CharlesNord
CharlesNord
> Hi @mkocabas, > > There is a slight mismatch in the notation used to denote the extracted dimensions from the shape of the input tensor. [here](https://github.com/mkocabas/CoordConv-pytorch/blob/master/CoordConv.py#L84) > > ```...
In fact, there are not much in common between stargan and stargan v2
I think this can help to stabilize the weight update. Since stochastic gradient descent could sometimes lead to the wrong optimization direction, making the training noisy. Averaging with the recent...
I found the comment under this issue could be the answer: https://github.com/clovaai/stargan-v2/issues/62
I encountered with the same issue, did you solve it ? I can generate the desired model by command line, but cannot use python api.
I finally solved the problem, Just delete the `pycuda.autoinit` in `ImagenetCalibrator.py` and add it in the beginning of the `onnx_to_tensor.py` the generated engine should live in the CUDA context created...
In file `/Path/to/your/virtualenvs/envs/inpainting/lib/python3.8/site-packages/clip/clip.py` temporarily modify the following lines: ```python with urllib.request.urlopen(url) as source, open(download_target, "wb") as output: ``` to ```python import ssl context = ssl._create_unverified_context() with urllib.request.urlopen(url, context=context) as source,...
have you solved the problem?
from kornia.constants import SamplePadding
Because the author used the categorical batch normalization