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/**
* Copyright (c) 2016-present, Facebook, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "caffe2/experiments/operators/fully_connected_op_decomposition.h"
namespace caffe2 {
REGISTER_CPU_OPERATOR(FC_Decomp, FullyConnectedOpDecomp<float, CPUContext>);
REGISTER_CPU_OPERATOR(
FCGradient_Decomp,
FullyConnectedDecompGradientOp<float, CPUContext>);
OPERATOR_SCHEMA(FC_Decomp).NumInputs(4).NumOutputs(1);
OPERATOR_SCHEMA(FCGradient_Decomp).NumInputs(4).NumOutputs(3, 4);
class GetFCDecompGradient : public GradientMakerBase {
using GradientMakerBase::GradientMakerBase;
vector<OperatorDef> GetGradientDefs() override {
CAFFE_ENFORCE_EQ(def_.input_size(), 4);
// TODO(wyiming): Check whether it is right? Let's move fast first.
return SingleGradientDef(
"FCGradient_Decomp",
"",
vector<string>{I(0), I(1), I(2), GO(0)},
vector<string>{GI(1), GI(2), GI(3), GI(0)});
}
};
REGISTER_GRADIENT(FC_Decomp, GetFCDecompGradient);
} // namespace caffe2
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