from ...configuration_utils import PretrainedConfig
from ...utils import logging


__lowerCamelCase    :				Optional[Any]							     =	logging.get_logger(__name__)

__lowerCamelCase    :				Dict							     =	{
    "MIT/ast-finetuned-audioset-10-10-0.4593": (
        "https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593/resolve/main/config.json"
    ),
}







class __snake_case       (		lowercase__	):
     lowerCAmelCase_														=							"audio-spectrogram-transformer"




     def __init__(					self    :       str ,			_lowercase    :       Dict=7_68 ,			_lowercase    :       List[str]=12 ,			_lowercase    :       List[str]=12 ,			_lowercase    :       Optional[int]=30_72 ,			_lowercase    :       Dict="gelu" ,			_lowercase    :       str=0.0 ,			_lowercase    :       int=0.0 ,			_lowercase    :       int=0.02 ,			_lowercase    :       Optional[int]=1E-12 ,			_lowercase    :       Optional[int]=16 ,			_lowercase    :       Tuple=True ,			_lowercase    :       List[str]=10 ,			_lowercase    :       int=10 ,			_lowercase    :       int=10_24 ,			_lowercase    :       Optional[Any]=1_28 ,			**_lowercase    :       List[str] ,			):



       """simple docstring"""






       super().__init__(**_lowercase   )

       SCREAMING_SNAKE_CASE__    							=   hidden_size
       SCREAMING_SNAKE_CASE__    							=   num_hidden_layers
       SCREAMING_SNAKE_CASE__    							=   num_attention_heads
       SCREAMING_SNAKE_CASE__    							=   intermediate_size
       SCREAMING_SNAKE_CASE__    							=   hidden_act
       SCREAMING_SNAKE_CASE__    							=   hidden_dropout_prob
       SCREAMING_SNAKE_CASE__    							=   attention_probs_dropout_prob
       SCREAMING_SNAKE_CASE__    							=   initializer_range
       SCREAMING_SNAKE_CASE__    							=   layer_norm_eps
       SCREAMING_SNAKE_CASE__    							=   patch_size
       SCREAMING_SNAKE_CASE__    							=   qkv_bias
       SCREAMING_SNAKE_CASE__    							=   frequency_stride
       SCREAMING_SNAKE_CASE__    							=   time_stride
       SCREAMING_SNAKE_CASE__    							=   max_length
       SCREAMING_SNAKE_CASE__    							=   num_mel_bins

# 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


__lowerCamelCase    :				Tuple							     =	'''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)
