add int_data and float_data for Tensor

core/general-server/proto/general_model_service.proto

@@ -21,8 +21,10 @@ option cc_generic_services = true;
 
 message Tensor {
   repeated bytes data = 1;
-  optional int32 elem_type = 2;
-  repeated int32 shape = 3;
+  repeated int32 int_data = 2;
+  repeated float float_data = 3;
+  optional int32 elem_type = 4;
+  repeated int32 shape = 5;
 };
 
 message FeedInst {

core/sdk-cpp/proto/general_model_service.proto

@@ -20,9 +20,11 @@ package baidu.paddle_serving.predictor.general_model;
 option cc_generic_services = true;
 
 message Tensor {
-  repeated bytes data = 1;
-  optional int32 elem_type = 2;
-  repeated int32 shape = 3;
+  repeated bytes data = 1; // most general format
+  repeated int32 int_data = 2; // for simple debug only
+  repeated float float_data = 3; // for simple debug only
+  optional int32 elem_type = 4; // support int64, float32
+  repeated int32 shape = 5;
 };
 
 message FeedInst {

python/paddle_serving_server/__init__.py

@@ -20,7 +20,9 @@ import google.protobuf.text_format
 class OpMaker(object):
     def __init__(self):
         self.op_dict = {"general_infer":"GeneralInferOp",
+                        "general_text_infer":"GeneralTextInferOp",
                         "general_reader":"GeneralReaderOp",
+                        "general_text_reader":"GeneralTextReaderOp",
                         "general_single_kv":"GeneralSingleKVOp",
                         "general_dist_kv":"GeneralDistKVOp"}