INFO - eval_sde_adv.py - 2024-03-10 01:18:32,204 - Using device: cuda
There are 4 gpu.
After os.environ, There are 4 gpu.
ngpus: 4, adv_batch_size: 256
starting the model and loader...
using cifar10 resnet-50...
=> loading resnet-50 checkpoint 'pretrained/cifar10/resnet-50/weights.pt'
=> loaded resnet-50 checkpoint
diffusion_type: sde
model_config: Namespace(data=Namespace(category='cifar10', centered=True, dataset='CIFAR10', image_size=32, num_channels=3, random_flip=True, uniform_dequantization=False), device=device(type='cuda'), model=Namespace(attention_type='ddpm', attn_resolutions=[16], beta_max=20.0, beta_min=0.1, ch_mult=[1, 2, 2, 2], conditional=True, conv_size=3, dropout=0.1, ema_rate=0.9999, embedding_type='positional', fir=False, fir_kernel=[1, 3, 3, 1], fourier_scale=16, init_scale=0.0, name='ncsnpp', nf=128, nonlinearity='swish', normalization='GroupNorm', num_res_blocks=8, num_scales=1000, progressive='none', progressive_combine='sum', progressive_input='none', resamp_with_conv=True, resblock_type='biggan', scale_by_sigma=False, sigma_max=50, sigma_min=0.01, skip_rescale=True), optim=Namespace(beta1=0.9, eps=1e-08, grad_clip=1.0, lr=0.0002, optimizer='Adam', warmup=5000, weight_decay=0), sampling=Namespace(corrector='none', method='pc', n_steps_each=1, noise_removal=True, predictor='euler_maruyama', probability_flow=False, snr=0.16), training=Namespace(continuous=True, n_iters=950001, reduce_mean=True, sde='vpsde'))
t: 125, rand_t: False, t_delta: 15
use_bm: False
Files already downloaded and verified
length of validation data is:  64
x_val shape: torch.Size([64, 3, 32, 32])
x (min, max): (0.0, 1.0)
attack_version: rand, attack_list: ['apgd-ce', 'apgd-dlr']
apply the attack to classifier [Linf]...
using cifar10 resnet-50...
=> loading resnet-50 checkpoint 'pretrained/cifar10/resnet-50/weights.pt'
=> loaded resnet-50 checkpoint
setting parameters for rand version
[classifier] rand version with eot_iter: 20
Linf, epsilon: 0.031373
using rand version including apgd-ce, apgd-dlr.
initial accuracy: 95.31%
apgd-ce - 1/1 - 61 out of 61 successfully perturbed
robust accuracy after APGD-CE: 0.00% (total time 31.5 s)
max Linf perturbation: 0.03137, nan in tensor: 0, max: 1.00000, min: 0.00000
robust accuracy: 0.00%
x_adv_resnet shape: torch.Size([64, 3, 32, 32])
apply the attack to sde_adv [Linf]...
setting parameters for rand version
[adv_sde] rand version with eot_iter: 20
Linf, epsilon: 0.031373
using rand version including apgd-ce, apgd-dlr.
diffusion times: 0diffusion times: 0

diffusion times: 0
diffusion times: 0
x shape (before diffusion models): torch.Size([16, 3, 32, 32])
x shape (before classifier): torch.Size([16, 3, 32, 32])
Sampling time per batch: 00:12.16
x shape (before diffusion models): torch.Size([16, 3, 32, 32])
x shape (before classifier): torch.Size([16, 3, 32, 32])
Sampling time per batch: 00:13.45
x shape (before diffusion models): torch.Size([16, 3, 32, 32])
x shape (before classifier): torch.Size([16, 3, 32, 32])
Sampling time per batch: 00:13.89
x shape (before diffusion models): torch.Size([16, 3, 32, 32])
x shape (before classifier): torch.Size([16, 3, 32, 32])
Sampling time per batch: 00:13.99
initial accuracy: 85.94%
diffusion times: 5diffusion times: 5
diffusion times: 5

diffusion times: 5
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.28
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.38
diffusion times: 10diffusion times: 10diffusion times: 10diffusion times: 10



x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.22
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.40
diffusion times: 15diffusion times: 15diffusion times: 15diffusion times: 15



x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.15
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.31
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.53
diffusion times: 20diffusion times: 20diffusion times: 20diffusion times: 20



x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.18
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.36
diffusion times: 25diffusion times: 25diffusion times: 25

diffusion times: 25

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.18
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.43
diffusion times: 30diffusion times: 30diffusion times: 30

diffusion times: 30

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.25
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.37
diffusion times: 35diffusion times: 35diffusion times: 35diffusion times: 35



x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.15
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.37
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.37
diffusion times: 40diffusion times: 40diffusion times: 40
diffusion times: 40


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.33
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.34
diffusion times: 45
diffusion times: 45
diffusion times: 45
diffusion times: 45
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.33
diffusion times: 50
diffusion times: 50
diffusion times: 50diffusion times: 50

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.34
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.48
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.61
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.67
diffusion times: 55diffusion times: 55diffusion times: 55diffusion times: 55



x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.17
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.33
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.52
diffusion times: 60
diffusion times: 60
diffusion times: 60
diffusion times: 60
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.27
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.40
diffusion times: 65
diffusion times: 65
diffusion times: 65
diffusion times: 65
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.27
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.30
diffusion times: 70
diffusion times: 70
diffusion times: 70
diffusion times: 70
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.31
diffusion times: 75diffusion times: 75diffusion times: 75


diffusion times: 75
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.16
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.41
diffusion times: 80
diffusion times: 80
diffusion times: 80
diffusion times: 80
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.18
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.37
diffusion times: 85diffusion times: 85diffusion times: 85


diffusion times: 85
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.16
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.19
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.37
diffusion times: 90
diffusion times: 90
diffusion times: 90
diffusion times: 90
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.19
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.36
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.37
diffusion times: 95diffusion times: 95
diffusion times: 95

diffusion times: 95
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.30
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.53
diffusion times: 100
diffusion times: 100
diffusion times: 100
diffusion times: 100
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.26
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.31
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.42
diffusion times: 105
diffusion times: 105
diffusion times: 105diffusion times: 105

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.22
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.30
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.41
diffusion times: 110
diffusion times: 110
diffusion times: 110
diffusion times: 110
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.44
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.61
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.74
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.75
diffusion times: 115diffusion times: 115
diffusion times: 115

diffusion times: 115
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.34
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.41
diffusion times: 120
diffusion times: 120
diffusion times: 120
diffusion times: 120
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.38
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.42
diffusion times: 125diffusion times: 125

diffusion times: 125
diffusion times: 125
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.39
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.47
diffusion times: 130
diffusion times: 130diffusion times: 130
diffusion times: 130

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.24
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.33
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.38
diffusion times: 135
diffusion times: 135
diffusion times: 135
diffusion times: 135
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.19
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.30
diffusion times: 140
diffusion times: 140
diffusion times: 140
diffusion times: 140
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.15
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.17
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.53
diffusion times: 145
diffusion times: 145diffusion times: 145
diffusion times: 145

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.20
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.50
diffusion times: 150
diffusion times: 150
diffusion times: 150
diffusion times: 150
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.30
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.38
diffusion times: 155
diffusion times: 155
diffusion times: 155
diffusion times: 155
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.32
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.34
diffusion times: 160diffusion times: 160

diffusion times: 160
diffusion times: 160
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.40
diffusion times: 165
diffusion times: 165
diffusion times: 165
diffusion times: 165
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.18
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.29
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.31
diffusion times: 170
diffusion times: 170
diffusion times: 170
diffusion times: 170
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.35
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.47
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.57
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.60
diffusion times: 175
diffusion times: 175
diffusion times: 175
diffusion times: 175
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.21
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.25
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.36
diffusion times: 180
diffusion times: 180
diffusion times: 180
diffusion times: 180
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.34
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.41
diffusion times: 185diffusion times: 185diffusion times: 185diffusion times: 185



x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.26
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.28
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.50
diffusion times: 190
diffusion times: 190
diffusion times: 190
diffusion times: 190
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.25
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.43
diffusion times: 195
diffusion times: 195
diffusion times: 195
diffusion times: 195
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.23
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.24
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.27
diffusion times: 200
diffusion times: 200
diffusion times: 200
diffusion times: 200
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.16
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.37
diffusion times: 205
diffusion times: 205diffusion times: 205
diffusion times: 205

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.42
diffusion times: 210
diffusion times: 210
diffusion times: 210
diffusion times: 210
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.23
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.51
diffusion times: 215diffusion times: 215
diffusion times: 215diffusion times: 215


x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.21
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.26
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.31
diffusion times: 220
diffusion times: 220
diffusion times: 220
diffusion times: 220
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.30
diffusion times: 225diffusion times: 225diffusion times: 225diffusion times: 225



x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.41
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.63
diffusion times: 230diffusion times: 230diffusion times: 230
diffusion times: 230


x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.38
diffusion times: 235diffusion times: 235
diffusion times: 235

diffusion times: 235
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.22
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.30
diffusion times: 240
diffusion times: 240
diffusion times: 240
diffusion times: 240
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.20
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 245
diffusion times: 245
diffusion times: 245
diffusion times: 245
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.16
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.38
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.44
diffusion times: 250diffusion times: 250

diffusion times: 250
diffusion times: 250
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.22
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.23
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.28
diffusion times: 255diffusion times: 255diffusion times: 255


diffusion times: 255
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.23
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.53
diffusion times: 260diffusion times: 260

diffusion times: 260
diffusion times: 260
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.35
diffusion times: 265
diffusion times: 265
diffusion times: 265
diffusion times: 265
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.22
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.36
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.45
diffusion times: 270
diffusion times: 270
diffusion times: 270
diffusion times: 270
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.23
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.39
diffusion times: 275diffusion times: 275diffusion times: 275diffusion times: 275



x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.27
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.52
diffusion times: 280diffusion times: 280
diffusion times: 280

diffusion times: 280
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.30
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.41
diffusion times: 285diffusion times: 285diffusion times: 285
diffusion times: 285


x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.30
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.35
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.44
diffusion times: 290
diffusion times: 290diffusion times: 290
diffusion times: 290

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.45
diffusion times: 295
diffusion times: 295
diffusion times: 295
diffusion times: 295
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.16
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.29
diffusion times: 300
diffusion times: 300
diffusion times: 300
diffusion times: 300
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.17
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.19
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.25
diffusion times: 305
diffusion times: 305
diffusion times: 305diffusion times: 305

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.18
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.40
diffusion times: 310
diffusion times: 310
diffusion times: 310diffusion times: 310

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.29
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.37
diffusion times: 315
diffusion times: 315
diffusion times: 315
diffusion times: 315
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.30
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.35
diffusion times: 320
diffusion times: 320
diffusion times: 320
diffusion times: 320
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.18
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.45
diffusion times: 325
diffusion times: 325
diffusion times: 325
diffusion times: 325
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.22
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.24
diffusion times: 330
diffusion times: 330
diffusion times: 330
diffusion times: 330
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.36
diffusion times: 335
diffusion times: 335
diffusion times: 335
diffusion times: 335
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.24
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.31
diffusion times: 340
diffusion times: 340
diffusion times: 340
diffusion times: 340
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.33
diffusion times: 345
diffusion times: 345
diffusion times: 345diffusion times: 345

