Merge pull request #996 from xiebaiyuan/develop

add some python tools for paddlemobile

python/tools/mdl2fluid/float2halffloat.py

+# encoding:utf-8
+import math
+import re
+
+
+def Real2HalfFloat(data):
+    MINNUM = -65536
+    MAXNUM = 65535
+    FloatVal = 0
+    if data:
+        if data < MINNUM:
+            data = MINNUM
+        if data > MAXNUM:
+            data = MAXNUM
+
+        sign = 0
+        if data < 0:
+            sign = 1
+            data = -data
+
+        exp = math.floor((math.log2(data)))
+        expout = exp + 16
+
+        Mantial = round(data / pow(2, exp - 10)) - 1024
+
+        if expout <= 0:
+            FloatVal = 0
+        else:
+            FloatVal = sign * 32768 + expout * 1024 + Mantial
+    return FloatVal
+
+
+def ReadCfloatData(sourcefile):
+    input = []
+    with open(sourcfile, 'r') as f:
+        for line in f.readlines():
+            line = line.strip()
+            line = re.sub('\s+', ' ', line)  # 两个数字间多个空格
+            input.append(line.split(' '))
+    destfile = sourcefile.replace('.dat', '')
+    destfile = destfile.replace('.txt', '')
+    destfile += 'Out.dat'
+    with open(destfile, 'w') as fw:
+        for i in range(len(input)):
+            if len(input[i]) == 2:
+                real = Real2HalfFloat(float(input[i][0]))
+                imag = Real2HalfFloat(float(input[i][1]))
+                result = real * 65536 + imag
+                if imag and not real:
+                    fw.write('0x0000' + "%X" % result + '\n')
+                elif not imag and not real:
+                    fw.write('0x00000000' + '\n')
+                else:
+                    fw.write('0x' + "%X" % result + '\n')
+            elif len(input[i]) == 1:
+                result = Real2HalfFloat(float(input[i][0]))
+                if result:
+                    fw.write('0x' + "%X" % result + '\n')
+                else:
+                    fw.write('0x0000' + '\n')
+
+
+if __name__ == '__main__':
+    print('Tips: Input number 0 if you want to exit!\n')
+    while True:
+        sourcfile = input("input source file:\n")
+        if sourcfile is '0':
+            break
+        ReadCfloatData(sourcfile)
+        print('Transfer Success!')

python/tools/mdl2fluid/framework.proto

+/* Copyright (c) 2016 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. */
+
+syntax = "proto2";
+option optimize_for = LITE_RUNTIME;
+package paddle_mobile.framework.proto;
+
+enum AttrType {
+  INT = 0;
+  FLOAT = 1;
+  STRING = 2;
+  INTS = 3;
+  FLOATS = 4;
+  STRINGS = 5;
+  BOOLEAN = 6;
+  BOOLEANS = 7;
+  BLOCK = 8;
+  LONG = 9;
+}
+
+// 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;
+    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;
+  };
+
+  message Var {
+    required string parameter = 1;
+    repeated string arguments = 2;
+  };
+
+  required string type = 3;
+  repeated Var inputs = 1;
+  repeated Var outputs = 2;
+  repeated Attr attrs = 4;
+  optional bool is_target = 5 [ default = false ];
+};
+
+// 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;
+
+    optional bool duplicable = 3 [ default = false ];
+    optional bool intermediate = 4 [ default = false ];
+    optional bool dispensable = 5 [ default = false ];
+  }
+
+  // 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 ];
+  }
+
+  required string type = 1;
+  repeated Var inputs = 2;
+  repeated Var outputs = 3;
+  repeated Attr attrs = 4;
+  required string comment = 5;
+}
+
+message VarType {
+  enum Type {
+    // Pod Types
+    BOOL = 0;
+    INT16 = 1;
+    INT32 = 2;
+    INT64 = 3;
+    FP16 = 4;
+    FP32 = 5;
+    FP64 = 6;
+
+    // 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;
+    CHANNEL = 16;
+    // Any runtime decided variable type is raw
+    // raw variables should manage their own allocations
+    // in operators like nccl_op
+    RAW = 17;
+    TUPLE = 18;
+  }
+
+  required Type type = 1;
+
+  message TensorDesc {
+    // Should only be PODType. Is enforced in C++
+    required Type data_type = 1;
+    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;
+
+  message ChannelDesc {
+    required Type data_type = 1;
+    required int64 capacity = 2;
+  }
+  optional ChannelDesc channel = 6;
+
+  message Tuple { repeated Type element_type = 1; }
+  optional Tuple tuple = 7;
+}
+
+message VarDesc {
+  required string name = 1;
+  required VarType type = 2;
+  optional bool persistable = 3 [ default = false ];
+}
+
+message BlockDesc {
+  required int32 idx = 1;
+  required int32 parent_idx = 2;
+  repeated VarDesc vars = 3;
+  repeated OpDesc ops = 4;
+  optional int32 forward_block_idx = 5 [ default = -1 ];
+}
+
+// Please refer to
+// https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/program.md
+// for more details.
+// TODO(panyx0718): A model can have multiple programs. Need a
+// way to distinguish them. Maybe ID or name?
+message ProgramDesc { repeated BlockDesc blocks = 1; }

