chengven027-intellif opened a new issue, #12198:
URL: https://github.com/apache/tvm/issues/12198
I do a test with scatterND:
```
def test_scatternd():
def before():
data = relay.const(np.zeros((1, 900, 300), dtype="float32"),
dtype="float32")
indices = relay.const(np.ones((3, 1, 900, 300), dtype="int64"),
dtype="int64")
update = relay.const(np.ones((1, 900, 300), dtype="float32"),
dtype="float32")
b = relay.op.scatter_nd(data, indices, update)
return relay.Function(relay.analysis.free_vars(b), b)
passes = tvm.transform.Sequential(
[
relay.transform.InferType(),
relay.transform.FoldConstant(),
]
)
before_mod = tvm.IRModule.from_expr(before())
with tvm.transform.PassContext(opt_level=3):
after_mod = passes(before_mod)
```
I found if the shape is (1, 900, 200), the after_mod will success execute.
and if I use the shape of (1, 900, 300). I will get a Segmentation fault.
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