
# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# 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
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# this script dumps information about the environment

import os
import sys

import transformers


A     :	int    = '3'

print('Python version:', sys.version)
print('transformers version:', transformers.__version__)

try:
					import torch

					print('Torch version:', torch.__version__)
					print('Cuda available:', torch.cuda.is_available())
					print('Cuda version:', torch.version.cuda)
					print('CuDNN version:', torch.backends.cudnn.version())
					print('Number of GPUs available:', torch.cuda.device_count())
					print('NCCL version:', torch.cuda.nccl.version())
except ImportError:
					print('Torch version:', None)

try:
					import deepspeed

					print('DeepSpeed version:', deepspeed.__version__)
except ImportError:
					print('DeepSpeed version:', None)

try:
					import tensorflow as tf

					print('TensorFlow version:', tf.__version__)
					print('TF GPUs available:', bool(tf.config.list_physical_devices('GPU')))
					print('Number of TF GPUs available:', len(tf.config.list_physical_devices('GPU')))
except ImportError:
					print('TensorFlow version:', None)





from functools import lru_cache





@lru_cache
def __UpperCamelCase			(       _A  ):
						if num < 0:
												raise ValueError('''Number should not be negative.'''  )

						return 1 if num in (0, 1) else num * factorial(num - 1  )


if __name__ == "__main__":
						import doctest

						doctest.testmod()




