wehub-resource-sync
82 lines
1.9 KiB
C++
82 lines
1.9 KiB
C++
/* Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#pragma once
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#include "paddle/fluid/framework/ir/fuse_pass_base.h"
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namespace paddle {
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namespace framework {
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namespace ir {
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//
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// | |
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// group_norm group_norm
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// | -> |
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// silu
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// |
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class Graph;
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class GroupNormActFusePass : public FusePassBase {
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public:
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GroupNormActFusePass() {
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AddOpCompat(OpCompat("group_norm"))
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.AddInput("X")
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.IsTensor()
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.End()
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.AddInput("Scale")
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.IsTensor()
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.End()
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.AddInput("Bias")
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.IsTensor()
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.End()
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.AddOutput("Y")
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.IsTensor()
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.End()
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.AddOutput("Mean")
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.IsTensor()
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.End()
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.AddOutput("Variance")
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.IsTensor()
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.End()
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.AddAttr("epsilon")
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.IsNumGE(0.0f)
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.IsNumLE(1.0f)
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.End()
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.AddAttr("groups")
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.IsNumGE(1)
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.End()
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.AddAttr("data_layout")
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.IsStringIn({"NCHW"})
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.End();
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AddOpCompat(OpCompat("silu"))
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.AddInput("X")
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.IsTensor()
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.End()
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.AddOutput("Out")
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.IsTensor()
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.End();
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}
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virtual ~GroupNormActFusePass() {}
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protected:
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void ApplyImpl(ir::Graph* graph) const override;
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int ApplyGNSiluPattern(ir::Graph* graph) const;
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};
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} // namespace ir
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} // namespace framework
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} // namespace paddle
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