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error while generating images #12
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I'm getting this as well- what version of tensorflow do you have? |
This is a tensorflow version issue. IIRC the model is trained on tensorflow v 1.10 |
@paarthneekhara Hi, do u mean tensorflow version 1.10 or 0.11.0rc0?(Cause the requirements.txt says only need tensorflow 0.11.0rc0) |
I just ran the code and it runs fine on version 0.11.0rc2. |
@paarthneekhara I have changed to tf 0.11.0 and it works now. Thx all the same : ) |
@paarthneekhara TF 0.11.0 version seems to work. Thanks :) |
Could not find a version that satisfies the requirement tensorflow-gpu==0.11.0rc2 (from versions: 0.12.0rc0, 0.12.0rc1, 0.12.0, 0.12.1, 1.0.0, 1.0.1, 1.1.0rc0, 1.1.0rc1, 1.1.0rc2, 1.1.0, 1.2.0rc0, 1.2.0rc1, 1.2.0rc2, 1.2.0, 1.2.1, 1.3.0rc0, 1.3.0rc1, 1.3.0rc2, 1.3.0, 1.4.0rc0, 1.4.0rc1, 1.4.0, 1.4.1, 1.5.0rc0, 1.5.0rc1, 1.5.0) |
python generate_images.py --model_path=Data/Models/latest_model_flowers_temp.ckpt --n_images=7
Traceback (most recent call last):
File "generate_images.py", line 106, in
main()
File "generate_images.py", line 64, in main
_, _, _, _, _ = gan.build_model()
File "/home/tushar/codes/python_codes/text-to-image/model.py", line 40, in build_model
disc_wrong_image, disc_wrong_image_logits = self.discriminator(t_wrong_image, t_real_caption, reuse = True)
File "/home/tushar/codes/python_codes/text-to-image/model.py", line 161, in discriminator
h1 = ops.lrelu( self.d_bn1(ops.conv2d(h0, self.options['df_dim']*2, name = 'd_h1_conv'))) #16
File "/home/tushar/codes/python_codes/text-to-image/Utils/ops.py", line 34, in call
ema_apply_op = self.ema.apply([batch_mean, batch_var])
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/moving_averages.py", line 391, in apply
self._averages[var], var, decay, zero_debias=zero_debias))
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/moving_averages.py", line 70, in assign_moving_average
update_delta = _zero_debias(variable, value, decay)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/moving_averages.py", line 177, in _zero_debias
trainable=False)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variable_scope.py", line 1024, in get_variable
custom_getter=custom_getter)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variable_scope.py", line 850, in get_variable
custom_getter=custom_getter)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variable_scope.py", line 346, in get_variable
validate_shape=validate_shape)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variable_scope.py", line 331, in _true_getter
caching_device=caching_device, validate_shape=validate_shape)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variable_scope.py", line 650, in _get_single_variable
"VarScope?" % name)
ValueError: Variable d_bn1/d_bn1_2/d_bn1_2/moments/moments_1/mean/ExponentialMovingAverage/biased does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=None in VarScope?
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