[GitHub] [tvm] jtuyls commented on a change in pull request #8205: [Relay][Convert Layout] Enable layout transformation for image.resize op

[GitBox <gi...@apache.org>]

jtuyls commented on a change in pull request #8205:
URL: https://github.com/apache/tvm/pull/8205#discussion_r646885687



##########
File path: python/tvm/relay/op/image/_image.py
##########
@@ -58,6 +58,38 @@ def compute_resize(attrs, inputs, out_type):
 reg.register_injective_schedule("image.resize")
 
 
+@reg.register_convert_op_layout("image.resize")
+def convert_image_resize(attrs, inputs, tinfos, desired_layouts):
+    """Convert Layout pass registration for image resize op.
+
+    Parameters
+    ----------
+    attrs : tvm.ir.Attrs
+        Attributes of current resize op
+    inputs : list of tvm.relay.Expr
+        The args of the Relay expr to be legalized
+    tinfos : list of types
+        List of input and output types
+    desired_layouts : list of layout strings
+        List of layouts defining our desired
+        layout for the data input.
+
+    Returns
+    -------
+    result : tvm.relay.Expr
+        The transformed expr
+    """
+    # pylint: disable=import-outside-toplevel
+    from tvm import relay

Review comment:
       No, I just based this on other layout conversion functions and they seem to always lazy load inside the function: https://github.com/apache/tvm/blob/2c67d7131bc820481aaaca921f9e76f5709051b3/python/tvm/relay/op/nn/_nn.py#L240 Not sure why actually. 




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