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pytorch numpy unification error #4774
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Description
Describe the bug
The following code works in 0.9.0 but not in 0.9.1. It gives the following exception:
> result = torch.quantile(x, q / 100.0, dim=dim, keepdim=keepdim)
E RuntimeError: quantile() q tensor must be same dtype as the input tensor
../../../venv3/lib/python3.8/site-packages/monai/transforms/utils_pytorch_numpy_unification.py:111: RuntimeError
To Reproduce
class TestScaleIntensityRangePercentiles:
def test_1(self):
import monai
transform = monai.transforms.ScaleIntensityRangePercentiles(lower=0, upper=99, b_min=-1, b_max=1)
import numpy as np
x = np.ones(shape=(1, 30, 30, 30))
y = transform(x) # will give error
Expected behavior
The test code pasted above passes.
Additional context
A possible solution is to change the code to:
def percentile(
...
q = torch.tensor(q, device=x.device, dtype=x.dtype)
result = torch.quantile(x, q / 100.0, dim=dim, keepdim=keepdim)
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