python/tools/mdl2fluid/framework_pb2.py

+# Generated by the protocol buffer compiler.  DO NOT EDIT!
+# source: framework.proto
+
+import sys
+_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
+from google.protobuf.internal import enum_type_wrapper
+from google.protobuf import descriptor as _descriptor
+from google.protobuf import message as _message
+from google.protobuf import reflection as _reflection
+from google.protobuf import symbol_database as _symbol_database
+from google.protobuf import descriptor_pb2
+# @@protoc_insertion_point(imports)
+
+_sym_db = _symbol_database.Default()
+
+
+
+
+DESCRIPTOR = _descriptor.FileDescriptor(
+  name='framework.proto',
+  package='paddle_mobile.framework.proto',
+  syntax='proto2',
+  serialized_pb=_b('\n\x0f\x66ramework.proto\x12\x1dpaddle_mobile.framework.proto\"\xe5\x03\n\x06OpDesc\x12\x0c\n\x04type\x18\x03 \x02(\t\x12\x39\n\x06inputs\x18\x01 \x03(\x0b\x32).paddle_mobile.framework.proto.OpDesc.Var\x12:\n\x07outputs\x18\x02 \x03(\x0b\x32).paddle_mobile.framework.proto.OpDesc.Var\x12\x39\n\x05\x61ttrs\x18\x04 \x03(\x0b\x32*.paddle_mobile.framework.proto.OpDesc.Attr\x12\x18\n\tis_target\x18\x05 \x01(\x08:\x05\x66\x61lse\x1a\xd3\x01\n\x04\x41ttr\x12\x0c\n\x04name\x18\x01 \x02(\t\x12\x35\n\x04type\x18\x02 \x02(\x0e\x32\'.paddle_mobile.framework.proto.AttrType\x12\t\n\x01i\x18\x03 \x01(\x05\x12\t\n\x01\x66\x18\x04 \x01(\x02\x12\t\n\x01s\x18\x05 \x01(\t\x12\x0c\n\x04ints\x18\x06 \x03(\x05\x12\x0e\n\x06\x66loats\x18\x07 \x03(\x02\x12\x0f\n\x07strings\x18\x08 \x03(\t\x12\t\n\x01\x62\x18\n \x01(\x08\x12\r\n\x05\x62ools\x18\x0b \x03(\x08\x12\x11\n\tblock_idx\x18\x0c \x01(\x05\x12\t\n\x01l\x18\r \x01(\x03\x1a+\n\x03Var\x12\x11\n\tparameter\x18\x01 \x02(\t\x12\x11\n\targuments\x18\x02 \x03(\t\"\xcf\x03\n\x07OpProto\x12\x0c\n\x04type\x18\x01 \x02(\t\x12:\n\x06inputs\x18\x02 \x03(\x0b\x32*.paddle_mobile.framework.proto.OpProto.Var\x12;\n\x07outputs\x18\x03 \x03(\x0b\x32*.paddle_mobile.framework.proto.OpProto.Var\x12:\n\x05\x61ttrs\x18\x04 \x03(\x0b\x32+.paddle_mobile.framework.proto.OpProto.Attr\x12\x0f\n\x07\x63omment\x18\x05 \x02(\t\x1ax\n\x03Var\x12\x0c\n\x04name\x18\x01 \x02(\t\x12\x0f\n\x07\x63omment\x18\x02 \x02(\t\x12\x19\n\nduplicable\x18\x03 \x01(\x08:\x05\x66\x61lse\x12\x1b\n\x0cintermediate\x18\x04 \x01(\x08:\x05\x66\x61lse\x12\x1a\n\x0b\x64ispensable\x18\x05 \x01(\x08:\x05\x66\x61lse\x1av\n\x04\x41ttr\x12\x0c\n\x04name\x18\x01 \x02(\t\x12\x35\n\x04type\x18\x02 \x02(\x0e\x32\'.paddle_mobile.framework.proto.AttrType\x12\x0f\n\x07\x63omment\x18\x03 \x02(\t\x12\x18\n\tgenerated\x18\x04 \x01(\x08:\x05\x66\x61lse\"\xb9\n\n\x07VarType\x12\x39\n\x04type\x18\x01 \x02(\x0e\x32+.paddle_mobile.framework.proto.VarType.Type\x12H\n\rselected_rows\x18\x02 \x01(\x0b\x32\x31.paddle_mobile.framework.proto.VarType.TensorDesc\x12H\n\nlod_tensor\x18\x03 \x01(\x0b\x32\x34.paddle_mobile.framework.proto.VarType.LoDTensorDesc\x12O\n\x0ctensor_array\x18\x04 \x01(\x0b\x32\x39.paddle_mobile.framework.proto.VarType.LoDTensorArrayDesc\x12\x41\n\x06reader\x18\x05 \x01(\x0b\x32\x31.paddle_mobile.framework.proto.VarType.ReaderDesc\x12\x43\n\x07\x63hannel\x18\x06 \x01(\x0b\x32\x32.paddle_mobile.framework.proto.VarType.ChannelDesc\x12;\n\x05tuple\x18\x07 \x01(\x0b\x32,.paddle_mobile.framework.proto.VarType.Tuple\x1aZ\n\nTensorDesc\x12>\n\tdata_type\x18\x01 \x02(\x0e\x32+.paddle_mobile.framework.proto.VarType.Type\x12\x0c\n\x04\x64ims\x18\x02 \x03(\x03\x1ah\n\rLoDTensorDesc\x12\x41\n\x06tensor\x18\x01 \x02(\x0b\x32\x31.paddle_mobile.framework.proto.VarType.TensorDesc\x12\x14\n\tlod_level\x18\x02 \x01(\x05:\x01\x30\x1am\n\x12LoDTensorArrayDesc\x12\x41\n\x06tensor\x18\x01 \x02(\x0b\x32\x31.paddle_mobile.framework.proto.VarType.TensorDesc\x12\x14\n\tlod_level\x18\x02 \x01(\x05:\x01\x30\x1aV\n\nReaderDesc\x12H\n\nlod_tensor\x18\x01 \x03(\x0b\x32\x34.paddle_mobile.framework.proto.VarType.LoDTensorDesc\x1a_\n\x0b\x43hannelDesc\x12>\n\tdata_type\x18\x01 \x02(\x0e\x32+.paddle_mobile.framework.proto.VarType.Type\x12\x10\n\x08\x63\x61pacity\x18\x02 \x02(\x03\x1aJ\n\x05Tuple\x12\x41\n\x0c\x65lement_type\x18\x01 \x03(\x0e\x32+.paddle_mobile.framework.proto.VarType.Type\"\x8e\x02\n\x04Type\x12\x08\n\x04\x42OOL\x10\x00\x12\t\n\x05INT16\x10\x01\x12\t\n\x05INT32\x10\x02\x12\t\n\x05INT64\x10\x03\x12\x08\n\x04\x46P16\x10\x04\x12\x08\n\x04\x46P32\x10\x05\x12\x08\n\x04\x46P64\x10\x06\x12\x0e\n\nLOD_TENSOR\x10\x07\x12\x11\n\rSELECTED_ROWS\x10\x08\x12\x12\n\x0e\x46\x45\x45\x44_MINIBATCH\x10\t\x12\x0e\n\nFETCH_LIST\x10\n\x12\x0f\n\x0bSTEP_SCOPES\x10\x0b\x12\x12\n\x0eLOD_RANK_TABLE\x10\x0c\x12\x14\n\x10LOD_TENSOR_ARRAY\x10\r\x12\x0e\n\nPLACE_LIST\x10\x0e\x12\n\n\x06READER\x10\x0f\x12\x0b\n\x07\x43HANNEL\x10\x10\x12\x07\n\x03RAW\x10\x11\x12\t\n\x05TUPLE\x10\x12\"i\n\x07VarDesc\x12\x0c\n\x04name\x18\x01 \x02(\t\x12\x34\n\x04type\x18\x02 \x02(\x0b\x32&.paddle_mobile.framework.proto.VarType\x12\x1a\n\x0bpersistable\x18\x03 \x01(\x08:\x05\x66\x61lse\"\xb5\x01\n\tBlockDesc\x12\x0b\n\x03idx\x18\x01 \x02(\x05\x12\x12\n\nparent_idx\x18\x02 \x02(\x05\x12\x34\n\x04vars\x18\x03 \x03(\x0b\x32&.paddle_mobile.framework.proto.VarDesc\x12\x32\n\x03ops\x18\x04 \x03(\x0b\x32%.paddle_mobile.framework.proto.OpDesc\x12\x1d\n\x11\x66orward_block_idx\x18\x05 \x01(\x05:\x02-1\"G\n\x0bProgramDesc\x12\x38\n\x06\x62locks\x18\x01 \x03(\x0b\x32(.paddle_mobile.framework.proto.BlockDesc*}\n\x08\x41ttrType\x12\x07\n\x03INT\x10\x00\x12\t\n\x05\x46LOAT\x10\x01\x12\n\n\x06STRING\x10\x02\x12\x08\n\x04INTS\x10\x03\x12\n\n\x06\x46LOATS\x10\x04\x12\x0b\n\x07STRINGS\x10\x05\x12\x0b\n\x07\x42OOLEAN\x10\x06\x12\x0c\n\x08\x42OOLEANS\x10\x07\x12\t\n\x05\x42LOCK\x10\x08\x12\x08\n\x04LONG\x10\tB\x02H\x03')
+)
+_sym_db.RegisterFileDescriptor(DESCRIPTOR)
+
+_ATTRTYPE = _descriptor.EnumDescriptor(
+  name='AttrType',
+  full_name='paddle_mobile.framework.proto.AttrType',
+  filename=None,
+  file=DESCRIPTOR,
+  values=[
+    _descriptor.EnumValueDescriptor(
+      name='INT', index=0, number=0,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='FLOAT', index=1, number=1,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='STRING', index=2, number=2,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='INTS', index=3, number=3,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='FLOATS', index=4, number=4,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='STRINGS', index=5, number=5,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='BOOLEAN', index=6, number=6,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='BOOLEANS', index=7, number=7,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='BLOCK', index=8, number=8,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='LONG', index=9, number=9,
+      options=None,
+      type=None),
+  ],
+  containing_type=None,
+  options=None,
+  serialized_start=2708,
+  serialized_end=2833,
+)
+_sym_db.RegisterEnumDescriptor(_ATTRTYPE)
+
+AttrType = enum_type_wrapper.EnumTypeWrapper(_ATTRTYPE)
+INT = 0
+FLOAT = 1
+STRING = 2
+INTS = 3
+FLOATS = 4
+STRINGS = 5
+BOOLEAN = 6
+BOOLEANS = 7
+BLOCK = 8
+LONG = 9
+
+
+_VARTYPE_TYPE = _descriptor.EnumDescriptor(
+  name='Type',
+  full_name='paddle_mobile.framework.proto.VarType.Type',
+  filename=None,
+  file=DESCRIPTOR,
