



# coding=utf-8
# Copyright 2023 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 platform
import sys


_lowerCamelCase    :		Tuple		      =    """3"""

print("""Python version:""", sys.version)

print("""OS platform:""", platform.platform())
print("""OS architecture:""", platform.machine())

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())
except ImportError:
			print("""Torch version:""", None)

try:
			import transformers

			print("""transformers version:""", transformers.__version__)
except ImportError:
			print("""transformers version:""", None)




from __future__ import annotations

import numpy as np

def        __a			(   __lowerCAmelCase   )     ->     Optional[Any]:
					return np.maximum(0      ,	__lowerCAmelCase   )


if __name__ == "__main__":
			print(np.array(relu([-1, 0, 5])))  # --> [0, 0, 5]