picard314

Results 7 comments of picard314

RuntimeError: expected scalar type BFloat16 but found Float

> have you solved the issue? Yes I have. It is due to the incompatiblity of pytorch with cuda.

RuntimeError: expected scalar type BFloat16 but found Float

Embarrassingly, I have turned to use the gpu to circumvent such issue. The incompatiblity was in fact a problem I met when I used gpu. I have not seen into...

RuntimeError: expected scalar type BFloat16 but found Float

@wobblytables mine is cuda 11.4 If for cuda 11.7, I think installation needs to be conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 pytorch-cuda=11.7 -c pytorch -c nvidia

packaging.version.InvalidVersion: Invalid version: '0.10.1,<0.11'

> * `packaging.version.InvalidVersion: Invalid version: '0.10.1,

My compliment to your wonderful work! Do you have plan to generate high quality right image making the pair ready for 3D movies?

> Hi. MiDaS generates pseudo supervision from stereo movies. https://github.com/isl-org/MiDaS Thanks so much! I've found some. :)

TypeError: upfirdn2d() takes from 2 to 8 positional arguments but 10 were given

> Please check the shape of `cond_img`, it should be `(batch, 3, 256, 256)` Thanks very much for your reply~ I've printed the shape of cond_img and it is "torch.Size([3,...

TypeError: upfirdn2d() takes from 2 to 8 positional arguments but 10 were given

> Thanks very much for your informations. I just used your from torch.utils.cpp_extension import load module_path = os.path.dirname(__file__) upfirdn2d_op = load( "upfirdn2d", sources=[ os.path.join(module_path, "upfirdn2d.cpp"), os.path.join(module_path, "upfirdn2d_kernel.cu"), ], ) instead...