fix log level: const tensor conversion is normal

mindspore/ccsrc/kernel/akg/akgkernelbuild.cc

@@ -277,7 +277,7 @@ bool AkgKernelBuild::CreateInputDescJson(const AnfNodePtr &anf_node, nlohmann::j
       input_desc_json[kTensorName] = "input_" + std::to_string(GetInputTensorIdxInc(anf_node, real_input_index));
       auto input_shape = AnfAlgo::GetInputDeviceShape(anf_node, real_input_index);
       if (GetInputTensorValue(anf_node, real_input_index, &input_desc_json)) {
-        MS_LOG(WARNING) << "we take input[" << real_input_index << "] of [" << anf_node->DebugString(2)
+        MS_LOG(DEBUG) << "Take input[" << real_input_index << "] of [" << anf_node->DebugString(2)
                       << "] as const tensor, shape: [" << Vector2Str(input_shape)
                       << "], value: " << input_desc_json[kValue];
 
@@ -351,7 +351,7 @@ void GetJson(const AnfNodePtr &anf_node, const std::vector<int> &dyn_input_sizes
     }
     (*attr_json)[kValue] = data_format;
   } else {
-    MS_LOG(WARNING) << "attr type:" << type;
+    MS_LOG(WARNING) << "No valid json value for attr type: " << type;
   }
 }
 

mindspore/ccsrc/session/ascend_session.cc

@@ -541,11 +541,11 @@ void AscendSession::SelectKernel(const KernelGraph &kernel_graph) const {
     MS_LOG(INFO) << "Select ApplyKernel: " << cnode->DebugString();
   }
   if (raise_precision_count > 0) {
-    MS_LOG(WARNING) << "There has " << raise_precision_count
+    MS_LOG(DEBUG) << "There has " << raise_precision_count
                   << " node/nodes used raise precision to selected the kernel!";
   }
   if (reduce_precision_count > 0) {
-    MS_LOG(WARNING) << "There has " << reduce_precision_count
+    MS_LOG(DEBUG) << "There has " << reduce_precision_count
                   << " node/nodes used reduce precision to selected the kernel!";
   }
   MS_LOG(INFO) << "Finish!";