+  values=[
+    _descriptor.EnumValueDescriptor(
+      name='BOOL', index=0, number=0,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='INT16', index=1, number=1,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='INT32', index=2, number=2,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='INT64', index=3, number=3,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='FP16', index=4, number=4,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='FP32', index=5, number=5,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='FP64', index=6, number=6,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='LOD_TENSOR', index=7, number=7,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='SELECTED_ROWS', index=8, number=8,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='FEED_MINIBATCH', index=9, number=9,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='FETCH_LIST', index=10, number=10,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='STEP_SCOPES', index=11, number=11,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='LOD_RANK_TABLE', index=12, number=12,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='LOD_TENSOR_ARRAY', index=13, number=13,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='PLACE_LIST', index=14, number=14,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='READER', index=15, number=15,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='CHANNEL', index=16, number=16,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='RAW', index=17, number=17,
+      options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='TUPLE', index=18, number=18,
+      options=None,
+      type=None),
+  ],
+  containing_type=None,
+  options=None,
+  serialized_start=2072,
+  serialized_end=2342,
+)
+_sym_db.RegisterEnumDescriptor(_VARTYPE_TYPE)
+
+
+_OPDESC_ATTR = _descriptor.Descriptor(
+  name='Attr',
+  full_name='paddle_mobile.framework.proto.OpDesc.Attr',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='name', full_name='paddle_mobile.framework.proto.OpDesc.Attr.name', index=0,
+      number=1, type=9, cpp_type=9, label=2,
+      has_default_value=False, default_value=_b("").decode('utf-8'),
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='type', full_name='paddle_mobile.framework.proto.OpDesc.Attr.type', index=1,
+      number=2, type=14, cpp_type=8, label=2,
+      has_default_value=False, default_value=0,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='i', full_name='paddle_mobile.framework.proto.OpDesc.Attr.i', index=2,
+      number=3, type=5, cpp_type=1, label=1,
+      has_default_value=False, default_value=0,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='f', full_name='paddle_mobile.framework.proto.OpDesc.Attr.f', index=3,
+      number=4, type=2, cpp_type=6, label=1,
+      has_default_value=False, default_value=float(0),
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='s', full_name='paddle_mobile.framework.proto.OpDesc.Attr.s', index=4,
+      number=5, type=9, cpp_type=9, label=1,
+      has_default_value=False, default_value=_b("").decode('utf-8'),
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='ints', full_name='paddle_mobile.framework.proto.OpDesc.Attr.ints', index=5,
+      number=6, type=5, cpp_type=1, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='floats', full_name='paddle_mobile.framework.proto.OpDesc.Attr.floats', index=6,
+      number=7, type=2, cpp_type=6, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='strings', full_name='paddle_mobile.framework.proto.OpDesc.Attr.strings', index=7,
+      number=8, type=9, cpp_type=9, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='b', full_name='paddle_mobile.framework.proto.OpDesc.Attr.b', index=8,
+      number=10, type=8, cpp_type=7, label=1,
+      has_default_value=False, default_value=False,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='bools', full_name='paddle_mobile.framework.proto.OpDesc.Attr.bools', index=9,
+      number=11, type=8, cpp_type=7, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='block_idx', full_name='paddle_mobile.framework.proto.OpDesc.Attr.block_idx', index=10,
+      number=12, type=5, cpp_type=1, label=1,
+      has_default_value=False, default_value=0,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='l', full_name='paddle_mobile.framework.proto.OpDesc.Attr.l', index=11,
+      number=13, type=3, cpp_type=2, label=1,
+      has_default_value=False, default_value=0,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+  ],
+  extensions=[
+  ],
+  nested_types=[],
+  enum_types=[
+  ],
+  options=None,
+  is_extendable=False,
+  syntax='proto2',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=280,
+  serialized_end=491,
+)
+
+_OPDESC_VAR = _descriptor.Descriptor(
+  name='Var',
+  full_name='paddle_mobile.framework.proto.OpDesc.Var',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='parameter', full_name='paddle_mobile.framework.proto.OpDesc.Var.parameter', index=0,
+      number=1, type=9, cpp_type=9, label=2,
+      has_default_value=False, default_value=_b("").decode('utf-8'),
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='arguments', full_name='paddle_mobile.framework.proto.OpDesc.Var.arguments', index=1,
+      number=2, type=9, cpp_type=9, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+  ],
+  extensions=[
+  ],
+  nested_types=[],
+  enum_types=[
+  ],
+  options=None,
+  is_extendable=False,
+  syntax='proto2',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=493,
+  serialized_end=536,
+)
+
+_OPDESC = _descriptor.Descriptor(
+  name='OpDesc',
+  full_name='paddle_mobile.framework.proto.OpDesc',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='type', full_name='paddle_mobile.framework.proto.OpDesc.type', index=0,
+      number=3, type=9, cpp_type=9, label=2,
+      has_default_value=False, default_value=_b("").decode('utf-8'),
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='inputs', full_name='paddle_mobile.framework.proto.OpDesc.inputs', index=1,
+      number=1, type=11, cpp_type=10, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='outputs', full_name='paddle_mobile.framework.proto.OpDesc.outputs', index=2,
+      number=2, type=11, cpp_type=10, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='attrs', full_name='paddle_mobile.framework.proto.OpDesc.attrs', index=3,
+      number=4, type=11, cpp_type=10, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='is_target', full_name='paddle_mobile.framework.proto.OpDesc.is_target', index=4,
+      number=5, type=8, cpp_type=7, label=1,
+      has_default_value=True, default_value=False,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+  ],
+  extensions=[
+  ],
+  nested_types=[_OPDESC_ATTR, _OPDESC_VAR, ],
+  enum_types=[
+  ],
+  options=None,
+  is_extendable=False,
+  syntax='proto2',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=51,
+  serialized_end=536,
+)
+
+
+_OPPROTO_VAR = _descriptor.Descriptor(
+  name='Var',
+  full_name='paddle_mobile.framework.proto.OpProto.Var',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='name', full_name='paddle_mobile.framework.proto.OpProto.Var.name', index=0,
