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88 lines
3.2 KiB
88 lines
3.2 KiB
/* Copyright (c) 2016 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/argsort_op.h"
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namespace paddle {
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namespace operators {
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class ArgsortOp : 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("X"),
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"Input(X) of ArgsortOp should not be null.");
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PADDLE_ENFORCE(ctx->HasOutput("Out"),
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"Output(Out) of ArgsortOp should not be null.");
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PADDLE_ENFORCE(ctx->HasOutput("Indices"),
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"Output(Indices) of ArgsortOp should not be null.");
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auto in_dims = ctx->GetInputDim("X");
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int axis = ctx->Attrs().Get<int>("axis");
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auto num_dims = in_dims.size();
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PADDLE_ENFORCE(axis < num_dims,
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"Attr(axis) %d of ArgsortOp is out of bounds for Input(X)'s "
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"rank %d.",
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axis, num_dims);
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PADDLE_ENFORCE(axis >= -num_dims,
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"Attr(axis) %d of ArgsortOp must be not less than "
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"-rank(Input(X)) (%d).",
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axis, num_dims);
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ctx->ShareDim("X", "Out");
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ctx->ShareDim("X", "Indices");
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ctx->ShareLoD("X", "Out");
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ctx->ShareLoD("X", "Indices");
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}
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};
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class ArgsortOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("X", "(Tensor) The input of Argsort op.");
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AddOutput("Out",
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"(Tensor) The sorted tensor of Argsort op, with the same "
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"shape as Input(X).");
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AddOutput("Indices",
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"(Tensor) The indices of a tensor giving the sorted order, with "
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"the same shape as Input(X).");
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AddComment(R"DOC(
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Argsort operator
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Performs sorting on the input tensor along the given axis and outputs two
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tensors, Output(Out) and Output(Indices). They reserve the same shape
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with Input(X), and Output(Out) represents the sorted tensor while
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Output(Indices) gives the sorted order along the given axis Attr(axis).
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)DOC");
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AddAttr<int>("axis",
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"(int, default -1) The axis along which to sort the tensor. "
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"When axis < 0, the actual axis will be the |axis|'th "
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"counting backwards. Default -1, the last dimension.")
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.SetDefault(-1);
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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(argsort, ops::ArgsortOp, ops::ArgsortOpMaker,
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paddle::framework::EmptyGradOpMaker);
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REGISTER_OP_CPU_KERNEL(argsort,
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ops::ArgsortKernel<paddle::platform::CPUPlace, float>,
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ops::ArgsortKernel<paddle::platform::CPUPlace, double>);
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