vacu9708 commented on issue #17997:
URL: https://github.com/apache/tvm/issues/17997#issuecomment-2903014765
Below is how I tested.
```python
ref_np = ref_output.numpy().astype('float32')
opt_np = opt_mod_output.numpy().astype('float32')
# absolute difference
diff = np.abs(ref_np - opt_np)
# 1 ULP at each ref element
ulp = np.abs(np.spacing(ref_np))
# allow up to N ULP
N = 1
mask = diff > (N * ulp)
if mask.any():
bad = np.argwhere(mask)
print(f"{len(bad)} elements differ by more than {N} ULP:")
for idx in bad[:10]:
i = tuple(idx)
print(f" idx={i}: ref={ref_np[i]:.8e}, opt={opt_np[i]:.8e}, "
f"diff={diff[i]:.8e}, 1ULP@ref={ulp[i]:.8e}")
if len(bad) > 10:
print(f" …and {len(bad)-10} more")
else:
print(f"All values within {N} ULP of reference.")
```
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