tuned | Tuning Profile Delivery Mechanism for Linux
kandi X-RAY | tuned Summary
kandi X-RAY | tuned Summary
After the installation, start the tuned service:.
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Top functions reviewed by kandi - BETA
- Execute update dialog
- Read data from a file
- Load profile config file
- Loads all configured profiles
- Main thread
- Notify DBUS
- Wait for a process to finish
- Determine if we need to rollback
- Set the energy of the CPU
- Calculate isolated cores
- Reload static modules
- Validate the command line
- Executor for removing profile
- Set radeon mode
- Set the governors on the CPU
- Load one or more profiles
- Run an action
- Parse device parameters
- Update the properties of a device
- Checks if the specified mountpoint is enabled
- Verify that all IRQs are set
- Initialize instance
- Decorator to export a method
- Loop through all windows
- Returns the effective options
- Generate a new powertops
tuned Key Features
tuned Examples and Code Snippets
Lines of Code : 108
License : No License
Copypublic abstract class Task {
private static final AtomicInteger ID_GENERATOR = new AtomicInteger();
private final int id;
private final int timeMs;
public Task(final int timeMs) {
this.id = ID_GENERATOR.incrementAndGet();
this.time Community Discussions
Trending Discussions on tuned
QUESTION
How to create a list with the y-axis labels of a TreeExplainer shap chart?
Hello,
I was able to generate a chart that sorts my variables by order of importance on the y-axis. It is an impotant solution to visualize in graph form, but now I need to extract the list of ordered variables as they are on the y-axis of the graph. Does anyone know how to do this? I put here an example picture.
Obs.: Sorry, I was not able to add a minimal reproducible example. I don't know how to paste the Jupyter Notebook cells here, so I've pasted below the link to the code shared via Github.
In this example, the list would be "vB0 , mB1 , vB1, mB2, mB0, vB2".
...ANSWER
Answered 2021-Jun-09 at 16:36TL;DR
QUESTION
I was looking at consolidate location where I can look what all parameters at a high level that needs to be tuned in Spark job to get better performance out from the cluster assuming you have allocated sufficient nodes. I did go through the link but it's too much to process in one go https://spark.apache.org/docs/2.4.5/configuration.html#available-properties
I have listed my findings below that will help people to look at first before deep diving into the above link with what is use case
...ANSWER
Answered 2021-Mar-22 at 08:57Below is a list of parameters which I found helpful in tuning of the job, I will keep appending this with whenever I found out use case for a parameter
Parameter What to look for spark.scheduler.mode FAIR or FIFO, This decides how you want to allocate executors to jobs executor-memory Check OOM in executors if you find they are going OOM probably this is the reason or check for executor-cores values, wheather they are too small causing the load on executorshttps://spoddutur.github.io/spark-notes/distribution_of_executors_cores_and_memory_for_spark_application.html driver-memory If you are doing a collect kind of operation (i.e. any operation that sends data back to Driver) then look for tuning this value executor-cores Its value really depends on what kind of processing you are looking for is it a multi-threaded approach/ light process. The below doc can help you to understand it better
https://spoddutur.github.io/spark-notes/distribution_of_executors_cores_and_memory_for_spark_application.html spark.default.parallelism This helped us a quite bit in reducing job execution time, initially run the job without this value & observe what value is default set by the cluster (it does base on cluster size). If you see the value too high then try to reduce it, We generally reduced it to the below logic
number of Max core nodes * number of threads per machine + number of Max on-demand nodes * number of threads per machine + number of Max spot nodes * number of threads per machine spark.sql.shuffle.partitions This value is used when your job is doing quite shuffling of data e.g. DF with cross joins or inner join when it's not repartitioned on joins clause dynamic executor allocation This helped us quite a bit from the pain of allocating the exact number of the executors to the job. Try to tune below spark.dynamicAllocation.minExecutors To start your application these numbers of executors are needed else it will not start. This is quite helpful when you don't want to make your job crawl on 1 or 2 available executors spark.dynamicAllocation.maxExecutors Max amount of executors can be used to ensure the job does not end up consuming all cluster resources in case its multi-job cluster running parallel jobs spark.dynamicAllocation.initialExecutors This is quite helpful when the driver is doing some initial job before spawning the jobs to executors e.g. listing the files in a folder so it will delete only those files at end of the job. This ensures you can provide min executors but can get a head start with fact know that driver is going to take some time to start spark.dynamicAllocation.executorIdleTimeout This is also helpful in the above-mentioned case where the driver is doing some work & has nothing to assign to the executors & you don't want them to time out causing reallocation of executors which will take some time
https://spark.apache.org/docs/2.4.5/configuration.html#dynamic-allocation Trying to reduce the number of files created while writing the partitions As our data is read by different executors while writing each executor will write its own file. This will end up in creating a large number of small files & in intern the query on those will be heavy. There are 2 ways to do it
Coalesce: This will try to do minimum shuffle across the executors & will create an un-even file size
repartition: This will do a shuffle of data & creates files with ~ equal size
https://stackoverflow.com/questions/31610971/spark-repartition-vs-
coalescemaxRecordsPerFile: This parameter is helpful in informing spark, how many records per file you are looking for When you are joining small DF with large DF Check if you can use broadcasting of the small DF by default Spark use the sort-merge join, but if your table is quite low in size see if you can broadcast those variables
https://towardsdatascience.com/the-art-of-joining-in-spark-dcbd33d693c
How one can hint spark to use broadcasting: https://stackoverflow.com/a/37487575/814074
Below parameters you need to look for doing broadcast joins are spark.sql.autoBroadcastJoinThreshold This helps spark to understand for a given size of DF whether to used broadcast join or not spark.driver.maxResultSize Max result will be returned to the driver so it can broadcast them driver-memory As the driver is doing broadcasting of result this needs to be bigger spark.network.timeout spark.executor.heartbeatInterval This helps in the case where you see an abrupt termination of executors from drivers, there could be multiple reasons but if nothing is specifically found you can check on these parameters
https://spark.apache.org/docs/2.4.5/configuration.html#execution-behavior Data is Skewed across customers Try to find out a way where you can trigger the jobs for descending order of volume per customer. This ensures you that cluster will be well occupied during the initial run & long-running customer gets some time while small customers are completing their job. Also, you can drop the customer if no data is present for a given customer to reduce the load on the cluster
QUESTION
When I run my search_form.php attached in action with form tag, it runs correctly and gives filtered database response in json form. Like this (which I want in my web page but I'm unable to get this):
...ANSWER
Answered 2021-Jun-02 at 10:50You're trying to send the search value in the AJAX as JSON, but your PHP is not set up to read JSON. (And it makes no sense to use JSON anyway, just to send a single value).
