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# 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 transformers.utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
_import_structure = {"configuration_pllava": ["PLLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP", "PllavaConfig"]}
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
_import_structure["modeling_pllava"] = [
"PLLAVA_PRETRAINED_MODEL_ARCHIVE_LIST",
"PllavaForConditionalGeneration",
"PllavaPreTrainedModel",
]
_import_structure["processing_pllava"] = ["PllavaProcessor"]
if TYPE_CHECKING:
from .configuration_pllava import PLLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP, PllavaConfig
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
from .modeling_pllava import (
PLLAVA_PRETRAINED_MODEL_ARCHIVE_LIST,
PllavaForConditionalGeneration,
PllavaPreTrainedModel,
)
from .processing_pllava import PllavaProcessor
else:
import sys
sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure)
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