chore: import upstream snapshot with attribution
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# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from .activation import leaky_relu, relu, relu6, softmax
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from .conv import (
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conv2d,
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conv3d,
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subm_conv2d,
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subm_conv2d_igemm,
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subm_conv3d,
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subm_conv3d_igemm,
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)
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from .pooling import max_pool3d
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from .transformer import attention
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__all__ = [
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'conv2d',
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'conv3d',
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'subm_conv2d',
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'subm_conv2d_igemm',
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'subm_conv3d',
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'subm_conv3d_igemm',
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'max_pool3d',
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'relu',
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'relu6',
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'leaky_relu',
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'softmax',
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'attention',
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]
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