Related Issues (20)
- cutmix alpha argument in references/classification/transforms.py HOT 1
- torchvision manywheel py 3.11, cuda failure HOT 6
- Let `v2.functional.gaussian_blur` backprop through `sigma` parameter HOT 3
- TestLinearTransform.test_transform[cpu-dtype1-make_image_tensor] is flaky
- M1 jobs are all failing HOT 2
- mean/variance naming consistency
- bad_alloc when using Conv2d after torchvision.io.read_video
- Support NumPy 2.0 HOT 3
- Torchvision nightly not being published for Linux, Python 3.11. CUDA 11.8 HOT 2
- SBDataset downloads fails because train_noval.txt is no more available at the specified url HOT 3
- Put back MPS builds HOT 6
- M1 conda-py3_11-cpu failing HOT 1
- Batched (random) augmentations HOT 3
- nconsistency between torchvision.datasets.cifar.CIFAR10.data return and torchvision.datasets.cifar.CIFAR10.__getitem__() HOT 3
- Efficientnet_b3 pretrained model load with invalid hash value HOT 1
- Swin Transformer stochastic_depth_prob arguments HOT 1
- Improve empty import time of torchvision HOT 2
- MD5 checksum of the download file ./data/celeba/img_align_celeba.zip does not match HOT 2
- celebA dataset issue with downloading HOT 1
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