types.cpp 8.9 KB
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/* 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"
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#include <vector>
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namespace paddle_mobile {

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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";
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const char *G_OP_TYPE_ELEMENTWISE_SUB = "elementwise_sub";
const char *G_OP_TYPE_ELEMENTWISE_MUL = "elementwise_mul";
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const char *G_OP_TYPE_FILL_CONSTANT = "fill_constant";
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const char *G_OP_TYPE_FUSION_CONV_ADD_RELU = "fusion_conv_add_relu";
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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";
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const char *G_OP_TYPE_FUSION_CONV_ADD_BN_RELU = "fusion_conv_add_bn_relu";
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const char *G_OP_TYPE_FUSION_CONV_BN_ADD_RELU = "fusion_conv_bn_add_relu";
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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";
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const char *G_OP_TYPE_NORM = "norm";
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const char *G_OP_TYPE_POLYGON_BOX_TRANSFORM = "polygon_box_transform";
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const char *G_OP_TYPE_POOL2D = "pool2d";
const char *G_OP_TYPE_PRIOR_BOX = "prior_box";
const char *G_OP_TYPE_RELU = "relu";
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const char *G_OP_TYPE_RELU6 = "relu6";
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const char *G_OP_TYPE_RESHAPE = "reshape";
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const char *G_OP_TYPE_RESHAPE2 = "reshape2";
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const char *G_OP_TYPE_SIGMOID = "sigmoid";
const char *G_OP_TYPE_SOFTMAX = "softmax";
const char *G_OP_TYPE_TRANSPOSE = "transpose";
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const char *G_OP_TYPE_TRANSPOSE2 = "transpose2";
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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 =
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    "fusion_elementwise_add_relu";
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const char *G_OP_TYPE_FUSION_FC_RELU = "fusion_fc_relu";
const char *G_OP_TYPE_REGION = "region";
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const char *G_OP_TYPE_FUSION_CONV_BN = "fusion_conv_bn";
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const char *G_OP_TYPE_CONV_TRANSPOSE = "conv2d_transpose";
const char *G_OP_TYPE_PRELU = "prelu";
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const char *G_OP_TYPE_LOOKUP_TABLE = "lookup_table";
const char *G_OP_TYPE_GRU = "gru";
const char *G_OP_TYPE_CRF = "crf_decoding";
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const char *G_OP_TYPE_BILINEAR_INTERP = "bilinear_interp";
const char *G_OP_TYPE_FLATTEN = "flatten";
const char *G_OP_TYPE_SHAPE = "shape";
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const char *G_OP_TYPE_SUM = "sum";
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const char *G_OP_TYPE_TOP_K = "top_k";
const char *G_OP_TYPE_CAST = "cast";
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const char *G_OP_TYPE_LOG = "log";
const char *G_OP_TYPE_LOD_RESET = "lod_reset";
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const char *G_OP_TYPE_LESS_THAN = "less_than";
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const char *G_OP_TYPE_QUANTIZE = "quantize";
const char *G_OP_TYPE_DEQUANTIZE = "dequantize";
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const char *G_OP_TYPE_FUSION_DEQUANT_BN = "fusion_dequant_bn";
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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";
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const char *G_OP_TYPE_FUSION_DEQUANT_ADD_BN_RELU = "fusion_dequant_add_bn_relu";
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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";
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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";
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const char *G_OP_TYPE_SEQUENCE_EXPAND = "sequence_expand";
const char *G_OP_TYPE_SEQUENCE_POOL = "sequence_pool";
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const char *G_OP_TYPE_SEQUENCE_SOFTMAX = "sequence_softmax";
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std::unordered_map<
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    std::string, std::pair<std::vector<std::string>, std::vector<std::string>>>
    op_input_output_key = {
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        {G_OP_TYPE_CONV, {{"Input"}, {"Output"}}},
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        {G_OP_TYPE_FUSION_DWCONV_BN_RELU, {{"Input"}, {"Out"}}},
        {G_OP_TYPE_FUSION_CONV_BN_RELU, {{"Input"}, {"Out"}}},
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        {G_OP_TYPE_PRELU, {{"X", "Alpha"}, {"Out"}}},
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        {G_OP_TYPE_FUSION_CONV_ADD, {{"Input"}, {"Out"}}},
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        {G_OP_TYPE_RELU, {{"X"}, {"Out"}}},
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        {G_OP_TYPE_RELU6, {{"X"}, {"Out"}}},
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        {G_OP_TYPE_SOFTMAX, {{"X"}, {"Out"}}},
