enas | TensorFlow Code for paper `` Efficient Neural Architecture | Machine Learning library

by melodyguan Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets(3)Community Discussions(6)Vulnerabilities Install Support

kandi X-RAY | enas Summary

enas is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. enas has no vulnerabilities, it has a Permissive License and it has medium support. However enas has 4 bugs and it build file is not available. You can download it from GitHub.

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

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Quality

Security

License

Reuse

Support

enas has a medium active ecosystem.

It has 1564 star(s) with 390 fork(s). There are 77 watchers for this library.

It had no major release in the last 6 months.

There are 80 open issues and 35 have been closed. On average issues are closed in 17 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of enas is current.

Quality

enas has 4 bugs (4 blocker, 0 critical, 0 major, 0 minor) and 103 code smells.

Security

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

enas code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

enas 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

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

enas 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.

enas saves you 1817 person hours of effort in developing the same functionality from scratch.

It has 4014 lines of code, 118 functions and 21 files.

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

Top functions reviewed by kandi - BETA

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

Train the model
Connect a controller to the controller
Build the params
Create a child model
Build controller sampler
LSTM
Stack a LSTM
Connect a controller model to the controller
Builds test graph
Registers a boolean flag
Registers an integer flag
Registers a float flag
Build the sampler
Creates fully connected layer
Connects a controller model to the controller
Builds the trainer
Registers a flag

Get all kandi verified functions for this library.

enas Key Features

No Key Features are available at this moment for enas.

enas Examples and Code Snippets

Tests on the DARTS CNN search space

Python

Lines of Code : 17

License : Permissive (MIT)

Copy

python cnn_search_main.py \ 
        --epochs=150 \
        --search_space original \
        --search_policy darts \
        --seed_range_start 1270 \
        --seed_range_end 1271 \
        --test_dir experiments/cifar-darts-search

python train_ci

Continual and Multi-Task Architecture Search,Usage,ENAS Models

Python

Lines of Code : 3

License : Permissive (MIT)

Copy

python main.py --model_name "model_name" --mode train --nas True --dataset "[qnli/rte/wnli]" --data_dir "data/glue_tasks/[qnli/rte/wnli]"

python main.py --model_name "model_name" --load_path "path_to_learned_RNN" --mode retrain --nas True --dataset

Continual and Multi-Task Architecture Search,Usage,Non-ENAS LSTM Models

Python

Lines of Code : 2

License : Permissive (MIT)

Copy

python main.py --model_name "model_name" --mode train --nas False --dataset "[qnli/rte/wnli]" --data_dir "data/glue_tasks/[qnli/rte/wnli]"

python main.py --mode test --nas False --dataset "[qnli/rte/wnli]" --data_dir "data/glue_tasks/[qnli/rte/wnli]

Community Discussions

Trending Discussions on enas

How to upgrade AWS EC2 from t2.2xlarge to t3.2xlarge?

Push multiple objects with dynamic data into a DTO and return it

Enabling ENA for AWS on Ubuntu

Flattening a 3 level nested JSON string in java

How does parameter sharing work in Efficient Neural Architecture Search (ENAS)

Jenkins upgrade from 1.6xx to 2.xx (1.642.3 -> 2.32.2)

QUESTION

How to upgrade AWS EC2 from t2.2xlarge to t3.2xlarge?

Asked 2020-Nov-24 at 20:53

I have an t2.2xlarge AWS EC2 instance that i need to change it's type to t3.2xlarge. But when i try to start it i get an

"Error starting instances The requested configuration is currently not supported. Please check the documentation for supported configurations."

When i run the check script everything is fine

https://github.com/awslabs/aws-support-tools/tree/master/EC2/NitroInstanceChecks

...

ANSWER

Answered 2020-Nov-24 at 20:53

I tried to launch a t3.2xlarge in us-east-1e and got the following error:

Your requested instance type (t3.2xlarge) is not supported in your requested Availability Zone (us-east-1e). Please retry your request by not specifying an Availability Zone or choosing us-east-1a, us-east-1b, us-east-1c, us-east-1d, us-east-1f.

