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9 Pull requests merged by 6 people
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Fix torch gpu CI
#20696 merged
Dec 28, 2024 -
Add random_posterization processing layer
#20688 merged
Dec 27, 2024 -
Introduces support for exporting
SavedModel
in the torch backend usingtorch-xla
#20685 merged
Dec 27, 2024 -
minor: Fix Functional API guide
#20694 merged
Dec 27, 2024 -
fix attention output with symbolic tensors and attention scores
#20689 merged
Dec 26, 2024 -
Add random_color_degeneration processing layer
#20679 merged
Dec 25, 2024 -
Fix: Return Attention Scores when
return_attention_scores=True
#20684 merged
Dec 24, 2024 -
Change the import order of pydot and its older forks
#20682 merged
Dec 23, 2024 -
Add training status condition during image processing
#20677 merged
Dec 22, 2024
3 Pull requests opened by 3 people
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Fix issue with nested model output as input
#20678 opened
Dec 23, 2024 -
Fix to issue #20616
#20683 opened
Dec 23, 2024 -
Add random_sharpness processing layer
#20697 opened
Dec 28, 2024
10 Issues closed by 3 people
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model.fit - class_weight broken
#20542 closed
Dec 27, 2024 -
Cannot call AttentionLayer with symbolic tensors and return_attention_scores=True in Keras 3
#20621 closed
Dec 26, 2024 -
Loading model fails: can only concatenate tuple
#19776 closed
Dec 26, 2024 -
ValueError when trying to load a .keras model created using Functional API
#19803 closed
Dec 26, 2024 -
InvalidArgumentError: Graph execution error:
#20006 closed
Dec 26, 2024 -
Accuracy is lost after save_weights/load_weights
#20524 closed
Dec 26, 2024 -
Need to explicitly specify `x` and `y` instead of using a generator when the model has two inputs.
#20518 closed
Dec 25, 2024 -
keras==3.7.0 - Attention(... return_attention_scores=True) does not work
#20680 closed
Dec 24, 2024 -
Consider changing the import order of `pydot` and its forks
#20681 closed
Dec 23, 2024
6 Issues opened by 6 people
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The default setting for aggregation='mean' for variables and optimizers is incorrect.
#20699 opened
Dec 28, 2024 -
The default setting for aggregation='mean' in Variable and Optimizer is incorrect.
#20698 opened
Dec 28, 2024 -
Variable and Optimizer aggregation='mean' default is incorrect
#20695 opened
Dec 27, 2024 -
Loading a model created and trained in Keras 2. in new Keras 3.7 env for inference
#20687 opened
Dec 25, 2024 -
Error after upgrade from 3.6 to 3.7
#20686 opened
Dec 24, 2024
16 Unresolved conversations
Sometimes conversations happen on old items that aren’t yet closed. Here is a list of all the Issues and Pull Requests with unresolved conversations.
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Fixing batch_dim_name attribute
#20674 commented on
Dec 27, 2024 • 3 new comments -
[Possible Bug]: Device management issue when using Torch Modules inside Keras Models
#18411 commented on
Dec 23, 2024 • 0 new comments -
🚀 Contributing to Keras 🚀
#18442 commented on
Dec 23, 2024 • 0 new comments -
EfficientNetLiteB0Backbone in KerasHub
#20593 commented on
Dec 24, 2024 • 0 new comments -
I want to propose a PR for an new ops, which could be in the form of a tritionor a CUDA kerne?
#20658 commented on
Dec 24, 2024 • 0 new comments -
cannot load fine-tuned model
#19518 commented on
Dec 24, 2024 • 0 new comments -
tf.keras compatibility: convert multi-label-classification to Keras Core
#18438 commented on
Dec 24, 2024 • 0 new comments -
Unable to load finetuned keras model.
#19808 commented on
Dec 24, 2024 • 0 new comments -
Untracked embedding layer inside Sequential keras 3 model
#20676 commented on
Dec 26, 2024 • 0 new comments -
TokenAndPositionEmbedding layer warning---Respecting padding mask or destroying it?
#19794 commented on
Dec 26, 2024 • 0 new comments -
[BUG] Conflicting loss_weights implementation in Keras3 for single output case.
#19780 commented on
Dec 27, 2024 • 0 new comments -
Think about Keras3 preference, should I develop my distributed training CTR model based on Jax or TensorFlow?
#19866 commented on
Dec 27, 2024 • 0 new comments -
Keras deserialization Object Error - from keras.saving.legacy.serialization import deserialize_keras_object ImportError: cannot import name 'deserialize_keras_object' from
#19426 commented on
Dec 27, 2024 • 0 new comments -
Unless specified otherwise, keras.Input defaults to 'float32', regardless of the current 'floatx' setting
#19332 commented on
Dec 27, 2024 • 0 new comments -
How to implement train_step with multiple gradient calculations with a JAX backend? Ex. GAN
#18881 commented on
Dec 27, 2024 • 0 new comments -
Request for developer guide: multi-node TPU distributed training with JAX
#20356 commented on
Dec 28, 2024 • 0 new comments