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.19
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.37
diffusion times: 350
diffusion times: 350diffusion times: 350

diffusion times: 350
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.26
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.45
diffusion times: 355
diffusion times: 355
diffusion times: 355
diffusion times: 355
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.39
diffusion times: 360
diffusion times: 360
diffusion times: 360
diffusion times: 360
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.23
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.40
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.50
diffusion times: 365diffusion times: 365

diffusion times: 365
diffusion times: 365
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.33
diffusion times: 370
diffusion times: 370
diffusion times: 370diffusion times: 370

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.35
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.37
diffusion times: 375
diffusion times: 375
diffusion times: 375
diffusion times: 375
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 380
diffusion times: 380
diffusion times: 380
diffusion times: 380
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.31
diffusion times: 385
diffusion times: 385
diffusion times: 385
diffusion times: 385
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.15
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.18
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.44
diffusion times: 390
diffusion times: 390
diffusion times: 390
diffusion times: 390
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.23
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.26
diffusion times: 395
diffusion times: 395
diffusion times: 395diffusion times: 395

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.26
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.31
diffusion times: 400diffusion times: 400diffusion times: 400

diffusion times: 400

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.23
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.45
diffusion times: 405
diffusion times: 405
diffusion times: 405diffusion times: 405

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.17
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.26
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.31
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.53
diffusion times: 410diffusion times: 410diffusion times: 410


diffusion times: 410
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.20
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.26
diffusion times: 415
diffusion times: 415diffusion times: 415

diffusion times: 415
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.48
diffusion times: 420
diffusion times: 420
diffusion times: 420
diffusion times: 420
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.27
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.31
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.47
diffusion times: 425
diffusion times: 425diffusion times: 425

diffusion times: 425
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.18
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.28
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.34
diffusion times: 430diffusion times: 430
diffusion times: 430

diffusion times: 430
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.37
diffusion times: 435
diffusion times: 435
diffusion times: 435diffusion times: 435

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.18
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.34
diffusion times: 440
diffusion times: 440diffusion times: 440diffusion times: 440


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.19
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.32
diffusion times: 445
diffusion times: 445diffusion times: 445

diffusion times: 445
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.19
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.36
diffusion times: 450diffusion times: 450diffusion times: 450


diffusion times: 450
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.30
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.32
diffusion times: 455diffusion times: 455

diffusion times: 455diffusion times: 455

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.23
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.46
diffusion times: 460diffusion times: 460

diffusion times: 460
diffusion times: 460
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.47
diffusion times: 465
diffusion times: 465
diffusion times: 465
diffusion times: 465
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.16
diffusion times: 470diffusion times: 470

diffusion times: 470
diffusion times: 470
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.25
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.31
diffusion times: 475
diffusion times: 475
diffusion times: 475
diffusion times: 475
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.18
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.38
diffusion times: 480diffusion times: 480

diffusion times: 480
diffusion times: 480
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.38
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.38
diffusion times: 485
diffusion times: 485
diffusion times: 485
diffusion times: 485
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.26
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.30
diffusion times: 490
diffusion times: 490
diffusion times: 490
diffusion times: 490
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.15
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.30
diffusion times: 495diffusion times: 495

diffusion times: 495
diffusion times: 495
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.45
diffusion times: 500
diffusion times: 500diffusion times: 500

diffusion times: 500
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.31
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.38
diffusion times: 505
diffusion times: 505diffusion times: 505
diffusion times: 505

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.18
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.27
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.28
diffusion times: 510
diffusion times: 510
diffusion times: 510
diffusion times: 510
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 515
diffusion times: 515diffusion times: 515
diffusion times: 515

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.28
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.35
diffusion times: 520diffusion times: 520diffusion times: 520


diffusion times: 520
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.46
diffusion times: 525diffusion times: 525

diffusion times: 525diffusion times: 525

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.25
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.33
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.35
diffusion times: 530diffusion times: 530diffusion times: 530


diffusion times: 530
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.19
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.21
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.34
diffusion times: 535
diffusion times: 535
diffusion times: 535
diffusion times: 535
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.32
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.42
diffusion times: 540diffusion times: 540diffusion times: 540


diffusion times: 540
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.18
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.23
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.35
diffusion times: 545
diffusion times: 545diffusion times: 545

diffusion times: 545
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.27
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.33
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.53
diffusion times: 550diffusion times: 550diffusion times: 550
diffusion times: 550


x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.19
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.27
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.26
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.32
diffusion times: 555diffusion times: 555

diffusion times: 555
diffusion times: 555
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.17
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.45
diffusion times: 560
diffusion times: 560diffusion times: 560
diffusion times: 560

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.16
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.39
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.39
diffusion times: 565
diffusion times: 565
diffusion times: 565
diffusion times: 565
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.20
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.29
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.48
diffusion times: 570
diffusion times: 570
diffusion times: 570
diffusion times: 570
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.19
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.41
diffusion times: 575
diffusion times: 575
diffusion times: 575
diffusion times: 575
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
diffusion times: 580
diffusion times: 580diffusion times: 580diffusion times: 580


x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.18
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.24
diffusion times: 585diffusion times: 585
diffusion times: 585

diffusion times: 585
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 590
diffusion times: 590diffusion times: 590
diffusion times: 590

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.26
diffusion times: 595
diffusion times: 595
diffusion times: 595
diffusion times: 595
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.41
diffusion times: 600diffusion times: 600

diffusion times: 600
diffusion times: 600
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.15
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.32
diffusion times: 605diffusion times: 605

diffusion times: 605
diffusion times: 605
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.41
diffusion times: 610
diffusion times: 610diffusion times: 610diffusion times: 610


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.27
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.40
diffusion times: 615
diffusion times: 615
diffusion times: 615
diffusion times: 615
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.26
diffusion times: 620diffusion times: 620

diffusion times: 620
diffusion times: 620
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.22
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.29
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.32
diffusion times: 625
diffusion times: 625
diffusion times: 625
diffusion times: 625
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.27
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.33
diffusion times: 630
diffusion times: 630
diffusion times: 630diffusion times: 630

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.38
diffusion times: 635
diffusion times: 635
diffusion times: 635
diffusion times: 635
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.38
diffusion times: 640
diffusion times: 640
diffusion times: 640
diffusion times: 640
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.32
diffusion times: 645
diffusion times: 645
diffusion times: 645diffusion times: 645

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 650
diffusion times: 650diffusion times: 650

diffusion times: 650
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.30
diffusion times: 655diffusion times: 655

diffusion times: 655
diffusion times: 655
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.34
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.44
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.65
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.66
diffusion times: 660
diffusion times: 660
diffusion times: 660
diffusion times: 660
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.27
diffusion times: 665
diffusion times: 665diffusion times: 665
diffusion times: 665

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.23
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.29
diffusion times: 670
diffusion times: 670diffusion times: 670

diffusion times: 670
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.39
diffusion times: 675
diffusion times: 675
diffusion times: 675
diffusion times: 675
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.37
diffusion times: 680
diffusion times: 680diffusion times: 680

diffusion times: 680
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.41
diffusion times: 685
diffusion times: 685diffusion times: 685diffusion times: 685


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.16
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 690
diffusion times: 690
diffusion times: 690
diffusion times: 690
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.20
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 695
diffusion times: 695
diffusion times: 695
diffusion times: 695
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.28
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.31
diffusion times: 700diffusion times: 700
diffusion times: 700

diffusion times: 700
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.24
diffusion times: 705diffusion times: 705

diffusion times: 705diffusion times: 705

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.15
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.30
diffusion times: 710
diffusion times: 710
diffusion times: 710
diffusion times: 710
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.18
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.28
diffusion times: 715diffusion times: 715diffusion times: 715

diffusion times: 715

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.31
diffusion times: 720diffusion times: 720diffusion times: 720


diffusion times: 720
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.20
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.43
diffusion times: 725diffusion times: 725

diffusion times: 725
diffusion times: 725
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.23
diffusion times: 730diffusion times: 730diffusion times: 730


diffusion times: 730
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.16
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.37
diffusion times: 735diffusion times: 735diffusion times: 735


diffusion times: 735
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.24
diffusion times: 740
diffusion times: 740
diffusion times: 740
diffusion times: 740
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.40
diffusion times: 745
diffusion times: 745diffusion times: 745
diffusion times: 745

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 750diffusion times: 750diffusion times: 750


diffusion times: 750
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.21
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.38
diffusion times: 755diffusion times: 755

diffusion times: 755
diffusion times: 755
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.23
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.26
diffusion times: 760
diffusion times: 760diffusion times: 760
diffusion times: 760

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.15
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 765
diffusion times: 765
diffusion times: 765
diffusion times: 765
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
diffusion times: 770
diffusion times: 770diffusion times: 770

diffusion times: 770
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.16
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.28
diffusion times: 775
diffusion times: 775
diffusion times: 775diffusion times: 775

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.21
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 780diffusion times: 780

diffusion times: 780
diffusion times: 780
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.28
diffusion times: 785
diffusion times: 785
diffusion times: 785diffusion times: 785

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.15
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.24
diffusion times: 790
diffusion times: 790
diffusion times: 790
diffusion times: 790
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.19
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.30
diffusion times: 795
diffusion times: 795
diffusion times: 795
diffusion times: 795
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.21
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.39
diffusion times: 800
diffusion times: 800
diffusion times: 800
diffusion times: 800
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 805diffusion times: 805diffusion times: 805diffusion times: 805



x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.39
diffusion times: 810
diffusion times: 810
diffusion times: 810
diffusion times: 810
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.32
diffusion times: 815
diffusion times: 815
diffusion times: 815
diffusion times: 815
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.28
diffusion times: 820
diffusion times: 820
diffusion times: 820
diffusion times: 820
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.30
diffusion times: 825
diffusion times: 825
diffusion times: 825
diffusion times: 825
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.23
diffusion times: 830
diffusion times: 830
diffusion times: 830
diffusion times: 830
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.20
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 835diffusion times: 835

diffusion times: 835diffusion times: 835

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
diffusion times: 840
diffusion times: 840
diffusion times: 840
diffusion times: 840
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.06
diffusion times: 845
diffusion times: 845diffusion times: 845

diffusion times: 845
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.64
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.16
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.29
diffusion times: 850
diffusion times: 850diffusion times: 850

diffusion times: 850
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.29
diffusion times: 855diffusion times: 855diffusion times: 855


diffusion times: 855
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.16
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 860diffusion times: 860diffusion times: 860


diffusion times: 860
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.29
diffusion times: 865
diffusion times: 865diffusion times: 865

diffusion times: 865
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.20
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.26
diffusion times: 870diffusion times: 870

diffusion times: 870
diffusion times: 870
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.23
diffusion times: 875
diffusion times: 875
diffusion times: 875diffusion times: 875

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
diffusion times: 880
diffusion times: 880
diffusion times: 880
diffusion times: 880
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.11
diffusion times: 885diffusion times: 885

diffusion times: 885
diffusion times: 885
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 890
diffusion times: 890
diffusion times: 890
diffusion times: 890
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.19
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.22
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.40
diffusion times: 895
diffusion times: 895
diffusion times: 895
diffusion times: 895
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.62
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.15
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.18
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.24
diffusion times: 900
diffusion times: 900
diffusion times: 900diffusion times: 900

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.39
diffusion times: 905
diffusion times: 905
diffusion times: 905
diffusion times: 905
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.26
diffusion times: 910diffusion times: 910
diffusion times: 910

diffusion times: 910
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 915
diffusion times: 915
diffusion times: 915
diffusion times: 915
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.25
diffusion times: 920
diffusion times: 920diffusion times: 920

diffusion times: 920
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.32
diffusion times: 925
diffusion times: 925
diffusion times: 925
diffusion times: 925
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.36
diffusion times: 930
diffusion times: 930
diffusion times: 930diffusion times: 930

