print error msg if profiling enabled after hccl init

mindspore/ccsrc/pipeline/jit/pipeline.cc

@@ -62,6 +62,7 @@
 #include "transform/graph_ir/convert.h"
 #include "transform/graph_ir/df_graph_manager.h"
 #include "transform/graph_ir/op_adapter_map.h"
+#include "runtime/device/ascend/profiling/profiling_manager.h"
 #endif
 #ifdef ENABLE_DUMP_IR
 #include "debug/rdr/running_data_recorder.h"
@@ -79,6 +80,10 @@ using mindspore::abstract::AbstractTensorPtr;
 using mindspore::abstract::AbstractTuple;
 using mindspore::abstract::AbstractTuplePtr;
 
+#if (ENABLE_GE || ENABLE_D)
+using mindspore::device::ascend::ProfilingManager;
+#endif
+
 const char IR_TYPE_ANF[] = "anf_ir";
 const char IR_TYPE_ONNX[] = "onnx_ir";
 const char IR_TYPE_MINDIR[] = "mind_ir";
@@ -1078,6 +1083,11 @@ void InitHccl() {
     (void)context::OpenTsd(ms_context);
   }
 #endif
+#if (ENABLE_GE || ENABLE_D)
+  if (!ProfilingManager::GetInstance().IsProfiling()) {
+    ProfilingManager::GetInstance().SetHcclEnabledBefProfilingEnabled();
+  }
+#endif
 }
 
 void FinalizeHccl() {

mindspore/ccsrc/runtime/device/ascend/profiling/profiling_manager.cc

@@ -42,7 +42,7 @@ ProfilingManager &ProfilingManager::GetInstance() {
   return inst;
 }
 
-ProfilingManager::ProfilingManager() : device_id_(0), prof_cb_({0}) {}
+ProfilingManager::ProfilingManager() : device_id_(0), prof_cb_({0}), hccl_enabled_bef_profiling_enabled_(false) {}
 
 uint64_t ProfilingManager::GetJobId() const {
   const char *job_id = std::getenv("JOB_ID");
@@ -139,6 +139,14 @@ bool ProfilingManager::StartupProfiling(uint32_t device_id) {
     MS_LOG(INFO) << "No need profiling. please export PROFILING_MODE and in train mode.";
     return true;
   }
+
+  if (hccl_enabled_bef_profiling_enabled_) {
+    MS_LOG(ERROR)
+      << "Please check the Profiler object initialized before mindspore.context.set_auto_parallel_context() "
+         "and mindspore.communication.management.init(). Profiler should be initialized before these code.";
+    return false;
+  }
+
   device_id_ = device_id;
 
   struct MsprofGeOptions prof_conf = {0};

mindspore/ccsrc/runtime/device/ascend/profiling/profiling_manager.h

@@ -61,6 +61,7 @@ class ProfilingManager {
   void SetMsprofReporterCallback(MsprofReporterCallback func) { prof_cb_.msprofReporterCallback = func; }
   void SetMsprofSetDeviceCallback(MsprofSetDeviceCallback func) { prof_cb_.msprofSetDeviceCallback = func; }
   Status GetProfConf(NotNull<MsprofGeOptions *> prof);
+  void SetHcclEnabledBefProfilingEnabled() { hccl_enabled_bef_profiling_enabled_ = true; }
 
  protected:
   ProfilingManager();
@@ -70,6 +71,7 @@ class ProfilingManager {
   bool ProfStartUp(NotNull<MsprofGeOptions *> prof_conf);
   uint32_t device_id_;
   MsprofCallback prof_cb_;
+  bool hccl_enabled_bef_profiling_enabled_;
 };
 
 Status RegProfCtrlCallback(MsprofCtrlCallback func);

mindspore/profiler/profiling.py

@@ -256,8 +256,9 @@ class Profiler:
         """Collect and analyse gpu performance data"""
         if context.get_auto_parallel_context('device_num') > 1 and self._dev_id != str(get_rank()):
             self._dev_id = str(get_rank())
-            logger.error('Please check the Profiler object initialized after set_auto_parallel_context() '
-                         'and init(). Profiler should be initialized after these code. ')
+            logger.error('Please check the Profiler object initialized after mindspore.context.set_auto_parallel_'
+                         'context() and mindspore.communication.management.init(). Profiler should be initialized'
+                         ' after these code.')
         self._gpu_profiler.stop()
         timeline_generator = self._generate_timeline()