Mohammed Innat

@ianstenbit (not 100% sure), From TF, there is a method [recompute_grad](https://www.tensorflow.org/api_docs/python/tf/recompute_grad) for this. In EfficientDet official [repo](https://github.com/google/automl/tree/master/efficientdet#11-reducing-memory-usage-when-training-efficientdets-on-gpu), they used it for gradient-checkpiont, [code](https://github.com/google/automl/blob/f42454c547085e9855be6a0f73c4c9bae8cd71a2/efficientdet/tf2/efficientdet_keras.py#L427). https://github.com/pidajay/addons/blob/grad_checkpointing_eager/docs/tutorials/training_gradient_checkpointing.ipynb

> Thanks @kvarekamp for the request! We have a autotuning callback that's currently WIP. We are currently a bit short on resources but this remains a high priority. Hi @rchao,...

> A small number of items are likely to affect you ..., TF SavedModel support changes, For backend agnostic, this may reasonable change (but quite big change). What about the...

It's because you're trying to load `TF`* prefix checkpoint which created for `keras 2`. You need to load keras 3 checkpoint. For details, please share the reproducible code.

Clossing it for inactivity.

@divyashreepathihalli > @innat Thanks for filing the issue! Are you interested in contributing? Unfortunately I don't have long bandwidth to keep working on this feature, (I've noticed there are many...

@simeetnayan81 As you're new to keras-cv, first take a look how they iimplemented [backbone](https://github.com/keras-team/keras-cv/tree/master/keras_cv/models/backbones) and [image classification](https://github.com/keras-team/keras-cv/tree/master/keras_cv/models/classification) task. According to that, you may start adding video swin as backbone and...

@ID6109 @simeetnayan81 Thank you both. Feel free to start working. You guys can collaborate to each other. Check out the resource I shared in the first post. Note, unlike image...

@divyashreepathihalli Is it acceptable to take [guideline](https://keras.io/guides/keras_cv/) from practitioner?

Check this discussion. https://github.com/keras-team/keras/issues/19023