ONNC – Medium

ONNC

When ONNC meets NVDLA — 當開源專案交會時互放的光亮

ONNC (Open Neural Network Compiler) is a compilation framework designed specifically for proprietary deep learning accelerators. Its…

2 min readApr 8, 2021

--

--

ONNC

ONNC Runtime Incorporated with Intel MKL Library

Summary: In this article, we describe how we leverage Intel® Math Kernel Library (Intel® MKL) and significantly improved ONNC runtime…

3 min readOct 7, 2020

--

ONNC Runtime Incorporated with Intel MKL Library

--

ONNC

ONNC 1.3.0 Release

Release Note

2 min readMay 7, 2020

--

ONNC 1.3.0 Release

--

ONNC

ONNC Quantization to INT8 Experiment

Some hardware modules inside NVDLA change the precision of the prediction results. If a calibrator doesn’t consider hardware architectural…

2 min readNov 18, 2019

--

ONNC Quantization to INT8 Experiment

--

ONNC

ONNC 1.2.0 Release

Release Note

2 min readSep 10, 2019

--

ONNC 1.2.0 Release

--

ONNC

ONNC 1.0.0 Release

Release Note

1 min readApr 11, 2019

--

ONNC 1.0.0 Release

--

ONNC

Porting ONNC to Proprietary DLA is a Breeze

NOTE: The feature described below is scheduled to be available in version 1.0.0.

4 min readAug 17, 2018

--

1

Porting ONNC to Proprietary DLA is a Breeze

--

1

ONNC

Liveness Analysis Helps Save Gigabytes of Memory Usage for AI Inference

Memory allocation is an essential step in the traditional compiler and in the neural network (NN) compiler as well. Each variable of…

4 min readJul 20, 2018

--

1

Liveness Analysis Helps Save Gigabytes of Memory Usage for AI Inference

--

1

ONNC

Open Neural Network Compiler (ONNC)

The Open Neural Network Compiler (ONNC) project aims to provide a compiler to connect Open Neural Network Exchange Format (ONNX) to every…

2 min readJun 22, 2018

--

1

Open Neural Network Compiler (ONNC)

--

1

ONNC

ONNC

The Open Neural Network Compiler (ONNC), a compiler that connects Open Neural Network Exchange Format (ONNX) to every deep learning accelerator (DLA).

Following

Help
Status
About
Careers
Blog
Privacy
Terms
Text to speech
Teams