arm
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~/go/src/go.googlesource.com/go/src/compress/flate $ tinygo test -c compress/flate && ./flate.test
~/go/src/go.googlesource.com/go/src/compress/flate $ go test -c && ./flate.test
PASS
RT-Thread操作系统贡献指南
RT-Thread操作系统贡献指南
欢迎来到开源摘星计划-RT-Thread操作系统贡献专栏 。RT-Thread操作系统已加入开源摘星计划,该计划提供奖励以鼓励你加入我们的社区:所有参与本项目贡献的开发者都可获得相应贡献积分、奖励以及被评选为年度摘星100 人的机会,活动及奖励详情请见:开源摘星计划。
🌟 关于RT-Thread操作系统
RT-Thread诞生于2006年,是一款以开源、中立、社区化发展起来的物联网操作系统。 RT-Thread主要采用 C 语言编写,浅显易懂,且具有方便移植的特性(可快速移植到多种主流 MCU 及模组芯片上)。RT-Thread把面向对象的设计方法应用到实时系统设计中,使得代码风格优雅、架构
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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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May 16, 2022 - Python
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?
HIL functions need to support returning an error if hardware does not support that mode or if the implementation cannot put the hardware in to that mode at that time. See for an example where panic is used instead of returning an error https://github.com/tock/tock/pull/2629/files.
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Description
New-AzPortalDashboard fails to parse a hashtable converted from a JSON dashboard definition downloaded from the portal.
The attached JSON dashboard definition was downloaded from an existing simple dashboard definition created in the portal in order to test creating a new dashboard definition using PowerShell. The commands and output are shown below.
[portal.txt](https://git
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Expected Behaviour
When users list or query functions from the REST API, then the memory limits set on the functions should be returned in the JSON response.
Current Beha
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Description
Running on open-source software and supported by SSE, deSEC is free for everyone to use.
Example
DNSSEC
DNS information hosted with deSEC is signed using DNSSEC, always. We use state-of-the-art elliptic-curve cryptography and follow operational best practice.
Cloud Integration
Thanks to cloud integrations and language bindings, deSEC works out
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Though we include Boost JSON as a dependency for benchmarking purposes, we do not include it as part of our benchmarks currently.