framework.proto 6.3 KB
Newer Older
1
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
Y
Yi Wang 已提交
2 3 4 5 6 7 8 9 10 11 12 13 14 15

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. */

syntax = "proto2";
16
package paddle.framework.proto;
Y
Yi Wang 已提交
17

X
version  
Xin Pan 已提交
18 19 20 21 22
// Any incompatible changes to ProgramDesc and its dependencies should
// raise the version defined version.h.
//
// Serailization and Deserialization codes should be modified in a way
// that supports old versions following the version and compatibility policy.
X
fix  
Xin Pan 已提交
23
message Version { optional int64 version = 1 [ default = 0 ]; }
X
version  
Xin Pan 已提交
24

Y
Yi Wang 已提交
25 26
enum AttrType {
  INT = 0;
27 28 29 30 31 32 33 34 35 36 37
  FLOAT = 1;
  STRING = 2;
  INTS = 3;
  FLOATS = 4;
  STRINGS = 5;
  BOOLEAN = 6;
  BOOLEANS = 7;
  BLOCK = 8;
  LONG = 9;
  BLOCKS = 10;
  LONGS = 11;
38
  FLOAT64S = 12;
39 40
  VAR = 13;
  VARS = 14;
Y
Yi Wang 已提交
41 42 43 44 45 46 47 48 49 50
}

// OpDesc describes an instance of a C++ framework::OperatorBase
// derived class type.
message OpDesc {

  message Attr {
    required string name = 1;
    required AttrType type = 2;
    optional int32 i = 3;
51 52 53 54 55 56 57 58 59
    optional float f = 4;
    optional string s = 5;
    repeated int32 ints = 6;
    repeated float floats = 7;
    repeated string strings = 8;
    optional bool b = 10;
    repeated bool bools = 11;
    optional int32 block_idx = 12;
    optional int64 l = 13;
60
    repeated int32 blocks_idx = 14;
61
    repeated int64 longs = 15;
62
    repeated double float64s = 16;
63 64
    optional string var_name = 17;
    repeated string vars_name = 18;
Y
Yi Wang 已提交
65 66 67
  };

  message Var {
68 69
    required string parameter = 1;
    repeated string arguments = 2;
Y
Yi Wang 已提交
70 71 72 73 74 75
  };

  required string type = 3;
  repeated Var inputs = 1;
  repeated Var outputs = 2;
  repeated Attr attrs = 4;
Y
Yang Yang 已提交
76
  optional bool is_target = 5 [ default = false ];
Y
Yi Wang 已提交
77 78 79 80 81 82 83 84 85
};

// OpProto describes a C++ framework::OperatorBase derived class.
message OpProto {

  // VarProto describes the C++ type framework::Variable.
  message Var {
    required string name = 1;
    required string comment = 2;
Y
Yu Yang 已提交
86

Y
Yi Wang 已提交
87 88
    optional bool duplicable = 3 [ default = false ];
    optional bool intermediate = 4 [ default = false ];
Y
Yang Yang 已提交
89
    optional bool dispensable = 5 [ default = false ];
90 91
    optional bool extra = 6 [ default = false ];
    optional bool quant = 7 [ default = false ];
Y
Yi Wang 已提交
92 93 94 95 96 97 98 99 100 101 102
  }

  // AttrProto describes the C++ type Attribute.
  message Attr {
    required string name = 1;
    required AttrType type = 2;
    required string comment = 3;
    // If that attribute is generated, it means the Paddle third
    // language binding has responsibility to fill that
    // attribute. End-User should not set that attribute.
    optional bool generated = 4 [ default = false ];
103 104
    optional bool extra = 5 [ default = false ];
    optional bool quant = 6 [ default = false ];
Y
Yi Wang 已提交
105 106 107 108 109 110 111 112
  }

  required string type = 1;
  repeated Var inputs = 2;
  repeated Var outputs = 3;
  repeated Attr attrs = 4;
  required string comment = 5;
}
Q
qiaolongfei 已提交
113

114 115
message VarType {
  enum Type {
116 117 118 119 120 121 122 123
    // Pod Types
    BOOL = 0;
    INT16 = 1;
    INT32 = 2;
    INT64 = 3;
    FP16 = 4;
    FP32 = 5;
    FP64 = 6;
Y
yuyang18 已提交
124 125
    // Tensor<size_t> is used in C++.
    SIZE_T = 19;
Y
yuyang18 已提交
126
    UINT8 = 20;
Q
qingqing01 已提交
127
    INT8 = 21;
128
    BF16 = 22;
129 130
    COMPLEX64 = 23;
    COMPLEX128 = 24;
131 132 133 134 135 136 137 138 139 140 141

