masahi commented on a change in pull request #8669:
URL: https://github.com/apache/tvm/pull/8669#discussion_r685574682
##########
File path: python/tvm/topi/x86/dense_alter_op.py
##########
@@ -39,6 +40,17 @@ def _alter_dense_layout(attrs, inputs, tinfos, out_type):
relay.op.get("nn.dense"), attrs, tinfos, out_type, target
)
workload = autotvm.task.get_workload(outs)
+
+ data_type =
relay.transform.InferType()(IRModule.from_expr(inputs[0]))["main"].body.checked_type
Review comment:
Also I want to mention that, normally I would expect that
`InferCorrectLayout` would specify the desired layout and layout transform
would be inserted automatically. But I got an impression that
`InferCorrectLayout` doesn't really work with `AlterOpLayout` (unlike
`ConvertLayout`), in that `AlterOpLayout` requires shape information. So we
need to 1. get shape and 2. insert layout transform inside this call back. I
thought this design is weird but it seems this is the only way.
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