L0phTg commented on PR #15290:
URL: https://github.com/apache/tvm/pull/15290#issuecomment-1630103093
if we call `relax.analysis.remove_all_unused` to update this function, will
cause bugs in build stage
```python
@R.function
def main(
shape_tensor: R.Tensor((3,), dtype="int64")
) -> R.Tensor(dtype="int32", ndim=3):
m = T.int64()
n = T.int64()
k = T.int64()
with R.dataflow():
lv: R.Shape(ndim=3) = R.call_pure_packed(
"vm.builtin.tensor_to_shape", shape_tensor,
sinfo_args=(R.Shape(ndim=3),)
)
lv1: R.Shape([m, n, k]) = R.match_cast(lv, R.Shape([m, n, k]))
lv2: R.Tensor((m, 1, k), dtype="int32") = R.full(
R.shape([m, 1, k]), R.const(1, "int32"), dtype="int32"
)
gv: R.Tensor((m, 1, k), dtype="int32") = lv2
R.output(gv)
return gv
```
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