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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_prune.h"
namespace caffe2 {
namespace {
REGISTER_CPU_OPERATOR(FC_Prune, FullyConnectedOpPrune<float, CPUContext>);
REGISTER_CPU_OPERATOR(
FCGradient_Prune,
FullyConnectedPruneGradientOp<float, CPUContext>);
/* 8 Inputs:
* X W Mask bias Ag_dw Mask_seq thres comp_lb
* */
OPERATOR_SCHEMA(FC_Prune).NumInputs(8).NumOutputs(1, 2);
OPERATOR_SCHEMA(FCGradient_Prune)
.NumInputs(8)
.NumOutputs(6, 7)
.AllowInplace({{1, 2}, {2, 3}, {4, 4}, {5, 5}});
class GetFCPruneGradient : public GradientMakerBase {
using GradientMakerBase::GradientMakerBase;
vector<OperatorDef> GetGradientDefs() override {
CAFFE_ENFORCE_EQ(def_.input_size(), 8);
return SingleGradientDef(
"FCGradient_Prune",
"",
vector<string>{I(0), I(1), I(2), GO(0), I(4), I(5), I(6), I(7)},
vector<string>{GI(1), GI(3), I(1), I(2), I(4), I(5), GI(0)});
}
};
REGISTER_GRADIENT(FC_Prune, GetFCPruneGradient);
} // namespace
} // namespace caffe2
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