arm

Though we include Boost JSON as a dependency for benchmarking purposes, we do not include it as part of our benchmarks currently.

~/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

https://github.com/RT-Thread/rt-thread/blob/master/include/rtservice.h

/**
 * rt_container_of - return the member address of ptr, if the type of ptr is the
 * struct type.
 */
#define rt_container_of(ptr, type, member) \
    ((type *)((char *)(ptr) - (unsigned long)(&((type *)0)->member)))

按照英文，应该是说如果 ptr 的类型是 struct 类型，返回ptr的成员（member）的地址

但实际上，ptr 应该是某个 struct （type）的一个

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。

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?
![Screenshot from 2021-05-27 07-01-46](https://user-images.githubusercontent.com/40915044/11

• The set_mode_X() 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.

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

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