Error in the code

[kobepejanash]

here is the problem, when I run the demos, each returns
Traceback (most recent call last):
File "./src/compressed_sensing.py", line 177, in
main(HPARAMS)
File "./src/compressed_sensing.py", line 19, in main
xs_dict = model_input(hparams)
File "/home/feiht/csgm/src/mnist_input.py", line 56, in model_input
mnist = input_data.read_data_sets('./data/mnist', one_hot=True)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation.py", line 306, in new_func
return func(*args, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py", line 262, in read_data_sets
train_images = extract_images(f)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation.py", line 306, in new_func
return func(*args, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py", line 62, in extract_images
magic = _read32(bytestream)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py", line 43, in _read32
return numpy.frombuffer(bytestream.read(4), dtype=dt)[0]
IndexError: index 0 is out of bounds for axis 0 with size 0

why is it, thank you!

[AshishBora]

Did you download the dataset?

[Gamkiu]

Dear author , when I run the instruction./quick_scripts/mnist_reconstr.sh,I was also got the error like this ,how to solve it? Thank you very much!!

(/home/gamkiu/anaconda3/envs/test) gamkiu@ubuntu:~/csgm$ ./quick_scripts/mnist_reconstr.sh

batch_size = 10
checkpoint_iter = 1
dataset = mnist
decay_lr = False
dloss1_weight = 0.0
dloss2_weight = 0.0
gif = False
gif_dir =
gif_iter = 1
image_matrix = 1
image_shape = (28, 28, 1)
inpaint_size = 1
input_path_pattern = ./data/celebAtest/*.jpg
input_type = full-input
lasso_solver = sklearn
learning_rate = 0.01
lmbd = 0.1
max_update_iter = 1000
measurement_type = gaussian
mloss1_weight = 0.0
mloss2_weight = 1.0
model_types = ['lasso', 'vae']
momentum = 0.9
n_input = 784
noise_std = 0.1
not_lazy = True
num_input_images = 10
num_measurements = 100
num_random_restarts = 10
optimizer_type = adam
pretrained_model_dir = ./mnist_vae/models/mnist-vae/
print_stats = True
save_images = False
save_stats = False
sparsity = 1
superres_factor = 2
zprior_weight = 0.1

Extracting ./data/mnist/train-images-idx3-ubyte.gz
Traceback (most recent call last):
File "./src/compressed_sensing.py", line 177, in
main(HPARAMS)
File "./src/compressed_sensing.py", line 19, in main
xs_dict = model_input(hparams)
File "/home/gamkiu/csgm/src/mnist_input.py", line 56, in model_input
mnist = input_data.read_data_sets('./data/mnist', one_hot=True)
File "/home/gamkiu/anaconda3/envs/test/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py", line 213, in read_data_sets
train_images = extract_images(f)
File "/home/gamkiu/anaconda3/envs/test/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py", line 53, in extract_images
magic = _read32(bytestream)
File "/home/gamkiu/anaconda3/envs/test/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py", line 35, in _read32
return numpy.frombuffer(bytestream.read(4), dtype=dt)[0]
IndexError: index 0 is out of bounds for axis 0 with size 0
(/home/gamkiu/anaconda3/envs/test) gamkiu@ubuntu:~/csgm$