fix serving peformance

mindspore/ccsrc/session/ascend_inference_session.cc

@@ -31,14 +31,69 @@ using mindspore::tensor::TensorPy;
 
 namespace mindspore {
 namespace session {
+namespace {
+std::set<AnfNodePtr> weight_infos;
+static TypeId GetDataType(const py::buffer_info &buf) {
+  if (buf.format.size() == 1) {
+    switch (buf.format.front()) {
+      case 'e':
+      case 'f':
+      case 'd':
+        switch (buf.itemsize) {
+          case 2:
+            return TypeId::kNumberTypeFloat16;
+          case 4:
+            return TypeId::kNumberTypeFloat32;
+          case 8:
+            return TypeId::kNumberTypeFloat64;
+        }
+        break;
+      case 'b':
+      case 'h':
+      case 'i':
+      case 'l':
+      case 'q':
+        switch (buf.itemsize) {
+          case 1:
+            return TypeId::kNumberTypeInt8;
+          case 2:
+            return TypeId::kNumberTypeInt16;
+          case 4:
+            return TypeId::kNumberTypeInt32;
+          case 8:
+            return TypeId::kNumberTypeInt64;
+        }
+        break;
+      case 'B':
+      case 'H':
+      case 'I':
+      case 'L':
+      case 'Q':
+        switch (buf.itemsize) {
+          case 1:
+            return TypeId::kNumberTypeUInt8;
+          case 2:
+            return TypeId::kNumberTypeUInt16;
+          case 4:
+            return TypeId::kNumberTypeUInt32;
+          case 8:
+            return TypeId::kNumberTypeUInt64;
+        }
+        break;
+      case '?':
+        return TypeId::kNumberTypeBool;
+    }
+  }
+  MS_LOG(WARNING) << "Unsupported DataType format " << buf.format << " item size " << buf.itemsize;
+  return TypeId::kTypeUnknown;
+}
+}  // namespace
 void AscendInferenceSession::LoadInputData(const std::shared_ptr<KernelGraph> &kernel_graph,
                                            const std::vector<tensor::TensorPtr> &inputs_const) const {
   MS_EXCEPTION_IF_NULL(kernel_graph);
   std::vector<tensor::TensorPtr> inputs(inputs_const);
   auto input_nodes = kernel_graph->inputs();
 
-  auto ms_context = MsContext::GetInstance();
-  MS_EXCEPTION_IF_NULL(ms_context);
   size_t no_weight_input = 0;
   for (size_t i = 0; i < input_nodes.size(); ++i) {
     tensor::TensorPtr tensor = nullptr;
@@ -48,45 +103,32 @@ void AscendInferenceSession::LoadInputData(const std::shared_ptr<KernelGraph> &k
     }
     auto pk_node = input_nodes[i]->cast<ParameterPtr>();
     MS_EXCEPTION_IF_NULL(pk_node);
+    auto device_address = AnfAlgo::GetMutableOutputAddr(pk_node, 0);
+    MS_EXCEPTION_IF_NULL(device_address);
     if (AnfAlgo::IsParameterWeight(pk_node)) {
+      if (weight_infos.count(pk_node) != 0) {
+        continue;
+      }
       auto param_value = std::dynamic_pointer_cast<ParamValuePy>(pk_node->default_param());
       MS_EXCEPTION_IF_NULL(param_value);
       auto py_param = param_value->value();
       MS_EXCEPTION_IF_NULL(py_param);
       py::array py_array = py_param.cast<py::array>();
-      tensor = TensorPy::MakeTensor(py_array);
+      py::buffer_info buf = py_array.request();
+      auto buf_type = GetDataType(buf);
+      if (!device_address->SyncHostToDevice(trans::GetRuntimePaddingShape(pk_node, 0),
+                                            LongToSize(buf.size * buf.itemsize), buf_type, buf.ptr)) {
+        MS_LOG(EXCEPTION) << "SyncHostToDevice failed.";
+      }
+      weight_infos.insert(pk_node);
     } else {
       tensor = inputs[no_weight_input++];
-    }
+      if (!device_address->SyncHostToDevice(trans::GetRuntimePaddingShape(pk_node, 0),
-    MS_EXCEPTION_IF_NULL(tensor);
+                                            LongToSize(tensor->data().nbytes()), tensor->data_type(),
-    if (AnfAlgo::OutputAddrExist(pk_node, 0)) {
+                                            tensor->data_c())) {
-      auto device_address = AnfAlgo::GetMutableOutputAddr(pk_node, 0);
+        MS_LOG(EXCEPTION) << "SyncHostToDevice failed.";
-      bool need_sync = false;
-      if (ms_context->enable_pynative_infer()) {
-        if (tensor->device_address().get() == nullptr || tensor->device_address() != device_address) {
-          need_sync = true;
-        }
-      } else {
-        if (tensor->is_dirty()) {
-          need_sync = true;
-        } else if (tensor->device_address() != device_address) {
-          (void)tensor->data_sync();
-          need_sync = true;
-        }
-      }
-      if (need_sync) {
-        if (ms_context->execution_mode() == kPynativeMode || AnfAlgo::IsParameterWeight(pk_node)) {
-          tensor->set_device_address(device_address);
-        }
-        MS_EXCEPTION_IF_NULL(device_address);
-        if (!device_address->SyncHostToDevice(trans::GetRuntimePaddingShape(pk_node, 0),
-                                              LongToSize(tensor->data().nbytes()), tensor->data_type(),
-                                              tensor->data_c())) {
-          MS_LOG(EXCEPTION) << "SyncHostToDevice failed.";
-        }
       }
     }
-    tensor->set_dirty(false);
   }
 }
 }  // namespace session