AWS probably doesn't have t3.2xlarge instances available in this AZ.

Source https://stackoverflow.com/questions/64994526

QUESTION

Push multiple objects with dynamic data into a DTO and return it

Asked 2020-May-12 at 00:10

So I'm trying to use a DTO to reshape and return data, it's not working because I'm trying to push in an array of objects (as an IQueryable - which I don't think works) into the DTO, I'm also trying to push in dynamic data into one of the properties, as seen below in the 'hasCurrentUserLiked' property. I need to figure out How to change the objects from IQueryables, into actual objects so they can all be pushed into the DTO and the dynamic data can be worked out.

This is the code

...

ANSWER

Answered 2020-May-11 at 21:43

You can try something like

Source https://stackoverflow.com/questions/61732031

QUESTION

Enabling ENA for AWS on Ubuntu

Asked 2019-Nov-12 at 02:05

I have an old Ubuntu EC2 instance I'm trying to upgrade to a C5 type, so it needs ENA support (currently it's a C4).

So I followed the instructions for Ubuntu here: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/enhanced-networking-ena.html#enhanced-networking-ena-ubuntu

This successfully installs the ENA driver:

...

ANSWER

Answered 2019-Nov-11 at 12:53

Check if ena is installed by:

Source https://stackoverflow.com/questions/58674375

QUESTION

Flattening a 3 level nested JSON string in java

Asked 2019-Sep-19 at 10:32

The requirement is to create a generic flattening utility for an input JSON object to a flattened JSON object.

The sample JSON looks like the below

...

ANSWER

Answered 2019-Sep-19 at 09:58

Just create namespace of the keys by appending each level key into the key from higher level. In other words your flattened JSON's keys would be:

Source https://stackoverflow.com/questions/58008267

QUESTION

How does parameter sharing work in Efficient Neural Architecture Search (ENAS)

Asked 2019-May-25 at 08:25

ENAS implementation here

I'm trying to understand how the parameter sharing works in ENAS. The first two questions are there partially to answer the third main question.

Are all nodes only used ONCE during macro search?
For macro search, will all the nodes definitely link to its previous node?
How are the parameters shared? Does each operations have their own weights, which are always loaded when called? If this is the case, then which weight to update and memorize during training, assuming multiple instances of the same operation is used. Or are there weights for each unique connection, e.g. Node1 to Node3 (W13) has one weight set, Node2 to Node3 (W23) has another weight set. If so, then how does it handle cases when there are skip connections (e.g. Node1 and Node2 are concatenated, which are then passed to Node 3. Will it have W12-3?)?

...

ANSWER

Answered 2018-May-23 at 02:12

I've gone through the code quite a few times, so I guess I'll answer these myself, in case anyone sees this in the future.

No, they can appear multiple times.
Yes.
Store the weights of all possible nodes in each layer, extract the weight from them when initializing new networks.

Source https://stackoverflow.com/questions/50345080

QUESTION

Jenkins upgrade from 1.6xx to 2.xx (1.642.3 -> 2.32.2)

Asked 2017-Jul-31 at 08:42

I upgraded Jenkins to 2.32.3 version (in place upgrade) after taking necessary backups (THIN) or $JENKINS_HOME and Jenkins is now UP and running.

Under Manage Jenkins > Manage Plugins, I see the following RED error:

...

ANSWER

Answered 2017-Jul-31 at 08:42

For some reason Jenkins plugins (didn't download the dependent plugins per the Manifest file).

As envinject-api plugin was not listed in the AVAILABLE plugin tab (under Manage Jenkins > Manage Plugins section), I had to manually download the .hpi / .jpi file directly from the following download plugins URL and then I placed the file in $JENKINS_HOME/plugins folder.

https://updates.jenkins-ci.org/download/plugins/

Source https://stackoverflow.com/questions/45409721

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

Vulnerabilities

No vulnerabilities reported

Install enas

You can download it from GitHub.
You can use enas 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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