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120 lines
4.3 KiB
120 lines
4.3 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 MultiHeadMatMulV2Op : 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(
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context->HasInput("Input"), true,
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platform::errors::InvalidArgument(
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"Input(Input) of MultiHeadMatMul should not be null."));
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PADDLE_ENFORCE_EQ(context->HasInput("W"), true,
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platform::errors::InvalidArgument(
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"Input(W) 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->HasInput("BiasQK"), true,
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platform::errors::InvalidArgument(
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"Input(BiasQK) 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_w = context->GetInputDim("W");
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PADDLE_ENFORCE_GT(
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dim_w.size(), 2,
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platform::errors::InvalidArgument(
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"Multihead input is expected at least a 3-D tensor, but "
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"it's %d-D tensor now.",
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dim_w.size()));
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auto dim_bias_q = context->GetInputDim("Bias");
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PADDLE_ENFORCE_GT(
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dim_bias_q.size(), 1,
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platform::errors::InvalidArgument(
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"Multihead input should be at least 2-D tensor, but it's "
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"%d-D tensor now.",
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dim_bias_q.size()));
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auto dim_bias_qk = context->GetInputDim("BiasQK");
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PADDLE_ENFORCE_GT(
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dim_bias_qk.size(), 3,
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platform::errors::InvalidArgument(
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"Multihead input bias qk should be at least 4-D tensor, "
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"but it's %d-D tensor now.",
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dim_bias_qk.size()));
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auto dim_input = context->GetInputDim("Input");
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context->SetOutputDim("Out", dim_input);
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context->ShareLoD("Input", /*->*/ "Out");
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}
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};
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class MultiHeadMatMulV2OpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("Input", "The input of MultiHeadMatMul op");
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AddInput("W", "The weight input of MultiHeadMatMul op");
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AddInput("Bias", "The bias input of MultiHeadMatMul op");
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AddInput("BiasQK", "The QK bias input of MultiHeadMatMul op");
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AddOutput("Out", "The output of MultiHeadMatMul op");
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AddAttr<bool>("transpose_Q",
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R"DOC(If true, use the transpose of `Q`.
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)DOC")
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.SetDefault(false);
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AddAttr<bool>("transpose_K",
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R"DOC(If true, use the transpose of `K`.
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)DOC")
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.SetDefault(true);
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AddAttr<bool>("transpose_V",
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R"DOC(If true, use the transpose of `V`.
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)DOC")
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.SetDefault(false);
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AddAttr<float>("alpha", "The scale of Out").SetDefault(1.0f);
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AddAttr<int>("head_number", "The number of heads of the matrix")
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.SetDefault(1);
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AddComment(R"DOC(
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MultiHeadMatMul Operator.
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This op is used for optimize multi head calculation in ernie model.
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Not suggest to use in other case except has same structure as ernie.
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Example of matrix multiplication with head_number of B
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- X: [B, M, K], Y: [B, K, N] => Out: [B, M, N]
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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(multihead_matmul, ops::MultiHeadMatMulV2Op,
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ops::MultiHeadMatMulV2OpMaker);
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