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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
- 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
- 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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