billishyahao commented on code in PR #11508:
URL: https://github.com/apache/tvm/pull/11508#discussion_r889061002
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python/tvm/relay/op/contrib/dnnl.py:
##########
@@ -526,3 +527,52 @@ def visit_call(self, call):
new_mod["main"] = SubgraphRemover(subgraphs_to_remove, mod,
new_mod).visit(mod["main"])
new_mod = transform.RemoveUnusedFunctions()(new_mod)
return new_mod
+
+
+class LayerNormRewrite(DFPatternCallback):
+ '''
+ A callback to rewrite the following operators into a single layer
normalization operator.
+
+ 1 %4 = mean(%3, axis=[-1], keepdims=True) /* ty=Tensor[(1, 3136, 1),
float32] */;
+ 2 %5 = subtract(%3, %4) /* ty=Tensor[(1, 3136, 64), float32] */;
+ 3 %6 = cast(%5, dtype="float32") /* ty=Tensor[(1, 3136, 64), float32] */;
+ 4 %7 = power(%6, 2f /* ty=float32 */) /* ty=Tensor[(1, 3136, 64),
float32] */;
+ 5 %8 = mean(%7, axis=[-1], keepdims=True) /* ty=Tensor[(1, 3136, 1),
float32] */;
+ 6 %9 = add(%8, 1e-05f /* ty=float32 */) /* ty=Tensor[(1, 3136, 1),
float32] */;
+ 7 %10 = sqrt(%9) /* ty=Tensor[(1, 3136, 1), float32] */;
+ 8 %11 = divide(%5, %10) /* ty=Tensor[(1, 3136, 64), float32] */;
+ 9 %12 = multiply(%11, meta[relay.Constant][2] /* ty=Tensor[(64),
float32] */) /* ty=Tensor[(1, 3136, 64), float32] */;
+ 10 %13 = add(%12, meta[relay.Constant][3] /* ty=Tensor[(64), float32]
*/) /* ty=Tensor[(1, 3136, 64), float32] */;
+ '''
+
+ def __init__(self):
+ super(LayerNormRewrite, self).__init__()
+ self.data = wildcard()
+ self.eps = wildcard()
+ self.gamma = wildcard()
+ self.beta = wildcard()
+ mu = is_op("mean")(self.data)
+ diff = is_op("subtract")(self.data, mu)
+ cdiff = diff | is_op("cast")(diff)
+ p1 = is_op("power")(cdiff, is_constant())
Review Comment:
Thanks for pointing it out. I have resolved it by specifying the const magic
number in my latest revision.
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