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61 lines
2.1 KiB
61 lines
2.1 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 "paddle/fluid/operators/diag_op.h"
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namespace paddle {
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namespace operators {
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class DiagOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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void InferShape(framework::InferShapeContext *ctx) const override {
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PADDLE_ENFORCE(ctx->HasInput("Diagonal"),
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"Input(Diagonal) of DiagOp should not be null.");
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PADDLE_ENFORCE(ctx->HasOutput("Out"),
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"Output(Out) of DiagOp should not be null.");
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auto s_dims = ctx->GetInputDim("Diagonal");
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PADDLE_ENFORCE(s_dims.size() == 1,
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"The rank of Input(Diagonal) should only be 1.");
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ctx->SetOutputDim("Out", {s_dims[0], s_dims[0]});
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}
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};
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class DiagOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("Diagonal",
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"Diagonal values of square matrix. It is a tensor with rank 1.");
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AddOutput("Out", "A square matrix.");
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AddComment(R"DOC(
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Return a square matrix with specified diagonal values.
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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_OPERATOR(diag, ops::DiagOp, ops::DiagOpMaker,
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paddle::framework::EmptyGradOpMaker);
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REGISTER_OP_CPU_KERNEL(
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diag, ops::DiagKernel<paddle::platform::CPUDeviceContext, int>,
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ops::DiagKernel<paddle::platform::CPUDeviceContext, float>,
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ops::DiagKernel<paddle::platform::CPUDeviceContext, double>,
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ops::DiagKernel<paddle::platform::CPUDeviceContext, int64_t>);
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