devito | DSL and compiler framework for automated finite-differences and stencil computation | GPU library

by devitocodes Python Version: 4.8.6 License: MIT

X-Ray Key Features Code Snippets Community Discussions(8)Vulnerabilities Install Support

kandi X-RAY | devito Summary

devito is a Python library typically used in Hardware, GPU applications. devito has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However devito has 26 bugs. You can install using 'pip install devito' or download it from GitHub, PyPI.

Devito provides a functional language to implement sophisticated operators that can be made up of multiple stencil computations, boundary conditions, sparse operations (e.g., interpolation), and much more. A typical use case is explicit finite difference methods for approximating partial differential equations. For example, a 2D diffusion operator may be implemented with Devito as follows. An Operator generates low-level code from an ordered collection of Eq (the example above being for a single equation). This code may also be compiled and executed. There is virtually no limit to the complexity of an Operator -- the Devito compiler will automatically analyze the input, detect and apply optimizations (including single- and multi-node parallelism), and eventually generate code with suitable loops and expressions.

Support

Quality

Security

License

Reuse

Support

devito has a low active ecosystem.

It has 452 star(s) with 204 fork(s). There are 33 watchers for this library.

There were 3 major release(s) in the last 12 months.

There are 84 open issues and 447 have been closed. On average issues are closed in 306 days. There are 21 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of devito is 4.8.6

Quality

devito has 26 bugs (4 blocker, 0 critical, 15 major, 7 minor) and 587 code smells.

Security

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

devito code analysis shows 0 unresolved vulnerabilities.

There are 3 security hotspots that need review.

License

devito is licensed under the MIT License. This license is Permissive.

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

Reuse

devito releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

devito saves you 16562 person hours of effort in developing the same functionality from scratch.

It has 32925 lines of code, 3081 functions and 214 files.

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

Top functions reviewed by kandi - BETA

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

A basic example of the model .
Convert glb index to local index .
This method is called after initialization of a TimeSeriesSparseTimeFunction
Collect aliasing expressions .
Generate the map for a given index .
Return a dict containing the command - line arguments .
Get information about the GPU .
Perform autotuning .
Generate the mapper for each dimension .
Generate a DataFrame with the roofline data .

Get all kandi verified functions for this library.

devito Key Features

No Key Features are available at this moment for devito.

devito Examples and Code Snippets

No Code Snippets are available at this moment for devito.

Community Discussions

Trending Discussions on devito

ValueError: 4 columns passed, passed data had 3 columns when converting python list to dataframe. How to add blank values if 3 passed?

Create a PostgreSQL query with possibility of a Null relation

How do I access this list in C# in other functions?

Why does Tensorflow multiclass-image-prediction not work when model is loaded?

How to fetch rows related to the table I'm querying using Knex

New DF column based on the value of another column. Possible new values obtained by checking the name of pre-existing columns with highest value

Creating JSON object based on JSON file

Using DocumentTermMatrix on a Vector of First and Last Names

QUESTION

ValueError: 4 columns passed, passed data had 3 columns when converting python list to dataframe. How to add blank values if 3 passed?

Asked 2020-Aug-05 at 20:01

I have a list called 'data' that generally has lists with 3 fields but can sometimes have 4:

...

ANSWER

Answered 2020-Aug-05 at 20:01

This should solve your problem. First it creates a dictionary from your list elements in a try/ except loop so that if there is no height value isntead of throwing an error it puts np.nan instead. Finally it creates the pandas dataframe from dictionary.

Source https://stackoverflow.com/questions/63272148

QUESTION

Create a PostgreSQL query with possibility of a Null relation

Asked 2020-May-09 at 08:03

Suppose I have the following tables where id in each are primary keys and actors in the second is a foreign key of the first.

...

ANSWER

Answered 2020-May-07 at 05:53

It is working fine for me, check it out here. You are not using the correct single quote ' in your query.

Source https://stackoverflow.com/questions/61650421

QUESTION

How do I access this list in C# in other functions?

Asked 2020-Mar-10 at 13:33

I am in early stages of creating a game in which people bet on horses. I need to access the 'HorseList' in the 'BetOnARace' function. This was my attempt but there is an error message near the end for the word 'Main' in the class 'Program' It says that it 'has the wrong signature to be an entry point'.

...

ANSWER

Answered 2020-Mar-10 at 13:33

The error is due to this line:

Source https://stackoverflow.com/questions/60618543

QUESTION

Why does Tensorflow multiclass-image-prediction not work when model is loaded?

