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## Description
Hello, we try to use keras as the front-end to run Mxnet, but find several Mxnet crashes, we are not should if there is a real bug trigger by those model, so we collected the Execution…
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Platform (like ubuntu 16.04/win10): ubuntu 18.04
Python version: 3.6.9
After installation of mmdnn with command "pip install mmdnn", any mmdnn command related to keras fails with message: "Modul…
bwery updated
4 years ago
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Platform (like ubuntu 16.04/win10): Windows 10
Python version: 3.7.4, `mmdnn==0.2.5`
Running scripts: `mmconvert -f caffe -df keras -om test`
I know that this command is not supposed to run wit…
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It would be great to be able to switch between deep learning backends, so users aren't tied to mxnet. The three that come to mind are mxnet, tensorflow, and knet. This could also simplify model buildi…
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## Description
`KeyError: 'dense_1/Sigmoid:01'` when using `onnx2mx` to import an LSTM model that was originally trained via keras and converted to ONNX format via `keras2onnx`.
## Environment inf…
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Running Reuters Topic Classification Model under keras/example for MXNet backend with 8 GPU errors out with following error:
Error: Too many slices such that some splits are empty
Code - https://g…
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- [Keras](https://keras.io)
- [MXNet](https://mxnet.apache.org)
- [TensorFlow](http://tensorflow.org)
- [Caffe2](https://caffe2.ai)
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MXNet does not support auto inferring of input shape for convolution operator. It would be very convenient for users to have this functionality.
Apart from advantage to users, this is a limiting fu…
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We will use this issue to track models not working with Keras-MXNet in [Keras-Applications](https://github.com/keras-team/keras-applications)
(WIP) - will update the following list and mark models as…
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MXNet requires '0' as a placeholder for unknown dimension.
Keras uses 'None' as a placeholder for unknown dimension.
This leads to few issues. To be fixed.
Example test case to reproduce the erro…