# 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_llava": ["LLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP", "LlavaConfig"],
"processing_llava": ["LlavaProcessor"],
}
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
_import_structure["modeling_llava"] = [
"LLAVA_PRETRAINED_MODEL_ARCHIVE_LIST",
"LlavaForConditionalGeneration",
"LlavaPreTrainedModel",
]
if TYPE_CHECKING:
from .configuration_llava import LLAVA_PRETRAINED_CONFIG_ARCHIVE_MAP, LlavaConfig
from .processing_llava import LlavaProcessor
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
from .modeling_llava import (
LLAVA_PRETRAINED_MODEL_ARCHIVE_LIST,
LlavaForConditionalGeneration,
LlavaPreTrainedModel,
)
else:
import sys
sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure)