chenyuandGitHub 1692087db5 _one_hot_along_dim input needs to be int (#9179) ...

* _one_hot_along_dim input needs to be int

indexing and onehot compare with arange, and non-int dtype is likely a bug

2025-02-20 09:00:43 -05:00

..

bert.py

bert use int32 for input ids (#9173)

2025-02-19 08:17:27 -05:00

clip.py

clip device fix (#6924)

2024-10-07 00:47:32 +08:00

convnext.py

move to new cached fetch (#2493)

2023-11-28 17:36:55 -08:00

efficientnet.py

remove the magic methods for moving between devices [pr] (#6881)

2024-10-04 20:27:52 +08:00

inception.py

Compute FID Score (#6802)

2024-10-01 19:47:58 -04:00

llama.py

workaround f16 cast ambiguity (#8935)

2025-02-11 09:38:56 +08:00

mask_rcnn.py

explicitly check value for not None (#8382)

2024-12-23 11:12:39 -05:00

resnet.py

Fix FC layer ResNet load_from_pretrained error (#8387)

2024-12-26 18:11:27 -05:00

retinanet.py

combine pad2d with pad (#7677)

2024-11-14 17:56:02 +08:00

rnnt.py

change Tensor.stack to method (#4719)

2024-05-24 17:04:19 -04:00

t5.py

Flux.1 (#6334)

2024-09-24 10:08:04 +08:00

transformer.py

_one_hot_along_dim input needs to be int (#9179)

2025-02-20 09:00:43 -05:00

unet3d.py

move to new cached fetch (#2493)

2023-11-28 17:36:55 -08:00

unet.py

These casts should only happen if these are supported (#7644)

2024-11-12 07:56:50 +08:00

vit.py

move to new cached fetch (#2493)

2023-11-28 17:36:55 -08:00