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 935diffusion times: 935diffusion times: 935


diffusion times: 935
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.30
diffusion times: 940
diffusion times: 940
diffusion times: 940
diffusion times: 940
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.35
diffusion times: 945
diffusion times: 945
diffusion times: 945
diffusion times: 945
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.38
diffusion times: 950
diffusion times: 950diffusion times: 950

diffusion times: 950
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.21
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.32
diffusion times: 955
diffusion times: 955
diffusion times: 955
diffusion times: 955
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.15
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.45
diffusion times: 960
diffusion times: 960
diffusion times: 960diffusion times: 960

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.40
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.46
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.56
diffusion times: 965
diffusion times: 965
diffusion times: 965
diffusion times: 965
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.32
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.34
diffusion times: 970
diffusion times: 970
diffusion times: 970
diffusion times: 970
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.31
diffusion times: 975
diffusion times: 975
diffusion times: 975
diffusion times: 975
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.31
diffusion times: 980
diffusion times: 980diffusion times: 980diffusion times: 980


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.34
diffusion times: 985
diffusion times: 985
diffusion times: 985
diffusion times: 985
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.30
diffusion times: 990
diffusion times: 990
diffusion times: 990
diffusion times: 990
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.34
diffusion times: 995
diffusion times: 995
diffusion times: 995diffusion times: 995

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
diffusion times: 1000diffusion times: 1000

diffusion times: 1000
diffusion times: 1000
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.30
diffusion times: 1005
diffusion times: 1005
diffusion times: 1005
diffusion times: 1005
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.30
diffusion times: 1010
diffusion times: 1010
diffusion times: 1010diffusion times: 1010

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.26
diffusion times: 1015
diffusion times: 1015
diffusion times: 1015
diffusion times: 1015
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.23
diffusion times: 1020
diffusion times: 1020
diffusion times: 1020
diffusion times: 1020
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.19
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.27
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.31
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.65
diffusion times: 1025
diffusion times: 1025
diffusion times: 1025
diffusion times: 1025
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.36
diffusion times: 1030
diffusion times: 1030
diffusion times: 1030
diffusion times: 1030
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.15
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 1035
diffusion times: 1035
diffusion times: 1035
diffusion times: 1035
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.27
diffusion times: 1040diffusion times: 1040

diffusion times: 1040
diffusion times: 1040
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.25
diffusion times: 1045
diffusion times: 1045
diffusion times: 1045diffusion times: 1045

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.41
diffusion times: 1050
diffusion times: 1050diffusion times: 1050

diffusion times: 1050
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.37
diffusion times: 1055
diffusion times: 1055
diffusion times: 1055
diffusion times: 1055
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.21
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.25
diffusion times: 1060diffusion times: 1060

diffusion times: 1060
diffusion times: 1060
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.30
diffusion times: 1065
diffusion times: 1065
diffusion times: 1065
diffusion times: 1065
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 1070
diffusion times: 1070
diffusion times: 1070
diffusion times: 1070
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.19
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 1075
diffusion times: 1075
diffusion times: 1075
diffusion times: 1075
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.21
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.43
diffusion times: 1080
diffusion times: 1080
diffusion times: 1080diffusion times: 1080

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.28
diffusion times: 1085
diffusion times: 1085diffusion times: 1085diffusion times: 1085


x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.41
diffusion times: 1090
diffusion times: 1090
diffusion times: 1090
diffusion times: 1090
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.16
diffusion times: 1095diffusion times: 1095

diffusion times: 1095diffusion times: 1095

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.24
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.27
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.33
diffusion times: 1100
diffusion times: 1100
diffusion times: 1100diffusion times: 1100

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.36
diffusion times: 1105
diffusion times: 1105diffusion times: 1105

diffusion times: 1105
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.34
diffusion times: 1110diffusion times: 1110

diffusion times: 1110
diffusion times: 1110
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 1115
diffusion times: 1115
diffusion times: 1115
diffusion times: 1115
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.19
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.41
diffusion times: 1120
diffusion times: 1120
diffusion times: 1120
diffusion times: 1120
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.16
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.27
diffusion times: 1125
diffusion times: 1125
diffusion times: 1125diffusion times: 1125

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.18
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.41
diffusion times: 1130
diffusion times: 1130
diffusion times: 1130
diffusion times: 1130
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 1135diffusion times: 1135

diffusion times: 1135
diffusion times: 1135
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.22
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.31
diffusion times: 1140
diffusion times: 1140
diffusion times: 1140
diffusion times: 1140
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 1145
diffusion times: 1145
diffusion times: 1145
diffusion times: 1145
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.33
diffusion times: 1150
diffusion times: 1150
diffusion times: 1150
diffusion times: 1150
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.16
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 1155diffusion times: 1155
diffusion times: 1155

diffusion times: 1155
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.25
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.41
diffusion times: 1160diffusion times: 1160

diffusion times: 1160
diffusion times: 1160
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.35
diffusion times: 1165
diffusion times: 1165
diffusion times: 1165
diffusion times: 1165
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.36
diffusion times: 1170diffusion times: 1170
diffusion times: 1170
diffusion times: 1170

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.23
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.49
diffusion times: 1175diffusion times: 1175
diffusion times: 1175
diffusion times: 1175

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 1180
diffusion times: 1180diffusion times: 1180

diffusion times: 1180
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 1185
diffusion times: 1185
diffusion times: 1185diffusion times: 1185

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.31
diffusion times: 1190
diffusion times: 1190
diffusion times: 1190
diffusion times: 1190
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.24
diffusion times: 1195
diffusion times: 1195
diffusion times: 1195
diffusion times: 1195
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.39
diffusion times: 1200diffusion times: 1200
diffusion times: 1200
diffusion times: 1200

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.15
diffusion times: 1205
diffusion times: 1205
diffusion times: 1205diffusion times: 1205

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.36
diffusion times: 1210diffusion times: 1210diffusion times: 1210
diffusion times: 1210


x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 1215diffusion times: 1215diffusion times: 1215diffusion times: 1215



x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.21
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.31
diffusion times: 1220diffusion times: 1220diffusion times: 1220diffusion times: 1220



x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.29
diffusion times: 1225
diffusion times: 1225
diffusion times: 1225
diffusion times: 1225
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 1230diffusion times: 1230diffusion times: 1230
diffusion times: 1230


x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.69
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.30
diffusion times: 1235diffusion times: 1235

diffusion times: 1235diffusion times: 1235

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 1240diffusion times: 1240
diffusion times: 1240
diffusion times: 1240

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.24
diffusion times: 1245diffusion times: 1245diffusion times: 1245

diffusion times: 1245

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.28
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.29
diffusion times: 1250
diffusion times: 1250diffusion times: 1250diffusion times: 1250


x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.32
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.41
diffusion times: 1255
diffusion times: 1255
diffusion times: 1255diffusion times: 1255

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.38
diffusion times: 1260
diffusion times: 1260
diffusion times: 1260diffusion times: 1260

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.37
diffusion times: 1265diffusion times: 1265diffusion times: 1265diffusion times: 1265



x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.27
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.33
diffusion times: 1270diffusion times: 1270

diffusion times: 1270
diffusion times: 1270
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.28
diffusion times: 1275
diffusion times: 1275
diffusion times: 1275
diffusion times: 1275
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.25
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.26
diffusion times: 1280diffusion times: 1280

diffusion times: 1280diffusion times: 1280

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.15
diffusion times: 1285
diffusion times: 1285
diffusion times: 1285
diffusion times: 1285
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.27
diffusion times: 1290diffusion times: 1290
diffusion times: 1290

diffusion times: 1290
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.31
diffusion times: 1295diffusion times: 1295

diffusion times: 1295diffusion times: 1295

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.20
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 1300
diffusion times: 1300
diffusion times: 1300
diffusion times: 1300
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 1305diffusion times: 1305
diffusion times: 1305

diffusion times: 1305
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.11
diffusion times: 1310diffusion times: 1310

diffusion times: 1310
diffusion times: 1310
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.12
diffusion times: 1315diffusion times: 1315diffusion times: 1315diffusion times: 1315



x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.15
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.25
diffusion times: 1320diffusion times: 1320diffusion times: 1320


diffusion times: 1320
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.28
diffusion times: 1325diffusion times: 1325

diffusion times: 1325
diffusion times: 1325
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.15
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.42
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.55
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.66
diffusion times: 1330diffusion times: 1330
diffusion times: 1330
diffusion times: 1330

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.15
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.25
diffusion times: 1335
diffusion times: 1335diffusion times: 1335

diffusion times: 1335
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 1340
diffusion times: 1340
diffusion times: 1340
diffusion times: 1340
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.16
diffusion times: 1345
diffusion times: 1345diffusion times: 1345
diffusion times: 1345

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 1350diffusion times: 1350diffusion times: 1350diffusion times: 1350



x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.16
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.24
diffusion times: 1355diffusion times: 1355
diffusion times: 1355diffusion times: 1355


x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.16
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 1360
diffusion times: 1360
diffusion times: 1360diffusion times: 1360

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 1365diffusion times: 1365

diffusion times: 1365
diffusion times: 1365
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.25
diffusion times: 1370
diffusion times: 1370
diffusion times: 1370
diffusion times: 1370
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 1375diffusion times: 1375

diffusion times: 1375
diffusion times: 1375
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.49
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 1380
diffusion times: 1380
diffusion times: 1380
diffusion times: 1380
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 1385diffusion times: 1385
diffusion times: 1385

diffusion times: 1385
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.01
diffusion times: 1390
diffusion times: 1390
diffusion times: 1390
diffusion times: 1390
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.31
diffusion times: 1395diffusion times: 1395diffusion times: 1395


diffusion times: 1395
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 1400diffusion times: 1400diffusion times: 1400


diffusion times: 1400
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 1405diffusion times: 1405
diffusion times: 1405diffusion times: 1405


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 1410
diffusion times: 1410diffusion times: 1410

diffusion times: 1410
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.63
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
diffusion times: 1415diffusion times: 1415diffusion times: 1415


diffusion times: 1415
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.24
diffusion times: 1420
diffusion times: 1420
diffusion times: 1420diffusion times: 1420

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.06
diffusion times: 1425
diffusion times: 1425
diffusion times: 1425
diffusion times: 1425
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.23
diffusion times: 1430
diffusion times: 1430
diffusion times: 1430diffusion times: 1430

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.38
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 1435diffusion times: 1435diffusion times: 1435


diffusion times: 1435
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 1440diffusion times: 1440diffusion times: 1440
diffusion times: 1440


