Releases: microsoft/MMdnn
Releases · microsoft/MMdnn
MMdnn 0.3.1 Release
MMdnn 0.3.0 Release
Updated dependencies:
- NumPy 1.15.4 =>1.18.2
- Pillow 5.2.0=>6.2.2
- TensorFlow 1.13.1 =>1.15.2
- Keras 2.2.4 =>2.2.5
- MXNet 1.2.0 =>1.6.0
- CNTK 2.6 =>2.7
- SciPy==1.4.1
- Scikit-image==0.16.2
Bug Fixed and Improvement:
- Fix op [LRN]
- Fix tensorflow_parser[Slice], [DepthwiseConv2dNative]
- Fix caffe_emitter[Relu6]
- Add op [Unpool]
- Add keras [Affine]
- Add tensorflow [AddV2], [FusedBatchNormV3]
- Stability improvements.
Tips:
We recommand Python 3.6 since Python 2 has retired. If you experience incompatibility with other Python 3.x versions, please submit an issue.
Update Some Packages
Updated dependencies:
Numpy 1.14.5 => 1.15.4
Tensorflow 1.9.0 => 1.13.1
Keras 2.1.6=>2.2.4
CoreML 0.8=> 2.1.0
Cntk 2.5.1=>2.6
MXNet 1.1.0 post0 => 1.2.0
Onnx 1.2.1=>1.4.1
Onnx-tf =>1.2.1(python3), 1.1.2(python2)
Bug Fixes and Improvements:
- Fix Caffe constant emit
- Add visual studio solution file
- Add pytorch_emit [Prelu]
- Add tf_parser & pytorch_emit [Cast]
- Add keras_parser [Conv1DTranspose], [Conv2DTranspose], [Conv3DTranspose]
Initial support for RNN operators
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Initial implementation for RNN operators including GRU (Gated Recurrent Unit) cell, LSTM (Long Short-Term Memory) cell (no support for peephole yet) by matching the cell's corresponding pattern and fold them into a fuction or class in target framework.
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Various fixes and stability improvements.
Support Paddle Parser
Adds Some Ops
PyTorch Parser implementation
Formal release of CoreML parser and Caffe/Onnx/CoreML emitter. darknet parser initial release.
One Command to do conversion
0.1.4 refine README for 0.1.4 version.