+      number=1, type=9, cpp_type=9, label=2,
+      has_default_value=False, default_value=_b("").decode('utf-8'),
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='comment', full_name='paddle_mobile.framework.proto.OpProto.Var.comment', index=1,
+      number=2, type=9, cpp_type=9, label=2,
+      has_default_value=False, default_value=_b("").decode('utf-8'),
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='duplicable', full_name='paddle_mobile.framework.proto.OpProto.Var.duplicable', index=2,
+      number=3, type=8, cpp_type=7, label=1,
+      has_default_value=True, default_value=False,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='intermediate', full_name='paddle_mobile.framework.proto.OpProto.Var.intermediate', index=3,
+      number=4, type=8, cpp_type=7, label=1,
+      has_default_value=True, default_value=False,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='dispensable', full_name='paddle_mobile.framework.proto.OpProto.Var.dispensable', index=4,
+      number=5, type=8, cpp_type=7, label=1,
+      has_default_value=True, default_value=False,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+  ],
+  extensions=[
+  ],
+  nested_types=[],
+  enum_types=[
+  ],
+  options=None,
+  is_extendable=False,
+  syntax='proto2',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=762,
+  serialized_end=882,
+)
+
+_OPPROTO_ATTR = _descriptor.Descriptor(
+  name='Attr',
+  full_name='paddle_mobile.framework.proto.OpProto.Attr',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='name', full_name='paddle_mobile.framework.proto.OpProto.Attr.name', index=0,
+      number=1, type=9, cpp_type=9, label=2,
+      has_default_value=False, default_value=_b("").decode('utf-8'),
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='type', full_name='paddle_mobile.framework.proto.OpProto.Attr.type', index=1,
+      number=2, type=14, cpp_type=8, label=2,
+      has_default_value=False, default_value=0,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='comment', full_name='paddle_mobile.framework.proto.OpProto.Attr.comment', index=2,
+      number=3, type=9, cpp_type=9, label=2,
+      has_default_value=False, default_value=_b("").decode('utf-8'),
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='generated', full_name='paddle_mobile.framework.proto.OpProto.Attr.generated', index=3,
+      number=4, type=8, cpp_type=7, label=1,
+      has_default_value=True, default_value=False,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+  ],
+  extensions=[
+  ],
+  nested_types=[],
+  enum_types=[
+  ],
+  options=None,
+  is_extendable=False,
+  syntax='proto2',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=884,
+  serialized_end=1002,
+)
+
+_OPPROTO = _descriptor.Descriptor(
+  name='OpProto',
+  full_name='paddle_mobile.framework.proto.OpProto',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='type', full_name='paddle_mobile.framework.proto.OpProto.type', index=0,
+      number=1, type=9, cpp_type=9, label=2,
+      has_default_value=False, default_value=_b("").decode('utf-8'),
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='inputs', full_name='paddle_mobile.framework.proto.OpProto.inputs', index=1,
+      number=2, type=11, cpp_type=10, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='outputs', full_name='paddle_mobile.framework.proto.OpProto.outputs', index=2,
+      number=3, type=11, cpp_type=10, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='attrs', full_name='paddle_mobile.framework.proto.OpProto.attrs', index=3,
+      number=4, type=11, cpp_type=10, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='comment', full_name='paddle_mobile.framework.proto.OpProto.comment', index=4,
+      number=5, type=9, cpp_type=9, label=2,
+      has_default_value=False, default_value=_b("").decode('utf-8'),
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+  ],
+  extensions=[
+  ],
+  nested_types=[_OPPROTO_VAR, _OPPROTO_ATTR, ],
+  enum_types=[
+  ],
+  options=None,
+  is_extendable=False,
+  syntax='proto2',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=539,
+  serialized_end=1002,
+)
+
+
+_VARTYPE_TENSORDESC = _descriptor.Descriptor(
+  name='TensorDesc',
+  full_name='paddle_mobile.framework.proto.VarType.TensorDesc',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='data_type', full_name='paddle_mobile.framework.proto.VarType.TensorDesc.data_type', index=0,
+      number=1, type=14, cpp_type=8, label=2,
+      has_default_value=False, default_value=0,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='dims', full_name='paddle_mobile.framework.proto.VarType.TensorDesc.dims', index=1,
+      number=2, type=3, cpp_type=2, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+  ],
+  extensions=[
+  ],
+  nested_types=[],
+  enum_types=[
+  ],
+  options=None,
+  is_extendable=False,
+  syntax='proto2',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=1501,
+  serialized_end=1591,
+)
+
+_VARTYPE_LODTENSORDESC = _descriptor.Descriptor(
+  name='LoDTensorDesc',
+  full_name='paddle_mobile.framework.proto.VarType.LoDTensorDesc',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='tensor', full_name='paddle_mobile.framework.proto.VarType.LoDTensorDesc.tensor', index=0,
+      number=1, type=11, cpp_type=10, label=2,
+      has_default_value=False, default_value=None,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='lod_level', full_name='paddle_mobile.framework.proto.VarType.LoDTensorDesc.lod_level', index=1,
+      number=2, type=5, cpp_type=1, label=1,
+      has_default_value=True, default_value=0,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+  ],
+  extensions=[
+  ],
+  nested_types=[],
+  enum_types=[
+  ],
+  options=None,
+  is_extendable=False,
+  syntax='proto2',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=1593,
+  serialized_end=1697,
+)
+
+_VARTYPE_LODTENSORARRAYDESC = _descriptor.Descriptor(
+  name='LoDTensorArrayDesc',
+  full_name='paddle_mobile.framework.proto.VarType.LoDTensorArrayDesc',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='tensor', full_name='paddle_mobile.framework.proto.VarType.LoDTensorArrayDesc.tensor', index=0,
+      number=1, type=11, cpp_type=10, label=2,
+      has_default_value=False, default_value=None,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='lod_level', full_name='paddle_mobile.framework.proto.VarType.LoDTensorArrayDesc.lod_level', index=1,
+      number=2, type=5, cpp_type=1, label=1,
+      has_default_value=True, default_value=0,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+  ],
+  extensions=[
+  ],
+  nested_types=[],
+  enum_types=[
+  ],
+  options=None,
+  is_extendable=False,
+  syntax='proto2',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=1699,
+  serialized_end=1808,
+)
+
+_VARTYPE_READERDESC = _descriptor.Descriptor(
+  name='ReaderDesc',
+  full_name='paddle_mobile.framework.proto.VarType.ReaderDesc',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='lod_tensor', full_name='paddle_mobile.framework.proto.VarType.ReaderDesc.lod_tensor', index=0,
+      number=1, type=11, cpp_type=10, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+  ],
+  extensions=[
+  ],
+  nested_types=[],
+  enum_types=[
