Alex Sergeev alsrgv

## Tangent DL.ipynb

      
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                alsrgv
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              October 19, 2019 20:35
            
              
                Tangent DL
              
          
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## pytorch_synthetic_benchmark_apex.py
from __future__ import print_function

import argparse
import torch.backends.cudnn as cudnn
import torch.nn.functional as F
import torch.optim as optim
import torch.utils.data.distributed
from torchvision import models
import horovod.torch as hvd
import timeit

## 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

## numba_test.py
import numba
import numba.cuda
import numpy as np


@numba.jitclass([
    ("x", numba.types.int32)
])
class XYZ:
    def __init__(self, x):
	from __future__ import print_function

	import argparse
	import torch.backends.cudnn as cudnn
	import torch.nn.functional as F
	import torch.optim as optim
	import torch.utils.data.distributed
	from torchvision import models
	import horovod.torch as hvd
	import timeit
	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
	import numba
	import numba.cuda
	import numpy as np


	@numba.jitclass([
	("x", numba.types.int32)
	])
	class XYZ:
	def __init__(self, x):