talha-ahsan opened a new issue, #17589:
URL: https://github.com/apache/tvm/issues/17589
### Environment Information
OS: Ubuntu 20.04 LTS
Python: 3.10.4
TVM: v0.18.0 built from source with CPU only, no GPU usage in place
### Steps to Reproduce:
```python
import tvm
from tvm import tir
from tvm.tir.analysis.analysis import verify_well_formed, verify_memory
from tvm.script import tir as T
@T.prim_func
def main(p0: T.Buffer((1, 4, 4, 512), "float32"), T_relu: T.Buffer((1, 4, 4,
512), "float32")):
T.func_attr({"from_legacy_te_schedule": T.bool(True), "hash":
"8a54a445c9c66af6", "target": T.target({"host": {"keys": ["cpu"], "kind":
"llvm", "mtriple": "x86_64-pc-linux-gnu", "tag": ""}, "keys": ["cpu"], "kind":
"llvm", "mtriple": "x86_64-pc-linux-gnu", "tag": ""}), "tir.noalias":
T.bool(True)})
for ax0_ax1_fused in T.parallel(4):
for ax2, ax3_outer in T.grid(4, 32):
f6a = T.uint32()
cse_var_1: T.int32 = T.max(-1390372897,
T.Shuffle([T.Broadcast(T.Cast("int32", T.ldexp(T.Cast("float32",
T.Shuffle([T.Broadcast(1845025892, 3)], [0])), T.Cast("float32",
T.Shuffle([T.Broadcast(928309885, 3) - T.Broadcast(-929172350, 3)], [2])))),
3), T.Broadcast(1237026474, 4) // T.Broadcast(-136990005, 4) *
T.min(T.Broadcast(2087815492, 4), T.Broadcast(73625980, 4)),
T.Broadcast(-1604583078, 3), T.Broadcast(T.Cast("int32",
T.nextafter(T.Cast("float32", T.Shuffle([T.Broadcast(-1615280813, 2)], [0])),
T.Cast("float32", T.Shuffle([T.Broadcast(217806831, 2)], [1])))), 2),
T.min(T.Cast("int32x3",
T.max(T.Broadcast(T.fabs(T.Shuffle([T.Broadcast(T.float32(0.18184940914562642),
3)], [2])), 3), T.truncmod(T.max(T.Broadcast(T.float32(0.25323582565477309),
3), T.Broadcast(T.float32(0.45124937914803442), 3)),
T.Broadcast(T.float32(0.84180151259624503), 3))) *
T.Broadcast(T.float32(0.85337293296299876), 3)), T.Div(T.Broadcast(1075650555,
3), T.Broadcast(-1611576096, 3))) % T.Cast(
"int32x3", T.min(T.min(T.Broadcast(T.Cast("uint32", T.sqrt(T.Cast("float32",
T.Mul(T.uint32(172697918), T.uint32(41149579))))), 3),
T.Broadcast(T.uint32(1159702194), 3)), T.Broadcast(T.Cast("uint32",
T.popcount(T.Cast("int32", T.Shuffle([T.Broadcast(T.uint32(908195236), 3) +
T.Broadcast(T.uint32(653293327), 3)], [2])))), 3)))],
[T.Let(T.Broadcast(T.uint32(1121529639), 3), where={f6a:
T.uint32(192542249)})])) + ax2 * 512 + ax3_outer * 16
T_relu_1 = T.Buffer((8192,), data=T_relu.data)
p0_1 = T.Buffer((8192,), data=p0.data)
T_relu_1[cse_var_1:cse_var_1 + 16] =
T.max(p0_1[cse_var_1:cse_var_1 + 16], T.Broadcast(T.float32(0.0), 16))
func = main
mod = tvm.ir.IRModule({'main': func})
if not verify_well_formed(mod) and verify_memory(func):
print("Validation failed")
else:
print("Beginning Compilation")
with tvm.transform.PassContext(opt_level=4):
nopt_mod = tvm.build(mod)
print("Success!")
```
### Expected Behavior:
Successful Compilation or a reason for why the compilation target is invalid
Reality: Segmentation fault (core dumped) when testing
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