
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# 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.

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase__							:							List[Any]									=			{
    "configuration_xmod": [
        "XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "XmodConfig",
        "XmodOnnxConfig",
    ],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowercase__							:							List[str]									=			[
			    "XMOD_PRETRAINED_MODEL_ARCHIVE_LIST",
			    "XmodForCausalLM",
			    "XmodForMaskedLM",
			    "XmodForMultipleChoice",
			    "XmodForQuestionAnswering",
			    "XmodForSequenceClassification",
			    "XmodForTokenClassification",
			    "XmodModel",
			    "XmodPreTrainedModel",
			]

if TYPE_CHECKING:
			from .configuration_xmod import XMOD_PRETRAINED_CONFIG_ARCHIVE_MAP, XmodConfig, XmodOnnxConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_xmod import (
						    XMOD_PRETRAINED_MODEL_ARCHIVE_LIST,
						    XmodForCausalLM,
						    XmodForMaskedLM,
						    XmodForMultipleChoice,
						    XmodForQuestionAnswering,
						    XmodForSequenceClassification,
						    XmodForTokenClassification,
						    XmodModel,
						    XmodPreTrainedModel,
						)

else:
			import sys

			lowercase__							:							str									=			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






# 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


lowercase__							:							List[str]									=			"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)




