未验证 提交 92a8cf4a 编写于 作者: X xiaogang 提交者: GitHub

update support hardware md (#2930)

* fix: update fpga doc
test=document_fix

* fix: update fpga doc & delete useless index.rst

* fix: update fpga md and index
     delete useless index.rst
     test=document_fix
     test=develop

* fix: add support_hardware md
上级 41a124eb
......@@ -13,6 +13,7 @@ Welcome to Paddle-Lite's documentation!
introduction/tech_highlights
introduction/architecture
introduction/support_hardware
.. toctree::
:maxdepth: 1
......
# 支持硬件列表
## ARM CPU
Paddle Lite支持[ARM Cortex-A系列处理器](https://en.wikipedia.org/wiki/ARM_Cortex-A),支持列表如下:
### 32bit(ARMv7a)
- Cortex-A5
- Cortex-A7
- Cortex-A8
- Cortex-A9
- Cortex-A12
- Cortex-A15
- Cortex-A17(RK3288)
- Cortex-A32
### 64bit(ARMv7a, ARMv8a)
- Cortex-A35
- Cortex-A53(树莓派3)
- Cortex-A55
- Cortex-A57(Nvidia tx1,Nvidia tx2, 高通810等)
- Cortex-A72(麒麟95X,高通820, RK3399,树莓派4等)
- Cortex-A73(麒麟960,麒麟970,高通835, 联发科X30等)
- Cortex-A75(高通845等)
- Cortex-A76(麒麟980,麒麟990,高通855,高通730,联发科G90等)
- Cortex-A77
- ARMv8-A compatible(Apple A系列处理器, Nvidia tegra, Qualcomm Kryo, Falkor, Samsung Mongoose)
## 移动端GPU
Paddle Lite支持移动端GPU和Nvidia端上GPU设备,支持列表如下:
- ARM Mali G 系列
- Qualcomm Adreno 系列
- Nvida tegra系列: tx1, tx2, nano, xavier
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