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inkeras-team/keras (press backspace or delete to remove)you can found this bug at https://github.com/keras-team/keras-hub/actions/runs/14945179346/job/41987578280?pr=2244 and
https://github.com/keras-team/keras-hub/pull/2244
This is the error I encountered ...
pass-lin
- Opened 14 hours ago
- #21272
Hi all, When I build the model with RandomGrayscale in my image augmentation layers it gives the following error:
---------------------------------------------------------------------------
ValueError ...
keras-team-review-pending
type:Bug
AlundorZhu
- Opened 2 days ago
- #21268
Hi,
I’m using the following setup:
import numpy as np
import tensorflow as tf
print(f NumPy version: {np.__version__} ) # 1.26.4
print(f TensorFlow version: {tf.__version__} ) # 2.18.0
print(f ...
type:support
RPlumey-asulab
- 6
- Opened 3 days ago
- #21259
Bug description
When exporting a keras model in tf_saved_model format to use it in tensorflow-serving server I ve encountered the
following error:
Traceback (most recent call last):
File /home/tom/kml/repos/various/tf_serving_client/tf_serving_client/min_example.py ...
type:Bug
ebnertom
- 1
- Opened 3 days ago
- #21258
keras.layers.StringLookup throws an error when calling on a torch.Tensor or a numpy array (although, both are supposed
to be valid backends?)
Colab example: https://colab.research.google.com/drive/1MYcIsJJuiPcvykC8ifOyE4vQk6aAo2UQ ...
type:Bug
DLumi
- 1
- Opened 4 days ago
- #21255
I m adding Qwen3 s implementation to Keras_hub, and now I m encountering a problem.
The tokenizer of qwen3 and qwen2 is the same. But we can t convert it directly with keras_hub. What s the reason for ...
- Opened 8 days ago
- #21242
i cannot find the layers method used in this guide on the keras model class refrence
vgg19 = keras.applications.VGG19()
features_list = [layer.output for layer in vgg19.layers]
vgg19.layers?
stat:awaiting response from contributor
type:support
habib-source
- 1
- Opened 8 days ago
- #21240
The documentation mentions that rms_scaling: If True, center and scale are ignored, and the inputs are scaled by gamma
and the inverse square root of the square of all inputs. This is an approximate and ...
type:docs
mzhukova
- 1
- Opened 10 days ago
- #21234
I think this might be a tech issue so I opened issue from disscutions to here.
Issue description: My test on Keras 3 may cannot set selected device correctly with DirectML based PyTorch backend. I
looked ...
stat:contributions welcome
type:Bug
TaiXeflar
- 4
- Opened 10 days ago
- #21228
Hi everyone,
I am trying to better understand how the Keras MultiHeadAttention layer handles the dimensions internally.
Suppose I input a tensor of shape (32, 24, 21) meaning (batch_size, time_steps, ...
type:support
SyedHasnat
- Opened 12 days ago
- #21219
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