pytorcher | Examples using pytorch

by cankav Python Version: Current License: No License

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

kandi X-RAY | pytorcher Summary

pytorcher is a Python library. pytorcher has no bugs, it has no vulnerabilities and it has low support. However pytorcher build file is not available. You can download it from GitHub.

run.py exact copy of of run_distributed.py spawns one process for each (virtual) core of the node. Each process increments dummy counter (i.e performs a large computation) and returns calculated value to process with global rank 0. This outlines a distributed architecture for a large process being performed on a large number of nodes using different parts of a large dataset.

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Quality

Security

License

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Support

pytorcher has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

pytorcher has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pytorcher is current.

Quality

pytorcher has 0 bugs and 0 code smells.

Security

pytorcher has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pytorcher code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pytorcher does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

pytorcher releases are not available. You will need to build from source code and install.

pytorcher has no build file. You will be need to create the build yourself to build the component from source.

It has 179 lines of code, 10 functions and 5 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed pytorcher and discovered the below as its top functions. This is intended to give you an instant insight into pytorcher implemented functionality, and help decide if they suit your requirements.

Run the worker .
Initialize a process .

Get all kandi verified functions for this library.

pytorcher Key Features

No Key Features are available at this moment for pytorcher.

pytorcher Examples and Code Snippets

No Code Snippets are available at this moment for pytorcher.

Community Discussions

No Community Discussions are available at this moment for pytorcher.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install pytorcher

You can download it from GitHub.
You can use pytorcher like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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