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[Document] Update Nano description (#7872)

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Jason Dai 2023-03-15 08:36:19 +08:00 committed by GitHub
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README.md
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@ -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
- [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

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docs/readthedocs/source/doc/Nano/index.rst
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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.
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docs/readthedocs/source/index.rst
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@ -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:
- `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
- `Chronos <doc/Chronos/index.html>`_: Scalable Time Series Analysis using AutoML
- `Friesian <doc/Friesian/index.html>`_: End-to-End Recommendation Systems