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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
View test_nccl.c
// Code from
#define _BSD_SOURCE
#include <stdio.h>
#include "cuda_runtime.h"
#include "nccl.h"
#include "mpi.h"
#include <stdint.h>
#include <stdlib.h>
alsrgv / tmds.cpp
Last active Dec 3, 2018
View tmds.cpp
#include <assert.h>
#include "tmds.h"
#include "utils.h"
template<int X>
ap_uint<log2up(X)> count_ones(ap_uint<X> data) {
ap_uint<X> result = data[0];
for (int i = 1; i < 8; i++) {
#pragma HLS UNROLL
import requests
from io import BytesIO
from PIL import Image
import numpy as np
import timeit
import torch
from maskrcnn_benchmark.config import cfg
from predictor import COCODemo, to_image_list
View Tangent DL.ipynb
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alsrgv /
Created Jul 27, 2018
1-late SGD for PyTorch ImageNet example with Horovod
from __future__ import print_function
import argparse
import torch.backends.cudnn as cudnn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms, models
import horovod.torch as hvd
import tensorboardX
alsrgv /
Created Jan 30, 2020
Numba CUDA jitclass question
import numba
import numba.cuda
import numpy as np
("x", numba.types.int32)
class XYZ:
def __init__(self, x):
alsrgv /
Last active Apr 1, 2020
Receptive fields for Keras
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 /
Last active Jul 14, 2020
Horovod with Estimator API
# 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
# Unless required by applicable law or agreed to in writing, software
alsrgv /
Last active Jul 25, 2020
Hyperas + Horovod Example
from __future__ import print_function
from hyperopt import Trials, STATUS_OK, tpe
from hyperas import optim
from hyperas.distributions import choice, uniform, conditional
import keras
import tensorflow as tf
import horovod.keras as hvd
import keras.backend as K
import math