serving/core/ms_service_pb2.py

@@ -0,0 +1,318 @@
+# -*- coding: utf-8 -*-
+# Generated by the protocol buffer compiler.  DO NOT EDIT!
+# source: ms_service.proto
+
+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
+# @@protoc_insertion_point(imports)
+
+_sym_db = _symbol_database.Default()
+
+
+
+
+DESCRIPTOR = _descriptor.FileDescriptor(
+  name='ms_service.proto',
+  package='ms_serving',
+  syntax='proto3',
+  serialized_options=None,
+  serialized_pb=b'\n\x10ms_service.proto\x12\nms_serving\"2\n\x0ePredictRequest\x12 \n\x04\x64\x61ta\x18\x01 \x03(\x0b\x32\x12.ms_serving.Tensor\"2\n\x0cPredictReply\x12\"\n\x06result\x18\x01 \x03(\x0b\x32\x12.ms_serving.Tensor\"\x1b\n\x0bTensorShape\x12\x0c\n\x04\x64ims\x18\x01 \x03(\x03\"p\n\x06Tensor\x12-\n\x0ctensor_shape\x18\x01 \x01(\x0b\x32\x17.ms_serving.TensorShape\x12)\n\x0btensor_type\x18\x02 \x01(\x0e\x32\x14.ms_serving.DataType\x12\x0c\n\x04\x64\x61ta\x18\x03 \x01(\x0c*\xc9\x01\n\x08\x44\x61taType\x12\x0e\n\nMS_UNKNOWN\x10\x00\x12\x0b\n\x07MS_BOOL\x10\x01\x12\x0b\n\x07MS_INT8\x10\x02\x12\x0c\n\x08MS_UINT8\x10\x03\x12\x0c\n\x08MS_INT16\x10\x04\x12\r\n\tMS_UINT16\x10\x05\x12\x0c\n\x08MS_INT32\x10\x06\x12\r\n\tMS_UINT32\x10\x07\x12\x0c\n\x08MS_INT64\x10\x08\x12\r\n\tMS_UINT64\x10\t\x12\x0e\n\nMS_FLOAT16\x10\n\x12\x0e\n\nMS_FLOAT32\x10\x0b\x12\x0e\n\nMS_FLOAT64\x10\x0c\x32\x8e\x01\n\tMSService\x12\x41\n\x07Predict\x12\x1a.ms_serving.PredictRequest\x1a\x18.ms_serving.PredictReply\"\x00\x12>\n\x04Test\x12\x1a.ms_serving.PredictRequest\x1a\x18.ms_serving.PredictReply\"\x00\x62\x06proto3'
+)
+
+_DATATYPE = _descriptor.EnumDescriptor(
+  name='DataType',
+  full_name='ms_serving.DataType',
+  filename=None,
+  file=DESCRIPTOR,
+  values=[
+    _descriptor.EnumValueDescriptor(
+      name='MS_UNKNOWN', index=0, number=0,
+      serialized_options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='MS_BOOL', index=1, number=1,
+      serialized_options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='MS_INT8', index=2, number=2,
+      serialized_options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='MS_UINT8', index=3, number=3,
+      serialized_options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='MS_INT16', index=4, number=4,
+      serialized_options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='MS_UINT16', index=5, number=5,
+      serialized_options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='MS_INT32', index=6, number=6,
+      serialized_options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='MS_UINT32', index=7, number=7,
+      serialized_options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='MS_INT64', index=8, number=8,
+      serialized_options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='MS_UINT64', index=9, number=9,
+      serialized_options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='MS_FLOAT16', index=10, number=10,
+      serialized_options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='MS_FLOAT32', index=11, number=11,
+      serialized_options=None,
+      type=None),
+    _descriptor.EnumValueDescriptor(
+      name='MS_FLOAT64', index=12, number=12,
+      serialized_options=None,
+      type=None),
+  ],
+  containing_type=None,
+  serialized_options=None,
+  serialized_start=280,
