'Extracting', '/tmp/data/train-images-idx3-ubyte.gz')
Traceback (most recent call last):
File "test.py", line 3, in <module>
mnist = input_data.read_data_sets("/tmp/data/", one_hot=True)
File "/Users/Sylar/Desktop/Copietex/input_data.py", line 150, in read_data_sets
train_images = extract_images(local_file)
File "/Users/Sylar/Desktop/Copietex/input_data.py", line 40, in extract_images
buf = bytestream.read(rows * cols * num_images)
File "/usr/local/Cellar/python/2.7.13/Frameworks/Python.framework/Versions/2.7/lib/python2.7/gzip.py", line 275, in read
chunk = self.extrabuf[offset: offset + size]
TypeError: only integer scalar arrays can be converted to a scalar index
I am also facing similar issue with tensor flow version 1.8.0. Could some one tell the correct version to use?
Traceback (most recent call last):
File "board.py", line 2, in
mnist = input_data.read_data_sets("/Kasi/machine_learning/ml_read/", one_hot=True)
File "/Kasi/machine_learning/input_data.py", line 156, in read_data_sets
train_images = extract_images(local_file)
File "/Kasi/machine_learning/input_data.py", line 43, in extract_images
buf = bytestream.read(rows cols num_images)
File "/usr/lib/python2.7/gzip.py", line 268, in read
chunk = self.extrabuf[offset: offset + size]
TypeError: only integer scalar arrays can be converted to a scalar index
Hi,
I've this error, any idea ?