rem hccl keywords (#53058)

paddle/fluid/distributed/collective/custom_ccl_tools.cc

@@ -29,7 +29,7 @@ phi::ccl::CCLReduceOp ToCustomCCLRedType(ReduceOp reduction) {
   PADDLE_ENFORCE_EQ(
       it != red_type.end(),
       true,
-      platform::errors::InvalidArgument("Invalid hccl reduction. "
+      platform::errors::InvalidArgument("Invalid CustomCCL reduction. "
                                         "Must be Min | Max | Prod | Sum"));
   return it->second;
 }

paddle/fluid/distributed/collective/process_group_custom.cc

@@ -139,11 +139,12 @@ void ProcessGroupCustom::BroadcastUniqueCustomID(
 // create CustomCCLManager cache for places_key
 void ProcessGroupCustom::CreateCustomManagerCache(
     const std::string& places_key, const std::vector<Place>& places) {
-  PADDLE_ENFORCE_EQ(places_key.empty(),
-                    false,
-                    platform::errors::PreconditionNotMet(
-                        "Not able to create/get the HCCL Communicator since "
-                        "the NPU place are not known"));
+  PADDLE_ENFORCE_EQ(
+      places_key.empty(),
+      false,
+      platform::errors::PreconditionNotMet(
+          "Not able to create/get the CustomCCL Communicator since "
+          "the NPU place are not known"));
   const std::string device_type = places.back().GetDeviceType();
 
   std::vector<std::shared_ptr<CustomCCLCommManager>> ccl_comms;

paddle/fluid/imperative/reducer.cc

@@ -250,10 +250,6 @@ void Group::ConcatTensors(const platform::DeviceContext &context) {
         "Paddle can't concat xpu grads since it's not compiled with BKCL,"
         "Please recompile or reinstall Paddle with BKCL support."));
 #endif
-  } else if (platform::is_npu_place(place)) {
-    PADDLE_THROW(platform::errors::PermissionDenied(
-        "Paddle can't concat npu grads since it's not compiled with HCCL,"
-        "Please recompile or reinstall Paddle with HCCL support."));
   } else if (platform::is_cpu_place(place)) {
     ConcatTensorsWithType(static_cast<const phi::CPUContext &>(context),
                           dense_tensors_,
@@ -290,10 +286,6 @@ void Group::SplitTensors(const platform::DeviceContext &context) {
         "Paddle can't split xpu grad since it's not compiled with BKCL,"
         "Please recompile or reinstall Paddle with BKCL support."));
 #endif
-  } else if (platform::is_npu_place(place)) {
-    PADDLE_THROW(platform::errors::PermissionDenied(
-        "Paddle can't split npu grad since it's not compiled with HCCL,"
-        "Please recompile or reinstall Paddle with HCCL support."));
   } else if (platform::is_cpu_place(place)) {
     SplitTensorsWithType(static_cast<const phi::CPUContext &>(context),
                          &dense_contents_,