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        {G_OP_TYPE_SIGMOID, {{"X"}, {"Out"}}},
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        {G_OP_TYPE_MUL, {{"X"}, {"Out"}}},
        {G_OP_TYPE_ELEMENTWISE_ADD, {{"X", "Y"}, {"Out"}}},
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        {G_OP_TYPE_ELEMENTWISE_SUB, {{"X", "Y"}, {"Out"}}},
        {G_OP_TYPE_ELEMENTWISE_MUL, {{"X", "Y"}, {"Out"}}},
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        {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"}}},
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        {G_OP_TYPE_TRANSPOSE2, {{"X"}, {"Out", "XShape"}}},
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        {G_OP_TYPE_BOX_CODER,
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         {{"PriorBox", "PriorBoxVar", "TargetBox"}, {"OutputBox"}}},
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        {G_OP_TYPE_FUSION_CONV_ADD_BN_RELU, {{"Input"}, {"Out"}}},
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        {G_OP_TYPE_FUSION_CONV_BN_ADD_RELU, {{"Input"}, {"Out"}}},
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        {G_OP_TYPE_PRIOR_BOX, {{"Image", "Input"}, {"Boxes", "Variances"}}},
        {G_OP_TYPE_MULTICLASS_NMS, {{"BBoxes", "Scores"}, {"Out"}}},
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        {G_OP_TYPE_POLYGON_BOX_TRANSFORM, {{"Input"}, {"Output"}}},
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        {G_OP_TYPE_FC, {{"X", "Y", "Z"}, {"Out"}}},
        {G_OP_TYPE_RESHAPE, {{"X"}, {"Out"}}},
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        {G_OP_TYPE_RESHAPE2, {{"X"}, {"Out", "XShape"}}},
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        {G_OP_TYPE_DEPTHWISE_CONV, {{"Input"}, {"Output"}}},
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        {G_OP_TYPE_FILL_CONSTANT, {{}, {"Out"}}},
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        {G_OP_TYPE_FUSION_CONV_ADD_RELU, {{"Input"}, {"Out"}}},
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        {G_OP_TYPE_FUSION_CONV_ADD_PRELU, {{"Input"}, {"Out"}}},
        {G_OP_TYPE_FUSION_CONV_ADD_ADD_PRELU, {{"Input"}, {"Out"}}},
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        {G_OP_TYPE_IM2SEQUENCE, {{"X"}, {"Out"}}},
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        {G_OP_TYPE_DROPOUT, {{"X"}, {"Out"}}},
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        {G_OP_TYPE_FUSION_CONV_ADD_BN, {{"Input"}, {"Y"}}},
        {G_OP_TYPE_FUSION_POOL_BN, {{"X"}, {"Y"}}},
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        {G_OP_TYPE_FUSION_ELEMENTWISE_ADD_RELU, {{"X", "Y"}, {"Out"}}},
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        {G_OP_TYPE_FUSION_FC_RELU, {{"X", "Y", "Z"}, {"Out"}}},
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        {G_OP_TYPE_REGION, {{"X"}, {"Out"}}},
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        {G_OP_TYPE_FUSION_CONV_BN, {{"Input"}, {"Y"}}},
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        {G_OP_TYPE_LOOKUP_TABLE, {{"W", "Ids"}, {"Out"}}},
        {G_OP_TYPE_GRU,
         {{"Input", "H0", "Weight", "Bias"},
          {"BatchGate", "BatchResetHiddenPrev", "BatchHidden", "Hidden"}}},
        {G_OP_TYPE_CRF, {{"Emission", "Transition", "Label"}, {"ViterbiPath"}}},
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        {G_OP_TYPE_BILINEAR_INTERP, {{"OutSize", "X"}, {"Out"}}},
        {G_OP_TYPE_FLATTEN, {{"X"}, {"Out"}}},
        {G_OP_TYPE_SHAPE, {{"Input"}, {"Out"}}},
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        {G_OP_TYPE_CONV_TRANSPOSE, {{"Input"}, {"Output"}}},
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        {G_OP_TYPE_SUM, {{"X"}, {"Out"}}},
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        {G_OP_TYPE_TOP_K, {{"X"}, {"Out", "Indices"}}},
        {G_OP_TYPE_CAST, {{"X"}, {"Out"}}},
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        {G_OP_TYPE_QUANTIZE, {{"X"}, {"Out", "OutScale"}}},
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        {G_OP_TYPE_DEQUANTIZE, {{"X", "Scale"}, {"Out"}}},
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        {G_OP_TYPE_FUSION_DEQUANT_BN, {{"X", "Scale"}, {"Out"}}},
        {G_OP_TYPE_FUSION_DEQUANT_ADD_BN, {{"X", "Scale"}, {"Out"}}},
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        {G_OP_TYPE_FUSION_DEQUANT_BN_RELU, {{"X", "Scale"}, {"Out"}}},
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        {G_OP_TYPE_FUSION_DEQUANT_ADD_BN_RELU, {{"X", "Scale"}, {"Out"}}},
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        {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"}}},
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        {G_OP_TYPE_TANH, {{"X"}, {"Out"}}},
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        {G_OP_TYPE_FUSION_DECONV_RELU, {{"Input"}, {"Out"}}},
        {G_OP_TYPE_FUSION_DECONV_ADD, {{"Input"}, {"Out"}}},
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        {G_OP_TYPE_FUSION_DECONV_ADD_RELU, {{"Input"}, {"Out"}}},
        {G_OP_TYPE_SEQUENCE_EXPAND, {{"X", "Y"}, {"Out"}}},
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        {G_OP_TYPE_SEQUENCE_POOL, {{"X"}, {"Out"}}},
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        {G_OP_TYPE_SEQUENCE_SOFTMAX, {{"X"}, {"Out"}}},
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        {G_OP_TYPE_NORM, {{"X"}, {"Out", "Norm"}}},
        {G_OP_TYPE_LOG, {{"X"}, {"Out"}}},
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        {G_OP_TYPE_LOD_RESET, {{"X", "Y"}, {"Out"}}},
        {G_OP_TYPE_LESS_THAN, {{"X", "Y"}, {"Out"}}}};
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}  // namespace paddle_mobile