+  ],
+  options=None,
+  is_extendable=False,
+  syntax='proto2',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=1810,
+  serialized_end=1896,
+)
+
+_VARTYPE_CHANNELDESC = _descriptor.Descriptor(
+  name='ChannelDesc',
+  full_name='paddle_mobile.framework.proto.VarType.ChannelDesc',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='data_type', full_name='paddle_mobile.framework.proto.VarType.ChannelDesc.data_type', index=0,
+      number=1, type=14, cpp_type=8, label=2,
+      has_default_value=False, default_value=0,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='capacity', full_name='paddle_mobile.framework.proto.VarType.ChannelDesc.capacity', index=1,
+      number=2, type=3, cpp_type=2, label=2,
+      has_default_value=False, default_value=0,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+  ],
+  extensions=[
+  ],
+  nested_types=[],
+  enum_types=[
+  ],
+  options=None,
+  is_extendable=False,
+  syntax='proto2',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=1898,
+  serialized_end=1993,
+)
+
+_VARTYPE_TUPLE = _descriptor.Descriptor(
+  name='Tuple',
+  full_name='paddle_mobile.framework.proto.VarType.Tuple',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='element_type', full_name='paddle_mobile.framework.proto.VarType.Tuple.element_type', index=0,
+      number=1, type=14, cpp_type=8, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+  ],
+  extensions=[
+  ],
+  nested_types=[],
+  enum_types=[
+  ],
+  options=None,
+  is_extendable=False,
+  syntax='proto2',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=1995,
+  serialized_end=2069,
+)
+
+_VARTYPE = _descriptor.Descriptor(
+  name='VarType',
+  full_name='paddle_mobile.framework.proto.VarType',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='type', full_name='paddle_mobile.framework.proto.VarType.type', index=0,
+      number=1, type=14, cpp_type=8, label=2,
+      has_default_value=False, default_value=0,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='selected_rows', full_name='paddle_mobile.framework.proto.VarType.selected_rows', index=1,
+      number=2, type=11, cpp_type=10, label=1,
+      has_default_value=False, default_value=None,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='lod_tensor', full_name='paddle_mobile.framework.proto.VarType.lod_tensor', index=2,
+      number=3, type=11, cpp_type=10, label=1,
+      has_default_value=False, default_value=None,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='tensor_array', full_name='paddle_mobile.framework.proto.VarType.tensor_array', index=3,
+      number=4, type=11, cpp_type=10, label=1,
+      has_default_value=False, default_value=None,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='reader', full_name='paddle_mobile.framework.proto.VarType.reader', index=4,
+      number=5, type=11, cpp_type=10, label=1,
+      has_default_value=False, default_value=None,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='channel', full_name='paddle_mobile.framework.proto.VarType.channel', index=5,
+      number=6, type=11, cpp_type=10, label=1,
+      has_default_value=False, default_value=None,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='tuple', full_name='paddle_mobile.framework.proto.VarType.tuple', index=6,
+      number=7, type=11, cpp_type=10, label=1,
+      has_default_value=False, default_value=None,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+  ],
+  extensions=[
+  ],
+  nested_types=[_VARTYPE_TENSORDESC, _VARTYPE_LODTENSORDESC, _VARTYPE_LODTENSORARRAYDESC, _VARTYPE_READERDESC, _VARTYPE_CHANNELDESC, _VARTYPE_TUPLE, ],
+  enum_types=[
+    _VARTYPE_TYPE,
+  ],
+  options=None,
+  is_extendable=False,
+  syntax='proto2',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=1005,
+  serialized_end=2342,
+)
+
+
+_VARDESC = _descriptor.Descriptor(
+  name='VarDesc',
+  full_name='paddle_mobile.framework.proto.VarDesc',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='name', full_name='paddle_mobile.framework.proto.VarDesc.name', index=0,
+      number=1, type=9, cpp_type=9, label=2,
+      has_default_value=False, default_value=_b("").decode('utf-8'),
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='type', full_name='paddle_mobile.framework.proto.VarDesc.type', index=1,
+      number=2, type=11, cpp_type=10, label=2,
+      has_default_value=False, default_value=None,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='persistable', full_name='paddle_mobile.framework.proto.VarDesc.persistable', index=2,
+      number=3, type=8, cpp_type=7, label=1,
+      has_default_value=True, default_value=False,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+  ],
+  extensions=[
+  ],
+  nested_types=[],
+  enum_types=[
+  ],
+  options=None,
+  is_extendable=False,
+  syntax='proto2',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=2344,
+  serialized_end=2449,
+)
+
+
+_BLOCKDESC = _descriptor.Descriptor(
+  name='BlockDesc',
+  full_name='paddle_mobile.framework.proto.BlockDesc',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='idx', full_name='paddle_mobile.framework.proto.BlockDesc.idx', index=0,
+      number=1, type=5, cpp_type=1, label=2,
+      has_default_value=False, default_value=0,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='parent_idx', full_name='paddle_mobile.framework.proto.BlockDesc.parent_idx', index=1,
+      number=2, type=5, cpp_type=1, label=2,
+      has_default_value=False, default_value=0,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='vars', full_name='paddle_mobile.framework.proto.BlockDesc.vars', index=2,
+      number=3, type=11, cpp_type=10, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='ops', full_name='paddle_mobile.framework.proto.BlockDesc.ops', index=3,
+      number=4, type=11, cpp_type=10, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+    _descriptor.FieldDescriptor(
+      name='forward_block_idx', full_name='paddle_mobile.framework.proto.BlockDesc.forward_block_idx', index=4,
+      number=5, type=5, cpp_type=1, label=1,
+      has_default_value=True, default_value=-1,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+  ],
+  extensions=[
+  ],
+  nested_types=[],
+  enum_types=[
+  ],
+  options=None,
+  is_extendable=False,
+  syntax='proto2',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=2452,
+  serialized_end=2633,
+)
+
+
+_PROGRAMDESC = _descriptor.Descriptor(
+  name='ProgramDesc',
+  full_name='paddle_mobile.framework.proto.ProgramDesc',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='blocks', full_name='paddle_mobile.framework.proto.ProgramDesc.blocks', index=0,
+      number=1, type=11, cpp_type=10, label=3,
+      has_default_value=False, default_value=[],
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      options=None),
+  ],
+  extensions=[
+  ],
+  nested_types=[],
+  enum_types=[
+  ],
+  options=None,
+  is_extendable=False,
+  syntax='proto2',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=2635,
+  serialized_end=2706,
+)
+
+_OPDESC_ATTR.fields_by_name['type'].enum_type = _ATTRTYPE
+_OPDESC_ATTR.containing_type = _OPDESC
+_OPDESC_VAR.containing_type = _OPDESC
+_OPDESC.fields_by_name['inputs'].message_type = _OPDESC_VAR
