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71 lines
2.6 KiB
71 lines
2.6 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/unique_op.h"
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namespace paddle {
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namespace operators {
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class UniqueOp : 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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OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "unique");
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OP_INOUT_CHECK(ctx->HasOutput("Out"), "Output", "Out", "unique");
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OP_INOUT_CHECK(ctx->HasOutput("Index"), "Output", "Index", "unique");
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auto in_dims = ctx->GetInputDim("X");
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PADDLE_ENFORCE_EQ(
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in_dims.size(), 1,
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platform::errors::InvalidArgument("The Input(X) should be 1-D Tensor, "
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"But now the dims of Input(X) is %d.",
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in_dims.size()));
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ctx->SetOutputDim("Out", {-1});
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ctx->SetOutputDim("Index", in_dims);
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}
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protected:
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framework::OpKernelType GetExpectedKernelType(
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const framework::ExecutionContext& ctx) const override {
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return framework::OpKernelType(
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OperatorWithKernel::IndicateVarDataType(ctx, "X"),
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platform::CPUPlace());
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}
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};
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class UniqueOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("X", "Input tensor. It should be a 1-D tensor.");
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AddAttr<int>("dtype", "data type for output index");
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AddOutput("Out", "A unique subsequence for input tensor.");
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AddOutput("Index",
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"An index tensor pointing to unique subsequence, which has "
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"identical shape with input tensor and int64 dtype.");
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AddComment(R"DOC(
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Return a unique subsequence for 1-D input tensor, and an index tensor pointing to this unique subsequence
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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(unique, ops::UniqueOp, ops::UniqueOpMaker);
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REGISTER_OP_CPU_KERNEL(unique, ops::UniqueKernel<float>,
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ops::UniqueKernel<double>, ops::UniqueKernel<int32_t>,
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ops::UniqueKernel<int64_t>);
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