types.cpp 10.5 KB
Newer Older
L
liuruilong 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
/* 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 "common/types.h"
L
liuruilong 已提交
16
#include <vector>
L
liuruilong 已提交
17 18 19

namespace paddle_mobile {

20 21 22 23 24
const char *G_OP_TYPE_CONV = "conv2d";
const char *G_OP_TYPE_BATCHNORM = "batch_norm";
const char *G_OP_TYPE_BOX_CODER = "box_coder";
const char *G_OP_TYPE_CONCAT = "concat";
const char *G_OP_TYPE_ELEMENTWISE_ADD = "elementwise_add";
25 26
const char *G_OP_TYPE_ELEMENTWISE_SUB = "elementwise_sub";
const char *G_OP_TYPE_ELEMENTWISE_MUL = "elementwise_mul";
L
lijiancheng0614 已提交
27
const char *G_OP_TYPE_FILL_CONSTANT = "fill_constant";
28
const char *G_OP_TYPE_FUSION_CONV_ADD_RELU = "fusion_conv_add_relu";
29 30
const char *G_OP_TYPE_FUSION_CONV_ADD_PRELU = "fusion_conv_add_prelu";
const char *G_OP_TYPE_FUSION_CONV_ADD_ADD_PRELU = "fusion_conv_add_add_prelu";
31
const char *G_OP_TYPE_FUSION_CONV_ADD_BN_RELU = "fusion_conv_add_bn_relu";
32
const char *G_OP_TYPE_FUSION_CONV_BN_ADD_RELU = "fusion_conv_bn_add_relu";
33 34 35 36 37 38 39
const char *G_OP_TYPE_FUSION_DWCONV_BN_RELU = "fusion_dwconv_bn_relu";
const char *G_OP_TYPE_FUSION_CONV_BN_RELU = "fusion_conv_bn_relu";
const char *G_OP_TYPE_FC = "fusion_fc";
const char *G_OP_TYPE_FUSION_CONV_ADD = "fusion_conv_add";
const char *G_OP_TYPE_LRN = "lrn";
const char *G_OP_TYPE_MUL = "mul";
const char *G_OP_TYPE_MULTICLASS_NMS = "multiclass_nms";
Z
zhaojiaying01 已提交
40
const char *G_OP_TYPE_NORM = "norm";
L
lijiancheng0614 已提交
41
const char *G_OP_TYPE_POLYGON_BOX_TRANSFORM = "polygon_box_transform";
42 43 44
const char *G_OP_TYPE_POOL2D = "pool2d";
const char *G_OP_TYPE_PRIOR_BOX = "prior_box";
const char *G_OP_TYPE_RELU = "relu";
45
const char *G_OP_TYPE_RELU6 = "relu6";
46
const char *G_OP_TYPE_RESHAPE = "reshape";
L
lijiancheng0614 已提交
47
const char *G_OP_TYPE_RESHAPE2 = "reshape2";
48 49 50
const char *G_OP_TYPE_SIGMOID = "sigmoid";
const char *G_OP_TYPE_SOFTMAX = "softmax";
const char *G_OP_TYPE_TRANSPOSE = "transpose";
L
lijiancheng0614 已提交
51
const char *G_OP_TYPE_TRANSPOSE2 = "transpose2";
52 53 54 55 56 57 58 59 60
const char *G_OP_TYPE_SPLIT = "split";
const char *G_OP_TYPE_FEED = "feed";
const char *G_OP_TYPE_FETCH = "fetch";
const char *G_OP_TYPE_DEPTHWISE_CONV = "depthwise_conv2d";
const char *G_OP_TYPE_IM2SEQUENCE = "im2sequence";
const char *G_OP_TYPE_DROPOUT = "dropout";