+  serialized_end=481,
+)
+_sym_db.RegisterEnumDescriptor(_DATATYPE)
+
+DataType = enum_type_wrapper.EnumTypeWrapper(_DATATYPE)
+MS_UNKNOWN = 0
+MS_BOOL = 1
+MS_INT8 = 2
+MS_UINT8 = 3
+MS_INT16 = 4
+MS_UINT16 = 5
+MS_INT32 = 6
+MS_UINT32 = 7
+MS_INT64 = 8
+MS_UINT64 = 9
+MS_FLOAT16 = 10
+MS_FLOAT32 = 11
+MS_FLOAT64 = 12
+
+
+
+_PREDICTREQUEST = _descriptor.Descriptor(
+  name='PredictRequest',
+  full_name='ms_serving.PredictRequest',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='data', full_name='ms_serving.PredictRequest.data', 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,
+      serialized_options=None, file=DESCRIPTOR),
+  ],
+  extensions=[
+  ],
+  nested_types=[],
+  enum_types=[
+  ],
+  serialized_options=None,
+  is_extendable=False,
+  syntax='proto3',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=32,
+  serialized_end=82,
+)
+
+
+_PREDICTREPLY = _descriptor.Descriptor(
+  name='PredictReply',
+  full_name='ms_serving.PredictReply',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='result', full_name='ms_serving.PredictReply.result', 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,
+      serialized_options=None, file=DESCRIPTOR),
+  ],
+  extensions=[
+  ],
+  nested_types=[],
+  enum_types=[
+  ],
+  serialized_options=None,
+  is_extendable=False,
+  syntax='proto3',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=84,
+  serialized_end=134,
+)
+
+
+_TENSORSHAPE = _descriptor.Descriptor(
+  name='TensorShape',
+  full_name='ms_serving.TensorShape',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='dims', full_name='ms_serving.TensorShape.dims', index=0,
+      number=1, 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,
+      serialized_options=None, file=DESCRIPTOR),
+  ],
+  extensions=[
+  ],
+  nested_types=[],
+  enum_types=[
+  ],
+  serialized_options=None,
+  is_extendable=False,
+  syntax='proto3',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=136,
+  serialized_end=163,
+)
+
+
+_TENSOR = _descriptor.Descriptor(
+  name='Tensor',
+  full_name='ms_serving.Tensor',
+  filename=None,
+  file=DESCRIPTOR,
+  containing_type=None,
+  fields=[
+    _descriptor.FieldDescriptor(
+      name='tensor_shape', full_name='ms_serving.Tensor.tensor_shape', index=0,
+      number=1, 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,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='tensor_type', full_name='ms_serving.Tensor.tensor_type', index=1,
+      number=2, type=14, cpp_type=8, label=1,
+      has_default_value=False, default_value=0,
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+    _descriptor.FieldDescriptor(
+      name='data', full_name='ms_serving.Tensor.data', index=2,
+      number=3, type=12, cpp_type=9, label=1,
+      has_default_value=False, default_value=b"",
+      message_type=None, enum_type=None, containing_type=None,
+      is_extension=False, extension_scope=None,
+      serialized_options=None, file=DESCRIPTOR),
+  ],
+  extensions=[
+  ],
+  nested_types=[],
+  enum_types=[
+  ],
+  serialized_options=None,
+  is_extendable=False,
+  syntax='proto3',
+  extension_ranges=[],
+  oneofs=[
+  ],
+  serialized_start=165,
+  serialized_end=277,
+)
+
+_PREDICTREQUEST.fields_by_name['data'].message_type = _TENSOR
