ekalda commented on a change in pull request #9530:
URL: https://github.com/apache/tvm/pull/9530#discussion_r754430628
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File path: python/tvm/relay/backend/contrib/ethosu/legalize.py
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@@ -741,6 +741,96 @@ def __call__(self, *args, **kwargs):
pass
+class UnaryElementwiseRewriter(DFPatternCallback):
+ """
+ Convert ethosu unary elementwise composite function to
+ ethosu_unary_elementwise operators
+ """
+
+ def __init__(self, params_class, pattern):
+ super().__init__(require_type=True)
+ self.params_class = params_class
+ self.pattern = pattern
+
+ def callback(
+ self, pre: tvm.relay.Expr, post: tvm.relay.Expr, node_map:
tvm.ir.container.Map
+ ) -> tvm.relay.Expr:
+ params = self.params_class(post.op.body)
+ params.ifm.tensor = post.args[0]
+
+ if str(params.ofm.layout) != "NHWC":
+ raise UnsupportedLayout(str(params.ofm.layout))
+
+ activation_map = {"clip": "CLIP"}
+ if params.activation:
+ activation = activation_map[params.activation.op.name]
+ clip_min = int(params.activation.attrs.a_min)
+ clip_max = int(params.activation.attrs.a_max)
+ else:
+ activation = "NONE"
+ clip_min = 0
+ clip_max = 0
+
+ # We don't yet support activation functions that use LUT.
+ lut = relay.const([], dtype="int8")
+
+ unary_input_shape = params.ifm.shape
+ # If the input tensor is not 4D, enter reshapes before and after the
unary operator
+ if len(params.ifm.shape) == 4:
+ unary_input = params.ifm.tensor
+ else:
+ while len(unary_input_shape) < 4:
+ unary_input_shape = [1] + unary_input_shape
Review comment:
Done
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