ekalda commented on a change in pull request #9576:
URL: https://github.com/apache/tvm/pull/9576#discussion_r759505793
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File path: python/tvm/relay/backend/contrib/ethosu/legalize.py
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@@ -831,6 +832,170 @@ def __call__(self, *args, **kwargs):
pass
+class MeanRewriter(DFPatternCallback):
+ """Convert ethosu.mean composite functions to to an equivalent
legalization:
+ - Case 1 (axis == [1, 2] and keepsdims == True):
+ ethosu_depthwise_conv2d + ethosu_binary_elementwise
+ - Case 2 (ifm qparams == ofm qparams): ethosu_pooling
+ - Case 3 (else): ethosu_depthwise_conv2d
+ """
+
+ def __init__(self):
+ super().__init__(require_type=True)
+ self.pattern = (
+ wildcard().has_attr({"Composite":
ethosu_patterns.MeanParams.composite_name})
+ )(wildcard())
+
+ def callback(
+ self, pre: tvm.relay.Expr, post: tvm.relay.Expr, node_map:
tvm.ir.container.Map
+ ) -> tvm.relay.Expr:
+ params = ethosu_patterns.MeanParams(post.op.body)
+ params.ifm.tensor = post.args[0]
+
+ ifm_shape = params.ifm.shape
+ ofm_shape = params.ofm.shape
+ lut = relay.const([], "int8")
+ axis = params.axis
+ reduced_op = params.ifm.tensor
+
+ # Enforce 4d input
+ if len(ifm_shape) < 4:
+ axis = [x + 1 for x in axis]
+ if len(ifm_shape) == 3:
+ ifm_shape = [1, params.height, params.width, ifm_shape[2]]
+ else:
+ ifm_shape = [1, params.height, params.width, 1]
+ reduced_op = relay.reshape(reduced_op, ifm_shape)
Review comment:
Yeah I guess it would be a rather rare case to have to do a 1D mean, so
we can do it in a separate PR in the future if there will be need for it :)
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