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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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