+_OPDESC.fields_by_name['outputs'].message_type = _OPDESC_VAR
+_OPDESC.fields_by_name['attrs'].message_type = _OPDESC_ATTR
+_OPPROTO_VAR.containing_type = _OPPROTO
+_OPPROTO_ATTR.fields_by_name['type'].enum_type = _ATTRTYPE
+_OPPROTO_ATTR.containing_type = _OPPROTO
+_OPPROTO.fields_by_name['inputs'].message_type = _OPPROTO_VAR
+_OPPROTO.fields_by_name['outputs'].message_type = _OPPROTO_VAR
+_OPPROTO.fields_by_name['attrs'].message_type = _OPPROTO_ATTR
+_VARTYPE_TENSORDESC.fields_by_name['data_type'].enum_type = _VARTYPE_TYPE
+_VARTYPE_TENSORDESC.containing_type = _VARTYPE
+_VARTYPE_LODTENSORDESC.fields_by_name['tensor'].message_type = _VARTYPE_TENSORDESC
+_VARTYPE_LODTENSORDESC.containing_type = _VARTYPE
+_VARTYPE_LODTENSORARRAYDESC.fields_by_name['tensor'].message_type = _VARTYPE_TENSORDESC
+_VARTYPE_LODTENSORARRAYDESC.containing_type = _VARTYPE
+_VARTYPE_READERDESC.fields_by_name['lod_tensor'].message_type = _VARTYPE_LODTENSORDESC
+_VARTYPE_READERDESC.containing_type = _VARTYPE
+_VARTYPE_CHANNELDESC.fields_by_name['data_type'].enum_type = _VARTYPE_TYPE
+_VARTYPE_CHANNELDESC.containing_type = _VARTYPE
+_VARTYPE_TUPLE.fields_by_name['element_type'].enum_type = _VARTYPE_TYPE
+_VARTYPE_TUPLE.containing_type = _VARTYPE
+_VARTYPE.fields_by_name['type'].enum_type = _VARTYPE_TYPE
+_VARTYPE.fields_by_name['selected_rows'].message_type = _VARTYPE_TENSORDESC
+_VARTYPE.fields_by_name['lod_tensor'].message_type = _VARTYPE_LODTENSORDESC
+_VARTYPE.fields_by_name['tensor_array'].message_type = _VARTYPE_LODTENSORARRAYDESC
+_VARTYPE.fields_by_name['reader'].message_type = _VARTYPE_READERDESC
+_VARTYPE.fields_by_name['channel'].message_type = _VARTYPE_CHANNELDESC
+_VARTYPE.fields_by_name['tuple'].message_type = _VARTYPE_TUPLE
+_VARTYPE_TYPE.containing_type = _VARTYPE
+_VARDESC.fields_by_name['type'].message_type = _VARTYPE
+_BLOCKDESC.fields_by_name['vars'].message_type = _VARDESC
+_BLOCKDESC.fields_by_name['ops'].message_type = _OPDESC
+_PROGRAMDESC.fields_by_name['blocks'].message_type = _BLOCKDESC
+DESCRIPTOR.message_types_by_name['OpDesc'] = _OPDESC
+DESCRIPTOR.message_types_by_name['OpProto'] = _OPPROTO
+DESCRIPTOR.message_types_by_name['VarType'] = _VARTYPE
+DESCRIPTOR.message_types_by_name['VarDesc'] = _VARDESC
+DESCRIPTOR.message_types_by_name['BlockDesc'] = _BLOCKDESC
+DESCRIPTOR.message_types_by_name['ProgramDesc'] = _PROGRAMDESC
+DESCRIPTOR.enum_types_by_name['AttrType'] = _ATTRTYPE
+
+OpDesc = _reflection.GeneratedProtocolMessageType('OpDesc', (_message.Message,), dict(
+
+  Attr = _reflection.GeneratedProtocolMessageType('Attr', (_message.Message,), dict(
+    DESCRIPTOR = _OPDESC_ATTR,
+    __module__ = 'framework_pb2'
+    # @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.OpDesc.Attr)
+    ))
+  ,
+
+  Var = _reflection.GeneratedProtocolMessageType('Var', (_message.Message,), dict(
+    DESCRIPTOR = _OPDESC_VAR,
+    __module__ = 'framework_pb2'
+    # @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.OpDesc.Var)
+    ))
+  ,
+  DESCRIPTOR = _OPDESC,
+  __module__ = 'framework_pb2'
+  # @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.OpDesc)
+  ))
+_sym_db.RegisterMessage(OpDesc)
+_sym_db.RegisterMessage(OpDesc.Attr)
+_sym_db.RegisterMessage(OpDesc.Var)
+
+OpProto = _reflection.GeneratedProtocolMessageType('OpProto', (_message.Message,), dict(
+
+  Var = _reflection.GeneratedProtocolMessageType('Var', (_message.Message,), dict(
+    DESCRIPTOR = _OPPROTO_VAR,
+    __module__ = 'framework_pb2'
+    # @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.OpProto.Var)
+    ))
+  ,
+
+  Attr = _reflection.GeneratedProtocolMessageType('Attr', (_message.Message,), dict(
+    DESCRIPTOR = _OPPROTO_ATTR,
+    __module__ = 'framework_pb2'
+    # @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.OpProto.Attr)
+    ))
+  ,
+  DESCRIPTOR = _OPPROTO,
+  __module__ = 'framework_pb2'
+  # @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.OpProto)
+  ))
+_sym_db.RegisterMessage(OpProto)
+_sym_db.RegisterMessage(OpProto.Var)
+_sym_db.RegisterMessage(OpProto.Attr)
+
+VarType = _reflection.GeneratedProtocolMessageType('VarType', (_message.Message,), dict(
+
+  TensorDesc = _reflection.GeneratedProtocolMessageType('TensorDesc', (_message.Message,), dict(
+    DESCRIPTOR = _VARTYPE_TENSORDESC,
+    __module__ = 'framework_pb2'
+    # @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.VarType.TensorDesc)
+    ))
+  ,
+
+  LoDTensorDesc = _reflection.GeneratedProtocolMessageType('LoDTensorDesc', (_message.Message,), dict(
+    DESCRIPTOR = _VARTYPE_LODTENSORDESC,
+    __module__ = 'framework_pb2'
+    # @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.VarType.LoDTensorDesc)
+    ))
+  ,
+
+  LoDTensorArrayDesc = _reflection.GeneratedProtocolMessageType('LoDTensorArrayDesc', (_message.Message,), dict(
+    DESCRIPTOR = _VARTYPE_LODTENSORARRAYDESC,
+    __module__ = 'framework_pb2'
+    # @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.VarType.LoDTensorArrayDesc)
+    ))
+  ,
+
+  ReaderDesc = _reflection.GeneratedProtocolMessageType('ReaderDesc', (_message.Message,), dict(
+    DESCRIPTOR = _VARTYPE_READERDESC,
+    __module__ = 'framework_pb2'
+    # @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.VarType.ReaderDesc)
+    ))
+  ,
+
+  ChannelDesc = _reflection.GeneratedProtocolMessageType('ChannelDesc', (_message.Message,), dict(
+    DESCRIPTOR = _VARTYPE_CHANNELDESC,
+    __module__ = 'framework_pb2'
+    # @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.VarType.ChannelDesc)
+    ))
+  ,
+
+  Tuple = _reflection.GeneratedProtocolMessageType('Tuple', (_message.Message,), dict(
+    DESCRIPTOR = _VARTYPE_TUPLE,
+    __module__ = 'framework_pb2'
+    # @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.VarType.Tuple)
+    ))
+  ,
+  DESCRIPTOR = _VARTYPE,
+  __module__ = 'framework_pb2'
+  # @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.VarType)
+  ))
+_sym_db.RegisterMessage(VarType)
+_sym_db.RegisterMessage(VarType.TensorDesc)
+_sym_db.RegisterMessage(VarType.LoDTensorDesc)
+_sym_db.RegisterMessage(VarType.LoDTensorArrayDesc)
+_sym_db.RegisterMessage(VarType.ReaderDesc)
+_sym_db.RegisterMessage(VarType.ChannelDesc)
+_sym_db.RegisterMessage(VarType.Tuple)
+
+VarDesc = _reflection.GeneratedProtocolMessageType('VarDesc', (_message.Message,), dict(
+  DESCRIPTOR = _VARDESC,
+  __module__ = 'framework_pb2'
+  # @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.VarDesc)
+  ))
+_sym_db.RegisterMessage(VarDesc)
+
+BlockDesc = _reflection.GeneratedProtocolMessageType('BlockDesc', (_message.Message,), dict(
+  DESCRIPTOR = _BLOCKDESC,
+  __module__ = 'framework_pb2'
+  # @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.BlockDesc)
+  ))
+_sym_db.RegisterMessage(BlockDesc)
+
+ProgramDesc = _reflection.GeneratedProtocolMessageType('ProgramDesc', (_message.Message,), dict(
+  DESCRIPTOR = _PROGRAMDESC,
+  __module__ = 'framework_pb2'
+  # @@protoc_insertion_point(class_scope:paddle_mobile.framework.proto.ProgramDesc)
+  ))
+_sym_db.RegisterMessage(ProgramDesc)
+
+
+DESCRIPTOR.has_options = True
+DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('H\003'))
+# @@protoc_insertion_point(module_scope)

