# 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,
)
_import_structure = {
"configuration_clvp": [
"CLVP_PRETRAINED_CONFIG_ARCHIVE_MAP",
"ClvpConfig",
"ClvpDecoderConfig",
"ClvpEncoderConfig",
],
"feature_extraction_clvp": ["ClvpFeatureExtractor"],
"processing_clvp": ["ClvpProcessor"],
"tokenization_clvp": ["ClvpTokenizer"],
}
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
_import_structure["modeling_clvp"] = [
"CLVP_PRETRAINED_MODEL_ARCHIVE_LIST",
"ClvpModelForConditionalGeneration",
"ClvpForCausalLM",
"ClvpModel",
"ClvpPreTrainedModel",
"ClvpEncoder",
"ClvpDecoder",
]
if TYPE_CHECKING:
from .configuration_clvp import (
CLVP_PRETRAINED_CONFIG_ARCHIVE_MAP,
ClvpConfig,
ClvpDecoderConfig,
ClvpEncoderConfig,
)
from .feature_extraction_clvp import ClvpFeatureExtractor
from .processing_clvp import ClvpProcessor
from .tokenization_clvp import ClvpTokenizer
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
from .modeling_clvp import (
CLVP_PRETRAINED_MODEL_ARCHIVE_LIST,
ClvpDecoder,
ClvpEncoder,
ClvpForCausalLM,
ClvpModel,
ClvpModelForConditionalGeneration,
ClvpPreTrainedModel,
)
else:
import sys
sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)