Kevin-XiongC opened a new issue, #13796:
URL: https://github.com/apache/tvm/issues/13796
``` python
import tvm
from tvm import relay
from tvm.contrib import graph_executor
import numpy as np
x=relay.var("x",shape=[2,2],dtype="int32")
t1=relay.cast(x,"bool")
y=relay.sum(t1)
f = relay.Function([x],relay.Tuple([t1,y]))
mod = tvm.IRModule({"main":f})
target = "llvm"
with tvm.transform.PassContext(opt_level=3 ):
lib = relay.build(mod, target=target)
m = graph_executor.GraphModule(lib['default'](tvm.cpu()))
x = np.ones((2,2)).astype("int32")
print(x)
m.set_input("x",x)
print(m.get_output(0))
print(m.get_output(1))
```
The code snippets above should be equivalent to below:
### Expected behavior
What you were expecting
### Actual behavior
What actually happened
### Environment
Any environment details, such as: Operating System, TVM version, etc
### Steps to reproduce
Preferably a minimal script to cause the issue to occur.
### 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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