!15594 fix data trans error

From: @liubuyu
Reviewed-by: @zhoufeng54,@jjfeing
Signed-off-by: @jjfeing

mindspore/ccsrc/backend/kernel_compiler/kernel_query.cc

@@ -92,10 +92,11 @@ void KernelQueryAll(const CNodePtr &kernel_node,
     HostMetadataInfo(kernel_node, kernel_info_list);
   }
   if (kernel_info_list->empty()) {
-    MS_EXCEPTION(NotExistsError)
-      << "Failed to obtain operator info, Please check whether the operator info is registered, Op full name:"
-      << kernel_node->fullname_with_scope() << "Node Type: " << op_name
-      << ", Node DebugString: " << kernel_node->DebugString() << "\n trace: " << trace::DumpSourceLines(kernel_node);
+    MS_EXCEPTION(NotExistsError) << "Can not find any available operator info for op [" << op_name << ", "
+                                 << kernel_node->fullname_with_scope()
+                                 << "]. Node DebugString:" << kernel_node->DebugString()
+                                 << ", maybe the operator can not supported on current platform. \n trace "
+                                 << trace::DumpSourceLines(kernel_node);
   }
 }
 
@@ -121,9 +122,11 @@ void KernelQuery(const CNodePtr &kernel_node, std::vector<std::shared_ptr<kernel
   }
 
   if (kernel_info_list->empty()) {
-    MS_EXCEPTION(NotExistsError)
-      << "Failed to obtain operator info. Please check whether the operator info is registered, Op full name:"
-      << kernel_node->fullname_with_scope() << ". Node DebugString: " << kernel_node->DebugString();
+    MS_EXCEPTION(NotExistsError) << "Can not find any available operator info for op ["
+                                 << AnfAlgo::GetCNodeName(kernel_node) << ", " << kernel_node->fullname_with_scope()
+                                 << "]. Node DebugString:" << kernel_node->DebugString()
+                                 << ", maybe the operator can not supported on current platform. \n trace "
+                                 << trace::DumpSourceLines(kernel_node);
   }
   // check output
   FilterInvalidKernelInfo(kernel_node, kernel_info_list);

mindspore/ccsrc/backend/kernel_compiler/tbe/tbe_kernel_build.cc

@@ -537,7 +537,8 @@ string TbeKernelJsonCreator::GetSocVersion() {
     }
     if (soc_version_env != nullptr) {
       if (std::strcmp(soc_version, soc_version_env) != 0) {
-        MS_LOG(WARNING) << "SocVerison will be change.";
+        MS_LOG(DEBUG) << "Detected the env SOC_VERSION, so the SocVersion will be changed to " << str_soc_version_env
+                      << ".";
         ret = rtSetSocVersion(soc_version_env);
         if (ret != RT_ERROR_NONE) {
           MS_LOG(EXCEPTION) << "SetSocVersion failed, errorno: " << ret;

mindspore/ccsrc/common/trans.cc

@@ -186,18 +186,6 @@ bool CastKernel(const TypeIdArgs &args, void *dst, const size_t data_size, const
   }
 }
 
-size_t CubeSizeByType(const TypeId data_type) {
-  const size_t default_error = 0;
-  auto dt_size = abstract::TypeIdSize(data_type);
-  if (dt_size < 1) {
-    MS_LOG(ERROR) << "Illegal dtype.";
-    return default_error;
-  } else if (dt_size == 1) {
-    return kCubeSize * 2;
-  }
-  return kCubeSize;
-}
-
 namespace {
 bool CheckDims(const std::vector<size_t> &shape) {
   if (shape.size() != kNchwDims) {
@@ -780,12 +768,7 @@ bool NchwToFracZ(const FormatArgs &args, void *result) {
   auto c = args.host_shape[kC];
   auto h = args.host_shape[kH];
   auto w = args.host_shape[kW];
-
-  auto c0 = CubeSizeByType(args.src_data_type);
-  if (c0 < 1) {
-    MS_LOG(ERROR) << "Illegal dtype.";
-    return false;
-  }
+  const size_t c0 = 16;
   auto c1 = DivCeil(c, c0);
   auto hw = h * w;
   auto chw = c * hw;
@@ -1109,11 +1092,7 @@ bool NchwToNc1hwc0(const FormatArgs &args, void *result) {
   auto c = args.host_shape[kC];
   auto h = args.host_shape[kH];
   auto w = args.host_shape[kW];
-  auto c0 = CubeSizeByType(args.src_data_type);
-  if (c0 < 1) {
-    MS_LOG(ERROR) << "Illegal dtype.";
-    return false;
-  }
+  size_t c0 = 16;
   if (args.device_format == kOpFormat_NC1HWC0_C04) {
     c0 = 4;
   }
@@ -1412,7 +1391,7 @@ bool NcdhwToFracZ3D(const FormatArgs &args, void *result) {
   auto w = args.host_shape[4];
 
   auto n1n0 = DivCeil(n, kCubeSize) * kCubeSize;
-  auto c0 = CubeSizeByType(args.src_data_type);
+  const size_t c0 = 16;
   auto c1 = DivCeil(c, c0);
   auto hw = h * w;
   auto dhw = d * hw;

mindspore/ccsrc/common/trans.h

@@ -55,8 +55,6 @@ struct FormatArgs {
   TypeId src_data_type;
 };
 
-size_t CubeSizeByType(const TypeId data_type);
-
 std::vector<size_t> PaddingShape(const std::vector<size_t> &shape, const std::string &format,
                                  const std::string &pad_index = {""});
 std::vector<size_t> PaddingShapeTo4d(const std::vector<size_t> &shape, const std::string &padding_axis = {""});