Comments (3)
Seems that all the failures are related to MPS - pinging @qqaatw as you've been our POC on this so far :)
Do you have any idea what might be causing this? Has there been any change on the PyTorch core side related to MPS that could be the source? Thanks!
from vision.
Hmm, it looks related to MPSAllocator. cc @kulinseth
from vision.
Looks like it wasn't directly related to MPS but rather related to the recent drop of macos x86 support from pytorch. After #8446 I see the MPS tests passing, so I'll close this issue.
Thank you for your prompt response @qqaatw !
from vision.
Related Issues (20)
- ConvertImageDtype not converting properly from uint8 HOT 3
- loss_box_reg increasing while training mask rcnn HOT 1
- Torch Load Warning causing test suite to fail. HOT 5
- Prebuilt .whl and .conda of torchvision for aarch64 + cuda
- RuntimeError: Argument #4: Padding size should be less than the corresponding input dimension for v2 transforms HOT 4
- ImageReadMode should support strings
- Better decoder docs
- Suitable augmentation of Keras in Pytorch HOT 1
- Detection lr_scheduler.step() called every step instead of every epoch HOT 1
- Use COCO Mask Parsing from pycocotools HOT 1
- Simplify transfer learning by modifying get_model() HOT 1
- Grayscale transform does not work correctly for 3 channels to 1. HOT 2
- Deepcopy of torchvision.models.feature_extraction.DualGraphModule breaks eval HOT 1
- error: invalid argument '-std=c++17' not allowed with 'C' HOT 1
- Missing f-string at the error messages in torchvision.utils._parse_colors HOT 1
- `torchvision.datasets.Imagenette()` might raise RuntimeError when setting `download=True`
- Cleanup IN_FBCODE logic
- Audio is longer than original audio when using write_video
- All windows conda build jobs are failing
- Apple Clang 16 build issue, requires ld_classic
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from vision.