add MS_EXCEPTION_IF_NULL for some variables

mindspore/ccsrc/backend/session/ascend_session.cc

@@ -598,7 +598,9 @@ void AscendSession::LoadTensor(const std::shared_ptr<KernelGraph> &kernel_graph)
     auto runtime_instance = device::KernelRuntimeManager::Instance().GetKernelRuntime(kAscendDevice, device_id_);
     MS_EXCEPTION_IF_NULL(runtime_instance);
     DebugServices *debug_services = debugger_->debug_services();
+    MS_EXCEPTION_IF_NULL(debug_services);
     TensorLoader *tensor_loader = debug_services->tensor_loader();
+    MS_EXCEPTION_IF_NULL(tensor_loader);
     // TensorData will be freed up here
     tensor_loader->EmptyTensor();
     uint32_t iter_num = tensor_loader->GetIterNum();

mindspore/ccsrc/debug/debugger/debugger.cc

@@ -126,7 +126,7 @@ void Debugger::EnableDebugger() {
       MS_LOG(INFO) << "Getenv MS_DEBUGGER_PORT: " << env_port_str;
       port = std::string(env_port_str);
     } else {
-      MS_LOG(ERROR) << "Environment variable MS_DEBUGGER_PORT is not valid. Custom port ranging from 0 to 65535";
+      MS_LOG(ERROR) << "Environment variable MS_DEBUGGER_PORT is not valid. Custom port ranging from 1 to 65535";
       debugger_enabled_ = false;
     }
   } else {
@@ -180,6 +180,7 @@ void Debugger::EnableDebugger() {
       }
     }
     MS_LOG(INFO) << "last op overflow bin folder" << last_overflow_bin_;
+    closedir(d);
   }
 #endif
 
@@ -824,9 +825,9 @@ bool Debugger::CheckPort(const char *port) {
   int num = 0;
   if (*p == '0' && *(p + 1) != '\0') return false;
   while (*p != '\0') {
-    if (*p <= '0' && *p >= '9') return false;
+    if (*p < '0' || *p > '9') return false;
     num = num * 10 + (*p) - '0';
-    if (num < 0 || num > 65535) return false;
+    if (num < 1 || num > 65535) return false;
     p++;
   }
   return true;

mindspore/ccsrc/runtime/device/ascend/ascend_device_address.cc

@@ -668,7 +668,9 @@ bool AscendDeviceAddress::LoadMemToHost(bool trans_flag, const std::string &tens
                                         size_t slot, Debugger *debugger, bool keep_prev) const {
   bool ret = false;
   DebugServices *debug_services = debugger->debug_services();
+  MS_EXCEPTION_IF_NULL(debug_services);
   TensorLoader *tensor_loader = debug_services->tensor_loader();
+  MS_EXCEPTION_IF_NULL(tensor_loader);
   // TensorData is freed up in AscendSession class
   auto tensor_data = std::make_shared<mindspore::TensorData>();
   tensor_data->SetName(tensor_name);

mindspore/ccsrc/runtime/device/ascend/ascend_kernel_runtime.cc

@@ -252,6 +252,7 @@ void LoadOutput(mindspore::session::KernelGraph *graph, Debugger *debugger) {
       auto format = kOpFormat_DEFAULT;
       string tensor_name = kernel_name + ':' + std::to_string(j);
       auto ascend_addr = dynamic_cast<const mindspore::device::ascend::AscendDeviceAddress *>(addr);
+      MS_EXCEPTION_IF_NULL(ascend_addr);
       ShapeVector int_shapes;
       if (trans_flag) {
         int_shapes = trans::GetRuntimePaddingShape(node, j);
@@ -288,6 +289,7 @@ void LoadParameters(mindspore::session::KernelGraph *graph, Debugger *debugger)
     auto format = kOpFormat_DEFAULT;
     string tensor_name = parameter_name + ':' + "0";
     auto ascend_addr = dynamic_cast<const mindspore::device::ascend::AscendDeviceAddress *>(addr);
+    MS_EXCEPTION_IF_NULL(ascend_addr);
     ShapeVector int_shapes;
     if (trans_flag) {
       int_shapes = trans::GetRuntimePaddingShape(item, PRAMATER_OUTPUT_INDEX);