Francis LataandGitHub eb2e59db42 RetinaNet model type annotations and loss functions (#9822) ...

* add type annotations and loss functions for training

* combine sum of multiple dims inside loss functions

2025-04-10 00:31:37 -04:00

..

bert.py

insert float() in bert acc (#9726)

2025-04-03 05:44:09 -04:00

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

olmoe (from stream, wip) (#9390)

2025-03-10 13:46:33 +08:00

mask_rcnn.py

move BoxCoder to mlperf helpers (#9773)

2025-04-07 20:27:06 -04:00

resnet.py

Fix FC layer ResNet load_from_pretrained error (#8387)

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

retinanet.py

RetinaNet model type annotations and loss functions (#9822)

2025-04-10 00:31:37 -04:00

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