Fix precision problem

akg

@@ -1 +1 @@
-Subproject commit f8f4e60bf3c435cec41cbe48fe24901277ef9556
+Subproject commit 72b359ad457ed8f4f254c8a3bd2bde88967202fb

mindspore/_extends/graph_kernel/model/graph_split.py

@@ -33,7 +33,7 @@ class GraphSplitByPattern:
             self.out_relations = dict()  # {area1: relation1, area2: relation2, ...}
             self.mode = self.MODE_BASIC
             if self.pattern == PrimLib.TRANSFORM or self.pattern == PrimLib.BROADCAST or \
-                (use_poly_reduce and self.pattern == PrimLib.REDUCE):
+                    (use_poly_reduce and self.pattern == PrimLib.REDUCE):
                 self.mode = self.MODE_COMPOSITE
             if init_op.prim == "AddN":
                 self.mode = self.MODE_COMPOSITE
@@ -283,6 +283,9 @@ class GraphSplitByPattern:
             if _check_reduce_exclude(dom):
                 return None
             a, r = list(dom.in_relations.items())[0]
+            if a.is_output and len(a.ops) >= 10 and _is_atomic_add_available(dom):
+                # to evade the precision problem in akg
+                return None
             if _reduce_pat_exclude(dom, a, r) or len(a.out_relations) != 1:
                 return None
             return [a], True
@@ -292,6 +295,8 @@ class GraphSplitByPattern:
                 return None
             if _check_reduce_exclude(dom):
                 return None
+            if len(dom.ops) == 1:
+                return None
             fused = []
             for a, r in dom.in_relations.items():
                 if not _reduce_pat_exclude(dom, a, r) and a.check_circle(dom):
@@ -304,16 +309,17 @@ class GraphSplitByPattern:
                 size *= i
             return size
 
+        def _is_atomic_add_available(dom):
+            if any(["Reduce" in x.prim for x in dom.ops[1:]]):
+                return False
+            op = dom.ops[0]
+            reduce_axis = op.attrs["reduce_axis"]
+            if len(op.inputs[0].shape) - 1 in reduce_axis:
+                reduce_size = reduce(lambda x, y: x * y, [op.inputs[0].shape[i] for i in reduce_axis])
+                return reduce_size >= 1024
+            return True
+
         def _reduce_output(dom):
-            def _is_atomic_add_available(dom):
-                if any(["Reduce" in x.prim for x in dom.ops[1:]]):
-                    return False
-                op = dom.ops[0]
-                reduce_axis = op.attrs["reduce_axis"]
-                if len(op.inputs[0].shape) - 1 in reduce_axis:
-                    reduce_size = reduce(lambda x, y: x * y, [op.inputs[0].shape[i] for i in reduce_axis])
-                    return reduce_size >= 1024
-                return True
             if dom.pattern != PrimLib.REDUCE:
                 return None
             if _is_atomic_add_available(dom):