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Posted to commits@mxnet.apache.org by ma...@apache.org on 2018/04/25 18:35:13 UTC
[incubator-mxnet] branch v1.2.0 updated: Mark ONNX-MXNet
experimental (#10677)
This is an automated email from the ASF dual-hosted git repository.
marcoabreu pushed a commit to branch v1.2.0
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/v1.2.0 by this push:
new 3da2939 Mark ONNX-MXNet experimental (#10677)
3da2939 is described below
commit 3da2939bd6fe9a0e76f6fb13e8930614d7993f3e
Author: Anirudh <27...@users.noreply.github.com>
AuthorDate: Wed Apr 25 11:35:06 2018 -0700
Mark ONNX-MXNet experimental (#10677)
* Mark ONNX-MXNet experimental
* change wording.
* space nit
---
NEWS.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/NEWS.md b/NEWS.md
index 2b984c2..ed680ac 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -5,7 +5,7 @@ MXNet Change Log
- Implemented new [Scala Inference APIs](https://cwiki.apache.org/confluence/display/MXNET/MXNetScalaInferenceAPI) which offer an easy-to-use, Scala Idiomatic and thread-safe high level APIs for performing predictions with deep learning models trained with MXNet (#9678). Implemented a new ImageClassifier class which provides APIs for classification tasks on a Java BufferedImage using a pre-trained model you provide (#10054). Implemented a new ObjectDetector class which provides APIs for [...]
### New Features - Added a Module to Import ONNX models into MXNet
-- Implemented a new ONNX module in MXNet which offers an easy to use API to import ONNX models into MXNet's symbolic interface (#9963). Checkout the [example](https://github.com/apache/incubator-mxnet/blob/master/example/onnx/super_resolution.py) on how you could use this [API](https://cwiki.apache.org/confluence/display/MXNET/ONNX-MXNet+API+Design) to import ONNX models and perform inference on MXNet.
+- Implemented a new ONNX module in MXNet which offers an easy to use API to import ONNX models into MXNet's symbolic interface (#9963). Checkout the [example](https://github.com/apache/incubator-mxnet/blob/master/example/onnx/super_resolution.py) on how you could use this [API](https://cwiki.apache.org/confluence/display/MXNET/ONNX-MXNet+API+Design) to import ONNX models and perform inference on MXNet. Currently, the ONNX-MXNet Import module is still experimental. Please use it with caution.
### New Features - Added Support for Model Quantization with Calibration
- Implemented model quantization by adopting the [TensorFlow approach](https://www.tensorflow.org/performance/quantization) with calibration by borrowing the idea from Nvidia's [TensorRT](http://on-demand.gputechconf.com/gtc/2017/presentation/s7310-8-bit-inference-with-tensorrt.pdf). The focus of this work is on keeping quantized models (ConvNets for now) inference accuracy loss under control when compared to their corresponding FP32 models. Please see the [example](https://github.com/ap [...]
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