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
168
169
170
171
172
|
/*
* Copyright (c) 2021 Samsung Electronics Co., Ltd. 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 "luci/Pass/FuseMeanWithMeanPass.h"
#include <luci/IR/CircleNode.h>
#include <luci/Profile/CircleNodeOrigin.h>
namespace
{
/**
* Fuse two Mean operations to one Mean operation with merged reduction indices
*
* BEFORE
* |
* [CircleMean, axis<1>]
* |
* [CircleMean, axis<1>]
* |
*
* AFTER
* |
* [CircleMean, axis<1,2>] [CircleMean, axis<1>]
* | |
* [CircleMean, axis<1>]
*
*/
luci::CircleConst *create_fused_indices(luci::CircleConst *indices,
const std::set<uint32_t> &indices_set)
{
auto name = indices->name();
auto fused_indices_const = indices->graph()->nodes()->create<luci::CircleConst>();
fused_indices_const->dtype(indices->dtype());
fused_indices_const->rank(1);
fused_indices_const->dim(0) = indices_set.size();
fused_indices_const->size<loco::DataType::S32>(indices_set.size());
fused_indices_const->shape_status(luci::ShapeStatus::VALID);
fused_indices_const->name(name);
auto curr_index = 0;
for (auto it = indices_set.begin(); it != indices_set.end(); it++)
{
fused_indices_const->at<loco::DataType::S32>(curr_index) = *it;
curr_index++;
}
return fused_indices_const;
}
bool fuse_mean_with_mean(luci::CircleMean *mean)
{
// Get reduction indices of current CircleMean operation.
auto indices = dynamic_cast<luci::CircleConst *>(mean->reduction_indices());
if (not indices)
return false;
assert(indices->dtype() == loco::DataType::S32);
// Check whether previous node is CircleMean operation or not.
auto prev_mean = dynamic_cast<luci::CircleMean *>(mean->input());
if (not prev_mean)
return false;
// Check whether input rank of previous CircleMean operation is less 2 or not.
// This optimization works only if doesn't.
auto input = loco::must_cast<luci::CircleNode *>(prev_mean->input());
if (input->shape_status() != luci::ShapeStatus::VALID)
return false;
auto input_rank = input->rank();
if (input_rank < 2)
return false;
// Check whether current CircleMean and previous CircleMean
// has the same keep_dims parameter or not.
// If it doesn't, keep the graph unchanged.
if (mean->keep_dims() != prev_mean->keep_dims())
return false;
// Get reduction indices of previous CircleMean operation.
auto prev_indices = dynamic_cast<luci::CircleConst *>(prev_mean->reduction_indices());
if (not prev_indices)
return false;
assert(prev_indices->dtype() == loco::DataType::S32);
// Get sizes of indices of current CircleMean operation and previous CircleMean operation.
auto indices_size = indices->size<loco::DataType::S32>();
auto prev_indices_size = prev_indices->size<loco::DataType::S32>();
// Get set of indices of previous CircleMean operation.
std::set<uint32_t> indices_set;
for (uint32_t i = 0; i < prev_indices_size; i++)
{
auto index = prev_indices->at<loco::DataType::S32>(i);
if (index < 0)
index += input_rank;
indices_set.insert(index);
}
// Get the vector of input indexes, that remained untouched
// after the current CircleMean operation.
std::vector<uint32_t> input_indices_vector;
for (uint32_t i = 0; i < input_rank; i++)
{
if (indices_set.find(i) == indices_set.end())
input_indices_vector.push_back(i);
}
// Get final set of merged indices.
for (uint32_t i = 0; i < indices_size; i++)
{
auto index = indices->at<loco::DataType::S32>(i);
if (index < 0)
index += input_rank;
indices_set.insert(input_indices_vector.at(index));
}
// Create merged indices.
auto fused_indices_const = create_fused_indices(indices, indices_set);
auto name = mean->name();
assert(name.length() > 0);
// Create and configure new CircleMean operation.
auto fused_mean = mean->graph()->nodes()->create<luci::CircleMean>();
fused_mean->reduction_indices(fused_indices_const);
fused_mean->input(prev_mean->input());
fused_mean->keep_dims(mean->keep_dims());
fused_mean->name(name + "/Mean");
// Replace old CircleMean operations with new CircleMean operation with merged indices.
replace(mean).with(fused_mean);
luci::add_origin(fused_mean,
luci::composite_origin({luci::get_origin(mean), luci::get_origin(prev_mean)}));
return true;
}
} // namespace
namespace luci
{
bool FuseMeanWithMeanPass::run(loco::Graph *g)
{
bool changed = false;
for (auto node : loco::active_nodes(loco::output_nodes(g)))
{
auto mean = dynamic_cast<luci::CircleMean *>(node);
if (not mean)
continue;
if (fuse_mean_with_mean(mean))
changed = true;
}
return changed;
}
} // namespace luci
|