+_PREDICTREPLY.fields_by_name['result'].message_type = _TENSOR
+_TENSOR.fields_by_name['tensor_shape'].message_type = _TENSORSHAPE
+_TENSOR.fields_by_name['tensor_type'].enum_type = _DATATYPE
+DESCRIPTOR.message_types_by_name['PredictRequest'] = _PREDICTREQUEST
+DESCRIPTOR.message_types_by_name['PredictReply'] = _PREDICTREPLY
+DESCRIPTOR.message_types_by_name['TensorShape'] = _TENSORSHAPE
+DESCRIPTOR.message_types_by_name['Tensor'] = _TENSOR
+DESCRIPTOR.enum_types_by_name['DataType'] = _DATATYPE
+_sym_db.RegisterFileDescriptor(DESCRIPTOR)
+
+PredictRequest = _reflection.GeneratedProtocolMessageType('PredictRequest', (_message.Message,), {
+  'DESCRIPTOR' : _PREDICTREQUEST,
+  '__module__' : 'ms_service_pb2'
+  # @@protoc_insertion_point(class_scope:ms_serving.PredictRequest)
+  })
+_sym_db.RegisterMessage(PredictRequest)
+
+PredictReply = _reflection.GeneratedProtocolMessageType('PredictReply', (_message.Message,), {
+  'DESCRIPTOR' : _PREDICTREPLY,
+  '__module__' : 'ms_service_pb2'
+  # @@protoc_insertion_point(class_scope:ms_serving.PredictReply)
+  })
+_sym_db.RegisterMessage(PredictReply)
+
+TensorShape = _reflection.GeneratedProtocolMessageType('TensorShape', (_message.Message,), {
+  'DESCRIPTOR' : _TENSORSHAPE,
+  '__module__' : 'ms_service_pb2'
+  # @@protoc_insertion_point(class_scope:ms_serving.TensorShape)
+  })
+_sym_db.RegisterMessage(TensorShape)
+
+Tensor = _reflection.GeneratedProtocolMessageType('Tensor', (_message.Message,), {
+  'DESCRIPTOR' : _TENSOR,
+  '__module__' : 'ms_service_pb2'
+  # @@protoc_insertion_point(class_scope:ms_serving.Tensor)
+  })
+_sym_db.RegisterMessage(Tensor)
+
+
+
+_MSSERVICE = _descriptor.ServiceDescriptor(
+  name='MSService',
+  full_name='ms_serving.MSService',
+  file=DESCRIPTOR,
+  index=0,
+  serialized_options=None,
+  serialized_start=484,
+  serialized_end=626,
+  methods=[
+  _descriptor.MethodDescriptor(
+    name='Predict',
+    full_name='ms_serving.MSService.Predict',
+    index=0,
+    containing_service=None,
+    input_type=_PREDICTREQUEST,
+    output_type=_PREDICTREPLY,
+    serialized_options=None,
+  ),
+  _descriptor.MethodDescriptor(
+    name='Test',
+    full_name='ms_serving.MSService.Test',
+    index=1,
+    containing_service=None,
+    input_type=_PREDICTREQUEST,
+    output_type=_PREDICTREPLY,
+    serialized_options=None,
+  ),
+])
+_sym_db.RegisterServiceDescriptor(_MSSERVICE)
+
+DESCRIPTOR.services_by_name['MSService'] = _MSSERVICE
+
+# @@protoc_insertion_point(module_scope)

serving/core/server.cc

@@ -259,7 +259,7 @@ Status Server::BuildAndStart() {
   }
   g_ctx = ctx;
 #endif
-  MSServiceImpl msService;
+  MSServiceImpl ms_service;
   grpc::EnableDefaultHealthCheckService(true);
   grpc::reflection::InitProtoReflectionServerBuilderPlugin();
   // Set the port is not reuseable
@@ -268,7 +268,7 @@ Status Server::BuildAndStart() {
   serverBuilder.SetOption(std::move(option));
   serverBuilder.SetMaxMessageSize(uint32max);
   serverBuilder.AddListeningPort(server_address, grpc::InsecureServerCredentials());
-  serverBuilder.RegisterService(&msService);
+  serverBuilder.RegisterService(&ms_service);
   std::unique_ptr<grpc::Server> server(serverBuilder.BuildAndStart());
   if (server == nullptr) {
     MS_LOG(ERROR) << "The serving server create failed";