alsrgv

import graphviz
import numpy as np
import keras


def gather_layer_stats(layer_dict, layer, r, s):
    lr, ls = None, None
    if hasattr(layer, 'kernel_size'):
        assert layer.kernel_size[0] == layer.kernel_size[1]
        assert layer.strides[0] == layer.strides[1]

alsrgv

#  Copyright 2017 Uber Technologies, Inc. All Rights Reserved.
#  Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
#  Licensed under the Apache License, Version 2.0 (the "License");
#  you may not use this file except in compliance with the License.
#  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
#  Unless required by applicable law or agreed to in writing, software

alsrgv

// Code from http://docs.nvidia.com/deeplearning/sdk/nccl-developer-guide/index.html#onedevprothrd

#define _BSD_SOURCE

#include <stdio.h>
#include "cuda_runtime.h"
#include "nccl.h"
#include "mpi.h"
#include <stdint.h>
#include <stdlib.h>

alsrgv

from __future__ import print_function
import keras
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten
from keras.layers import Conv2D, MaxPooling2D
from keras import backend as K
import tensorflow as tf
import horovod.tensorflow as hvd