nixtvm

by grwlf Python Version: Current License: No License

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

kandi X-RAY | nixtvm Summary

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

nixtvm

Support

Quality

Security

License

Reuse

Support

nixtvm has a low active ecosystem.

It has 10 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 804 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of nixtvm is current.

Quality

nixtvm has no bugs reported.

Security

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

License

nixtvm 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

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

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

Top functions reviewed by kandi - BETA

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

Train the model
Create LSTM layer
LSTM and dense layer
LSTM operator
Example example for convolutional convolution
Convert ids - > nnist
Load the MNIST dataset
Compute the LVM graph
Creates a tensor product
Performs part search
Run nnvm s graph
List of block1 blocks
Run nblocks
Run block1 block1_tf
RNN layer
Calculate the correctness of block1
Returns the next batch
Create a function that runs nwarmup
Execute the E1
Test the reduction function
Example of the demo function
Performs dynamic RNN
The lSTM driver
Construct a NeuralNet model
Create tensor product
Implementation of BiRNN
Run dumb search

Get all kandi verified functions for this library.

nixtvm Key Features

No Key Features are available at this moment for nixtvm.

nixtvm Examples and Code Snippets

No Code Snippets are available at this moment for nixtvm.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install nixtvm

You can download it from GitHub.
You can use nixtvm 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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