FM / perceiver

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

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

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
configuration_perceiver.py	8947	0644	edit dl rm
convert_perceiver_haiku_to_pytorch.py	21260	0644	edit dl rm
feature_extraction_perceiver.py	8189	0644	edit dl rm
modeling_perceiver.py	142434	0644	edit dl rm
tokenization_perceiver.py	8945	0644	edit dl rm
__init__.py	2713	0644	edit dl rm

Edit: /usr/local/lib/python3.6/site-packages/transformers/models/perceiver/__init__.py (2713B)

# 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 2021 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 _LazyModule, is_tokenizers_available, is_torch_available, is_vision_available

_import_structure = {
    "configuration_perceiver": ["PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP", "PerceiverConfig"],
    "tokenization_perceiver": ["PerceiverTokenizer"],
}

if is_vision_available():
    _import_structure["feature_extraction_perceiver"] = ["PerceiverFeatureExtractor"]

if is_torch_available():
    _import_structure["modeling_perceiver"] = [
        "PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST",
        "PerceiverForImageClassificationConvProcessing",
        "PerceiverForImageClassificationFourier",
        "PerceiverForImageClassificationLearned",
        "PerceiverForMaskedLM",
        "PerceiverForMultimodalAutoencoding",
        "PerceiverForOpticalFlow",
        "PerceiverForSequenceClassification",
        "PerceiverLayer",
        "PerceiverModel",
        "PerceiverPreTrainedModel",
    ]

if TYPE_CHECKING:
    from .configuration_perceiver import PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP, PerceiverConfig
    from .tokenization_perceiver import PerceiverTokenizer

if is_vision_available():
        from .feature_extraction_perceiver import PerceiverFeatureExtractor

if is_torch_available():
        from .modeling_perceiver import (
            PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST,
            PerceiverForImageClassificationConvProcessing,
            PerceiverForImageClassificationFourier,
            PerceiverForImageClassificationLearned,
            PerceiverForMaskedLM,
            PerceiverForMultimodalAutoencoding,
            PerceiverForOpticalFlow,
            PerceiverForSequenceClassification,
            PerceiverLayer,
            PerceiverModel,
            PerceiverPreTrainedModel,
        )

else:
    import sys

sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

# 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 2021 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 _LazyModule, is_tokenizers_available, is_torch_available, is_vision_available _import_structure = { "configuration_perceiver": ["PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP", "PerceiverConfig"], "tokenization_perceiver": ["PerceiverTokenizer"], } if is_vision_available(): _import_structure["feature_extraction_perceiver"] = ["PerceiverFeatureExtractor"] if is_torch_available(): _import_structure["modeling_perceiver"] = [ "PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST", "PerceiverForImageClassificationConvProcessing", "PerceiverForImageClassificationFourier", "PerceiverForImageClassificationLearned", "PerceiverForMaskedLM", "PerceiverForMultimodalAutoencoding", "PerceiverForOpticalFlow", "PerceiverForSequenceClassification", "PerceiverLayer", "PerceiverModel", "PerceiverPreTrainedModel", ] if TYPE_CHECKING: from .configuration_perceiver import PERCEIVER_PRETRAINED_CONFIG_ARCHIVE_MAP, PerceiverConfig from .tokenization_perceiver import PerceiverTokenizer if is_vision_available(): from .feature_extraction_perceiver import PerceiverFeatureExtractor if is_torch_available(): from .modeling_perceiver import ( PERCEIVER_PRETRAINED_MODEL_ARCHIVE_LIST, PerceiverForImageClassificationConvProcessing, PerceiverForImageClassificationFourier, PerceiverForImageClassificationLearned, PerceiverForMaskedLM, PerceiverForMultimodalAutoencoding, PerceiverForOpticalFlow, PerceiverForSequenceClassification, PerceiverLayer, PerceiverModel, PerceiverPreTrainedModel, ) else: import sys sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)