Kevin-XiongC commented on issue #13796:
URL: https://github.com/apache/tvm/issues/13796#issuecomment-1407934995
>
``` 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="float32")
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("float32")
m.set_input("x",x)
m.run()
print(m.get_output(1))
print(np.sum(x,dtype=bool))
```
Apologize for my carelessness. Now it should be the issue of relay.sum()
whose behavior is different from np.sum().
``` bash
False
True
```
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