forked from PaddlePaddle/Paddle
-
Notifications
You must be signed in to change notification settings - Fork 0
/
fc_fuse_pass.cc
167 lines (148 loc) · 5.95 KB
/
fc_fuse_pass.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
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
//
// 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 "paddle/fluid/framework/ir/fc_fuse_pass.h"
#include <memory>
#include <string>
#include <unordered_set>
#include <vector>
#include "paddle/fluid/framework/ir/graph_helper.h"
#include "paddle/fluid/platform/enforce.h"
namespace paddle {
namespace framework {
namespace ir {
void FCFusePass::ApplyImpl(ir::Graph* graph) const {
PADDLE_ENFORCE_NOT_NULL(graph);
FusePassBase::Init("fc_fuse", graph);
int found_fc_count = 0;
for (bool with_relu : {true, false}) {
found_fc_count += ApplyFCPattern(graph, with_relu);
}
AddStatis(found_fc_count);
}
int FCFusePass::ApplyFCPattern(Graph* graph, bool with_relu) const {
GraphPatternDetector gpd;
auto* x = gpd.mutable_pattern()
->NewNode("fc_fuse/x")
->AsInput()
->assert_is_op_input("mul", "X");
patterns::FC fc_pattern(gpd.mutable_pattern(), "fc_fuse");
fc_pattern(x, true /*with bias*/, with_relu);
int found_fc_count = 0;
auto handler = [&](const GraphPatternDetector::subgraph_t& subgraph,
Graph* g) {
if (subgraph.count(x) <= 0) {
LOG(WARNING) << "The subgraph is empty.";
return;
}
VLOG(4) << "handle FC fuse";
GET_IR_NODE_FROM_SUBGRAPH(w, w, fc_pattern);
GET_IR_NODE_FROM_SUBGRAPH(bias, bias, fc_pattern);
GET_IR_NODE_FROM_SUBGRAPH(elementwise_add_out, elementwise_add_out,
fc_pattern);
GET_IR_NODE_FROM_SUBGRAPH(mul, mul, fc_pattern);
GET_IR_NODE_FROM_SUBGRAPH(elementwise_add, elementwise_add, fc_pattern);
GET_IR_NODE_FROM_SUBGRAPH(mul_out, mul_out, fc_pattern);
Node* relu = nullptr;
Node* relu_out = nullptr;
if (with_relu) {
GET_IR_NODE_FROM_SUBGRAPH(tmp_relu, relu, fc_pattern);
GET_IR_NODE_FROM_SUBGRAPH(tmp_relu_out, relu_out, fc_pattern);
relu = tmp_relu;
relu_out = tmp_relu_out;
}
// Create an FC Node.
OpDesc desc;
desc.SetType("fc");
// Set inputs of fc
desc.SetInput("Input", {subgraph.at(x)->Name()});
desc.SetInput("W", {w->Name()});
desc.SetInput("Bias", {bias->Name()});
// Set output of fc
std::string fc_out_name =
with_relu ? relu_out->Name() : elementwise_add_out->Name();
desc.SetOutput("Out", std::vector<std::string>({fc_out_name}));
// Set attrs of fc
desc.SetAttr("in_num_col_dims", mul->Op()->GetAttr("x_num_col_dims"));
std::string activation_type = with_relu ? "relu" : "";
desc.SetAttr("activation_type", activation_type);
// This is to add padding for dimension 128 on concern of MKL performance
auto* scope = param_scope();
auto* weight = scope->FindVar(w->Name())->GetMutable<LoDTensor>();
auto place = weight->place();
bool use_gpu = Get<bool>("use_gpu");
auto weight_data = weight->data<float>();
auto weight_dims = weight->dims();
int weight_num = product(weight_dims);
int w_h = weight_dims[0];
int w_w = weight_dims[1];
if (!use_gpu) {
if (w_h % 128 == 0 && w_w % 128 == 0) {
float* weight_data_tmp = new float[weight_num];
for (int i = 0; i < w_h; i++) {
memcpy(weight_data_tmp + i * w_w, weight_data + i * w_w,
w_w * sizeof(float));
}
weight->Resize(DDim{weight_dims[0] + 4, weight_dims[1] + 4});
auto weight_data_new =
weight->mutable_data<float>(platform::CPUPlace());
for (int i = 0; i < w_h; i++) {
memcpy(weight_data_new + i * (w_w + 4), weight_data_tmp + i * w_w,
w_w * sizeof(float));
}
delete[] weight_data_tmp;
desc.SetAttr("padding_weights", true);
}
}
// For anakin subgraph int8
// When in anakin subgraph int8 mode, the pattern like "fake_quant + mul +
// fake_dequant" can be detected by the quant_dequant_fuse_pass. This pass
// will add "input_scale", "weight_scale" which are extracted from
// fake_quant op and fake_dequant op to mul op, and then delete the
// fake_quant op and fake_dequant op in the graph. If the mul op has the
// scale info, we should add those to the fused fc.
auto* mul_op_desc = mul->Op();
if (mul_op_desc->HasAttr("enable_int8")) {
desc.SetAttr("enable_int8", mul_op_desc->GetAttr("enable_int8"));
desc.SetAttr("input_scale", mul_op_desc->GetAttr("input_scale"));
desc.SetAttr("weight_scale", mul_op_desc->GetAttr("weight_scale"));
if (mul_op_desc->HasAttr("out_scale"))
desc.SetAttr("out_scale", mul_op_desc->GetAttr("out_scale"));
auto elementwise_desc = elementwise_add->Op();
if (elementwise_desc->HasAttr("out_scale"))
desc.SetAttr("out_scale", elementwise_desc->GetAttr("out_scale"));
}
auto fc_node = g->CreateOpNode(&desc); // OpDesc will be copied.
if (with_relu) {
GraphSafeRemoveNodes(
graph, {mul, elementwise_add, mul_out, elementwise_add_out, relu});
} else {
GraphSafeRemoveNodes(graph, {mul, elementwise_add, mul_out});
}
IR_NODE_LINK_TO(subgraph.at(x), fc_node);
IR_NODE_LINK_TO(w, fc_node);
IR_NODE_LINK_TO(bias, fc_node);
if (with_relu) {
IR_NODE_LINK_TO(fc_node, relu_out);
} else {
IR_NODE_LINK_TO(fc_node, elementwise_add_out);
}
found_fc_count++;
};
gpd(graph, handler);
return found_fc_count;
}
} // namespace ir
} // namespace framework
} // namespace paddle
REGISTER_PASS(fc_fuse_pass, paddle::framework::ir::FCFusePass);