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92 lines
3.4 KiB
92 lines
3.4 KiB
/* Copyright (c) 2019 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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#include <vector>
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/platform/errors.h"
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namespace paddle {
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namespace operators {
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class SkipLayerNormOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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protected:
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void InferShape(framework::InferShapeContext *context) const override {
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PADDLE_ENFORCE_EQ(context->HasInput("X"), true,
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platform::errors::InvalidArgument(
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"Input(X) of MultiHeadMatMul should not be null."));
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PADDLE_ENFORCE_EQ(context->HasInput("Y"), true,
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platform::errors::InvalidArgument(
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"Input(Y) of MultiHeadMatMul should not be null."));
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PADDLE_ENFORCE_EQ(
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context->HasInput("Scale"), true,
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platform::errors::InvalidArgument(
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"Input(Scale) of MultiHeadMatMul should not be null."));
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PADDLE_ENFORCE_EQ(
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context->HasInput("Bias"), true,
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platform::errors::InvalidArgument(
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"Input(Bias) of MultiHeadMatMul should not be null."));
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PADDLE_ENFORCE_EQ(
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context->HasOutput("Out"), true,
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platform::errors::InvalidArgument(
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"Output(Out) of MultiHeadMatMul should not be null."));
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auto dim_input = context->GetInputDim("X");
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context->SetOutputDim("Out", dim_input);
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context->ShareLoD("X", "Out");
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}
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};
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class SkipLayerNormOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("X", "The X input of SkipLayerNorm op");
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AddInput("Y", "The Y input of SkipLayerNorm op");
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AddInput("Scale", "The scale input of SkipLayerNorm op");
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AddInput("Bias", "The bias input of SkipLayerNorm op");
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AddOutput("Out", "The output of SkipLayerNorm op");
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AddAttr<float>("epsilon",
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"param epsilon of layer_norm op in "
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"skip_layernorm_fuse_pass");
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AddAttr<int>("begin_norm_axis",
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"param begin_norm_axis of "
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"layer_norm op in skip_layernorm_fuse_pass");
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AddComment(R"DOC(
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SkipLayerNorm Operator.
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This op is used for skip_layernorm_fuse_pass, which fuse op pattern as followed.
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other_op1 other_op2 other_op1 other_op2
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| | fuse \ /
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|------elementwise_add -> skip_layernorm
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layer_norm other_op3
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other_op3
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)DOC");
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OP_WITHOUT_GRADIENT(skip_layernorm, ops::SkipLayerNormOp,
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ops::SkipLayerNormOpMaker);
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