const char *G_OP_TYPE_FUSION_CONV_ADD_BN = "fusion_conv_add_bn";
const char *G_OP_TYPE_FUSION_POOL_BN = "fusion_pool_bn";
const char *G_OP_TYPE_FUSION_ELEMENTWISE_ADD_RELU =
Z
zhangyang 已提交
61
    "fusion_elementwise_add_relu";
62 63
const char *G_OP_TYPE_FUSION_FC_RELU = "fusion_fc_relu";
const char *G_OP_TYPE_REGION = "region";
qnqinan's avatar
qnqinan 已提交
64
const char *G_OP_TYPE_FUSION_CONV_BN = "fusion_conv_bn";
65 66
const char *G_OP_TYPE_CONV_TRANSPOSE = "conv2d_transpose";
const char *G_OP_TYPE_PRELU = "prelu";
xiebaiyuan's avatar
xiebaiyuan 已提交
67 68
const char *G_OP_TYPE_LOOKUP_TABLE = "lookup_table";
const char *G_OP_TYPE_GRU = "gru";
Z
zhaojiaying01 已提交
69
const char *G_OP_TYPE_GRU_UNIT = "gru_unit";
xiebaiyuan's avatar
xiebaiyuan 已提交
70
const char *G_OP_TYPE_CRF = "crf_decoding";
71 72 73
const char *G_OP_TYPE_BILINEAR_INTERP = "bilinear_interp";
const char *G_OP_TYPE_FLATTEN = "flatten";
const char *G_OP_TYPE_SHAPE = "shape";
E
eclipsess 已提交
74
const char *G_OP_TYPE_SUM = "sum";
H
hjchen2 已提交
75 76
const char *G_OP_TYPE_TOP_K = "top_k";
const char *G_OP_TYPE_CAST = "cast";
77 78
const char *G_OP_TYPE_LOG = "log";
const char *G_OP_TYPE_LOD_RESET = "lod_reset";
79
const char *G_OP_TYPE_LESS_THAN = "less_than";
80 81 82 83
const char *G_OP_TYPE_LOGICAL_AND = "logical_and";
const char *G_OP_TYPE_LOGICAL_OR = "logical_or";
const char *G_OP_TYPE_LOGICAL_NOT = "logical_not";
const char *G_OP_TYPE_LOGICAL_XOR = "logical_xor";
84 85
const char *G_OP_TYPE_WRITE_TO_ARRAY = "write_to_array";
const char *G_OP_TYPE_READ_FROM_ARRAY = "read_from_array";
Z
zhaojiaying01 已提交
86 87
const char *G_OP_TYPE_IS_EMPTY = "is_empty";
const char *G_OP_TYPE_INCREMENT = "increment";
L
liuruilong 已提交
88

89 90
const char *G_OP_TYPE_QUANTIZE = "quantize";
const char *G_OP_TYPE_DEQUANTIZE = "dequantize";
91
const char *G_OP_TYPE_FUSION_DEQUANT_BN = "fusion_dequant_bn";
92 93
const char *G_OP_TYPE_FUSION_DEQUANT_ADD_BN = "fusion_dequant_add_bn";
const char *G_OP_TYPE_FUSION_DEQUANT_BN_RELU = "fusion_dequant_bn_relu";
H
hjchen2 已提交
94
const char *G_OP_TYPE_FUSION_DEQUANT_ADD_BN_RELU = "fusion_dequant_add_bn_relu";
95 96 97 98
const char *G_OP_TYPE_FUSION_DEQUANT_ADD_BN_QUANT =
    "fusion_dequant_add_bn_quant";
const char *G_OP_TYPE_FUSION_DEQUANT_ADD_BN_RELU_QUANT =
    "fusion_dequant_add_bn_relu_quant";
H
hjchen2 已提交
99

Z
zhangyang 已提交
100 101 102 103
const char *G_OP_TYPE_TANH = "tanh";