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.11
diffusion times: 1445diffusion times: 1445diffusion times: 1445


diffusion times: 1445
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
diffusion times: 1450
diffusion times: 1450
diffusion times: 1450
diffusion times: 1450
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.00
diffusion times: 1455diffusion times: 1455

diffusion times: 1455
diffusion times: 1455
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 1460diffusion times: 1460

diffusion times: 1460
diffusion times: 1460
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.30
diffusion times: 1465diffusion times: 1465diffusion times: 1465


diffusion times: 1465
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
diffusion times: 1470diffusion times: 1470diffusion times: 1470

diffusion times: 1470

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.46
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.07
diffusion times: 1475diffusion times: 1475
diffusion times: 1475

diffusion times: 1475
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.00
diffusion times: 1480diffusion times: 1480
diffusion times: 1480

diffusion times: 1480
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.23
diffusion times: 1485diffusion times: 1485

diffusion times: 1485
diffusion times: 1485
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 1490diffusion times: 1490diffusion times: 1490


diffusion times: 1490
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 1495diffusion times: 1495
diffusion times: 1495

diffusion times: 1495
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
diffusion times: 1500
diffusion times: 1500
diffusion times: 1500
diffusion times: 1500
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.12
diffusion times: 1505diffusion times: 1505

diffusion times: 1505
diffusion times: 1505
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
diffusion times: 1510
diffusion times: 1510
diffusion times: 1510
diffusion times: 1510
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.22
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.36
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.44
diffusion times: 1515diffusion times: 1515

diffusion times: 1515
diffusion times: 1515
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 1520
diffusion times: 1520
diffusion times: 1520diffusion times: 1520

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.56
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.15
diffusion times: 1525diffusion times: 1525diffusion times: 1525


diffusion times: 1525
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 1530diffusion times: 1530diffusion times: 1530


diffusion times: 1530
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.50
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.23
diffusion times: 1535diffusion times: 1535
diffusion times: 1535

diffusion times: 1535
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.62
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 1540
diffusion times: 1540
diffusion times: 1540
diffusion times: 1540
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
diffusion times: 1545diffusion times: 1545diffusion times: 1545


diffusion times: 1545
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.60
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
diffusion times: 1550
diffusion times: 1550
diffusion times: 1550diffusion times: 1550

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.53
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 1555diffusion times: 1555diffusion times: 1555

diffusion times: 1555

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
diffusion times: 1560diffusion times: 1560

diffusion times: 1560diffusion times: 1560

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 1565
diffusion times: 1565diffusion times: 1565

diffusion times: 1565
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.61
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.02
diffusion times: 1570diffusion times: 1570
diffusion times: 1570

diffusion times: 1570
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 1575
diffusion times: 1575
diffusion times: 1575diffusion times: 1575

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.16
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 1580
diffusion times: 1580diffusion times: 1580

diffusion times: 1580
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.01
diffusion times: 1585diffusion times: 1585
diffusion times: 1585diffusion times: 1585


x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.59
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
diffusion times: 1590
diffusion times: 1590
diffusion times: 1590
diffusion times: 1590
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.69
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.05
diffusion times: 1595diffusion times: 1595diffusion times: 1595diffusion times: 1595



x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.03
diffusion times: 1600diffusion times: 1600diffusion times: 1600


diffusion times: 1600
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.31
diffusion times: 1605diffusion times: 1605diffusion times: 1605diffusion times: 1605



x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.62
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.62
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.15
diffusion times: 1610diffusion times: 1610diffusion times: 1610
diffusion times: 1610


x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.99
diffusion times: 1615diffusion times: 1615diffusion times: 1615


diffusion times: 1615
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.50
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.94
diffusion times: 1620
diffusion times: 1620
diffusion times: 1620
diffusion times: 1620
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.64
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.69
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 1625diffusion times: 1625

diffusion times: 1625
diffusion times: 1625
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
diffusion times: 1630diffusion times: 1630

diffusion times: 1630
diffusion times: 1630
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 1635
diffusion times: 1635
diffusion times: 1635diffusion times: 1635

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.51
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
diffusion times: 1640
diffusion times: 1640
diffusion times: 1640
diffusion times: 1640
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 1645diffusion times: 1645
diffusion times: 1645
diffusion times: 1645

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.64
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 1650diffusion times: 1650diffusion times: 1650
diffusion times: 1650


x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.03
diffusion times: 1655
diffusion times: 1655
diffusion times: 1655
diffusion times: 1655
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.64
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
diffusion times: 1660diffusion times: 1660diffusion times: 1660diffusion times: 1660



x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.61
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
diffusion times: 1665
diffusion times: 1665diffusion times: 1665

diffusion times: 1665
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.15
diffusion times: 1670diffusion times: 1670

diffusion times: 1670
diffusion times: 1670
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
diffusion times: 1675diffusion times: 1675diffusion times: 1675


diffusion times: 1675
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.15
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.30
diffusion times: 1680
diffusion times: 1680
diffusion times: 1680
diffusion times: 1680
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 1685
diffusion times: 1685
diffusion times: 1685
diffusion times: 1685
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.55
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 1690diffusion times: 1690
diffusion times: 1690

diffusion times: 1690
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.06
diffusion times: 1695
diffusion times: 1695
diffusion times: 1695
diffusion times: 1695
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.15
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.27
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.42
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.50
diffusion times: 1700
diffusion times: 1700
diffusion times: 1700
diffusion times: 1700
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.24
diffusion times: 1705diffusion times: 1705

diffusion times: 1705
diffusion times: 1705
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 1710
diffusion times: 1710
diffusion times: 1710
diffusion times: 1710
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.68
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 1715diffusion times: 1715diffusion times: 1715diffusion times: 1715



x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.57
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.02
diffusion times: 1720diffusion times: 1720
diffusion times: 1720
diffusion times: 1720

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.62
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.15
diffusion times: 1725diffusion times: 1725
diffusion times: 1725

diffusion times: 1725
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 1730
diffusion times: 1730
diffusion times: 1730
diffusion times: 1730
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 1735diffusion times: 1735

diffusion times: 1735diffusion times: 1735

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
diffusion times: 1740diffusion times: 1740

diffusion times: 1740diffusion times: 1740

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.11
diffusion times: 1745diffusion times: 1745diffusion times: 1745diffusion times: 1745



x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.68
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.26
diffusion times: 1750
diffusion times: 1750
diffusion times: 1750diffusion times: 1750

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.48
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.00
diffusion times: 1755diffusion times: 1755
diffusion times: 1755diffusion times: 1755


x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.69
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
diffusion times: 1760diffusion times: 1760
diffusion times: 1760
diffusion times: 1760

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.69
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 1765diffusion times: 1765diffusion times: 1765
diffusion times: 1765


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.87
diffusion times: 1770diffusion times: 1770diffusion times: 1770


diffusion times: 1770
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.16
diffusion times: 1775diffusion times: 1775
diffusion times: 1775

diffusion times: 1775
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.16
diffusion times: 1780diffusion times: 1780diffusion times: 1780
diffusion times: 1780


x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.46
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.03
diffusion times: 1785diffusion times: 1785diffusion times: 1785


diffusion times: 1785
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.44
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.60
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.98
diffusion times: 1790diffusion times: 1790diffusion times: 1790


diffusion times: 1790
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.57
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.03
diffusion times: 1795diffusion times: 1795
diffusion times: 1795
diffusion times: 1795

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.07
diffusion times: 1800diffusion times: 1800

diffusion times: 1800
diffusion times: 1800
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 1805
diffusion times: 1805
diffusion times: 1805
diffusion times: 1805
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.61
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 1810diffusion times: 1810diffusion times: 1810


diffusion times: 1810
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 1815
diffusion times: 1815
diffusion times: 1815
diffusion times: 1815
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.05
diffusion times: 1820diffusion times: 1820
diffusion times: 1820

diffusion times: 1820
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.07
diffusion times: 1825
diffusion times: 1825
diffusion times: 1825
diffusion times: 1825
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.11
diffusion times: 1830diffusion times: 1830diffusion times: 1830


diffusion times: 1830
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.06
diffusion times: 1835diffusion times: 1835diffusion times: 1835

diffusion times: 1835

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.11
diffusion times: 1840diffusion times: 1840

diffusion times: 1840diffusion times: 1840

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.02
diffusion times: 1845
diffusion times: 1845diffusion times: 1845
diffusion times: 1845

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 1850diffusion times: 1850
diffusion times: 1850
diffusion times: 1850

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.09
diffusion times: 1855
diffusion times: 1855
diffusion times: 1855
diffusion times: 1855
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.53
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 1860
diffusion times: 1860
diffusion times: 1860diffusion times: 1860

x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.62
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 1865diffusion times: 1865
diffusion times: 1865

diffusion times: 1865
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.23
diffusion times: 1870diffusion times: 1870
diffusion times: 1870
diffusion times: 1870

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.50
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 1875diffusion times: 1875diffusion times: 1875
diffusion times: 1875


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 1880
diffusion times: 1880diffusion times: 1880

diffusion times: 1880
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.31
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.37
diffusion times: 1885diffusion times: 1885
diffusion times: 1885

diffusion times: 1885
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.64
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.11
diffusion times: 1890diffusion times: 1890

diffusion times: 1890
diffusion times: 1890
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 1895
diffusion times: 1895
diffusion times: 1895
diffusion times: 1895
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.64
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.11
diffusion times: 1900diffusion times: 1900
diffusion times: 1900

diffusion times: 1900
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.63
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 1905diffusion times: 1905diffusion times: 1905


diffusion times: 1905
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.63
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 1910
diffusion times: 1910
diffusion times: 1910
diffusion times: 1910
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.47
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.95
diffusion times: 1915diffusion times: 1915
diffusion times: 1915

diffusion times: 1915
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
diffusion times: 1920diffusion times: 1920

diffusion times: 1920
diffusion times: 1920
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 1925
diffusion times: 1925
diffusion times: 1925
diffusion times: 1925
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.09
diffusion times: 1930diffusion times: 1930

diffusion times: 1930
diffusion times: 1930
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 1935
diffusion times: 1935
diffusion times: 1935
diffusion times: 1935
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.93
diffusion times: 1940diffusion times: 1940diffusion times: 1940


diffusion times: 1940
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
diffusion times: 1945diffusion times: 1945diffusion times: 1945


diffusion times: 1945
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.07
diffusion times: 1950diffusion times: 1950
diffusion times: 1950

diffusion times: 1950
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 1955
diffusion times: 1955
diffusion times: 1955
diffusion times: 1955
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.07
diffusion times: 1960diffusion times: 1960
diffusion times: 1960

diffusion times: 1960
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 1965diffusion times: 1965
diffusion times: 1965
diffusion times: 1965

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.12
diffusion times: 1970
diffusion times: 1970
diffusion times: 1970
diffusion times: 1970
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.60
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
diffusion times: 1975diffusion times: 1975

diffusion times: 1975
diffusion times: 1975
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
diffusion times: 1980diffusion times: 1980
diffusion times: 1980

diffusion times: 1980
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 1985diffusion times: 1985

diffusion times: 1985
diffusion times: 1985
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.95
diffusion times: 1990diffusion times: 1990diffusion times: 1990


diffusion times: 1990
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.68
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.15
diffusion times: 1995diffusion times: 1995diffusion times: 1995


diffusion times: 1995
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 2000
diffusion times: 2000diffusion times: 2000

diffusion times: 2000
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 2005diffusion times: 2005diffusion times: 2005


diffusion times: 2005
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.59
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.15
diffusion times: 2010diffusion times: 2010diffusion times: 2010


diffusion times: 2010
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.92
diffusion times: 2015
diffusion times: 2015diffusion times: 2015diffusion times: 2015


