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61 lines
2.0 KiB
61 lines
2.0 KiB
8 years ago
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/* 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 "MulOp.h"
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namespace paddle {
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/**
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* mul operator
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* out = scaleT * out + scaleAB*(in1 * in2)
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*
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* \param outputs[0] output matrix, N * M
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* \param inputs[0] first input (sparse) matrix, N * K
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* \param inputs[1] second input matrix, K * M (non-transpose)
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*/
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template <DeviceType Device>
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class MulFunc : public FunctionBase {
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public:
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void init(const FuncConfig& config) override {
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scaleAB_ = config.get<real>("scaleAB");
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scaleT_ = config.get<real>("scaleT");
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}
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void calc(const BufferArgs& inputs, const BufferArgs& outputs) override {
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/// todo(tianbing), add more checks
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CHECK_EQ((size_t)1, inputs.size());
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CHECK_EQ((size_t)2, outputs.size());
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CHECK(inputs[0].data() && inputs[1].data() && outputs[0].data());
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CHECK_EQ(inputs[0].shape().ndims(), (size_t)2);
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CHECK_EQ(inputs[1].shape().ndims(), (size_t)2);
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CHECK_EQ(outputs[0].shape().ndims(), (size_t)2);
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CHECK_EQ(outputs[0].getArgType(), ASSIGN_TO);
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CHECK(inputs[0].isSparse()) << "SparseMatrix requried here";
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const auto in1_mat = inputs[0].sparse().SparseMatrix<Device>();
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auto out_mat = outputs[0].matrix<Device>();
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const auto in2_mat = inputs[1].matrix<Device>();
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MulOp<Device>(out_mat, in1_mat, in2_mat, scaleAB_, scaleT_);
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}
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private:
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real scaleAB_;
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real scaleT_;
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};
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#ifndef PADDLE_ONLY_CPU
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REGISTER_TYPED_FUNC(MulOp, GPU, MulFunc);
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#endif
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} // namespace paddle
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