const char *G_OP_TYPE_FUSION_DECONV_RELU = "fusion_deconv_relu";
const char *G_OP_TYPE_FUSION_DECONV_ADD = "fusion_deconv_add";
const char *G_OP_TYPE_FUSION_DECONV_ADD_RELU = "fusion_deconv_add_relu";
104

105 106
const char *G_OP_TYPE_SEQUENCE_EXPAND = "sequence_expand";
const char *G_OP_TYPE_SEQUENCE_POOL = "sequence_pool";
H
hjchen2 已提交
107
const char *G_OP_TYPE_SEQUENCE_SOFTMAX = "sequence_softmax";
108

109 110 111 112
const char *G_OP_TYPE_SLICE = "slice";
const char *G_OP_TYPE_ANCHOR_GENERATOR = "anchor_generator";
const char *G_OP_TYPE_GENERATE_PROPOSALS = "generate_proposals";
const char *G_OP_TYPE_PSROI_POOL = "psroi_pool";
H
hjchen2 已提交
113
const char *G_OP_TYPE_ROI_PERSPECTIVE = "roi_perspective_transform";
114

L
liuruilong 已提交
115
std::unordered_map<
L
liuruilong 已提交
116 117
    std::string, std::pair<std::vector<std::string>, std::vector<std::string>>>
    op_input_output_key = {
L
liuruilong 已提交
118
        {G_OP_TYPE_CONV, {{"Input"}, {"Output"}}},
119 120
        {G_OP_TYPE_FUSION_DWCONV_BN_RELU, {{"Input"}, {"Out"}}},
        {G_OP_TYPE_FUSION_CONV_BN_RELU, {{"Input"}, {"Out"}}},
121
        {G_OP_TYPE_PRELU, {{"X", "Alpha"}, {"Out"}}},
E
eclipsess 已提交
122
        {G_OP_TYPE_FUSION_CONV_ADD, {{"Input"}, {"Out"}}},
L
liuruilong 已提交
123
        {G_OP_TYPE_RELU, {{"X"}, {"Out"}}},
124
        {G_OP_TYPE_RELU6, {{"X"}, {"Out"}}},
L
liuruilong 已提交
125
        {G_OP_TYPE_SOFTMAX, {{"X"}, {"Out"}}},
E
eclipsess 已提交
126
        {G_OP_TYPE_SIGMOID, {{"X"}, {"Out"}}},
L
liuruilong 已提交
127 128
        {G_OP_TYPE_MUL, {{"X"}, {"Out"}}},
        {G_OP_TYPE_ELEMENTWISE_ADD, {{"X", "Y"}, {"Out"}}},
129 130
        {G_OP_TYPE_ELEMENTWISE_SUB, {{"X", "Y"}, {"Out"}}},
        {G_OP_TYPE_ELEMENTWISE_MUL, {{"X", "Y"}, {"Out"}}},
L
liuruilong 已提交
131 132 133 134 135 136 137 138
        {G_OP_TYPE_POOL2D, {{"X"}, {"Out"}}},
        {G_OP_TYPE_BATCHNORM, {{"X"}, {"Y"}}},
        {G_OP_TYPE_LRN, {{"X"}, {"Out"}}},
        {G_OP_TYPE_CONCAT, {{"X"}, {"Out"}}},
        {G_OP_TYPE_SPLIT, {{"X"}, {"Out"}}},
        {G_OP_TYPE_FEED, {{"X"}, {"Out"}}},
        {G_OP_TYPE_FETCH, {{"X"}, {"Out"}}},
        {G_OP_TYPE_TRANSPOSE, {{"X"}, {"Out"}}},
L
lijiancheng0614 已提交
139
        {G_OP_TYPE_TRANSPOSE2, {{"X"}, {"Out", "XShape"}}},
L
liuruilong 已提交
140
        {G_OP_TYPE_BOX_CODER,
L
liuruilong 已提交
141
         {{"PriorBox", "PriorBoxVar", "TargetBox"}, {"OutputBox"}}},
E
format  
eclipsess 已提交
142
