srkreddy1238 commented on code in PR #13649:
URL: https://github.com/apache/tvm/pull/13649#discussion_r1055150087
##########
python/tvm/relay/op/contrib/clml.py:
##########
@@ -200,9 +218,18 @@ def check_conv(extract):
while call.op.name != "nn.conv2d":
call = call.args[0]
+
attrs, args = call.attrs, call.args
if attrs.data_layout != "NCHW":
return False
+
+ if (
+ (not isinstance(args[0], (Var, Constant)))
+ and (args[0].op.name == "nn.pad")
+ and (len(args[0].attrs["pad_width"]) != 4)
Review Comment:
Ideally, this check is not required. nn.pad implementation ensures pad_width
length to be in sync with incoming tensor rank.
https://github.com/apache/tvm/blob/36d89a28fb984caa83082b034c46180a82dcd1ea/src/relay/op/nn/pad.cc#L131
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