

'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCamelCase_							=					{
    """configuration_whisper""": ["""WHISPER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """WhisperConfig""", """WhisperOnnxConfig"""],
    """feature_extraction_whisper""": ["""WhisperFeatureExtractor"""],
    """processing_whisper""": ["""WhisperProcessor"""],
    """tokenization_whisper""": ["""WhisperTokenizer"""],
}

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_							=					["""WhisperTokenizerFast"""]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_							=					[
							    """WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """WhisperForConditionalGeneration""",
							    """WhisperModel""",
							    """WhisperPreTrainedModel""",
							    """WhisperForAudioClassification""",
							]

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_							=					[
							    """TF_WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """TFWhisperForConditionalGeneration""",
							    """TFWhisperModel""",
							    """TFWhisperPreTrainedModel""",
							]

try:
							if not is_flax_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_							=					[
							    """FlaxWhisperForConditionalGeneration""",
							    """FlaxWhisperModel""",
							    """FlaxWhisperPreTrainedModel""",
							    """FlaxWhisperForAudioClassification""",
							]


if TYPE_CHECKING:
							from .configuration_whisper import WHISPER_PRETRAINED_CONFIG_ARCHIVE_MAP, WhisperConfig, WhisperOnnxConfig
							from .feature_extraction_whisper import WhisperFeatureExtractor
							from .processing_whisper import WhisperProcessor
							from .tokenization_whisper import WhisperTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_whisper_fast import WhisperTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_whisper import (
														    WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST,
														    WhisperForAudioClassification,
														    WhisperForConditionalGeneration,
														    WhisperModel,
														    WhisperPreTrainedModel,
														)

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_whisper import (
														    TF_WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST,
														    TFWhisperForConditionalGeneration,
														    TFWhisperModel,
														    TFWhisperPreTrainedModel,
														)

							try:
														if not is_flax_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_flax_whisper import (
														    FlaxWhisperForAudioClassification,
														    FlaxWhisperForConditionalGeneration,
														    FlaxWhisperModel,
														    FlaxWhisperPreTrainedModel,
														)

else:
							import sys

							UpperCamelCase_							=					_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)








'''simple docstring'''





# 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


UpperCamelCase_							=					"""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)





