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117 lines
4.6 KiB
117 lines
4.6 KiB
/* Copyright (c) 2020 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/tdm_child_op.h"
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#include <vector>
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/operators/math/sampler.h"
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#include "paddle/fluid/platform/enforce.h"
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namespace paddle {
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namespace operators {
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class TDMChildOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() {
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AddInput("X",
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"X(Tensor), dtype support int32/int64, X variable is the "
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"node id of TDM-Tree");
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AddInput(
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"TreeInfo",
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"TreeInfo(Tensor), dtype support int32/int64, it stores the node "
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"information in the following format: item_id(shape=1), "
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"layer_id(shape=1), parent_id(shape=1), child_id(shape=child_nums)");
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AddAttr<int>("child_nums", "child_nums(int)",
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"The child nums of one node, if the node hasn't enough child, "
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"it should padding 0 until child nums equal to child_nums");
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AddOutput("Child",
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"Return the children's node_id of input node, "
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"if input don't have child, return 0");
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AddOutput("LeafMask",
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"LeafMask has the same shape with Child"
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"If child is leaf node, LeafMask value = 1, else = 0");
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AddAttr<int>("dtype",
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"(int, default INT32) "
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"Output data type.")
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.SetDefault(2);
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AddComment(R"DOC("
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**Tdm Child**
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According to the input node_id on the given tree, return the corresponding child node_id and
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whether child is a leaf node by LeafMask.")DOC");
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}
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};
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class TDMChildOp : 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_EQ(ctx->HasInput("X"), true,
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platform::errors::InvalidArgument(
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"Inputs(X) of TdmChild should not be null."));
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PADDLE_ENFORCE_EQ(ctx->HasInput("TreeInfo"), true,
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platform::errors::InvalidArgument(
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"Inputs(TreeInfo) of TdmChild should not be null."));
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int child_nums = ctx->Attrs().Get<int>("child_nums");
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PADDLE_ENFORCE_GT(
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child_nums, 0,
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platform::errors::InvalidArgument(
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"ValueError: The value of the 'child_nums' must greater than 0. "
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"But received child_nums value = %d, ",
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child_nums));
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auto info_dims = ctx->GetInputDim("TreeInfo");
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auto input_dims = ctx->GetInputDim("X");
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PADDLE_ENFORCE_EQ(
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info_dims.size(), 2,
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platform::errors::InvalidArgument(
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"ShapeError: The dimensions of the 'tree info' must be 2. "
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"But received tree info's dimensions = %d, "
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"tree info's shape = [%s].",
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info_dims.size(), info_dims));
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auto output_dims = framework::vectorize(input_dims);
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output_dims.push_back(child_nums);
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ctx->SetOutputDim("Child", framework::make_ddim(output_dims));
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ctx->SetOutputDim("LeafMask", framework::make_ddim(output_dims));
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if (ctx->GetOutputsVarType("Child")[0] ==
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framework::proto::VarType::LOD_TENSOR) {
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ctx->ShareLoD("X", /*->*/ "Child");
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ctx->ShareLoD("X", /*->*/ "LeafMask");
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}
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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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auto data_type = OperatorWithKernel::IndicateVarDataType(ctx, "X");
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return framework::OpKernelType(data_type, ctx.device_context());
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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(
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tdm_child, ops::TDMChildOp, ops::TDMChildOpMaker,
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paddle::framework::EmptyGradOpMaker<paddle::framework::OpDesc>,
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paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>);
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REGISTER_OP_CPU_KERNEL(
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tdm_child, ops::TDMChildKernel<paddle::platform::CPUPlace, float>,
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ops::TDMChildKernel<paddle::platform::CPUPlace, double>,
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ops::TDMChildKernel<paddle::platform::CPUPlace, int>,
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ops::TDMChildKernel<paddle::platform::CPUPlace, int64_t>);
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