Yes, here is the link. Uses custom generator based on
keras.utils.Sequence
and some add-ons to fetch the cores.
  

      gist.github.com
  

  
    https://gist.github.com/bzamecnik/dcc1d1a39f3e4fa7ac5733d80b79fa2d#file-keras_mnist_sequence-py

  keras_mnist_sequence.py
  """
Title: Simple MNIST convnet
Author: [fchollet](https://twitter.com/fchollet)
Date created: 2015/06/19
Last modified: 2020/04/21
Description: A simple convnet that achieves ~99% test accuracy on MNIST.


Modified:
- data wrapped as a Sequence
    This file has been truncated. show original
  keras_sequence_fork.log
  new process 28285
x_train shape: (60000, 28, 28, 1)
60000 train samples
10000 test samples
main process 28285
TRAIN MnistSequence.__init__(), PID: 28285 len: 58
VAL MnistSequence.__init__(), PID: 28285 len: 9
Model: "sequential"
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
    This file has been truncated. show original
  keras_sequence_spawn.log
  new process 27656
x_train shape: (60000, 28, 28, 1)
60000 train samples
10000 test samples
main process 27656
TRAIN MnistSequence.__init__(), PID: 27656 len: 58
VAL MnistSequence.__init__(), PID: 27656 len: 9
Model: "sequential"
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
    This file has been truncated. show original


    There are more than three files. show original


  

  
    
    
  

  


Is there way to implement in native TensorFlow alone (no Keras)?