forked from pytorch/pytorch
-
Notifications
You must be signed in to change notification settings - Fork 0
/
fully_connected_op_prune.cc
44 lines (40 loc) · 1.61 KB
/
fully_connected_op_prune.cc
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
/**
* 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