Issues

• Keras-MXNet directly crash when the hidden layer size of LSTM is 1

  awslabs/keras-apache-mxnet#272 · Filter by author maybeLee opened on Sep 3, 2021

• [Bug] Keras misconsiders the output of bias initialization method in dense layer as a scalar instead of a vector

  awslabs/keras-apache-mxnet#271 · Filter by author maybeLee opened on Aug 18, 2021

• NotImplementedError: Separable Conv1D is not supported in current MXNet

  awslabs/keras-apache-mxnet#269 · Filter by author GundamBen opened on Apr 15, 2021

• Weighted Loss Function feature requirement

  awslabs/keras-apache-mxnet#267 · Filter by author kdgutier opened on Oct 9, 2020

• use keras pretrained model, save_mxnet_model error

  awslabs/keras-apache-mxnet#260 · Filter by author Juldeng opened on Apr 23, 2020

• Inconsistency between the result of model.predict() and the output value of the last layer of the model

  awslabs/keras-apache-mxnet#257 · Filter by author Justobe opened on Mar 4, 2020

• mxnet.base.MXNetError: Error in operator transpose176: [02:14:06] src/operator/tensor/./matrix_op-inl.h:354: Check failed: shp.ndim() == param.axes.ndim() (-1 vs. 4)

  awslabs/keras-apache-mxnet#256 · Filter by author Justobe opened on Jan 8, 2020

• ConvTranspose3D with 2 dim

  awslabs/keras-apache-mxnet#253 · Filter by author JCuomo opened on Dec 12, 2019

• Future of MXNet backend?

  awslabs/keras-apache-mxnet#246 · Filter by author ssbusc1 opened on Sep 27, 2019

• Conv3D in MXNet: error with Tensor shape

  bug
  awslabs/keras-apache-mxnet#240 · Filter by author sdbonte opened on Jul 12, 2019

• InferShape cannot decide shapes when adding a Dropout layers

  awslabs/keras-apache-mxnet#235 · Filter by author gregoirerllr opened on Jun 25, 2019
  1

• Softmax operator shape inference

  training
  awslabs/keras-apache-mxnet#233 · Filter by author roywei opened on May 25, 2019

• Different layer input/output shapes between tensorflow and mxnet backend

  awslabs/keras-apache-mxnet#231 · Filter by author KocsisV opened on May 1, 2019

• Masking Layer doesn't work after adding a NaiveRunGraph feature in MXNet

  awslabs/keras-apache-mxnet#228 · Filter by author karan6181 opened on Mar 29, 2019
  2

• Old versions of mxnet and keras-mxnet not compatible

  bug
  awslabs/keras-apache-mxnet#226 · Filter by author roywei opened on Feb 28, 2019

• Use of constant tensor in custom loss fails

  feature request
  awslabs/keras-apache-mxnet#224 · Filter by author efournie opened on Jan 31, 2019
  4

• Composing Models does not work with the MXNet backend

  feature requesttraining
  awslabs/keras-apache-mxnet#223 · Filter by author ssbusc1 opened on Jan 15, 2019
  2

• Optimizer initialization should set rescale_grad appropriately

  enhancementfeature request
  awslabs/keras-apache-mxnet#210 · Filter by author kalyc opened on Dec 18, 2018

• Add rerun for failed flaky test

  CI
  awslabs/keras-apache-mxnet#209 · Filter by author roywei opened on Dec 15, 2018

• Models not supported in Keras-Applications

  enhancement
  awslabs/keras-apache-mxnet#207 · Filter by author roywei opened on Nov 1, 2018
  1

• Possible Memory Leak

  training
  awslabs/keras-apache-mxnet#195 · Filter by author Cpruce opened on Oct 9, 2018
  7

• Pickling not working for mxnet backend

  feature request
  awslabs/keras-apache-mxnet#194 · Filter by author roywei opened on Oct 8, 2018

• 'Please provide input shape. Given input shape - ', input_shape) ValueError: ('MXNet Backend: Cannot automatically infer shape for convolution operator.Please provide input shape. Given input shape - ', (0, 3, 0, 0))

  training
  awslabs/keras-apache-mxnet#188 · Filter by author wiwatarm opened on Oct 5, 2018
  4

• Improve CI to track MXNet deprecated or changed API

  CIenhancement
  awslabs/keras-apache-mxnet#173 · Filter by author roywei opened on Sep 17, 2018

• Error in Conv1D after Lambda dropping 1 input axis

  bugtraining
  awslabs/keras-apache-mxnet#161 · Filter by author michelegalante opened on Aug 27, 2018
  5