wehub-resource-sync
80 lines
1.8 KiB
Python
Executable File
80 lines
1.8 KiB
Python
Executable File
# Copyright (c) 2020 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 ...tensor.creation import create_parameter # noqa: F401
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from .common import (
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batch_norm,
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bilinear_tensor_product,
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continuous_value_model, # noqa: F401
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conv2d,
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conv2d_transpose,
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conv3d,
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conv3d_transpose,
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deform_conv2d,
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embedding,
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fc,
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group_norm,
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instance_norm,
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layer_norm,
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prelu,
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py_func,
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row_conv,
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sparse_embedding,
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spectral_norm,
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)
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from .control_flow import case, cond, switch_case, while_loop
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from .loss import nce
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from .sequence_lod import (
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sequence_conv,
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sequence_expand,
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sequence_first_step,
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sequence_last_step,
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sequence_pool,
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sequence_softmax,
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)
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from .static_pylayer import static_pylayer
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__all__ = [
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'fc',
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'batch_norm',
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'bilinear_tensor_product',
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'embedding',
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'case',
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'cond',
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'static_pylayer',
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'conv2d',
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'conv2d_transpose',
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'conv3d',
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'conv3d_transpose',
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'deform_conv2d',
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'group_norm',
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'instance_norm',
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'layer_norm',
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'nce',
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'prelu',
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'py_func',
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'row_conv',
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'spectral_norm',
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'switch_case',
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'while_loop',
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'sparse_embedding',
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'sequence_conv',
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'sequence_softmax',
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'sequence_pool',
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'sequence_first_step',
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'sequence_last_step',
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'sequence_expand',
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'prelu',
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]
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