python/tools/mdl2fluid/loader.py

+import datetime
+import json
+import os
+
+import google.protobuf as pbg
+import framework_pb2 as framework_pb2
+
+
+def loadmdl(json_path):
+    print('mdl json path : ' + json_path)
+    with open(json_path, 'r') as f:
+        json_dick = json.load(f)
+        # print(json_dick)
+        layers = (json_dick['layer'])
+        for layer in layers:
+            print(layer)
+
+

python/tools/mdl2fluid/mdl2fluid.py

+import json
+import os
+
+import framework_pb2 as framework_pb2
+import op_types as types
+from swicher import Swichter
+import shutil
+
+
+def load_mdl(mdl_json_path):
+    # print('mdl json path : ' + mdl_json_path)
+    with open(mdl_json_path, 'r') as f:
+        return json.load(f)
+
+
+class Converter:
+    'convert mdlmodel to fluidmodel'
+
+    def __init__(self, mdl_json_path):
+        self.mdl_json_path = mdl_json_path
+        print mdl_json_path
+        self.mdl_json = load_mdl(self.mdl_json_path)
+        self.program_desc = framework_pb2.ProgramDesc()
+        self.weight_list_ = []
+        self.deepwise_weight_list_ = []
+        # print(json_dick)
+        # layers = (json_dick['layer'])
+        # for layer in layers:
+        #     print(layer)
+
+    def convert(self):
+        print 'convert begin.....'
+        # add block_desc
+        block_desc = self.program_desc.blocks.add()
+        block_desc.idx = 0
+        block_desc.parent_idx = -1
+        self.package_ops(block_desc)
+        self.package_vars(block_desc)
+        print 'blocks: '
+        print self.program_desc.blocks
+        print 'convert end.....'
+        desc_serialize_to_string = self.program_desc.SerializeToString()
+        shutil.rmtree('newyolo/')
+        shutil.copytree('multiobjects/float32s_nchw_with_head', 'newyolo/')
+
+        f = open("newyolo/__model__", "wb")
+        f.write(desc_serialize_to_string)
+        f.close()
+
+    def package_ops(self, block_desc):
+
+        self.add_op_feed(block_desc)
+
+        # add ops with layer
+        if 'layer' in self.mdl_json:
+
+            layers_ = self.mdl_json['layer']
+            for layer in layers_:
+                desc_ops_add = block_desc.ops.add()
+
+                # print layer
+                # for i in layer:
+                #     print i
+                if 'name' in layer:
+                    l_name = layer['name']
+                if 'type' in layer:
+                    self.package_ops_type(desc_ops_add, layer)
+
+                if 'weight' in layer:
+                    self.package_ops_weight2inputs(desc_ops_add, layer)
+
+                if 'output' in layer:
+                    self.package_ops_outputs(desc_ops_add, layer)
+
+                if 'input' in layer:
+                    self.package_ops_inputs(desc_ops_add, layer)
+
+                self.package_ops_attrs(desc_ops_add, layer)
+
+        self.add_op_fetch(block_desc)
+
+    def add_op_feed(self, block_desc):
+        desc_ops_add = block_desc.ops.add()
+        inputs_add = desc_ops_add.inputs.add()
+        inputs_add.parameter = 'X'
+        inputs_add.arguments.append('feed')
+        desc_ops_add.type = 'feed'
+        outputs_add = desc_ops_add.outputs.add()
+        outputs_add.parameter = 'Out'
+        outputs_add.arguments.append('data')
+        attrs_add = desc_ops_add.attrs.add()
+        attrs_add.name = 'col'
+        # boolean
+        attrs_add.type = 0
+        attrs_add.i = 0
+
+    def add_op_fetch(self, block_desc):
+        desc_ops_add = block_desc.ops.add()
+        inputs_add = desc_ops_add.inputs.add()
+        inputs_add.parameter = 'X'
+        inputs_add.arguments.append('conv_pred_87')
+        desc_ops_add.type = 'fetch'
+        outputs_add = desc_ops_add.outputs.add()
+        outputs_add.parameter = 'Out'
+        outputs_add.arguments.append('fetch')
+        attrs_add = desc_ops_add.attrs.add()
+        attrs_add.name = 'col'
+        # boolean
+        attrs_add.type = 0
+        attrs_add.i = 0
+
+    @staticmethod
+    def package_ops_attrs(desc_ops_add, layer):
+        # print l_params
+        # print desc_ops_add.type
+        if desc_ops_add.type == types.op_fluid_fusion_conv_add:
+            Converter.pack_fusion_conv_add_attr(desc_ops_add, layer)
+        elif desc_ops_add.type == types.op_fluid_relu:
+            # fusion_conv_add : attrs
+            attrs_add = desc_ops_add.attrs.add()
+            attrs_add.name = 'use_mkldnn'
+            # boolean
+            attrs_add.type = 6
+            attrs_add.b = 0
+
+    @staticmethod
+    def pack_fusion_conv_add_attr(desc_ops_add, layer):
+
+        # fusion_conv_add : attrs
+        attrs_add = desc_ops_add.attrs.add()
+        attrs_add.name = 'workspace_size_MB'
+        # 0-->INT
+        attrs_add.type = 0
+        attrs_add.i = 4096
+
+        attrs_add = desc_ops_add.attrs.add()
+        attrs_add.name = 'data_format'
+        # 2-->STRING
+        attrs_add.type = 2
+        attrs_add.s = 'AnyLayout'
+
+        attrs_add = desc_ops_add.attrs.add()
+        attrs_add.name = 'use_mkldnn'
+        # boolean
+        attrs_add.type = 6
+        attrs_add.b = 0
+
+        attrs_add = desc_ops_add.attrs.add()
+        attrs_add.name = 'use_cudnn'
+        # boolean
+        attrs_add.type = 6
+        attrs_add.b = 1
+
+        attrs_add = desc_ops_add.attrs.add()
+        attrs_add.name = 'dilations'
+        # ints
+        attrs_add.type = 3
+        attrs_add.ints.append(1)
+        attrs_add.ints.append(1)
+
+        attrs_add = desc_ops_add.attrs.add()
+        attrs_add.name = 'axis'
+        # int
+        attrs_add.type = 0
+        attrs_add.i = 1
+
+        if 'param' in layer:
+            l_params = layer['param']
+
+            attrs_add = desc_ops_add.attrs.add()
+            attrs_add.name = 'paddings'
+            # ints
+            attrs_add.type = 3
+            attrs_add.ints.append(l_params[types.fusion_conv_add_attrs_dict.get('paddings')])
+            attrs_add.ints.append(l_params[types.fusion_conv_add_attrs_dict.get('paddings')])
+
+            attrs_add = desc_ops_add.attrs.add()
+            attrs_add.name = 'strides'
+            # ints
+            attrs_add.type = 3
+            attrs_add.ints.append(l_params[types.fusion_conv_add_attrs_dict.get('strides')])
+            attrs_add.ints.append(l_params[types.fusion_conv_add_attrs_dict.get('strides')])
+
+            attrs_add = desc_ops_add.attrs.add()
+            attrs_add.name = 'groups'
+            # int
+            attrs_add.type = 0
+            attrs_add.i = l_params[types.fusion_conv_add_attrs_dict.get('groups')]
+            # attrs_add.i = 1
+
+        #
+        # op_attrs_tupl = types.op_io_dict.get(desc_ops_add.type) \
+        #     .get(types.mdl_attrs_key)
+        #
+        #
+        #
+        #
+        # # group stride padding
+        # print '----------------------'
+        # for i, val in enumerate(op_attrs_tupl):
+        #     attrs_add = desc_ops_add.attrs.add()
+        #     attr_name = op_attrs_tupl[i]
+        #     print attr_name
+        #     attrs_add.name = attr_name
+        #     attrs_add.type = types.fluid_attrs_type_dict.get(attr_name)
+        #     attrs_add.
+        #     print l_params[types.fusion_conv_add_attrs_dict.get(attr_name)]
+
+        # for p in l_params:
+        #     attrs_add = desc_ops_add.attrs.add()
+
+    @staticmethod
+    def package_ops_inputs(desc_ops_add, layer):
+        l_inputs = layer['input']
+        for i in l_inputs:
+            inputs_add = desc_ops_add.inputs.add()
+            # print i
+            inputs_add.parameter = types.op_io_dict.get(desc_ops_add.type).get(types.mdl_inputs_key)
+            inputs_add.arguments.append(i)
+
+    @staticmethod
+    def package_ops_outputs(desc_ops_add, layer):
+        l_outputs = layer['output']
+        for o in l_outputs:
+            # print o
+            outputs_add = desc_ops_add.outputs.add()
+            outputs_add.parameter = types.op_io_dict.get(desc_ops_add.type).get(types.mdl_outputs_key)
+            outputs_add.arguments.append(o)
+
+    def package_ops_weight2inputs(self, desc_ops_add, layer):
+        l_weights = layer['weight']
+        for w in l_weights:
+            self.weight_list_.append(w)
+
+        if layer['type'] == 'DepthwiseConvolutionLayer':
+            # print l_weights[0]
+            self.deepwise_weight_list_.append(l_weights[0])
+
+        op_weight_tup = types.op_io_dict.get(desc_ops_add.type).get(types.mdl_weight_key)
+        # print len(op_weight_tup)
+        for i, val in enumerate(op_weight_tup):
+            # print i
+            # print val
+            inputs_add = desc_ops_add.inputs.add()
+            inputs_add.parameter = op_weight_tup[i]
+            inputs_add.arguments.append(l_weights[i])
+
+        # for w in l_weights:
+        #     inputs_add = desc_ops_add.inputs.add()
+        #     # print w
+        #     inputs_add.parameter = op_weight_tup[0]
+        #     inputs_add.arguments.append(w)
+
+    @staticmethod
+    def package_ops_type(desc_ops_add, layer):
+        l_type = layer['type']
+        # print l_type
+        # print mdl2fluid_op_layer_dict.get(l_type)
+        desc_ops_add.type = types.mdl2fluid_op_layer_dict.get(l_type)
+
+    def package_vars(self, block_desc):
+        vars_add = block_desc.vars.add()
+        vars_add.name = 'feed'
+        vars_add.type.type = 9  # 9 is FEED_MINIBATCH
+        vars_add.persistable = 1
+        # fetch
+        vars_add = block_desc.vars.add()
+        vars_add.name = 'fetch'
+        vars_add.type.type = 10  # 10 is fetch list
+        vars_add.persistable = 1
+
+        json_matrix_ = self.mdl_json['matrix']
+        # print json_matrix_
+        for j in json_matrix_:
+            vars_add = block_desc.vars.add()
+            vars_add.name = j
+            vars_add.type.type = 7  # 7 is lodtensor
+            # print j
+            tensor = vars_add.type.lod_tensor.tensor
+            tensor.data_type = 5  # 5 is FP32
+
+            # print json_matrix_
+
+            dims_of_matrix = json_matrix_.get(j)
+            # dims_size = len(dims_of_matrix)
+            # print dims_size
+
+            # if dims_size == 4:
+            #     tensor.dims.append(dims_of_matrix[0])  # N
+            #     tensor.dims.append(dims_of_matrix[3])  # C
+            #     tensor.dims.append(dims_of_matrix[1])  # H
+            #     tensor.dims.append(dims_of_matrix[2])  # W
+            # else:
+
+            # issues in mdl model filter swich n and c
+            if j in self.deepwise_weight_list_ and len(dims_of_matrix) == 4:
+                print j
+                tensor.dims.append(dims_of_matrix[1])
+                tensor.dims.append(dims_of_matrix[0])
+                tensor.dims.append(dims_of_matrix[2])
+                tensor.dims.append(dims_of_matrix[3])
+                print tensor.dims
+            else:
+                for dims in dims_of_matrix:
+                    # print dims
+                    tensor.dims.append(dims)
+
+            if j in self.weight_list_:
+                vars_add.persistable = 1
+                dims_size = len(dims_of_matrix)
+                # print dims_size
+                if dims_size == 4:
+                    # convert weight from nhwc to nchw
+                    Swichter().nhwc2nchw_one_slice_add_head(
+                        '/Users/xiebaiyuan/PaddleProject/paddle-mobile/python/tools/mdl2fluid/multiobjects/float32s_nhwc/' + j + '.bin',
+                        '/Users/xiebaiyuan/PaddleProject/paddle-mobile/python/tools/mdl2fluid/multiobjects/float32s_nchw_with_head/' + j,
+                        '/Users/xiebaiyuan/PaddleProject/paddle-mobile/python/tools/mdl2fluid/multiobjects/float32s_nchw/' + j + '.tmp',
+                        dims_of_matrix[0],
+                        dims_of_matrix[1],
+                        dims_of_matrix[2],
+                        dims_of_matrix[3]
+                    )
+                else:
+                    Swichter().copy_add_head(
+                        '/Users/xiebaiyuan/PaddleProject/paddle-mobile/python/tools/mdl2fluid/multiobjects/float32s_nhwc/' + j + '.bin',
+                        '/Users/xiebaiyuan/PaddleProject/paddle-mobile/python/tools/mdl2fluid/multiobjects/float32s_nchw_with_head/' + j,
+                        '/Users/xiebaiyuan/PaddleProject/paddle-mobile/python/tools/mdl2fluid/multiobjects/float32s_nchw/' + j + '.tmp'
+                    )
+            else:
+                vars_add.persistable = 0
+
+
+mdl_path = "/Users/xiebaiyuan/PaddleProject/paddle-mobile/python/tools/mdl2fluid/multiobjects/YOLO_Universal.json"
+converter = Converter(mdl_path)
+converter.convert()

