nnvm | nnvm fork for SNIPER-mxnet

by mahyarnajibi Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | nnvm Summary

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

Installation | Documentation | Tutorials | Release Notes.

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Support

nnvm has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of nnvm is current.

Quality

nnvm has no bugs reported.

Security

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

License

nnvm is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

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

Return conversion map for given opset .
Build a TensorFlow tensor .
Get the attributes for a given layer .
Deploy the model to RPC .
Create a symbolic symbol function .
Deploy the model to the TV .
Deploy the local model .
Convert a convolution layer into a convolution matrix .
Run the test .
Convert a CoreML model into a neural network .

Get all kandi verified functions for this library.

nnvm Key Features

No Key Features are available at this moment for nnvm.

nnvm Examples and Code Snippets

No Code Snippets are available at this moment for nnvm.

Community Discussions

Trending Discussions on nnvm

Using GPU with python package bert_embeddings and mxnet Fails

Turi Create - Please use dropna() to drop rows

NameError: name 'predict_from_url' is not defined

QUESTION

Using GPU with python package bert_embeddings and mxnet Fails

Asked 2019-Jul-04 at 14:30

I am using the below code to enable GPU using the package mxnet for extracting Bert Embeddings using the package bert_embeddings :

...

ANSWER

Answered 2019-Jul-04 at 14:30

You need to install the GPU version of mxnet

for example:

Source https://stackoverflow.com/questions/56443504

QUESTION

Turi Create - Please use dropna() to drop rows

Asked 2018-May-21 at 20:31

I am having issues with Apple Turi Create and image classifier. I have successfully created a model with 22 categories. I have recently added 5 more categories and console is giving me error warning

...

ANSWER

Answered 2018-May-21 at 20:31

data.dropna() isn't done in place, you need to write it: data = data.dropna()
See documentation here https://apple.github.io/turicreate/docs/api/generated/turicreate.SFrame.dropna.html

Source https://stackoverflow.com/questions/50452760

QUESTION

NameError: name 'predict_from_url' is not defined

Asked 2017-Jul-04 at 15:11

I am trying an MXNet tutorial mentioned at http://mxnet.io/tutorials/embedded/wine_detector.html (Section "Running the Model" on a raspberry pi3 using python3.4, specifically the script "inception_predict.py". I managed to fix a couple of issue but am getting stumped at this error:

>> import inception_predict
[23:43:37] src/nnvm/legacy_json_util.cc:190: Loading symbol saved by previous version v0.8.0. Attempting to upgrade...
[23:43:37] src/nnvm/legacy_json_util.cc:198: Symbol successfully upgraded!

>> predict_from_url("http://imgur.com/HzafyBA")
Traceback (most recent call last):
File "", line 1, in
NameError: name 'predict_from_url' is not defined

Function predict_from_url is defined in the imported file inception_predict.py (as mentioned in the tutorial) so why is python telling me it is not defined? What am I doing wrong?

...

ANSWER

Answered 2017-Jul-04 at 15:11

The tutorial has a few errors that you need to fix to make it run:

add time to the import list in the inception_predict.py

... import cv2, os, urllib, time ...
use a URL that you can actually download directly (use your favorite image search engine to find ones)
call the full name function

inception_predict. predict_from_url("https://media.mnn.com/assets/images/2017/01/cow-in-pasture.jpg.838x0_q80.jpg")

After these small changes you will see something like this:

Source https://stackoverflow.com/questions/44858318

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

Vulnerabilities

No vulnerabilities reported

Install nnvm

You can download it from GitHub.
You can use nnvm 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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