abstract-machine | A minimal , modularized , and machine-independent hardware | Machine Learning library

by NJU-ProjectN C Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | abstract-machine Summary

abstract-machine is a C library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. abstract-machine has no bugs, it has no vulnerabilities and it has low support. However abstract-machine has a Non-SPDX License. You can download it from GitHub.

AbstractMachine is a minimal, modularized, and machine-independent abstraction layer of the computer hardware:. Bug reports and suggestions go to Yanyan Jiang (jyy@nju.edu.cn) and Zihao Yu (yuzihao@ict.ac.cn).

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abstract-machine has a low active ecosystem.

It has 291 star(s) with 67 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

abstract-machine has no issues reported. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of abstract-machine is current.

Quality

abstract-machine has no bugs reported.

Security

abstract-machine has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

abstract-machine has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

abstract-machine releases are not available. You will need to build from source code and install.

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abstract-machine Key Features

No Key Features are available at this moment for abstract-machine.

abstract-machine Examples and Code Snippets

No Code Snippets are available at this moment for abstract-machine.

Community Discussions

Trending Discussions on abstract-machine

How can I inspect WAM code in SICStus Prolog

QUESTION

How can I inspect WAM code in SICStus Prolog

Asked 2019-Sep-10 at 22:12

In the context of hacking clpz on sicstus-prolog I want to glimpse at the warren-abstract-machine code generated by SICStus Prolog. As an example, let's dissect the following predicate!

...

ANSWER

Answered 2019-Aug-31 at 15:42

There is a simpler way: the undocumented, unsupported, library(disassembler).

You can use this for programmatically getting information about first-argument indexing in addition to the WAM instructions. See the source for more information.

Source https://stackoverflow.com/questions/57736615

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install abstract-machine

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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