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107 lines
3.5 KiB
107 lines
3.5 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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/operators/concat_op.h"
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#include <vector>
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namespace paddle {
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namespace operators {
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using framework::Tensor;
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class ConcatOp : 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_GE(ctx->Inputs("X").size(), 1UL,
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"Inputs(X) of ConcatOp should be empty.");
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PADDLE_ENFORCE(ctx->HasOutput("Out"),
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"Output(Out) of ConcatOp should not be null.");
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auto ins = ctx->GetInputsDim("X");
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size_t axis = static_cast<size_t>(ctx->Attrs().Get<int>("axis"));
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const size_t n = ins.size();
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PADDLE_ENFORCE_GT(n, 1, "Input tensors count should > 1.");
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auto out_dims = ins[0];
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size_t in_zero_dims_size = out_dims.size();
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for (size_t i = 1; i < n; i++) {
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for (size_t j = 0; j < in_zero_dims_size; j++) {
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if (j == axis) {
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out_dims[axis] += ins[i][j];
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} else {
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PADDLE_ENFORCE_EQ(out_dims[j], ins[i][j],
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"Input tensors should have the same "
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"elements except the specify axis.");
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}
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}
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}
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if (out_dims[axis] < 0) {
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out_dims[axis] = -1;
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}
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ctx->SetOutputDim("Out", out_dims);
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ctx->ShareLoD("X", /*->*/ "Out");
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}
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};
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class ConcatOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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ConcatOpMaker(OpProto *proto, OpAttrChecker *op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("X", "Input tensors of concat operator.").AsDuplicable();
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AddOutput("Out", "Output tensor of concat operator.");
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AddAttr<int>("axis",
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"The axis along which the input tensors will be concatenated.")
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.SetDefault(0);
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AddComment(R"DOC(
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Concat Operator.
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Concatenate the input tensors along dimension axis.
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Examples:
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Input[0] = [[1,2],[3,4]]
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Input[1] = [[5,6]]
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axis = 0
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Output = [[1,2],
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[3,4],
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[5,6]]
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)DOC");
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}
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};
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class ConcatOpGrad : public framework::OperatorWithKernel {
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public:
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ConcatOpGrad(const std::string &type,
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const framework::VariableNameMap &inputs,
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const framework::VariableNameMap &outputs,
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const framework::AttributeMap &attrs)
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: OperatorWithKernel(type, inputs, outputs, attrs) {}
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void InferShape(framework::InferShapeContext *ctx) const override {
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ctx->SetOutputsDim(framework::GradVarName("X"), ctx->GetInputsDim("X"));
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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_EX(concat, ops::ConcatOp, ops::ConcatOpMaker, concat_grad,
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ops::ConcatOpGrad, false)
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REGISTER_OP_CPU_KERNEL(concat,
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ops::ConcatKernel<paddle::platform::CPUPlace, float>)
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REGISTER_OP_CPU_KERNEL(concat_grad,
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ops::ConcatGradKernel<paddle::platform::CPUPlace, float>)
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