python/tools/mdl2fluid/model_reader.py

+import os
+
+import framework_pb2 as framework_pb2
+
+
+def read_model(model_path):
+    print('read_model.')
+    path_8 = unicode(model_path, 'utf8')
+
+    try:
+        with open(path_8, "rb") as f_model:
+            print get_file_size(model_path)
+            desc = framework_pb2.ProgramDesc()
+            desc.ParseFromString(f_model.read())
+            print desc
+            # print desc.blocks
+
+    except IOError:
+        print ": File not found.  Creating a new file."
+
+
+def get_file_size(file_path):
+    file_path = unicode(file_path, 'utf8')
+    fsize = os.path.getsize(file_path)
+    fsize = fsize / float(1024 * 1024)
+    return round(fsize, 2)
+
+
+path = "newyolo/__model__"
+read_model(path)

python/tools/mdl2fluid/op_types.py

+# coding=utf-8
+
+# mdl layers
+layer_mdl_conv = 'ConvolutionLayer'
+layer_mdl_deepwise_conv = 'DepthwiseConvolutionLayer'
+layer_mdl_relu = 'ReluLayer'
+layer_mdl_pointwise_add = 'PointwiseConvolutionLayer'
+
+# fluid ops
+op_fluid_fusion_conv_add = 'fusion_conv_add'
+op_fluid_relu = 'relu'
+
+# dict mdk layer ---  fluid op
+mdl2fluid_op_layer_dict = {
+    layer_mdl_conv: op_fluid_fusion_conv_add,
+    layer_mdl_deepwise_conv: op_fluid_fusion_conv_add,
+    layer_mdl_relu: op_fluid_relu,
+    layer_mdl_pointwise_add: op_fluid_fusion_conv_add
+}
+
+mdl_outputs_key = "outputs"
+mdl_inputs_key = "inputs"
+mdl_weight_key = "weights"
+mdl_attrs_key = "params"
+
+# dict of mdl-input _out param  to fluid input out attrs
+fusion_conv_add_dict = {
+    mdl_inputs_key: 'Input',
+    mdl_outputs_key: 'Out',
+    mdl_weight_key: ('Filter', 'Y'),
+    mdl_attrs_key: (
+        # 'workspace_size_MB', 'use_mkldnn', 'use_cudnn', 'data_format','dilations',
+        # dilations =  [1,1]
+        'groups', 'paddings', 'strides'
+        # 'axis'
+    )
+}
+
+relu_dict = {
+    mdl_inputs_key: 'X',
+    mdl_outputs_key: 'Out',
+    mdl_weight_key: ()
+
+}
+# mdl layers  ---  fluid ops
+op_io_dict = {
+    'fusion_conv_add': fusion_conv_add_dict,
+    'relu': relu_dict
+}
+
+# fluid attr key  ---  mdl params key
+fusion_conv_add_attrs_dict = {
+    'paddings': 'pad',
+    'strides': 'stride',
+    'groups': 'group'
+}
+# fluid attr key  ---  mdl params key
+fluid_attrs_type_dict = {
+    'paddings': 0,
+    'strides': 6,
+    'groups': 6
+}
+
+# '': "bias_term",    是不是要add   目前 yolo的模型都是 bias_term = 1
+
+
+# attrs {
+#       name: "axis"
+#       type: INT
+#       i: 1
+#     }
+
+
+# attrs_name = {
+#     'name': "workspace_size_MB",
+#     'type': 'INT',
+#     'i': '4096'
+# }
+# attrs
+# {
+#     name: "data_format"
+#     type: STRING
+#     s: "AnyLayout"
+# }
+# attrs
+# {
+#     name: "use_mkldnn"
+#     type: BOOLEAN
+#     b: false
+# }
+# attrs
+# {
+#     name: "use_cudnn"
+#     type: BOOLEAN
+#     b: true
+# }
+# attrs
+# {
+#     name: "dilations"
+#     type: INTS
+#     ints: 1
+#     ints: 1
+# }
+# attrs
+# {
+#     name: "groups"
+#     type: INT
+#     i: 1
+# }
+# attrs
+# {
+#     name: "paddings"
+#     type: INTS
+#     ints: 0
+#     ints: 0
+# }
+# attrs
+# {
+#     name: "strides"
+#     type: INTS
+#     ints: 1
+#     ints: 1
+# }

python/tools/mdl2fluid/swicher.py

+from array import array
+
+
+class Swichter:
+    def __init__(self):
+        pass
+
+    def nhwc2nchw_one_slice(self, from_file_name, to_file_name, batch, channel, height, width):
+        from_file = open(from_file_name, "rb")
+        to_file = open(to_file_name, "wb")
+
+        float_array = array("f")
+        float_array.fromfile(from_file, width * height * batch * channel)
+        float_write_array = array("f")
+
+        for b in range(batch):
+            for c in range(channel):
+                for h in range(height):
+                    for w in range(width):
+                        float_value = float_array[b * channel * width * height
+                                                  + channel * (h * width + w) + c]
+
+                        float_write_array.append(float_value)
+
+        float_write_array.tofile(to_file)
+        from_file.close()
+        to_file.close()
+
+    def copy(self, from_file_name, to_file_name):
+        from_file = open(from_file_name, "rb")
+        to_file = open(to_file_name, "wb")
+
+        to_file.write(from_file.read())
+        from_file.close()
+        to_file.close()
+
+    def nhwc2nchw_one_slice_add_head(self, from_file_name, to_file_name, tmp_file_name, batch, channel, height, width):
+        from_file = open(from_file_name, "rb")
+        tmp_file = open(tmp_file_name, "wb+")
+        float_array = array("f")
+        float_array.fromfile(from_file, width * height * batch * channel)
+        float_write_array = array("f")
+
+        for b in range(batch):
+            for c in range(channel):
+                for h in range(height):
+                    for w in range(width):
+                        float_value = float_array[b * channel * width * height
+                                                  + channel * (h * width + w) + c]
+
+                        float_write_array.append(float_value)
+
+        float_write_array.tofile(tmp_file)
+        tmp_file.close()
+        from_file.close()
+
+        tmp_file = open(tmp_file_name, "rb")
+        to_file = open(to_file_name, "wb")
+
+        tmp = tmp_file.read()
+        head = self.read_head('/Users/xiebaiyuan/PaddleProject/paddle-mobile/python/tools/mdl2fluid/yolo/conv1_biases')
+        to_file.write(head)
+        to_file.write(tmp)
+        tmp_file.close()
+        to_file.close()
+
+    def read_head(self, head_file):
+        from_file = open(head_file, "rb")
+        read = from_file.read(20)
+        # print read
+        from_file.close()
+        # print read
+        return read
+
+    def copy_add_head(self, from_file_name, to_file_name, tmp_file_name):
+        from_file = open(from_file_name, "rb")
+        to_file = open(to_file_name, "wb")
+        # tmp_file = open(tmp_file_name, "wb")
+
+        head = self.read_head('/Users/xiebaiyuan/PaddleProject/paddle-mobile/python/tools/mdl2fluid/yolo/conv1_biases')
+        to_file.write(head)
+        to_file.write(from_file.read())
+        from_file.close()
+        to_file.close()
+        pass
+
+
+# Swichter().nhwc2nchw_one_slice(
+#     '/Users/xiebaiyuan/PaddleProject/paddle-mobile/python/tools/mdl2fluid/multiobjects/float32s_nhwc/conv5_6_dw_0.bin',
+#     '/Users/xiebaiyuan/PaddleProject/paddle-mobile/python/tools/mdl2fluid/multiobjects/float32s_nchw/conv5_6_dw_0', 1,
+#     512, 3, 3)
+Swichter().read_head('/Users/xiebaiyuan/PaddleProject/paddle-mobile/python/tools/mdl2fluid/yolo/conv1_biases')