ayo/ipex-llm
1
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 1

[Document] Update Nano description (#7872)

Browse source
This commit is contained in:
Jason Dai 2023-03-15 08:36:19 +08:00 committed by GitHub
parent 522e5ae35b
commit eac9b088e2
3 changed files with 3 additions and 3 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

2
README.md
View file

@ -12,7 +12,7 @@ BigDL seamlessly scales your data analytics & AI applications from laptop to clo
- [Orca](#orca): Distributed Big Data & AI (TF & PyTorch) Pipeline on Spark and Ray - [Orca](#orca): Distributed Big Data & AI (TF & PyTorch) Pipeline on Spark and Ray
- [Nano](#nano): Transparent Acceleration of Tensorflow & PyTorch Programs - [Nano](#nano): Transparent Acceleration of Tensorflow & PyTorch Programs on XPU
- [DLlib](#dllib): “Equivalent of Spark MLlib” for Deep Learning - [DLlib](#dllib): “Equivalent of Spark MLlib” for Deep Learning

2
docs/readthedocs/source/doc/Nano/index.rst
View file

@ -1,7 +1,7 @@
BigDL-Nano BigDL-Nano
========================= =========================
**BigDL-Nano** (or **Nano** for short) is a Python package to transparently accelerate PyTorch and TensorFlow applications on Intel hardware. It provides a unified and easy-to-use API for several optimization techniques and tools, so that users can only apply a few lines of code changes to make their PyTorch or TensorFlow code run faster. **BigDL-Nano** (or **Nano** for short) is a Python package to transparently accelerate PyTorch and TensorFlow applications on Intel XPU. It provides a unified and easy-to-use API for several optimization techniques and tools, so that users can only apply a few lines of code changes to make their PyTorch or TensorFlow code run faster.
------- -------

2
docs/readthedocs/source/index.rst
View file

@ -4,7 +4,7 @@ BigDL: fast, distributed, secure AI for Big Data
`BigDL <https://github.com/intel-analytics/bigdl>`_ seamlessly scales your data analytics & AI applications from laptop to cloud, with the following libraries: `BigDL <https://github.com/intel-analytics/bigdl>`_ seamlessly scales your data analytics & AI applications from laptop to cloud, with the following libraries:
- `Orca <doc/Orca/index.html>`_: Distributed Big Data & AI (TF & PyTorch) Pipeline on Spark and Ray - `Orca <doc/Orca/index.html>`_: Distributed Big Data & AI (TF & PyTorch) Pipeline on Spark and Ray
- `Nano <doc/Nano/index.html>`_: Transparent Acceleration of Tensorflow & PyTorch Programs - `Nano <doc/Nano/index.html>`_: Transparent Acceleration of Tensorflow & PyTorch Programs on XPU
- `DLlib <doc/DLlib/index.html>`_: "Equivalent of Spark MLlib" for Deep Learning - `DLlib <doc/DLlib/index.html>`_: "Equivalent of Spark MLlib" for Deep Learning
- `Chronos <doc/Chronos/index.html>`_: Scalable Time Series Analysis using AutoML - `Chronos <doc/Chronos/index.html>`_: Scalable Time Series Analysis using AutoML
- `Friesian <doc/Friesian/index.html>`_: End-to-End Recommendation Systems - `Friesian <doc/Friesian/index.html>`_: End-to-End Recommendation Systems