        {G_OP_TYPE_FUSION_CONV_ADD_BN_RELU, {{"Input"}, {"Out"}}},
143
        {G_OP_TYPE_FUSION_CONV_BN_ADD_RELU, {{"Input"}, {"Out"}}},
L
liuruilong 已提交
144 145
        {G_OP_TYPE_PRIOR_BOX, {{"Image", "Input"}, {"Boxes", "Variances"}}},
        {G_OP_TYPE_MULTICLASS_NMS, {{"BBoxes", "Scores"}, {"Out"}}},
L
lijiancheng0614 已提交
146
        {G_OP_TYPE_POLYGON_BOX_TRANSFORM, {{"Input"}, {"Output"}}},
L
liuruilong 已提交
147 148
        {G_OP_TYPE_FC, {{"X", "Y", "Z"}, {"Out"}}},
        {G_OP_TYPE_RESHAPE, {{"X"}, {"Out"}}},
L
lijiancheng0614 已提交
149
        {G_OP_TYPE_RESHAPE2, {{"X"}, {"Out", "XShape"}}},
L
liuruilong 已提交
150
        {G_OP_TYPE_DEPTHWISE_CONV, {{"Input"}, {"Output"}}},
L
lijiancheng0614 已提交
151
        {G_OP_TYPE_FILL_CONSTANT, {{}, {"Out"}}},
152
        {G_OP_TYPE_FUSION_CONV_ADD_RELU, {{"Input"}, {"Out"}}},
153 154
        {G_OP_TYPE_FUSION_CONV_ADD_PRELU, {{"Input"}, {"Out"}}},
        {G_OP_TYPE_FUSION_CONV_ADD_ADD_PRELU, {{"Input"}, {"Out"}}},
Y
Yao,kun 已提交
155
        {G_OP_TYPE_IM2SEQUENCE, {{"X"}, {"Out"}}},
Z
zhangyang 已提交
156
        {G_OP_TYPE_DROPOUT, {{"X"}, {"Out"}}},
qnqinan's avatar
qnqinan 已提交
157 158
        {G_OP_TYPE_FUSION_CONV_ADD_BN, {{"Input"}, {"Y"}}},
        {G_OP_TYPE_FUSION_POOL_BN, {{"X"}, {"Y"}}},
Z
zhangyang 已提交
159
        {G_OP_TYPE_FUSION_ELEMENTWISE_ADD_RELU, {{"X", "Y"}, {"Out"}}},
160
        {G_OP_TYPE_FUSION_FC_RELU, {{"X", "Y", "Z"}, {"Out"}}},
qnqinan's avatar
qnqinan 已提交
161
        {G_OP_TYPE_REGION, {{"X"}, {"Out"}}},
162
        {G_OP_TYPE_FUSION_CONV_BN, {{"Input"}, {"Y"}}},
xiebaiyuan's avatar
xiebaiyuan 已提交
163 164 165 166
        {G_OP_TYPE_LOOKUP_TABLE, {{"W", "Ids"}, {"Out"}}},
        {G_OP_TYPE_GRU,
         {{"Input", "H0", "Weight", "Bias"},
          {"BatchGate", "BatchResetHiddenPrev", "BatchHidden", "Hidden"}}},
Z
zhaojiaying01 已提交
167 168 169
        {G_OP_TYPE_GRU_UNIT,
         {{"Input", "HiddenPrev", "Weight", "Bias"},
          {"Gate", "ResetHiddenPrev", "Hidden"}}},
xiebaiyuan's avatar
xiebaiyuan 已提交
170
        {G_OP_TYPE_CRF, {{"Emission", "Transition", "Label"}, {"ViterbiPath"}}},
171 172 173
        {G_OP_TYPE_BILINEAR_INTERP, {{"OutSize", "X"}, {"Out"}}},
        {G_OP_TYPE_FLATTEN, {{"X"}, {"Out"}}},
        {G_OP_TYPE_SHAPE, {{"Input"}, {"Out"}}},
174
        {G_OP_TYPE_CONV_TRANSPOSE, {{"Input"}, {"Output"}}},
E
eclipsess 已提交
175
        {G_OP_TYPE_SUM, {{"X"}, {"Out"}}},
H
hjchen2 已提交
176 177
        {G_OP_TYPE_TOP_K, {{"X"}, {"Out", "Indices"}}},
