arm
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paddle-mobile将开发一个新的版本,为了:
- 支持Paddle Fluid
- 更小的体积
- 更快的速度
- 更广泛地支持各种arm设备和终端平台
因此,paddle-mobile将会进行一次完全的重构,从框架设计到代码开发。在新版本开发完成后,将会删除原有mobile-deep-learning的代码。新版本开发期间,代码将放置在paddle-mobile repo的一个子目录下。对于子目录的命名,目前有3个候选,希望大家投票:
👍 zygote👎 paddle❤️ fluid
有更好的建议,请回复issue。相关issue:#121
另外,待新版本代码开发完成,移除老版本mobile-deep-learning代码后,新版本代码将移出子目录,直接放置在paddle-mobile repo下面。
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With Tock running on this board with virtual_uart sitting on top of USB, the Nano 33 BLE is a reasonably promising board to be a standard, well supported Tock board. Additionally, if the board turns out to not be great, the infrastructure which would make the Nano 33 BLE work well would apply to any other board that has the nRF52840 + USB combination.
- Make the bootloader and tockloader ex
请问可以直接training tmfile出来吗? 因为tengine-convert-tool covert 会有error
tengine-lite library version: 1.4-dev
Get input tensor failed

或是有例子能training出下面tmfile 呢?


Currently our JSON Pointer API assumes a DOM tree, but it is obvious that we can do it with On Demand.
If the pointer points at an array or an object, you'd like to be able to do...