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inkeras-team/keras (press backspace or delete to remove)

created this layer to monitor what s happening: class ReportingConv1D(Conv1D): def call(self, inputs): print(f {inputs.dtype} {inputs.shape} {self.kernel.dtype} {self.kernel.shape} {self.kernel.path} ...
type:Bug
  • pumpnineteen
  • 4
  • Opened 
    5 days ago
  • #21448

Page: https://www.tensorflow.org/api_docs/python/tf/keras/losses/SparseCategoricalCrossentropy The first example no longer functions. y_true = [1, 2] y_pred = [[0.05, 0.95, 0], [0.1, 0.8, 0.1]] # Using ...
type:Bug
  • bibhas2
  • Opened 
    11 days ago
  • #21426

I ve been playing around with Keras s built-in visualizations tool for a while and I feel like it could be improved a lot. The current visualization system doesn t provide much information at a glance ...
stat:awaiting keras-eng
type:feature
  • Soontosh
  • 2
  • Opened 
    12 days ago
  • #21421

Seems to be an issue with keras.ops.image.map_coordinates and TF backend. Seems to happen on both CPU and GPU. details closed summary Versions /summary br TF: 2.19.0 Keras: 3.10.0 JAX: 0.5.2 PyTorch: ...
type:Bug
  • tristan-deep
  • 1
  • Opened 
    12 days ago
  • #21420

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
  • 1
  • Opened 
    18 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
  • 5
  • Opened 
    19 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
  • 3
  • Opened 
    20 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
stat:contributions welcome
type:Bug
  • DLumi
  • 2
  • Opened 
    20 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 
    21 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 
    21 days ago
  • #21384
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