From 734538c7c571941e6f5962e2a25b4d86553689d5 Mon Sep 17 00:00:00 2001
From: hexia <hexia15@huawei.com>
Date: Thu, 20 Aug 2020 14:47:47 +0800
Subject: [PATCH] delete info

---
 serving/core/http_process.cc            | 3 ---
 serving/example/cpp_client/ms_client.cc | 5 +++--
 2 files changed, 3 insertions(+), 5 deletions(-)

diff --git a/serving/core/http_process.cc b/serving/core/http_process.cc
index cf989779001..51b2d0a950f 100644
--- a/serving/core/http_process.cc
+++ b/serving/core/http_process.cc
@@ -102,7 +102,6 @@ Status GetDataFromJson(const json &json_data, std::string *data, HTTP_DATA_TYPE
     }
     auto s_data = json_data.get<int32_t>();
     data->append(reinterpret_cast<char *>(&s_data), sizeof(int32_t));
-    MSI_LOG(INFO) << "data size " << data->size();
   } else if (json_data.is_number_float()) {
     if (*type == HTTP_DATA_NONE) {
       *type = HTTP_DATA_FLOAT;
@@ -112,7 +111,6 @@ Status GetDataFromJson(const json &json_data, std::string *data, HTTP_DATA_TYPE
     }
     auto s_data = json_data.get<float>();
     data->append(reinterpret_cast<char *>(&s_data), sizeof(float));
-    MSI_LOG(INFO) << "data size " << data->size();
   } else {
     ERROR_INFER_STATUS(status, INVALID_INPUTS, "the input data type should be int or float");
     return status;
@@ -227,7 +225,6 @@ Status TransTensorToPredictRequest(const json &message_info, PredictRequest *req
     std::string msg_data;
     HTTP_DATA_TYPE type{HTTP_DATA_NONE};
     RecusiveGetTensor(tensor, 0, &shape, &msg_data, &type);
-    MSI_LOG(INFO) << shape << ", data = " << msg_data.size();
     auto iter = http_to_infer_map.find(type);
     if (iter == http_to_infer_map.end()) {
       ERROR_INFER_STATUS(status, INVALID_INPUTS, "the input type is not supported right now");
diff --git a/serving/example/cpp_client/ms_client.cc b/serving/example/cpp_client/ms_client.cc
index 720f1cf7044..8c82977008c 100644
--- a/serving/example/cpp_client/ms_client.cc
+++ b/serving/example/cpp_client/ms_client.cc
@@ -41,7 +41,8 @@ class MSClient {
 
     Tensor data;
     TensorShape shape;
-    shape.add_dims(4);
+    shape.add_dims(2);
+    shape.add_dims(2);
     *data.mutable_tensor_shape() = shape;
     data.set_tensor_type(ms_serving::MS_FLOAT32);
     std::vector<float> input_data{1, 2, 3, 4};
@@ -58,7 +59,7 @@ class MSClient {
 
     // The actual RPC.
     Status status = stub_->Predict(&context, request, &reply);
-    std::cout << "Compute [1, 2, 3, 4] + [1, 2, 3, 4]" << std::endl;
+    std::cout << "Compute [[1, 2], [3, 4]] + [[1, 2], [3, 4]]" << std::endl;
 
     // Act upon its status.
     if (status.ok()) {