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I built the custom layers via "python3 setup.py install --user" in each directory (of resample2d, channelnorm, correlation).
However, after importing the following custom layer,
from ...(some_path)... correlation_package.correlation import Correlation
I cannot transfer the tensor to the GPU:
a = np.array(1)
torch.from_numpy(a).to('cuda')
producing the following error.
RuntimeError: CUDA error: the provided PTX was compiled with an unsupported toolchain.
(but, torch.cuda.is_available() returns True)
my settings are as follows:
GPU: RTX 3080 Ti
driver: 510.108.03
CUDA: 11.7 (I also tried with 11.1 but the same error occurred!)
PyTorch: 2.0.0
Is there any related-issue about this?
Thank you
The text was updated successfully, but these errors were encountered:
I built the custom layers via "python3 setup.py install --user" in each directory (of resample2d, channelnorm, correlation).
However, after importing the following custom layer,
I cannot transfer the tensor to the GPU:
a = np.array(1) torch.from_numpy(a).to('cuda')
producing the following error.
(but, torch.cuda.is_available() returns True)
my settings are as follows:
Is there any related-issue about this?
Thank you
The text was updated successfully, but these errors were encountered: