import input_data MNIST tensorflow not working

Question

TensorFlow MNIST example not running with fully_connected_feed.py

I checked this out and realized that input_data was not built-in. So I downloaded the

Answer 1

I am using different version - following Install on Windows with Docker here - and had similar problem.

An easy workaround I've found was:

1.Into the Linux command line, figure out where is the input_data.py on my Docker image (in your case you mentionned that you had to download it manually. In my case, it was already here). I used the follwing linux command:

$ sudo find . -print | grep -i '.*[.]py'

I've got the files & path

./tensorflow/g3doc/tutorials/mnist/mnist.py
./tensorflow/g3doc/tutorials/mnist/input_data.py

2.launch Python and type the following command using SYS:

>> import sys
>> print(sys.path)

you will get the existing paths.

['', '/usr/lib/python2.7', '/usr/lib/python2.7/plat-x86_64-linux-gnu', '/usr/lib/python2.7/lib-tk', '/usr/lib/python2.7/lib-old', '/usr/lib/python2.7/lib-dynload', '/usr/local/lib/python2.7/dist-packages', '/usr/lib/python2.7/dist-packages', '/usr/lib/python2.7/dist-packages/PILcompat']

4.add the path of inputa_data.py:

>> sys.path.insert(1,'/tensorflow/tensorflow/g3doc/tutorials/mnist')

Hope that it can help. If you found better option, let me know. :)

Answer 2

MNIST input_data was built-in, it's just not a individual module, it's inside Tensorflow module, try

from tensorflow.examples.tutorials.mnist import input_data

Answer 3

MNIST data set included as a part of tensorflow examples tutorial, If we want to use this :

Import MNIST data to identify handwritten digites

from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("MNIST data", one_hot=True)

Answer 4

The following steps work perfectly in my Notebook:

step 1 : get Python files from github : !git clone https://github.com/tensorflow/tensorflow.git

step 2 : append these files in my Python path :

import sys

sys.path.append('/content/tensorflow/tensorflow/examples/tutorials/mnist')

step 3 : load the MNIST data with 'input_data' fonction

import input_data

mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)

That's all !

Answer 5

cd your_mnist_dir &&\
wget https://github.com/HIPS/hypergrad/raw/master/data/mnist/mnist_data.pkl &&\
wget https://github.com/HIPS/hypergrad/raw/master/data/mnist/t10k-images-idx3-ubyte.gz &&\
wget https://github.com/HIPS/hypergrad/raw/master/data/mnist/t10k-labels-idx1-ubyte.gz &&\
wget https://github.com/HIPS/hypergrad/raw/master/data/mnist/train-images-idx3-ubyte.gz &&\
wget https://github.com/HIPS/hypergrad/raw/master/data/mnist/train-labels-idx1-ubyte.gz

Answer 6

The old tutorial said, to import the MNIST data, use:

import input_data
mnist = input_data.read_data_sets('MNIST_data', one_hot=True)

This will cause the error. The new tutorial uses the following code to do so:

from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("MNIST_data", one_hot=True)

And this works well.