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# Copyright 2022 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 ..import_utils import OptionalDependencyNotAvailable, _LazyModule, is_diffusers_available
_import_structure = {
"modeling_base": ["GeometricMixtureWrapper", "PreTrainedModelWrapper", "create_reference_model"],
"modeling_value_head": ["AutoModelForCausalLMWithValueHead", "AutoModelForSeq2SeqLMWithValueHead"],
"utils": ["SUPPORTED_ARCHITECTURES", "setup_chat_format", "unwrap_model_for_generation"],
}
try:
if not is_diffusers_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
_import_structure["modeling_sd_base"] = [
"DDPOPipelineOutput",
"DDPOSchedulerOutput",
"DDPOStableDiffusionPipeline",
"DefaultDDPOStableDiffusionPipeline",
]
if TYPE_CHECKING:
from .modeling_base import GeometricMixtureWrapper, PreTrainedModelWrapper, create_reference_model
from .modeling_value_head import AutoModelForCausalLMWithValueHead, AutoModelForSeq2SeqLMWithValueHead
from .utils import SUPPORTED_ARCHITECTURES, setup_chat_format, unwrap_model_for_generation
try:
if not is_diffusers_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
pass
else:
from .modeling_sd_base import (
DDPOPipelineOutput,
DDPOSchedulerOutput,
DDPOStableDiffusionPipeline,
DefaultDDPOStableDiffusionPipeline,
)
else:
import sys
sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)