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.40
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.54
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.06
diffusion times: 2020
diffusion times: 2020
diffusion times: 2020
diffusion times: 2020
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([13, 3, 32, 32])
x shape (before classifier): torch.Size([13, 3, 32, 32])
Sampling time per batch: 00:13.08
apgd-ce - 1/1 - 7 out of 55 successfully perturbed
robust accuracy after APGD-CE: 75.00% (total time 59573.9 s)
diffusion times: 2025
diffusion times: 2025
diffusion times: 2025
diffusion times: 2025
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.23
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.62
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.90
diffusion times: 2030diffusion times: 2030
diffusion times: 2030

diffusion times: 2030
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.27
diffusion times: 2035diffusion times: 2035

diffusion times: 2035
diffusion times: 2035
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.28
diffusion times: 2040
diffusion times: 2040
diffusion times: 2040
diffusion times: 2040
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 2045diffusion times: 2045
diffusion times: 2045

diffusion times: 2045
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.64
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.68
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.02
diffusion times: 2050
diffusion times: 2050
diffusion times: 2050
diffusion times: 2050
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.25
diffusion times: 2055diffusion times: 2055diffusion times: 2055

diffusion times: 2055

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.63
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.15
diffusion times: 2060diffusion times: 2060diffusion times: 2060
diffusion times: 2060


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.16
diffusion times: 2065
diffusion times: 2065
diffusion times: 2065diffusion times: 2065

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.26
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.32
diffusion times: 2070
diffusion times: 2070
diffusion times: 2070
diffusion times: 2070
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.62
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 2075diffusion times: 2075diffusion times: 2075


diffusion times: 2075
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.07
diffusion times: 2080
diffusion times: 2080
diffusion times: 2080
diffusion times: 2080
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.10
diffusion times: 2085diffusion times: 2085

diffusion times: 2085
diffusion times: 2085
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.47
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.08
diffusion times: 2090diffusion times: 2090diffusion times: 2090


diffusion times: 2090
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.64
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.03
diffusion times: 2095
diffusion times: 2095
diffusion times: 2095
diffusion times: 2095
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.63
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 2100diffusion times: 2100
diffusion times: 2100

diffusion times: 2100
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.24
diffusion times: 2105
diffusion times: 2105
diffusion times: 2105
diffusion times: 2105
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.69
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.97
diffusion times: 2110
diffusion times: 2110
diffusion times: 2110diffusion times: 2110

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.54
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.26
diffusion times: 2115
diffusion times: 2115diffusion times: 2115diffusion times: 2115


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.41
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.10
diffusion times: 2120diffusion times: 2120diffusion times: 2120


diffusion times: 2120
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.59
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 2125diffusion times: 2125

diffusion times: 2125
diffusion times: 2125
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.00
diffusion times: 2130
diffusion times: 2130
diffusion times: 2130diffusion times: 2130

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 2135
diffusion times: 2135diffusion times: 2135
diffusion times: 2135

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.56
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.08
diffusion times: 2140diffusion times: 2140
diffusion times: 2140

diffusion times: 2140
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.94
diffusion times: 2145diffusion times: 2145

diffusion times: 2145
diffusion times: 2145
x shape (before diffusion models): torch.Size([12, 3, 32, 32])x shape (before diffusion models): torch.Size([11, 3, 32, 32])

x shape (before classifier): torch.Size([12, 3, 32, 32])x shape (before classifier): torch.Size([11, 3, 32, 32])

Sampling time per batch: 00:12.91Sampling time per batch: 00:12.91

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.06
diffusion times: 2150
diffusion times: 2150
diffusion times: 2150
diffusion times: 2150
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.47
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.93
diffusion times: 2155diffusion times: 2155

diffusion times: 2155diffusion times: 2155

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.27
diffusion times: 2160diffusion times: 2160
diffusion times: 2160

diffusion times: 2160
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.18
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.37
diffusion times: 2165diffusion times: 2165diffusion times: 2165diffusion times: 2165



x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 2170diffusion times: 2170diffusion times: 2170
diffusion times: 2170


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.61
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.05
diffusion times: 2175diffusion times: 2175diffusion times: 2175diffusion times: 2175



x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.08
diffusion times: 2180
diffusion times: 2180
diffusion times: 2180diffusion times: 2180

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.02
diffusion times: 2185
diffusion times: 2185
diffusion times: 2185
diffusion times: 2185
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 2190
diffusion times: 2190
diffusion times: 2190
diffusion times: 2190
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.38
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.39
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.51
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.74
diffusion times: 2195
diffusion times: 2195diffusion times: 2195diffusion times: 2195


x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.13
diffusion times: 2200diffusion times: 2200

diffusion times: 2200
diffusion times: 2200
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.08
diffusion times: 2205
diffusion times: 2205
diffusion times: 2205diffusion times: 2205

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.04
diffusion times: 2210diffusion times: 2210diffusion times: 2210

diffusion times: 2210

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.60
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.07
diffusion times: 2215
diffusion times: 2215
diffusion times: 2215
diffusion times: 2215
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.60
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 2220diffusion times: 2220diffusion times: 2220


diffusion times: 2220
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.05
diffusion times: 2225diffusion times: 2225diffusion times: 2225


diffusion times: 2225
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 2230diffusion times: 2230
diffusion times: 2230

diffusion times: 2230
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.61
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 2235
diffusion times: 2235
diffusion times: 2235diffusion times: 2235

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.16
diffusion times: 2240
diffusion times: 2240
diffusion times: 2240
diffusion times: 2240
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.33
diffusion times: 2245diffusion times: 2245diffusion times: 2245


diffusion times: 2245
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.49
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.06
diffusion times: 2250
diffusion times: 2250
diffusion times: 2250
diffusion times: 2250
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.16
diffusion times: 2255diffusion times: 2255diffusion times: 2255diffusion times: 2255



x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.69
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.18
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.27
diffusion times: 2260diffusion times: 2260diffusion times: 2260


diffusion times: 2260
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.30
diffusion times: 2265diffusion times: 2265

diffusion times: 2265diffusion times: 2265

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.05
diffusion times: 2270diffusion times: 2270
diffusion times: 2270

diffusion times: 2270
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.06
diffusion times: 2275
diffusion times: 2275
diffusion times: 2275
diffusion times: 2275
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.34
diffusion times: 2280
diffusion times: 2280
diffusion times: 2280diffusion times: 2280

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.04
diffusion times: 2285diffusion times: 2285diffusion times: 2285

diffusion times: 2285

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.57
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.27
diffusion times: 2290diffusion times: 2290diffusion times: 2290


diffusion times: 2290
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.48
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
diffusion times: 2295
diffusion times: 2295
diffusion times: 2295
diffusion times: 2295
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.61
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.11
diffusion times: 2300diffusion times: 2300
diffusion times: 2300
diffusion times: 2300

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.55
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.11
diffusion times: 2305diffusion times: 2305

diffusion times: 2305
diffusion times: 2305
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.58
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.32
diffusion times: 2310
diffusion times: 2310
diffusion times: 2310diffusion times: 2310

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 2315diffusion times: 2315diffusion times: 2315



diffusion times: 2315x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 2320diffusion times: 2320
diffusion times: 2320
diffusion times: 2320

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 2325diffusion times: 2325diffusion times: 2325
diffusion times: 2325


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.47
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.09
diffusion times: 2330
diffusion times: 2330
diffusion times: 2330
diffusion times: 2330
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.63
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 2335diffusion times: 2335

diffusion times: 2335diffusion times: 2335

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.60
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.60
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 2340
diffusion times: 2340diffusion times: 2340

diffusion times: 2340
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.30
diffusion times: 2345diffusion times: 2345
diffusion times: 2345diffusion times: 2345


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.12
diffusion times: 2350
diffusion times: 2350
diffusion times: 2350diffusion times: 2350

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.16
diffusion times: 2355diffusion times: 2355diffusion times: 2355diffusion times: 2355



x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.18
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 2360diffusion times: 2360

diffusion times: 2360
diffusion times: 2360
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 2365diffusion times: 2365diffusion times: 2365


diffusion times: 2365
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.63
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.05
diffusion times: 2370diffusion times: 2370

diffusion times: 2370
diffusion times: 2370
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.68
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 2375diffusion times: 2375diffusion times: 2375


diffusion times: 2375
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.25
diffusion times: 2380
diffusion times: 2380diffusion times: 2380diffusion times: 2380


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 2385
diffusion times: 2385diffusion times: 2385

diffusion times: 2385
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.61
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.18
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 2390
diffusion times: 2390
diffusion times: 2390
diffusion times: 2390
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.15
diffusion times: 2395diffusion times: 2395diffusion times: 2395


diffusion times: 2395
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.15
diffusion times: 2400diffusion times: 2400
diffusion times: 2400

diffusion times: 2400
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.69
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 2405diffusion times: 2405

diffusion times: 2405
diffusion times: 2405
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.12
diffusion times: 2410
diffusion times: 2410
diffusion times: 2410
diffusion times: 2410
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.68
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.01
diffusion times: 2415diffusion times: 2415diffusion times: 2415


diffusion times: 2415
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.15
diffusion times: 2420diffusion times: 2420diffusion times: 2420


diffusion times: 2420
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.10
diffusion times: 2425
diffusion times: 2425
diffusion times: 2425
diffusion times: 2425
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.54
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.07
diffusion times: 2430diffusion times: 2430
diffusion times: 2430

diffusion times: 2430
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.52
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.61
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.97
diffusion times: 2435diffusion times: 2435

diffusion times: 2435
diffusion times: 2435
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.23
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.25
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.37
diffusion times: 2440
diffusion times: 2440diffusion times: 2440
diffusion times: 2440

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.90
diffusion times: 2445diffusion times: 2445diffusion times: 2445


diffusion times: 2445
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.06
diffusion times: 2450diffusion times: 2450diffusion times: 2450diffusion times: 2450



x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.16
diffusion times: 2455diffusion times: 2455diffusion times: 2455


diffusion times: 2455
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.51
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 2460
diffusion times: 2460
diffusion times: 2460diffusion times: 2460

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.64
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.12
diffusion times: 2465
diffusion times: 2465
diffusion times: 2465
diffusion times: 2465
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.56
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.58
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.15
diffusion times: 2470diffusion times: 2470diffusion times: 2470


diffusion times: 2470
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.11
diffusion times: 2475diffusion times: 2475diffusion times: 2475
diffusion times: 2475


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 2480diffusion times: 2480

diffusion times: 2480diffusion times: 2480

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.09
diffusion times: 2485
diffusion times: 2485
diffusion times: 2485
diffusion times: 2485
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.29
diffusion times: 2490
diffusion times: 2490
diffusion times: 2490
diffusion times: 2490
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.69
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 2495diffusion times: 2495

diffusion times: 2495diffusion times: 2495

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.15
diffusion times: 2500diffusion times: 2500diffusion times: 2500diffusion times: 2500



x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.13
diffusion times: 2505diffusion times: 2505

diffusion times: 2505
diffusion times: 2505
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.62
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.08
diffusion times: 2510
diffusion times: 2510
diffusion times: 2510
diffusion times: 2510
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.97
diffusion times: 2515
diffusion times: 2515diffusion times: 2515

diffusion times: 2515
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.62
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.11
diffusion times: 2520diffusion times: 2520diffusion times: 2520


diffusion times: 2520
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.68
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 2525
diffusion times: 2525
diffusion times: 2525diffusion times: 2525

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.56
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.10
diffusion times: 2530
diffusion times: 2530
diffusion times: 2530
diffusion times: 2530
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 2535diffusion times: 2535

diffusion times: 2535
diffusion times: 2535
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.60
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 2540
diffusion times: 2540
diffusion times: 2540diffusion times: 2540

