Alex Sergeev alsrgv

## Tangent DL.ipynb

      
              1 file
            
          
              1 fork
            
          
              0 comments
            
          
              0 stars
            
          
                alsrgv
                / Tangent DL.ipynb
            
            
              Last active
              October 19, 2019 20:35
            
              
                Tangent DL
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## mask_rcnn_benchmark.py
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

## test_nccl.c
// 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>

## keras_mnist_cnn.py
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
	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
	// 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>
	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