FM / decision_transformer

/usr/local/lib/python3.6/site-packages/transformers/models/decision_transformer/

/usr/local/lib/python3.6/site-packages/transformers/models/decision_transformer

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_decision_transformer.py	7886	0644	edit dl rm
modeling_decision_transformer.py	41877	0644	edit dl rm
__init__.py	2052	0644	edit dl rm

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__)

cmd: