TypeError: only integer scalar arrays can be converted to a scalar index

Question

I am trying a simple demo code of tensorflow from github link.
I\'m currently using python version 3.5.2

Z:\\downloads\\tensorflow_demo-master\\         


        

Answer 1

This file is likely corrupt:

Z:/downloads/MNIST dataset\train-images-idx3-ubyte.gz

Let's analyze the error you posted.

This, indicates that code is currently working with the file in question:

Extracting  Z:/downloads/MNIST dataset\train-images-idx3-ubyte.gz

Traceback indicates that a stack trace follows:

Traceback (most recent call last):

This, indicates that you read your data sets from 'Z:/downloads/MNIST dataset':

File "board.py", line 3, in 
    mnist = input_data.read_data_sets(r'Z:/downloads/MNIST dataset', one_hot=True)

This, indicates that the code is extracting images:

File "Z:\downloads\tensorflow_demo-master\tensorflow_demo-master\input_data.py", line 150, in read_data_sets
    train_images = extract_images(local_file)

This, indicates that the code is expected to read rows * cols * num_images bytes:

File "Z:\downloads\tensorflow_demo-master\tensorflow_demo-master\input_data.py", line 40, in extract_images
    buf = bytestream.read(rows * cols * num_images)

This is the line that errors:

File "C:\Users\surak\AppData\Local\Programs\Python\Python35\lib\gzip.py", line 274, in read
    return self._buffer.read(size)
TypeError: only integer scalar arrays can be converted to a scalar index

I expect size is the problematic value and was calculated on the previous line of the stacktrace.

I can see at least two ways to proceed.

1. Delete the offending file and see if the problem goes away. This would allow you to verify that the file is somehow corrupt.

2. Use a debugger to step into the code and then inspect the values used to calculate the offending variable. Use the knowledge gained to proceed from there.