locnd182644 opened a new pull request, #18646:
URL: https://github.com/apache/tvm/pull/18646
### Summary
Cast NAN to bool gives true to ensure consistency with the existing
framework (C, C++, Python, Torch, NumPy, OnnxRuntime, ...).
### Steps to Reproduce
- Python:
```
bool(float('nan'))
```
> True
- Torch:
```
torch.tensor(float("nan"), dtype=torch.float32).to(torch.bool)
```
> tensor(True)
- Numpy:
```
import numpy as np
bool(np.nan)
```
> True
- TVM:
```
class Module:
def main(x: R.Tensor((), dtype="float32")) -> R.Tensor((), dtype="bool"):
with R.dataflow():
gv: R.Tensor((), dtype="bool") = R.astype(x, dtype="bool")
R.output(gv)
return gv
x = np.array(float("nan"), dtype="float32")
```
> False
### Expected
- TVM:
```
class Module:
def main(x: R.Tensor((), dtype="float32")) -> R.Tensor((), dtype="bool"):
with R.dataflow():
gv: R.Tensor((), dtype="bool") = R.astype(x, dtype="bool")
R.output(gv)
return gv
x = np.array(float("nan"), dtype="float32")
```
> True
### Resolved
- Replace the instruction `fcmp one` with `fcmp une` in LLVM.
- Citation:
https://releases.llvm.org/20.1.0/docs/LangRef.html#fcmp-instruction
<img width="400" height="200" alt="PR1-18605"
src="https://github.com/user-attachments/assets/cffeebd8-dfe6-436e-9c4c-61e1e84d5439";
/>
- Fixed: #18605
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