KnowingNothing opened a new issue #5798:
URL: https://github.com/apache/incubator-tvm/issues/5798
This is an extreme case in which tvm will give Segmentation Fault.
```py
import tvm
def test1(repeat=10):
A = tvm.te.placeholder([4, 4])
Output = tvm.te.compute([4, 4], lambda i, j: A[i, j] + 1)
for i in range(repeat):
Output = tvm.te.compute([4, 4], lambda i, j: Output[i, j] + 1)
sch = tvm.te.create_schedule(Output.op)
func = tvm.build(sch, [A, Output], target="llvm")
if __name__ == "__main__":
test1(680)
```
But for some reason, I want tvm to be able to handle such a case, is there
any fix to make it?
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