
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__magic_name__  							=	{
    '''configuration_clap''': [
        '''CLAP_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''ClapAudioConfig''',
        '''ClapConfig''',
        '''ClapTextConfig''',
    ],
    '''processing_clap''': ['''ClapProcessor'''],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __magic_name__  							=	[
         '''CLAP_PRETRAINED_MODEL_ARCHIVE_LIST''',
         '''ClapModel''',
         '''ClapPreTrainedModel''',
         '''ClapTextModel''',
         '''ClapTextModelWithProjection''',
         '''ClapAudioModel''',
         '''ClapAudioModelWithProjection''',
     ]
     __magic_name__  							=	['''ClapFeatureExtractor''']

if TYPE_CHECKING:
     from .configuration_clap import (
         CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
         ClapAudioConfig,
         ClapConfig,
         ClapTextConfig,
     )
     from .processing_clap import ClapProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .feature_extraction_clap import ClapFeatureExtractor
          from .modeling_clap import (
              CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
              ClapAudioModel,
              ClapAudioModelWithProjection,
              ClapModel,
              ClapPreTrainedModel,
              ClapTextModel,
              ClapTextModelWithProjection,
          )


else:
     import sys

     __magic_name__  							=	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





# 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


__magic_name__  							=	'''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)