    // Other types that may need additional descriptions
    LOD_TENSOR = 7;
    SELECTED_ROWS = 8;
    FEED_MINIBATCH = 9;
    FETCH_LIST = 10;
    STEP_SCOPES = 11;
    LOD_RANK_TABLE = 12;
    LOD_TENSOR_ARRAY = 13;
    PLACE_LIST = 14;
    READER = 15;
T
typhoonzero 已提交
142 143
    // Any runtime decided variable type is raw
    // raw variables should manage their own allocations
T
typhoonzero 已提交
144
    // in operators like nccl_op
T
typhoonzero 已提交
145
    RAW = 17;
C
chengduo 已提交
146
    TUPLE = 18;
S
Steffy-zxf 已提交
147 148 149 150 151

    STRING = 25;
    STRINGS = 26;
    VOCAB = 27;
    FEED_LIST = 28;
J
Jack Zhou 已提交
152 153
    // The data type of phi::StringTensor
    PSTRING = 29;
Y
Yu Yang 已提交
154
  }
155 156 157 158

  required Type type = 1;

  message TensorDesc {
159 160
    // Should only be PODType. Is enforced in C++
    required Type data_type = 1;
161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178
    repeated int64 dims = 2; // [UNK, 640, 480] is saved as [-1, 640, 480]
  }
  optional TensorDesc selected_rows = 2;

  message LoDTensorDesc {
    required TensorDesc tensor = 1;
    optional int32 lod_level = 2 [ default = 0 ];
  }
  optional LoDTensorDesc lod_tensor = 3;

  message LoDTensorArrayDesc {
    required TensorDesc tensor = 1;
    optional int32 lod_level = 2 [ default = 0 ];
  }
  optional LoDTensorArrayDesc tensor_array = 4;

  message ReaderDesc { repeated LoDTensorDesc lod_tensor = 1; }
  optional ReaderDesc reader = 5;
179

C
chengduo 已提交
180 181
  message Tuple { repeated Type element_type = 1; }
  optional Tuple tuple = 7;
S
Steffy-zxf 已提交
182 183 184 185

  optional TensorDesc string = 8;
  optional TensorDesc strings = 9;
  optional TensorDesc vocab = 10;
186 187 188
}

message VarDesc {
189 190 191 192 193 194 195 196 197

  message Attr {
    required string name = 1;
    required AttrType type = 2;
    optional int32 i = 3;
    optional string s = 4;
    repeated int32 ints = 5;
  };

Q
qiaolongfei 已提交
198
  required string name = 1;
Y
Yu Yang 已提交
199
  required VarType type = 2;
F
fengjiayi 已提交
200
  optional bool persistable = 3 [ default = false ];
H
Huihuang Zheng 已提交
201 202 203
  // True if the variable is an input data and
  // have to check the feed data shape and dtype
  optional bool need_check_feed = 4 [ default = false ];
204 205
  optional bool is_parameter = 5 [ default = false ];
  optional bool stop_gradient = 6 [ default = false ];
206
  repeated Attr attrs = 7;
Q
qiaolongfei 已提交
207
}
208 209 210 211 212 213

message BlockDesc {
  required int32 idx = 1;
  required int32 parent_idx = 2;
  repeated VarDesc vars = 3;
  repeated OpDesc ops = 4;
Y
Yu Yang 已提交
214
  optional int32 forward_block_idx = 5 [ default = -1 ];
215 216
}

217 218 219 220 221
// In some cases, Paddle may perform operator definition iterations,
// and the operator uses OpVersionMap for compatibility testing.
message OpVersion { required int32 version = 1; }
message OpVersionMap {
  message OpVersionPair {
222
    required string op_name = 1;
223
    required OpVersion op_version = 2;
224
  }
225
  repeated OpVersionPair pair = 1;
226 227
}

Y
Yi Wang 已提交
228 229 230
// Please refer to
// https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/program.md
// for more details.
231 232
// TODO(panyx0718): A model can have multiple programs. Need a
// way to distinguish them. Maybe ID or name?
X
version  
Xin Pan 已提交
233
message ProgramDesc {
234
  reserved 2, 3; // For backward compatibility.
X
version  
Xin Pan 已提交
235
  repeated BlockDesc blocks = 1;
236
  optional Version version = 4;
237
  optional OpVersionMap op_version_map = 5;
X
version  
Xin Pan 已提交
238
}