powernorm | ICML 2020 ] code for `` PowerNorm : Rethinking Batch | Translation library

by sIncerass Python Version: Current License: GPL-3.0

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kandi X-RAY | powernorm Summary

powernorm is a Python library typically used in Utilities, Translation, Deep Learning, Pytorch, Transformer applications. powernorm has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. However powernorm has 4 bugs. You can download it from GitHub.

Here we present the instructions to reproduce the machine translation results from our ICML 2020 paper PowerNorm: Rethinking Batch Normalization in Transformers, video. The PowerNorm is implemented here. Here is the illustration plot of batch/power normalization (left) and layer normalization (right). The entries colored in blue show the components used for calculating the statistics. The codes are based on open-sourced fairseq (v0.8.0). Follow this link for a detailed document about the original code base and this link for some examples of training baseline Transformer models for machine translation with fairseq. We also provide pre-trained models for several benchmark translation datasets.

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powernorm has a low active ecosystem.

It has 106 star(s) with 15 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 12 have been closed. On average issues are closed in 93 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of powernorm is current.

Quality

powernorm has 4 bugs (2 blocker, 0 critical, 1 major, 1 minor) and 249 code smells.

Security

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

powernorm code analysis shows 0 unresolved vulnerabilities.

There are 12 security hotspots that need review.

License

powernorm is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

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

Installation instructions, examples and code snippets are available.

powernorm saves you 12283 person hours of effort in developing the same functionality from scratch.

It has 24769 lines of code, 1934 functions and 222 files.

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

Top functions reviewed by kandi - BETA

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

Main function
Distributed worker
Average all checkpoints
Returns the last n checkpoints
Performs a multi - head attention
Get input buffer
Set the input buffer
Append key padding mask
Compute all the gather list
Forward embedding
Average checkpoints
Creates a registry
Multiprocessing
Fill masked_input with mask
Performs the forward computation
Load checkpoint
Get the last n checkpoints
Generate a sentence pair
Generate the stochastic
Generate light gradient
Forward computation
Generate the forward computation
Perform a single step
Compute the Lp transform
Perform a forward projection
Perform one step
Save a checkpoint
Load a checkpoint from a checkpoint file

Get all kandi verified functions for this library.

powernorm Key Features

No Key Features are available at this moment for powernorm.

powernorm Examples and Code Snippets

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Community Discussions

Trending Discussions on powernorm

Python one-sided KS-Test

Updating a Matplotlib plot with user imput

Matplotlib colorbar and WCS projection

Matplotlib functions in tkinter

Extraneous Matplotlib Figure (plot in tkinter)

QUESTION

Python one-sided KS-Test

Asked 2019-Dec-21 at 02:27

I've ran a one-sided KS-test of my distribution (observations of occupation of a mass transit public transportation grid with values ranging from 0 to 100) against a large number of theoretical probability distributions:

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ANSWER

Answered 2019-Dec-20 at 03:27

Short Answer

You make it clear, just left one thing: Different distributions have different parameters. We should pass estimated parameters into distributions and then perform KS-test and your final density plot.

Source https://stackoverflow.com/questions/59418446

QUESTION

Updating a Matplotlib plot with user imput

Asked 2019-Aug-28 at 23:53

Once again I am in need of aid... I am very new to python and I am trying to plot the Mandelbrot set in a GUI. Currently I am working on a function where I can change the colors in which the fractal is rendered in. The problem is that I cant figure out how to replace the old plot with a new one. Everything up to the point where the plot needs to be re-plotted works (the terminal even pauses as if it is recalculating but does not yield anything). I have tried inserting fig.clf() in all the different places that have been suggested by the internet but I still cannot figure it out. Attached is a excerpt of the code will run. Specific locations of this code are located in the function called mandelbrot_image and the class MainPage. Thank you in advance.

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ANSWER

Answered 2018-May-14 at 20:23

If you want to update the figure, you shouldn't create it in a function which is called several times. Instead you can create the figure in in the MainPage's init function and only update the content of its subplot. Therefore, the plot function could only clear the axes (not the figure!) and call the mandelbrot_image function to which the axes to plot to can be delivered as an argument. Finally the canvas has to be redrawn using canvas.draw() for the new plot to appear in the GUI.

Source https://stackoverflow.com/questions/42526413

QUESTION

Matplotlib colorbar and WCS projection

Asked 2019-Apr-26 at 22:58

I'm trying to write a function to display astronomical images with a colorbar on the top (automaticly with the same length of the x-axis). I'm having problem because when I try to put the tick on the top it doesn't do anything...it keeps the tick on the bottom of the colorbar (and also the tick on the y-axis of the colobar). I think that could be a problem with the WCS coordinate of the x-axis, because when i try to do it without the projection it work well!

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ANSWER

Answered 2017-Nov-02 at 12:08

You need to use the internal machinery of the WCSAxes to handle the ticks in the WCS projection. It looks like WCSAxes handles the colorbar ticks through a coordinate map container (you can find it in cbar.ax.coords) instead of the xaxis/yaxis attributes (that don't seem to be used much).

So, after running your code, the following trick worked for me and the xticks moved up:

Source https://stackoverflow.com/questions/47060939

QUESTION

Matplotlib functions in tkinter

Asked 2018-May-14 at 20:23

This is my first python project so I understand that this problem may seem a bit stupid.
I am trying to create a Mandelbrot renderer. I am piecing code together from tutorials and code that I understand to make something.
So basically I have all the maths and the basic functions of the GUI for the renderer but I can't get the matplotlib graph to actually graph inside the tkinter GUI.
The matplolib display part is actually a function that needs mandelbrot_image(-0.8,-0.7,0,0.1,cmap='hot') to run. If that code is introduced, the Mandelbrot set is plotted, but in a different matplotlib window.

Here is all my code, I thank you in advance and once again I apologize.

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ANSWER

Answered 2018-May-14 at 20:23

The main problem here is that you create two different figures. The one that lives in the Tk frame is not the one you plot the mandelbrot image to.
So you need to work with the same figure throughout the code.
One option is to let the mandelbrot_image create the figure and return it to later be able to supply it to the FigureCanvas. See below for a complete solution.

An additional problem is that matplotlib does not have a figshow method. You probably want imshow()instead.

Source https://stackoverflow.com/questions/42481908

QUESTION

Extraneous Matplotlib Figure (plot in tkinter)

Asked 2018-May-14 at 20:22

This is my first python project and I am trying to plot the Mandelbrot set in Matplotlib and place it into a tkinter frame. This has already been accomplished however a extraneous empty figure appears along with the GUI. This empty plot has the correct amount of tick marks while the plot in the GUI has the incorrect amount of tick marks on the plot (I cant figure out where the tick values are coming from either, but I suspect pixels). I have also searched for quite some time now on how to solve this problem to no avail. I have tried canvas.draw, messing with the methods and classes and I still cannot figure it out... The following is an excerpt of the code that will run. code specifying the display are in the method named mandelbrot_image and the MainPage class Thank you in advance.

...

ANSWER

Answered 2018-May-14 at 20:22

So apparently a new figure is created because of a call to pyplot.xticks(). While this behaviour is not reproducible in python 2.7 and I'm uncertain about the reasons for it, a solution is to use the API commands of the axes:

Source https://stackoverflow.com/questions/42506890

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

Vulnerabilities

No vulnerabilities reported

Install powernorm

The fairseq library we use requires PyTorch version >= 1.2.0. Please follow the instructions here.
A PyTorch installation
For training new models, you'll also need an NVIDIA GPU and NCCL
Python version 3.7

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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