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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 <[email protected]>
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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