krishnaraj36 commented on code in PR #13649:
URL: https://github.com/apache/tvm/pull/13649#discussion_r1057075338
##########
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:
CLML module is expected to have input to 4D tensor shape for Pad layer,
since conv2d layer input is always 4D tensor so Pad+conv2d fusion input is
expected have 4D tensor always. It seems condition is redundant. Removed in
updated commit.
@srkreddy1238 @echuraev
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