/usr/local/lib/python3.6/site-packages/transformers/models/decision_transformer
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__pycache__/-0755rm
configuration_decision_transformer.py78860644editdlrm
modeling_decision_transformer.py418770644editdlrm
__init__.py20520644editdlrm
Edit: /usr/local/lib/python3.6/site-packages/transformers/models/decision_transformer/__init__.py (2052B)
# flake8: noqa # There's no way to ignore "F401 '...' imported but unused" warnings in this # module, but to preserve other warnings. So, don't check this module at all. # Copyright 2020 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 # rely on isort to merge the imports from ...utils import _LazyModule, is_torch_available _import_structure = { "configuration_decision_transformer": [ "DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "DecisionTransformerConfig", ], } if is_torch_available(): _import_structure["modeling_decision_transformer"] = [ "DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST", "DecisionTransformerGPT2Model", "DecisionTransformerGPT2PreTrainedModel", "DecisionTransformerModel", "DecisionTransformerPreTrainedModel", ] if TYPE_CHECKING: from .configuration_decision_transformer import ( DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, DecisionTransformerConfig, ) if is_torch_available(): from .modeling_decision_transformer import ( DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST, DecisionTransformerGPT2Model, DecisionTransformerGPT2PreTrainedModel, DecisionTransformerModel, DecisionTransformerPreTrainedModel, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)