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62 lines
2.2 KiB
62 lines
2.2 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/rowwise_add_op.h"
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#include "paddle/framework/op_registry.h"
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namespace paddle {
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namespace operators {
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class RowWiseAddOp : public framework::OperatorWithKernel {
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protected:
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void InferShape(
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const std::vector<const framework::Tensor *> &inputs,
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const std::vector<framework::Tensor *> &outputs) const override {
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PADDLE_ENFORCE(inputs.size() == 2UL, "Two inputs is needed by rowwise add");
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auto dim0 = inputs[0]->dims();
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auto dim1 = inputs[1]->dims();
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PADDLE_ENFORCE(dim0.size() == 2, "Input 0 must be matrix");
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PADDLE_ENFORCE(dim1.size() == 1, "The second input must be vector");
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PADDLE_ENFORCE(dim0[1] == dim1[0], "The width of two input must be same");
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PADDLE_ENFORCE(outputs.size() == 1, "The output size must be 1");
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outputs[0]->Resize(inputs[0]->dims());
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}
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};
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class RowWiseAddOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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RowWiseAddOpMaker(framework::OpProto *proto,
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framework::OpAttrChecker *op_checker)
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: framework::OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("X", "The left input of row-wise add op, must be matrix");
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AddInput("b", "The right input of row-wise add op, must be vector");
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AddOutput("Out", "The output of row-wise add op");
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AddComment(R"DOC(Row-wise Add operator
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for i in xrange(X.shape[0]):
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Out = X[i] + b
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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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REGISTER_OP(rowwise_add,
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paddle::operators::RowWiseAddOp,
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paddle::operators::RowWiseAddOpMaker);
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REGISTER_OP_CPU_KERNEL(
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rowwise_add,
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paddle::operators::RowWiseAddKernel<paddle::platform::CPUPlace, float>);
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