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inkeras-team/keras (press backspace or delete to remove)The skip_mismatch flag when loading H5 weights is not respected unless by_name is also specified. Otherwise, it just
fails with an error:
ValueError Traceback (most recent ...
type:Bug
DLumi
- Opened 3 days ago
- #21404
import tensorflow as tf import keras from keras.src import ops
keras.backend.set_image_data_format( channels_first )
x = tf.zeros((3, 12, 224, 224))
output_upsampling_layer = keras.layers.UpSampling2D(size=(2, ...
type:Bug
tristandb8
- 4
- Opened 4 days ago
- #21401
This is very nit-picky, but I happened to look at the RNN constructor and see that a ValueError is raised when, by
definition, the exception should be a TypeError, right?
https://github.com/keras-team/keras/blob/764ed95651c1c7dfa71ca523287f6eeb514ccf77/keras/src/layers/rnn/rnn.py#L221-L225 ...
stat:awaiting response from contributor
type:Bug
jfdev001
- 1
- Opened 5 days ago
- #21391
Not sure if this is Torch or Keras issue, but simple LSTM models cannot be exported as ONNX.
TypeError: Exception encountered when calling LSTM.call().
unsupported operand type(s) for -: torch.return_types.max ...
backend:torch
type:Bug
DLumi
- 1
- Opened 5 days ago
- #21390
When using SKLearnClassifier or SKLearnRegressor wrappers with no other scikit-learn imports (such as
make_classification) the following error is raised:
AttributeError: module sklearn.utils has no ...
type:Bug
timovdk
- Opened 6 days ago
- #21386
The examples in the docstrings for SKLearnClassifier and SKLearnRegressor are currently not working. This is because of
several small issues:
- General issues:
- Importing layers from keras.src.layers ...
type:docs-bug
timovdk
- Opened 6 days ago
- #21384
A simple model like this:
inputs = keras.Input(shape=(sequence_length, raw_data.shape[-1]))
x = layers.Flatten()(inputs)
x = layers.Dense(16, activation= relu )(x)
outputs = layers.Dense(1)(x)
model = ...
backend:tensorflow
keras-team-review-pending
type:Bug
t-kalinowski
- 3
- Opened 9 days ago
- #21380
Whenever we try to save a keras-hub model after quantization, we are unable to load the quantized model. I ve tried
from_preset() method for that model, and also keras.models.load_model nothing works. ...
type:Bug
pctablet505
- 1
- Opened 10 days ago
- #21378
LossScaleOptimizer crash under jit_compile=True with MirroredStrategy and mixed_precision
Summary
When training a model using:
- tf.keras.mixed_precision.set_global_policy( mixed_float16 )
- tf.distribute.MirroredStrategy() ...
keras-team-review-pending
type:Bug
ielenik
- Opened 13 days ago
- #21366
I can t seem to get a NNX module to work with FlaxLayer. Normal flax works fine, but when I create a nnx.Module and
called nnx.bridge.ToLinen I get the error at the botttom.
class MyFlax(nn.Module): @nn.compact ...
backend:jax
type:Bug
joetoth
- 2
- Opened 15 days ago
- #21364

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