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79 lines
2.9 KiB
79 lines
2.9 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/top_k_op.h"
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namespace paddle {
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namespace operators {
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class TopkOp : 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 TopkOp should not be null.");
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PADDLE_ENFORCE(ctx->HasOutput("Out"),
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"Output(Out) of TopkOp should not be null.");
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PADDLE_ENFORCE(ctx->HasOutput("Indices"),
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"Output(Indices) of TopkOp should not be null.");
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auto input_dims = ctx->GetInputDim("X");
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const int k = static_cast<int>(ctx->Attrs().Get<int>("k"));
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PADDLE_ENFORCE_GE(k, 1, "k must >= 1");
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PADDLE_ENFORCE_GE(input_dims.size(), 1, "input must have >= 1d shape");
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PADDLE_ENFORCE_GE(input_dims[input_dims.size() - 1], k,
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"input must have >= k columns");
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framework::DDim dims = input_dims;
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dims[dims.size() - 1] = k;
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ctx->SetOutputDim("Out", dims);
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ctx->SetOutputDim("Indices", dims);
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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 TopkOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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TopkOpMaker(OpProto *proto, OpAttrChecker *op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("X", "(Tensor) The input of Topk op");
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AddOutput("Out", "(Tensor) The output tensor of Topk op");
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AddOutput("Indices", "(Tensor) The indices of Topk elements of input");
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AddComment(R"DOC(
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Top K operator
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If the input is a vector (1d tensor), this operator finds the k largest
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entries in the vector and outputs their values and indices as vectors.
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Thus values[j] is the j-th largest entry in input, and its index is indices[j].
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For matrices, this operator computes the top k entries in each row. )DOC");
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AddAttr<int>("k",
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"(int, default 1) Number of top elements to look for along "
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"the last dimension (along each row for matrices).")
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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(top_k, ops::TopkOp, ops::TopkOpMaker,
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paddle::framework::EmptyGradOpMaker);
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REGISTER_OP_CPU_KERNEL(top_k,
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ops::TopkKernel<paddle::platform::CPUPlace, float>);
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