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.16
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 2545diffusion times: 2545diffusion times: 2545


diffusion times: 2545
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.24
diffusion times: 2550diffusion times: 2550
diffusion times: 2550
diffusion times: 2550

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 2555diffusion times: 2555diffusion times: 2555
diffusion times: 2555


x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.03
diffusion times: 2560diffusion times: 2560
diffusion times: 2560diffusion times: 2560


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.64
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.28
diffusion times: 2565diffusion times: 2565diffusion times: 2565diffusion times: 2565



x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.58
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.16
diffusion times: 2570
diffusion times: 2570diffusion times: 2570
diffusion times: 2570

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 2575
diffusion times: 2575diffusion times: 2575diffusion times: 2575


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.10
diffusion times: 2580diffusion times: 2580

diffusion times: 2580diffusion times: 2580

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.59
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.24
diffusion times: 2585diffusion times: 2585
diffusion times: 2585

diffusion times: 2585
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.03
diffusion times: 2590diffusion times: 2590diffusion times: 2590

diffusion times: 2590

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.16
diffusion times: 2595diffusion times: 2595
diffusion times: 2595

diffusion times: 2595
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.52
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.12
diffusion times: 2600
diffusion times: 2600
diffusion times: 2600
diffusion times: 2600
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.55
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 2605
diffusion times: 2605diffusion times: 2605

diffusion times: 2605
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.69
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.10
diffusion times: 2610diffusion times: 2610diffusion times: 2610

diffusion times: 2610

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 2615
diffusion times: 2615
diffusion times: 2615
diffusion times: 2615
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.49
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.02
diffusion times: 2620
diffusion times: 2620
diffusion times: 2620
diffusion times: 2620
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.51
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.66
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.65
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.78
diffusion times: 2625diffusion times: 2625diffusion times: 2625


diffusion times: 2625
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.02
diffusion times: 2630diffusion times: 2630

diffusion times: 2630
diffusion times: 2630
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.05
diffusion times: 2635
diffusion times: 2635
diffusion times: 2635
diffusion times: 2635
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.68
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.13
diffusion times: 2640
diffusion times: 2640
diffusion times: 2640diffusion times: 2640

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.64
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.69
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.04
diffusion times: 2645diffusion times: 2645diffusion times: 2645


diffusion times: 2645
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.23
diffusion times: 2650diffusion times: 2650
diffusion times: 2650diffusion times: 2650


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.07
diffusion times: 2655diffusion times: 2655
diffusion times: 2655

diffusion times: 2655
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 2660
diffusion times: 2660
diffusion times: 2660
diffusion times: 2660
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 2665

diffusion times: 2665diffusion times: 2665
diffusion times: 2665
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.54
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.27
diffusion times: 2670
diffusion times: 2670
diffusion times: 2670diffusion times: 2670

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.19
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 2675diffusion times: 2675

diffusion times: 2675diffusion times: 2675

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 2680diffusion times: 2680diffusion times: 2680


diffusion times: 2680
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 2685diffusion times: 2685diffusion times: 2685


diffusion times: 2685
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.40
diffusion times: 2690diffusion times: 2690diffusion times: 2690diffusion times: 2690



x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 2695diffusion times: 2695diffusion times: 2695
diffusion times: 2695


x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.57
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.01
diffusion times: 2700
diffusion times: 2700
diffusion times: 2700
diffusion times: 2700
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.35
diffusion times: 2705
diffusion times: 2705
diffusion times: 2705
diffusion times: 2705
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 2710
diffusion times: 2710
diffusion times: 2710
diffusion times: 2710
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.64
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.05
diffusion times: 2715diffusion times: 2715
diffusion times: 2715

diffusion times: 2715
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.28
diffusion times: 2720diffusion times: 2720
diffusion times: 2720

diffusion times: 2720
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.68
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.16
diffusion times: 2725diffusion times: 2725

diffusion times: 2725
diffusion times: 2725
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.09
diffusion times: 2730diffusion times: 2730diffusion times: 2730
diffusion times: 2730


x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.05
diffusion times: 2735
diffusion times: 2735diffusion times: 2735diffusion times: 2735


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.50
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.10
diffusion times: 2740diffusion times: 2740
diffusion times: 2740

diffusion times: 2740
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.51
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 2745diffusion times: 2745diffusion times: 2745


diffusion times: 2745
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.09
diffusion times: 2750diffusion times: 2750

diffusion times: 2750diffusion times: 2750

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.28
diffusion times: 2755diffusion times: 2755diffusion times: 2755
diffusion times: 2755


x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.10
diffusion times: 2760diffusion times: 2760

diffusion times: 2760diffusion times: 2760

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.04
diffusion times: 2765diffusion times: 2765diffusion times: 2765


diffusion times: 2765
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 2770diffusion times: 2770diffusion times: 2770


diffusion times: 2770
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.16
diffusion times: 2775diffusion times: 2775diffusion times: 2775
diffusion times: 2775


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 2780diffusion times: 2780diffusion times: 2780diffusion times: 2780



x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 2785
diffusion times: 2785
diffusion times: 2785
diffusion times: 2785
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 2790diffusion times: 2790diffusion times: 2790


diffusion times: 2790
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.27
diffusion times: 2795diffusion times: 2795diffusion times: 2795

diffusion times: 2795

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.28
diffusion times: 2800diffusion times: 2800

diffusion times: 2800
diffusion times: 2800
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.10
diffusion times: 2805diffusion times: 2805
diffusion times: 2805
diffusion times: 2805

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.04
diffusion times: 2810diffusion times: 2810
diffusion times: 2810
diffusion times: 2810

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.55
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.06
diffusion times: 2815
diffusion times: 2815
diffusion times: 2815
diffusion times: 2815
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.19
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.31
diffusion times: 2820diffusion times: 2820

diffusion times: 2820
diffusion times: 2820
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.12
diffusion times: 2825
diffusion times: 2825diffusion times: 2825diffusion times: 2825


x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.13
diffusion times: 2830
diffusion times: 2830
diffusion times: 2830
diffusion times: 2830
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 2835
diffusion times: 2835
diffusion times: 2835
diffusion times: 2835
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.27
diffusion times: 2840
diffusion times: 2840
diffusion times: 2840
diffusion times: 2840
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.61
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 2845diffusion times: 2845diffusion times: 2845
diffusion times: 2845


x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.61
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.01
diffusion times: 2850diffusion times: 2850

diffusion times: 2850
diffusion times: 2850
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.12
diffusion times: 2855diffusion times: 2855diffusion times: 2855


diffusion times: 2855
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.69
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.09
diffusion times: 2860
diffusion times: 2860
diffusion times: 2860diffusion times: 2860

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.63
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 2865diffusion times: 2865diffusion times: 2865diffusion times: 2865



x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 2870
diffusion times: 2870
diffusion times: 2870
diffusion times: 2870
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.61
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.24
diffusion times: 2875
diffusion times: 2875diffusion times: 2875
diffusion times: 2875

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.68
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 2880diffusion times: 2880
diffusion times: 2880

diffusion times: 2880
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.64
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 2885diffusion times: 2885diffusion times: 2885


diffusion times: 2885
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 2890diffusion times: 2890
diffusion times: 2890

diffusion times: 2890
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.16
diffusion times: 2895diffusion times: 2895diffusion times: 2895
diffusion times: 2895


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.16
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.34
diffusion times: 2900diffusion times: 2900
diffusion times: 2900

diffusion times: 2900
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.16
diffusion times: 2905
diffusion times: 2905
diffusion times: 2905
diffusion times: 2905
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.10
diffusion times: 2910
diffusion times: 2910
diffusion times: 2910
diffusion times: 2910
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.07
diffusion times: 2915
diffusion times: 2915
diffusion times: 2915
diffusion times: 2915
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 2920
diffusion times: 2920diffusion times: 2920diffusion times: 2920


x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.02
diffusion times: 2925diffusion times: 2925diffusion times: 2925


diffusion times: 2925
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.69
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.11
diffusion times: 2930
diffusion times: 2930
diffusion times: 2930diffusion times: 2930

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 2935diffusion times: 2935

diffusion times: 2935
diffusion times: 2935
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 2940
diffusion times: 2940
diffusion times: 2940diffusion times: 2940

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.10
diffusion times: 2945diffusion times: 2945diffusion times: 2945


diffusion times: 2945
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.26
diffusion times: 2950diffusion times: 2950diffusion times: 2950

diffusion times: 2950

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.68
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 2955diffusion times: 2955
diffusion times: 2955
diffusion times: 2955

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.09
diffusion times: 2960
diffusion times: 2960
diffusion times: 2960
diffusion times: 2960
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.62
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 2965diffusion times: 2965diffusion times: 2965


diffusion times: 2965
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.24
diffusion times: 2970diffusion times: 2970diffusion times: 2970diffusion times: 2970



x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.28
diffusion times: 2975
diffusion times: 2975
diffusion times: 2975
diffusion times: 2975
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.27
diffusion times: 2980
diffusion times: 2980
diffusion times: 2980
diffusion times: 2980
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.23
diffusion times: 2985diffusion times: 2985
diffusion times: 2985diffusion times: 2985


x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.26
diffusion times: 2990diffusion times: 2990

diffusion times: 2990diffusion times: 2990

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.64
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.27
diffusion times: 2995diffusion times: 2995diffusion times: 2995
diffusion times: 2995


x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.35
diffusion times: 3000diffusion times: 3000diffusion times: 3000diffusion times: 3000



x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.54
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 3005
diffusion times: 3005
diffusion times: 3005
diffusion times: 3005
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.12
diffusion times: 3010
diffusion times: 3010
diffusion times: 3010
diffusion times: 3010
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.29
diffusion times: 3015
diffusion times: 3015
diffusion times: 3015
diffusion times: 3015
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.17
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.22
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.26
diffusion times: 3020
diffusion times: 3020diffusion times: 3020

diffusion times: 3020
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.06
diffusion times: 3025
diffusion times: 3025
diffusion times: 3025
diffusion times: 3025
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.26
diffusion times: 3030diffusion times: 3030diffusion times: 3030


diffusion times: 3030
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.27
diffusion times: 3035
diffusion times: 3035
diffusion times: 3035
diffusion times: 3035
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 3040diffusion times: 3040

diffusion times: 3040diffusion times: 3040

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.53
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.56
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.28
diffusion times: 3045
diffusion times: 3045
diffusion times: 3045diffusion times: 3045

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.12
diffusion times: 3050diffusion times: 3050diffusion times: 3050diffusion times: 3050



x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.30
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.48
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.56
diffusion times: 3055diffusion times: 3055

diffusion times: 3055
diffusion times: 3055
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.60
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 3060diffusion times: 3060
diffusion times: 3060
diffusion times: 3060

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.34
diffusion times: 3065diffusion times: 3065diffusion times: 3065


diffusion times: 3065
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.23
diffusion times: 3070
diffusion times: 3070diffusion times: 3070diffusion times: 3070


x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.10
diffusion times: 3075diffusion times: 3075

diffusion times: 3075
diffusion times: 3075
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 3080diffusion times: 3080diffusion times: 3080diffusion times: 3080



x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.13
diffusion times: 3085diffusion times: 3085

diffusion times: 3085
diffusion times: 3085
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.15
diffusion times: 3090diffusion times: 3090diffusion times: 3090


diffusion times: 3090
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.62
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 3095
diffusion times: 3095
diffusion times: 3095
diffusion times: 3095
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.22
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.41
diffusion times: 3100diffusion times: 3100diffusion times: 3100


diffusion times: 3100
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.19
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.32
diffusion times: 3105diffusion times: 3105diffusion times: 3105


diffusion times: 3105
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.15
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.27
diffusion times: 3110diffusion times: 3110diffusion times: 3110


diffusion times: 3110
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.18
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.27
diffusion times: 3115
diffusion times: 3115diffusion times: 3115
diffusion times: 3115

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.24
diffusion times: 3120diffusion times: 3120

diffusion times: 3120
diffusion times: 3120
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.36
diffusion times: 3125diffusion times: 3125diffusion times: 3125

diffusion times: 3125

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.26
diffusion times: 3130diffusion times: 3130
diffusion times: 3130

diffusion times: 3130
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 3135diffusion times: 3135

diffusion times: 3135
diffusion times: 3135
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 3140diffusion times: 3140diffusion times: 3140
diffusion times: 3140


x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 3145diffusion times: 3145
diffusion times: 3145

diffusion times: 3145
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 3150
diffusion times: 3150
diffusion times: 3150
diffusion times: 3150
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.26
diffusion times: 3155diffusion times: 3155

diffusion times: 3155diffusion times: 3155

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 3160
diffusion times: 3160
diffusion times: 3160
diffusion times: 3160
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.27
diffusion times: 3165
diffusion times: 3165
diffusion times: 3165diffusion times: 3165

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 3170
diffusion times: 3170
diffusion times: 3170diffusion times: 3170

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.64
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.28
diffusion times: 3175diffusion times: 3175

diffusion times: 3175
diffusion times: 3175
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 3180diffusion times: 3180

diffusion times: 3180
diffusion times: 3180
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.62
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.15
diffusion times: 3185
diffusion times: 3185
diffusion times: 3185
diffusion times: 3185
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.11
diffusion times: 3190
diffusion times: 3190diffusion times: 3190
diffusion times: 3190

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.24
diffusion times: 3195
diffusion times: 3195
diffusion times: 3195
diffusion times: 3195
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.02
diffusion times: 3200
diffusion times: 3200
diffusion times: 3200
diffusion times: 3200
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 3205diffusion times: 3205

diffusion times: 3205
diffusion times: 3205
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.23
diffusion times: 3210diffusion times: 3210
diffusion times: 3210

diffusion times: 3210
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.15
diffusion times: 3215
diffusion times: 3215
diffusion times: 3215
diffusion times: 3215
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.12
diffusion times: 3220
diffusion times: 3220
diffusion times: 3220diffusion times: 3220

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.85
diffusion times: 3225
diffusion times: 3225
diffusion times: 3225
diffusion times: 3225
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 3230diffusion times: 3230

diffusion times: 3230
diffusion times: 3230
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.31
diffusion times: 3235diffusion times: 3235diffusion times: 3235


diffusion times: 3235
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.24
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.25
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.50
diffusion times: 3240diffusion times: 3240diffusion times: 3240

diffusion times: 3240

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.34
diffusion times: 3245diffusion times: 3245

diffusion times: 3245
diffusion times: 3245
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 3250
diffusion times: 3250diffusion times: 3250

diffusion times: 3250
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.59
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 3255diffusion times: 3255diffusion times: 3255


diffusion times: 3255
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.09
diffusion times: 3260
diffusion times: 3260diffusion times: 3260

diffusion times: 3260
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.30
diffusion times: 3265diffusion times: 3265

diffusion times: 3265
diffusion times: 3265
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 3270
diffusion times: 3270
diffusion times: 3270
diffusion times: 3270
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 3275diffusion times: 3275
diffusion times: 3275

diffusion times: 3275
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 3280
diffusion times: 3280
diffusion times: 3280
diffusion times: 3280
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 3285diffusion times: 3285diffusion times: 3285


diffusion times: 3285
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.27
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.38
diffusion times: 3290diffusion times: 3290diffusion times: 3290diffusion times: 3290



x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 3295diffusion times: 3295diffusion times: 3295diffusion times: 3295



x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.15
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.25
diffusion times: 3300
diffusion times: 3300
diffusion times: 3300
diffusion times: 3300
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.68
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 3305
diffusion times: 3305
diffusion times: 3305
diffusion times: 3305
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.58
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.16
diffusion times: 3310
diffusion times: 3310diffusion times: 3310

diffusion times: 3310
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.09
diffusion times: 3315
diffusion times: 3315
diffusion times: 3315
diffusion times: 3315
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 3320
diffusion times: 3320
diffusion times: 3320diffusion times: 3320

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.68
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.69
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.25
diffusion times: 3325diffusion times: 3325
diffusion times: 3325

diffusion times: 3325
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.62
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 3330diffusion times: 3330

diffusion times: 3330
diffusion times: 3330
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.17
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 3335diffusion times: 3335diffusion times: 3335


diffusion times: 3335
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.13
diffusion times: 3340diffusion times: 3340diffusion times: 3340


diffusion times: 3340
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 3345
diffusion times: 3345
diffusion times: 3345
diffusion times: 3345
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.53
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.11
diffusion times: 3350
diffusion times: 3350
diffusion times: 3350
diffusion times: 3350
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 3355
diffusion times: 3355
diffusion times: 3355
diffusion times: 3355
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 3360
diffusion times: 3360
diffusion times: 3360
diffusion times: 3360
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.69
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.08
diffusion times: 3365
diffusion times: 3365
diffusion times: 3365
diffusion times: 3365
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.49
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.27
diffusion times: 3370diffusion times: 3370diffusion times: 3370


diffusion times: 3370
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.55
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.13
diffusion times: 3375diffusion times: 3375
diffusion times: 3375

diffusion times: 3375
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.15
diffusion times: 3380
diffusion times: 3380
diffusion times: 3380diffusion times: 3380

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 3385
diffusion times: 3385
diffusion times: 3385
diffusion times: 3385
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.24
diffusion times: 3390diffusion times: 3390diffusion times: 3390diffusion times: 3390



x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.56
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.29
diffusion times: 3395diffusion times: 3395diffusion times: 3395diffusion times: 3395



x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.61
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.16
diffusion times: 3400diffusion times: 3400diffusion times: 3400diffusion times: 3400



x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.27
diffusion times: 3405diffusion times: 3405

diffusion times: 3405
diffusion times: 3405
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.29
diffusion times: 3410
diffusion times: 3410diffusion times: 3410

diffusion times: 3410
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.15
diffusion times: 3415diffusion times: 3415diffusion times: 3415diffusion times: 3415



x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.11
diffusion times: 3420diffusion times: 3420diffusion times: 3420


diffusion times: 3420
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.28
diffusion times: 3425diffusion times: 3425

diffusion times: 3425
diffusion times: 3425
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 3430diffusion times: 3430diffusion times: 3430

diffusion times: 3430

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.08
diffusion times: 3435
diffusion times: 3435
diffusion times: 3435
diffusion times: 3435
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.62
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.08
diffusion times: 3440diffusion times: 3440diffusion times: 3440


diffusion times: 3440
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.64
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 3445diffusion times: 3445
diffusion times: 3445

diffusion times: 3445
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.41
diffusion times: 3450diffusion times: 3450

diffusion times: 3450diffusion times: 3450

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.25
diffusion times: 3455
diffusion times: 3455
diffusion times: 3455
diffusion times: 3455
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.13
diffusion times: 3460
diffusion times: 3460diffusion times: 3460

diffusion times: 3460
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.52
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.02
diffusion times: 3465
diffusion times: 3465
diffusion times: 3465diffusion times: 3465

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 3470
diffusion times: 3470
diffusion times: 3470
diffusion times: 3470
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.20
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 3475diffusion times: 3475diffusion times: 3475


diffusion times: 3475
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.59
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.03
diffusion times: 3480
diffusion times: 3480diffusion times: 3480

diffusion times: 3480
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.14
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.46
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.63
diffusion times: 3485
diffusion times: 3485diffusion times: 3485
diffusion times: 3485

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.64
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 3490diffusion times: 3490
diffusion times: 3490

diffusion times: 3490
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.61
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.11
diffusion times: 3495
diffusion times: 3495diffusion times: 3495
diffusion times: 3495

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.23
diffusion times: 3500diffusion times: 3500

diffusion times: 3500
diffusion times: 3500
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.48
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.09
diffusion times: 3505
diffusion times: 3505
diffusion times: 3505
diffusion times: 3505
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.69
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.07
diffusion times: 3510diffusion times: 3510
diffusion times: 3510

diffusion times: 3510
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.54
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.58
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 3515diffusion times: 3515

diffusion times: 3515diffusion times: 3515

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.50
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.09
diffusion times: 3520diffusion times: 3520diffusion times: 3520

diffusion times: 3520

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.54
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.27
diffusion times: 3525
diffusion times: 3525
diffusion times: 3525
diffusion times: 3525
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.26
diffusion times: 3530
diffusion times: 3530
diffusion times: 3530
diffusion times: 3530
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.09
diffusion times: 3535diffusion times: 3535

diffusion times: 3535
diffusion times: 3535
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 3540
diffusion times: 3540
diffusion times: 3540
diffusion times: 3540
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.06
diffusion times: 3545diffusion times: 3545diffusion times: 3545


diffusion times: 3545
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.09
diffusion times: 3550
diffusion times: 3550
diffusion times: 3550
diffusion times: 3550
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.63
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 3555diffusion times: 3555diffusion times: 3555


diffusion times: 3555
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.58
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.10
diffusion times: 3560
diffusion times: 3560
diffusion times: 3560
diffusion times: 3560
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.42
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.91
diffusion times: 3565diffusion times: 3565diffusion times: 3565diffusion times: 3565



x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.46
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.01
diffusion times: 3570
diffusion times: 3570
diffusion times: 3570
diffusion times: 3570
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.30
diffusion times: 3575diffusion times: 3575
diffusion times: 3575

diffusion times: 3575
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.24
diffusion times: 3580diffusion times: 3580diffusion times: 3580


diffusion times: 3580
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 3585diffusion times: 3585

diffusion times: 3585
diffusion times: 3585
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 3590diffusion times: 3590diffusion times: 3590


diffusion times: 3590
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.28
diffusion times: 3595diffusion times: 3595
diffusion times: 3595

diffusion times: 3595
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.60
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.62
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.26
diffusion times: 3600
diffusion times: 3600
diffusion times: 3600
diffusion times: 3600
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
diffusion times: 3605
diffusion times: 3605
diffusion times: 3605
diffusion times: 3605
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.43
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.64
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.04
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.05
diffusion times: 3610diffusion times: 3610diffusion times: 3610


diffusion times: 3610
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.63
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.01
diffusion times: 3615
diffusion times: 3615
diffusion times: 3615
diffusion times: 3615
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.59
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.60
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.24
diffusion times: 3620
diffusion times: 3620
diffusion times: 3620
diffusion times: 3620
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.53
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.56
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.11
diffusion times: 3625
diffusion times: 3625
diffusion times: 3625
diffusion times: 3625
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.05
diffusion times: 3630diffusion times: 3630diffusion times: 3630


diffusion times: 3630
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.68
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.12
diffusion times: 3635diffusion times: 3635
diffusion times: 3635

diffusion times: 3635
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.52
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.01
diffusion times: 3640diffusion times: 3640
diffusion times: 3640

diffusion times: 3640
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 3645diffusion times: 3645

diffusion times: 3645diffusion times: 3645

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.54
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.98
diffusion times: 3650diffusion times: 3650

diffusion times: 3650
diffusion times: 3650
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.06
diffusion times: 3655diffusion times: 3655diffusion times: 3655diffusion times: 3655



x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.62
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 3660diffusion times: 3660diffusion times: 3660


diffusion times: 3660
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.61
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.13
diffusion times: 3665diffusion times: 3665
diffusion times: 3665

diffusion times: 3665
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.12
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.37
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.51
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.61
diffusion times: 3670diffusion times: 3670

diffusion times: 3670
diffusion times: 3670
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.87
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.23
diffusion times: 3675diffusion times: 3675diffusion times: 3675diffusion times: 3675



x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.68
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.68
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.11
diffusion times: 3680diffusion times: 3680diffusion times: 3680

diffusion times: 3680

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.60
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.64
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.09
diffusion times: 3685diffusion times: 3685

diffusion times: 3685
diffusion times: 3685
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.13
diffusion times: 3690diffusion times: 3690
diffusion times: 3690

diffusion times: 3690
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.50
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.68
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.05
diffusion times: 3695
diffusion times: 3695diffusion times: 3695

diffusion times: 3695
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.12
diffusion times: 3700diffusion times: 3700diffusion times: 3700

diffusion times: 3700

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 3705diffusion times: 3705diffusion times: 3705
diffusion times: 3705


x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.23
diffusion times: 3710diffusion times: 3710
diffusion times: 3710
diffusion times: 3710