        {G_OP_TYPE_CAST, {{"X"}, {"Out"}}},
178
        {G_OP_TYPE_QUANTIZE, {{"X"}, {"Out", "OutScale"}}},
Z
zhangyang 已提交
179
        {G_OP_TYPE_DEQUANTIZE, {{"X", "Scale"}, {"Out"}}},
180 181
        {G_OP_TYPE_FUSION_DEQUANT_BN, {{"X", "Scale"}, {"Out"}}},
        {G_OP_TYPE_FUSION_DEQUANT_ADD_BN, {{"X", "Scale"}, {"Out"}}},
182
        {G_OP_TYPE_FUSION_DEQUANT_BN_RELU, {{"X", "Scale"}, {"Out"}}},
H
hjchen2 已提交
183
        {G_OP_TYPE_FUSION_DEQUANT_ADD_BN_RELU, {{"X", "Scale"}, {"Out"}}},
184 185 186 187
        {G_OP_TYPE_FUSION_DEQUANT_ADD_BN_RELU_QUANT,
         {{"X", "Scale"}, {"Out", "OutScale"}}},
        {G_OP_TYPE_FUSION_DEQUANT_ADD_BN_QUANT,
         {{"X", "Scale"}, {"Out", "OutScale"}}},
Z
zhangyang 已提交
188
        {G_OP_TYPE_TANH, {{"X"}, {"Out"}}},
qnqinan's avatar
qnqinan 已提交
189 190
        {G_OP_TYPE_FUSION_DECONV_RELU, {{"Input"}, {"Out"}}},
        {G_OP_TYPE_FUSION_DECONV_ADD, {{"Input"}, {"Out"}}},
191 192
        {G_OP_TYPE_FUSION_DECONV_ADD_RELU, {{"Input"}, {"Out"}}},
        {G_OP_TYPE_SEQUENCE_EXPAND, {{"X", "Y"}, {"Out"}}},
H
hjchen2 已提交
193
        {G_OP_TYPE_SEQUENCE_POOL, {{"X"}, {"Out"}}},
Z
zhaojiaying01 已提交
194
        {G_OP_TYPE_SEQUENCE_SOFTMAX, {{"X"}, {"Out"}}},
195 196
        {G_OP_TYPE_NORM, {{"X"}, {"Out", "Norm"}}},
        {G_OP_TYPE_LOG, {{"X"}, {"Out"}}},
197
        {G_OP_TYPE_LOD_RESET, {{"X", "Y"}, {"Out"}}},
198 199 200 201
        {G_OP_TYPE_LESS_THAN, {{"X", "Y"}, {"Out"}}},
        {G_OP_TYPE_LOGICAL_AND, {{"X", "Y"}, {"Out"}}},
        {G_OP_TYPE_LOGICAL_OR, {{"X", "Y"}, {"Out"}}},
        {G_OP_TYPE_LOGICAL_XOR, {{"X", "Y"}, {"Out"}}},
202 203
        {G_OP_TYPE_LOGICAL_NOT, {{"X"}, {"Out"}}},
        {G_OP_TYPE_WRITE_TO_ARRAY, {{"X", "I"}, {"Out"}}},
204
        {G_OP_TYPE_READ_FROM_ARRAY, {{"X", "I"}, {"Out"}}},
Z
zhaojiaying01 已提交
205
        {G_OP_TYPE_IS_EMPTY, {{"X"}, {"Out"}}},
206
        {G_OP_TYPE_INCREMENT, {{"X"}, {"Out"}}},
207 208 209 210 211
        {G_OP_TYPE_SLICE, {{"Input"}, {"Out"}}},
        {G_OP_TYPE_ANCHOR_GENERATOR, {{"Input"}, {"Anchors", "Variances"}}},
        {G_OP_TYPE_GENERATE_PROPOSALS,
         {{"Scores", "BboxDeltas", "ImInfo", "Anchors", "Variances"},
          {"RpnRois", "RpnRoiProbs"}}},
H
hjchen2 已提交
212 213
        {G_OP_TYPE_PSROI_POOL, {{"X", "ROIs"}, {"Out"}}},
        {G_OP_TYPE_ROI_PERSPECTIVE, {{"X", "ROIs"}, {"Out"}}}};
L
liuruilong 已提交
214
}  // namespace paddle_mobile