Asked 2020-Jan-26 at 01:04

I am currently trying to learn machine learning techniques and wanted to recreate a simple image recognition algorithm with tensorflow. Therefore I made two Python-files: One for training and one for prediction.

Tested on Ubuntu 18.04 Used Python Version: 3.7 Used Numpy Version: 1.18.1 Used Tensorflow Version: 1.14 and 2.1.0 (outputs below are from Version 1.14)

My images are from http://www.cs.columbia.edu/CAVE/databases/pubfig/download/#dev The set consists of about 3000 images of cropped faces from 60 people.

train_model.py:

...

ANSWER

Answered 2020-Jan-26 at 01:04

Hey I believe you are getting strange predictions because your data distribution has 60 classes of people while your model is compiled with a loss function that is set to binary crossentropy.

Binary crossentropy is used to determine a max of 2 classes. What you need to do is change the loss function to categorical crossentropy.

Source https://stackoverflow.com/questions/59914299

QUESTION

How to fetch rows related to the table I'm querying using Knex

Asked 2019-Jul-26 at 13:47

I'm facing an issue with my program. If you could please provide a solution or refer me to the right source it would be great.

I'm going to explain my problem with an example.

Lets say I want to get a post from my database and the result looks like this:

...

ANSWER

Answered 2019-Jul-26 at 13:47

Sadly I found the following:

Short answer: No.

With Knex, you can retrieve data the same as with SQL, which is record based, not object based

Source

However, after a bit of digging I found a package that can achieve something similar to Laravel's eager loading. It is called Objection.js and it allows me to keep my Knex.js migrations

Source https://stackoverflow.com/questions/57220374

QUESTION

New DF column based on the value of another column. Possible new values obtained by checking the name of pre-existing columns with highest value

Asked 2019-Apr-22 at 04:34

I have a dataframe (will call it 'df') with a decent amount of variables (numeric and characters, there are some NAs in there too). Some of the columns hold the grade of a specific school subject, some other columns are not related at all. Each row represents a dude.

I want to create a new one (will call it 'preferedSubject') with values based on a threshold (let's say 0.5) imposed in another column ('Happiness'); where, if the value of this variable is lower than the threshold, the value of 'preferedSubject' for that row will be a string (let's say... '2Cool4School') and, if higher, the value will become the name of the school subject with the highest score from that row. That is, the name of the column with the highest numeric value (while excluding some of the other columns, remember that some of them are not school subjects)

This of course isn't my data; just decided to use it as a basic and (hopefully clear) example of what's going on, for some reason I always find a way to put it in terms of school subjects and students.

The first part of my problem should be easily handled with the ifelse function I believe; that way I can assign a value to 'preferedSubject' depending on whether 'Happyness' is lower than 0.5 or not. The part that's causing me trouble is the second one, I cannot find a way to retrieve the name of the column (school subject) with the highest score while excluding some other columns (non school subject) first.

Assuming this is my dataframe:

...

ANSWER

Answered 2019-Apr-22 at 04:34

We could use ifelse and max.col by replacing NAs with 0 and then get index of maximum value in each row.

Source https://stackoverflow.com/questions/55789064

QUESTION

Creating JSON object based on JSON file

Asked 2018-Aug-22 at 07:35

I have a problem with retrieving information about movie when I send GET request to omdbapi.com.

Here's the code that handles POST request to my database:

...

ANSWER

Answered 2018-Aug-22 at 07:35

Solution:

Everything has to be moved inside xhr.onreadystatechange because if not, then by the time I create a Movie object, the answer from omdbapi.com still didn't arrive.

Source https://stackoverflow.com/questions/51937129

QUESTION

Using DocumentTermMatrix on a Vector of First and Last Names

Asked 2017-Apr-16 at 21:21

I have a column in my data frame (df) as follows:

...

ANSWER

Answered 2017-Apr-16 at 21:21

The default tokenizer splits text into individual words. You need to provide a custom function

Source https://stackoverflow.com/questions/43441713

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

Vulnerabilities

No vulnerabilities reported

Install devito

The easiest way to try Devito is through Docker using the following commands:. After running the last command above, the terminal will display a URL such as https://127.0.0.1:8888/?token=XXX. Copy-paste this URL into a browser window to start a Jupyter notebook session where you can go through the tutorials provided with Devito or create your own notebooks. See here for detailed installation instructions and other options. If you encounter a problem during installation, please see the installation issues we have seen in the past.

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 .

Find more information at: