Not yet, it is not appropriate to modify the pass level cause it may impact
other cases. I reported a bug and am still waiting for suggestions from the
community.
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Wow, thanks. I'm not sure assigning opt_level to 0 is legal or not. BTW, has
this problem been solved?
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Hi @Haoyang I think it is as same as [[Bug][VM] Segmentation fault triggered if
opt level set to 0 · Issue #10324 · apache/tvm
(github.com)](https://github.com/apache/tvm/issues/10324)
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You are
Hi all, I met a segmentation fault after running the following script:
```
import tvm
from tvm import relay
var_0 = relay.var("var_0", shape=(), dtype="float64")
var_1 = relay.var("var_1", shape=(), dtype="float64")
var_2 = relay.add(var_0, var_1)
tuple = relay.Tuple([var_2])
func = relay.Funct
Depends on your model. We lack support for `embedding_bag` op, which is very
important in DLRM etc. So performance may not be great.
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I usually know that tvm can be used for DL models, but can it be used for
Recommendation System?
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