Code in README.md doesn't work in other multi_dsprites_dataset #4
Description
Code in 'README.md' works well in 'multi_dsprites_colored_on_colored.tfrecords'.
However, it doesn't work well in 'multi_dsprites_binarized.tfrecords' and 'multi_dsprites_colored_on_grayscale.tfrecords'.
In the code
from multi_object_datasets import multi_dsprites import tensorflow as tf tf_records_path = 'path/to/multi_dsprites_binarized.tfrecords' batch_size = 32 dataset = multi_dsprites.dataset(tf_records_path, 'binarized') batched_dataset = dataset.batch(batch_size) # optional batching iterator = batched_dataset.make_one_shot_iterator() data = iterator.get_next() with tf.train.SingularMonitoredSession() as sess: d = sess.run(data), 'd=sess.run(data)' generates error,
tensorflow.python.framework.errors_impl.DataLossError: inflate() failed with error -3: incorrect header check [[node IteratorGetNext ]] The version of tensorflow is 1.14 as in README.md.
Thank you!!
Same error occurs in CLEVR code.