add nccl default allreduce fusion group

mindspore/parallel/_auto_parallel_context.py

@@ -20,6 +20,8 @@ from mindspore._c_expression import AutoParallelContext
 from mindspore._checkparam import args_type_check
 
 _MAX_GROUP_NAME_LEN = 127
+_DEFAULT_HCCL_FUSION_GROUP_NAME = "hccl_world_groupsum1"
+_DEFAULT_NCCL_FUSION_GROUP_NAME = "nccl_world_groupsum1"
 
 
 class _AutoParallelContext:
@@ -267,7 +269,7 @@ class _AutoParallelContext:
         self.check_context_handle()
         return self._context_handle.get_parameter_broadcast_is_set()
 
-    def set_all_reduce_fusion_split_indices(self, indices, group="hccl_world_groupsum1"):
+    def set_all_reduce_fusion_split_indices(self, indices, group=""):
         """
         Set allreduce fusion strategy by parameters indices.
 
@@ -294,11 +296,17 @@ class _AutoParallelContext:
         else:
             raise TypeError('Group must be a python str')
 
+        if group == "":
+            if context.get_context("device_target") == "Ascend":
+                group = _DEFAULT_HCCL_FUSION_GROUP_NAME
+            else:
+                group = _DEFAULT_NCCL_FUSION_GROUP_NAME
+
         self._context_handle.set_all_reduce_fusion_split_indices(indices, group)
         if context.get_context("device_target") == "Ascend":
             _set_fusion_strategy_by_idx(indices)
 
-    def get_all_reduce_fusion_split_indices(self, group="hccl_world_groupsum1"):
+    def get_all_reduce_fusion_split_indices(self, group=""):
         """
         Get allreduce fusion split indices.
 
@@ -318,9 +326,15 @@ class _AutoParallelContext:
                 raise ValueError('Group name len is out of range {_MAX_GROUP_NAME_LEN}')
         else:
             raise TypeError('Group must be a python str')
+
+        if group == "":
+            if context.get_context("device_target") == "Ascend":
+                group = _DEFAULT_HCCL_FUSION_GROUP_NAME
+            else:
+                group = _DEFAULT_NCCL_FUSION_GROUP_NAME
         return self._context_handle.get_all_reduce_fusion_split_indices(group)
 
-    def set_all_reduce_fusion_split_sizes(self, sizes, group="hccl_world_groupsum1"):
+    def set_all_reduce_fusion_split_sizes(self, sizes, group=""):
         """
         Set allreduce fusion strategy by parameters data sizes.
 
@@ -347,11 +361,17 @@ class _AutoParallelContext:
         else:
             raise TypeError('Group must be a python str')
 
+        if group == "":
+            if context.get_context("device_target") == "Ascend":
+                group = _DEFAULT_HCCL_FUSION_GROUP_NAME
+            else:
+                group = _DEFAULT_NCCL_FUSION_GROUP_NAME
+
         self._context_handle.set_all_reduce_fusion_split_sizes(sizes, group)
         if context.get_context("device_target") == "Ascend":
             _set_fusion_strategy_by_size(sizes)
 
-    def get_all_reduce_fusion_split_sizes(self, group="hccl_world_groupsum1"):
+    def get_all_reduce_fusion_split_sizes(self, group=""):
         """
         Get allreduce fusion split sizes.
 
@@ -371,6 +391,12 @@ class _AutoParallelContext:
                 raise ValueError('Group name len is out of range {_MAX_GROUP_NAME_LEN}')
         else:
             raise TypeError('Group must be a python str')
+
+        if group == "":
+            if context.get_context("device_target") == "Ascend":
+                group = _DEFAULT_HCCL_FUSION_GROUP_NAME
+            else:
+                group = _DEFAULT_NCCL_FUSION_GROUP_NAME
         return self._context_handle.get_all_reduce_fusion_split_sizes(group)
 
     def set_enable_all_reduce_fusion(self, enable_all_reduce_fusion):