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.18
diffusion times: 3715diffusion times: 3715diffusion times: 3715diffusion times: 3715



x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 3720
diffusion times: 3720diffusion times: 3720

diffusion times: 3720
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.48
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.12
diffusion times: 3725
diffusion times: 3725
diffusion times: 3725
diffusion times: 3725
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.59
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.16
diffusion times: 3730diffusion times: 3730
diffusion times: 3730

diffusion times: 3730
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.08
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.11
diffusion times: 3735
diffusion times: 3735
diffusion times: 3735
diffusion times: 3735
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.32
diffusion times: 3740
diffusion times: 3740
diffusion times: 3740diffusion times: 3740

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.52
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.09
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 3745diffusion times: 3745

diffusion times: 3745
diffusion times: 3745
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.64
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.15
diffusion times: 3750diffusion times: 3750diffusion times: 3750


diffusion times: 3750
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.12
diffusion times: 3755diffusion times: 3755diffusion times: 3755


diffusion times: 3755
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.45
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 3760
diffusion times: 3760
diffusion times: 3760
diffusion times: 3760
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.15
diffusion times: 3765diffusion times: 3765
diffusion times: 3765

diffusion times: 3765
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.73
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 3770
diffusion times: 3770
diffusion times: 3770
diffusion times: 3770
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.07
diffusion times: 3775diffusion times: 3775

diffusion times: 3775
diffusion times: 3775
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.55
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.10
diffusion times: 3780
diffusion times: 3780
diffusion times: 3780
diffusion times: 3780
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.13
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.23
diffusion times: 3785diffusion times: 3785
diffusion times: 3785
diffusion times: 3785

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.96
diffusion times: 3790diffusion times: 3790

diffusion times: 3790
diffusion times: 3790
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.52
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.97
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.16
diffusion times: 3795
diffusion times: 3795
diffusion times: 3795
diffusion times: 3795
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.69
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.02
diffusion times: 3800
diffusion times: 3800
diffusion times: 3800
diffusion times: 3800
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.56
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.68
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.06
diffusion times: 3805
diffusion times: 3805
diffusion times: 3805
diffusion times: 3805
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 3810diffusion times: 3810diffusion times: 3810diffusion times: 3810



x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.13
diffusion times: 3815diffusion times: 3815

diffusion times: 3815diffusion times: 3815

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.48
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.62
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.17
diffusion times: 3820
diffusion times: 3820
diffusion times: 3820
diffusion times: 3820
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.12
diffusion times: 3825
diffusion times: 3825
diffusion times: 3825diffusion times: 3825

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.02
diffusion times: 3830diffusion times: 3830

diffusion times: 3830diffusion times: 3830

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.45
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.60
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 3835diffusion times: 3835diffusion times: 3835


diffusion times: 3835
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.56
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.07
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.13
diffusion times: 3840diffusion times: 3840
diffusion times: 3840

diffusion times: 3840
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.59
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.03
diffusion times: 3845
diffusion times: 3845
diffusion times: 3845
diffusion times: 3845
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.41
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.61
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.01
diffusion times: 3850diffusion times: 3850diffusion times: 3850

diffusion times: 3850

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.85
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.13
diffusion times: 3855diffusion times: 3855

diffusion times: 3855
diffusion times: 3855
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.61
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.13
diffusion times: 3860diffusion times: 3860

diffusion times: 3860
diffusion times: 3860
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.50
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.07
diffusion times: 3865diffusion times: 3865diffusion times: 3865


diffusion times: 3865
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 3870diffusion times: 3870diffusion times: 3870
diffusion times: 3870


x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.02
diffusion times: 3875diffusion times: 3875
diffusion times: 3875

diffusion times: 3875
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.98
diffusion times: 3880diffusion times: 3880diffusion times: 3880


diffusion times: 3880
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 3885diffusion times: 3885diffusion times: 3885


diffusion times: 3885
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.10
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.12
diffusion times: 3890
diffusion times: 3890
diffusion times: 3890
diffusion times: 3890
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.58
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.10
diffusion times: 3895diffusion times: 3895diffusion times: 3895
diffusion times: 3895


x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.96
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.25
diffusion times: 3900
diffusion times: 3900
diffusion times: 3900
diffusion times: 3900
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.69
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.93
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.02
diffusion times: 3905
diffusion times: 3905
diffusion times: 3905
diffusion times: 3905
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.56
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.88
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 3910diffusion times: 3910
diffusion times: 3910

diffusion times: 3910
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.60
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.63
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.01
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 3915diffusion times: 3915diffusion times: 3915diffusion times: 3915



x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.12
diffusion times: 3920diffusion times: 3920

diffusion times: 3920diffusion times: 3920

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.56
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.74
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.07
diffusion times: 3925
diffusion times: 3925
diffusion times: 3925
diffusion times: 3925
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.77
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 3930diffusion times: 3930
diffusion times: 3930

diffusion times: 3930
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.68
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.03
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 3935diffusion times: 3935diffusion times: 3935diffusion times: 3935



x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.69
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.13
diffusion times: 3940diffusion times: 3940diffusion times: 3940diffusion times: 3940



x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.38
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.60
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.06
diffusion times: 3945diffusion times: 3945
diffusion times: 3945

diffusion times: 3945
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.57
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.69
x shape (before diffusion models): torch.Size([11, 3, 32, 32])x shape (before diffusion models): torch.Size([12, 3, 32, 32])

x shape (before classifier): torch.Size([11, 3, 32, 32])x shape (before classifier): torch.Size([12, 3, 32, 32])

Sampling time per batch: 00:13.11Sampling time per batch: 00:13.11

diffusion times: 3950diffusion times: 3950diffusion times: 3950

diffusion times: 3950

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.59
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.82
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.10
diffusion times: 3955
diffusion times: 3955
diffusion times: 3955
diffusion times: 3955
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.66
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.90
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.19
diffusion times: 3960diffusion times: 3960
diffusion times: 3960
diffusion times: 3960

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.02
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.14
diffusion times: 3965diffusion times: 3965diffusion times: 3965


diffusion times: 3965
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.69
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.99
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.99
diffusion times: 3970diffusion times: 3970

diffusion times: 3970
diffusion times: 3970
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.59
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.70
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.79
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.05
diffusion times: 3975diffusion times: 3975diffusion times: 3975


diffusion times: 3975
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.08
diffusion times: 3980diffusion times: 3980diffusion times: 3980


diffusion times: 3980
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.53
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.75
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.81
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 3985diffusion times: 3985diffusion times: 3985

diffusion times: 3985

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.71
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.00
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.15
diffusion times: 3990
diffusion times: 3990diffusion times: 3990

diffusion times: 3990
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.95
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.11
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.36
diffusion times: 3995diffusion times: 3995diffusion times: 3995


diffusion times: 3995
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.83
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.10
diffusion times: 4000
diffusion times: 4000
diffusion times: 4000diffusion times: 4000

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.45
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.59
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.16
diffusion times: 4005diffusion times: 4005diffusion times: 4005diffusion times: 4005



x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.55
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.62
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.97
diffusion times: 4010diffusion times: 4010diffusion times: 4010


diffusion times: 4010
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.56
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.61
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.11
diffusion times: 4015diffusion times: 4015diffusion times: 4015


diffusion times: 4015
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.67
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.68
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.05
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.20
diffusion times: 4020diffusion times: 4020diffusion times: 4020


diffusion times: 4020
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 4025
diffusion times: 4025
diffusion times: 4025diffusion times: 4025

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.78
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.91
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.92
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.22
diffusion times: 4030
diffusion times: 4030diffusion times: 4030
diffusion times: 4030

x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.65
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.80
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.89
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.08
diffusion times: 4035diffusion times: 4035
diffusion times: 4035

diffusion times: 4035
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.76
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.86
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:13.07
diffusion times: 4040
diffusion times: 4040
diffusion times: 4040
diffusion times: 4040
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.63
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.84
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.06
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.21
diffusion times: 4045diffusion times: 4045diffusion times: 4045

diffusion times: 4045

x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.72
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:12.94
x shape (before diffusion models): torch.Size([11, 3, 32, 32])
x shape (before classifier): torch.Size([11, 3, 32, 32])
Sampling time per batch: 00:12.98
x shape (before diffusion models): torch.Size([12, 3, 32, 32])
x shape (before classifier): torch.Size([12, 3, 32, 32])
Sampling time per batch: 00:13.26
apgd-dlr - 1/1 - 5 out of 48 successfully perturbed
robust accuracy after APGD-DLR: 67.19% (total time 118754.8 s)
max Linf perturbation: 0.03137, nan in tensor: 0, max: 1.00000, min: 0.00000
robust accuracy: 67.19%
x_adv_sde shape: torch.Size([64, 3, 32, 32])
Job ID           : 56811695
Cluster          : spartan
User/Project     : yuhaos1/punim2205
Nodes            : 1
Wall-clock time  : 1-09:00:59 / 2-00:00:00

Displaying overall resources usage from 2024-03-10 01:18:21 to 2024-03-11 10:19:20:

NODE            CPU#        TOT%   ( USR   / SYS   / WIO   / IDLE  ) 

spartan-gpgpu135 : 
                CPU# 1    : 70.4   (  61.3 /   9.1 /   0.0 /  29.6 ) 
                CPU# 2    : 70.2   (  61.1 /   9.1 /   0.0 /  29.8 ) 
                CPU# 3    : 69.6   (  60.3 /   9.3 /   0.0 /  30.4 ) 
                CPU# 4    : 69.4   (  60.2 /   9.3 /   0.0 /  30.6 ) 

                GPU# 1    : 29.5  
                GPU# 2    : 29.7  
                GPU# 3    : 30.0  
                GPU# 4    : 28.8  


Allocated CPUs            : 4    
  CPUs with usage <25%    : 0    
  CPUs with usage <50%    : 0    
  CPUs with usage >50%    : 4    


Allocated GPUs            : 4    
  GPUs with usage <25%    : 0    
  GPUs with usage <50%    : 4    
  GPUs with usage >50%    : 0    

Memory used (RAM)         : 2.2%  [5915MB of 274878MB]

--------------------------------------------