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inkeras-team/keras (press backspace or delete to remove)

This seems to be a breaking change and I don t see it documented in the release notes. If you save a model and then load it, the type of model.input was KerasTensor in 3.9.2 (and as far back as I can ...
keras-team-review-pending
type:Bug
  • mmtrebuchet
  • 1
  • Opened 
    2 days ago
  • #21328

Can keras-team add a guide on how to update the documentation? So far, I have submitted to roformerV2, modelscope download source, and Muon optimizer for keras and keras_hub projects. But the documentation ...
type:docs
type:feature
  • pass-lin
  • Opened 
    6 days ago
  • #21322

🐞 Bug Description There are many cases where Dense layers are applied across multiple batch dimensions. However, when wrapped in a SpectralNormalization layer, the layer only works for the batch shape ...
type:Bug
  • stefanradev93
  • 1
  • Opened 
    7 days ago
  • #21320

It seems that layers.Rescaling will broadcast its input to match the size of the provided gain/offset parameters. This may or may not be expected behaviour (it s not clear from the documentation). What ...
type:Bug
  • optiluca
  • 1
  • Opened 
    7 days ago
  • #21319

I don t have minimum viable example to provide, but on tpu there has been a significant performance regression. git diff v3.10.0 pr-21187 -- keras/src/backend/jax/ Training step time across many models ...
backend:jax
type:performance
  • rivershah
  • 5
  • Opened 
    7 days ago
  • #21316

PyTorch provides specialized cudnn operators for many common implementations, such as F.group_norm In the past speed test benchmarks of the keras-team, we can also find that the torch backend of keras ...
stat:contributions welcome
type:feature
  • pass-lin
  • 1
  • Opened 
    8 days ago
  • #21313

Found another bug for this api. If I import timeseries_dataset_from_array like from keras.utils import timeseries_dataset_from_array , some errors occur with logs below. However, if I import it like from ...
stat:awaiting response from contributor
type:Bug
  • zhangpanzhan
  • 2
  • Opened 
    9 days ago
  • #21306

1. if you refer to documentary of timeseries_dataset_from_array, there is an example similarly like this ( I changed parameter for quickly proof): data = np.arange(10) x = data[:-3] # x will be [0, ...
stat:awaiting response from contributor
type:docs
  • zhangpanzhan
  • 1
  • Opened 
    9 days ago
  • #21305

When using model.evaluate(), the metric values displayed in the progress bar differ from the values returned by the method. There appears to be double averaging happening - the batch values are already ...
type:Bug
  • ielenik
  • 1
  • Opened 
    11 days ago
  • #21301

Expected behavior When I create a custom PyDataset and then pass it into the Normalization adapt method, the mean and variance should be computed successfully, as for a TensorFlow dataset. Actual behavior ...
stat:contributions welcome
type:Bug
  • limzikiki
  • 3
  • Opened 
    11 days ago
  • #21300
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