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$