EyerissF | Eyeriss Chip ( researched by MIT , a CNN accelerator

by jneless Python Version: Current License: LGPL-2.1

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

kandi X-RAY | EyerissF Summary

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

Eyeriss is an accelerator that can deliver state-of-the- art accuracy with minimum energy consumption in the system (including DRAM) in real-time, by using two key methods:.

Support

Quality

Security

License

Reuse

Support

EyerissF has a low active ecosystem.

It has 132 star(s) with 45 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 69 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of EyerissF is current.

Quality

EyerissF has no bugs reported.

Security

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

License

EyerissF is licensed under the LGPL-2.1 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

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

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

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

2d Convolutional Convolution
Compress the given NpArray
Compress a numpy array
Conv2 logical mapping
Decompress an NpArray into a NumPy array
Convenience function for Convolutional Convolution
Sets the running state of PEs
Deliver a picture
Sets the image number and filter number
Creates a pooling
Compute the max pooling
Save the input pic
Decompress a numpy array
Decompress an NpArray
Add an extension to a list
R Reluative activation

Get all kandi verified functions for this library.

EyerissF Key Features

No Key Features are available at this moment for EyerissF.

EyerissF Examples and Code Snippets

No Code Snippets are available at this moment for EyerissF.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install EyerissF

You can download it from GitHub.
You can use EyerissF 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.