Gabriel Rasskin

Results 24 comments of Gabriel Rasskin

Thank you @innat, as a temporary workaround you can call `processing_model.build((None, 224, 224, 3))` before the loop. Alternatively, the issue also goes away by setting tensorflow to eager mode so...

Hi @innat, would a custom metric work for this usecase? It should have access to model outputs as opposed to custom callbacks (which do not). https://keras.io/api/metrics/#creating-custom-metrics

Hi @andreped, thank you for all your work on this - would you be interested in contributing a PR adding gradient accumulation as a parameter to `fit`? Multi-GPU support should...

@fchollet @chenmoneygithub Please take a look! We're unsure whether L-BFGS-B is an optimizer we should add to Keras at this time.

Hi @innat, I'm preparing to release a callback that autotunes `steps_per_execution`. We've been able to see a significant speedup especially in distributed systems. The callback is still going through testing...

Hi @feelmyears, we still have to add more information on this in documentation and tutorials, but if you're using the nightly version of Keras you can try it out by...

Note this is still highly experimental and final implementation/results might vary.

Would you mind taking a look Rick? Thank you!

Hi @AlexanderLutsenko, I agree this is a pain point with Keras, working with different tensors we haven't yet standardized an indexing method. Ideally we want users to be able to...