qzylalala opened a new issue, #15085:
URL: https://github.com/apache/tvm/issues/15085

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   ### Expected behavior
   
   Get schedule `s`
   
   ### Actual behavior
   
   ```
   16:45:36] /home/XXX/work_space/tvm/src/ir/transform.cc:440: Running pass 
tir.Filter
   [16:45:36] /home/XXX/work_space/tvm/src/ir/transform.cc:440: Running pass 
tir.BindTarget
   [16:45:36] /home/XXX/work_space/tvm/src/ir/transform.cc:440: Running pass 
tir.LowerTVMBuiltin
   [16:45:36] /home/XXX/work_space/tvm/src/ir/transform.cc:440: Running pass 
tir.LowerCustomDatatypes
   [16:45:36] /home/XXX/work_space/tvm/src/ir/transform.cc:440: Running pass 
tir.LowerIntrin
   [16:45:36] /home/XXX/work_space/tvm/src/ir/transform.cc:440: Running pass 
tir.LowerDeviceStorageAccessInfo
   [16:45:36] /home/XXX/work_space/tvm/src/ir/transform.cc:440: Running pass 
tir.CombineContextCall
   [16:45:36] /home/XXX/work_space/tvm/src/ir/transform.cc:440: Running pass 
tir.Filter
   [16:45:36] /home/XXX/work_space/tvm/src/ir/transform.cc:440: Running pass 
tir.BindTarget
   [16:45:36] /home/XXX/work_space/tvm/src/ir/transform.cc:440: Running pass 
tir.LowerWarpMemory
   [16:45:36] /home/XXX/work_space/tvm/src/ir/transform.cc:440: Running pass 
tir.Simplify
   [16:45:36] /home/XXX/work_space/tvm/src/ir/transform.cc:440: Running pass 
tir.LowerCustomDatatypes
   [16:45:36] /home/XXX/work_space/tvm/src/ir/transform.cc:440: Running pass 
tir.LowerDeviceStorageAccessInfo
   [16:45:36] /home/XXX/work_space/tvm/src/ir/transform.cc:440: Running pass 
tir.LowerIntrin
   [1]    30284 segmentation fault (core dumped)  python te.py
   ```
   
   And when I debuged, I found that it got an error at this line
   
https://github.com/apache/tvm/blob/6c6ad6c43ad3cb378866683ed322316b173267aa/src/target/llvm/codegen_llvm.cc#L724
   ### Environment
   
   Operating System: Ubuntu1804
   TVM version: Latet
   LLVM: llvm-17
   
   ### Steps to reproduce
   
   ```
   import tvm
   import tvm.testing
   from tvm import te
   import numpy as np
   
   tgt = tvm.target.Target(target="llvm")
   
   n = te.var("n")
   A = te.placeholder((n,), name="A")
   B = te.placeholder((n,), name="B")
   
   C = te.compute(A.shape, lambda i: A[i] + B[i], name="C")
   s = te.create_schedule(C.op)
   
   fadd = tvm.build(s, [A, B, C], tgt, name="myadd")
   ```
   
   ### Triage
   
   Please refer to the list of label tags 
[here](https://github.com/apache/tvm/wiki/Issue-Triage-Labels) to find the 
relevant tags and add them below in a bullet format (example below).
   
   * needs-triage
   


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