Just send the form data in form-url-encoded format, as it would be if you submitted the form without AJAX. jQuery can help you with this - e.g.
QUESTION
This is the most I have gotten so far. just need to be able to pull up the GUI to edit body. Need to create a GUI that I can pull up a text box to edit what is in the body. Also not sure if I can add tags in a program. Since I can't plug code in between the Html format how would I go about calling or just pulling the
ANSWER
Answered 2021-Jun-02 at 01:37To start, the code for writing the contents to the HTML file should be in it's own function, it shouldn't be loose in the .py code. First, the function should use ".get" to grab the text currently in the Entry widget named "txtfld" and save it to a variable:
QUESTION
I have two functions, both are similar to this:
...ANSWER
Answered 2021-Jun-01 at 18:57I question the following assumption:
This didn't work. It is clear that the compiler is optimising-out much of the code related to z completely! The code then fails to function properly (running far too fast), and the size of the compiled binary drops to about 50% or so.
Looking at https://gcc.godbolt.org/z/sKdz3h8oP, it seems like the loops are actually being performed, however, for whatever reason each z++, when using a global volatile z goes from:
QUESTION
I am getting started with Julia, and am watching this video, and at the time I linked to, the presenter runs the command
...ANSWER
Answered 2021-May-28 at 00:26Sure you can just use the Crayons package.
This package is using Ints for representation of colors and the API of Colors.jl is rather verbose here (unless you want directly access pallette object fields which would be not elegant).
QUESTION
I am trying to tune the hyperparameters in mlr using the tuneParams function. However, I can't make sense of the results it is giving me (or else Im using it incorrectly).
For example, if I create some data with a binary response and then create an mlr h2o classification model and then check the accuracy and AUC I will get some values.
Then, if I use tuneParams on some parameters and find a better accuracy and AUC and then plug them into my model. The resulting accuracy and AUC (for the model) does not match that found by using tuneParams.
Hopefully the code below will illustrate my issue:
...ANSWER
Answered 2021-May-27 at 15:33You're getting different results because you're evaluating the learner using different train and test data. If I use the same 3-fold CV, I get the same results:
QUESTION
I have a paragraph that contains details like date and comments that I need to extract and make a separate column. The paragraph is in a column from which I am extracting the date is as follows:
'Story\nFAQ\nUpdates 2\nComments 35\nby Antaio Inc\nMar 11, 2019 • 3:26AM\n2 years ago\nThank you all for an amazing start!\nHi all,\nWe just want to thank you all for an awesome start! This is our first ever Indiegogo campaign and we are very grateful for your support that helped us achieve a successful campaign.\nIn the next little while, we will be dedicating our effort on production and shipping of the awesome A-Buds and A-Buds SE. We plan to ship them to you as promised in the coming month.\nWe will send out more updates as we are approaching the key production dates.\nStay tuned!\nBest regards,\nAntaio Team\nby Antaio Inc\nJan 31, 2019 • 5:15AM\nover 2 years ago\nPre-Production Update\nDear all,\nWe want to take this opportunity to thank all of you for being our early backers. You guys rock! :)\nAs you may have noticed, the A-Buds are already in production stage, which means we have already completed all development and testing, and are now working on pre-production. Not only will you receive fully tested and certified awesome A-Buds after the campaign, we are also giving you the promise to deliver them on time! We are truly excited to have these awesome true Bluetooth 5.0 earbuds in your hands. We are sure you will love them!\nSo here is a quick sneak peek:\nMore to come. Stay tuned! :)\nFrom: Antaio Team\nRead More'
This kind of paragraph is present in each row of the dataset in a particular column called 'Project_Updates_Description'. I am trying to extract the first date in each entry
The code I'm using so far is:
...ANSWER
Answered 2021-May-22 at 14:14Assuming you have a dataframe with a column entitled 'Project_Updates_Description' which contains the example text and you want to extract the first date and generate a datetime stamp from this information you can do the following:
QUESTION
I have images that look as follows:
My goal is to detect and recognize the number 31197394. I have already fine-tuned a deep neural network on text recognition. It can successfully identify the correct number, if it is provided it in the following format:
The only task that remains is the detection of the corresponding bounding box. For this purpose, I have tried darknet. Unfortunately, it's not recognizing anything. Does anyone have an idea of a network that performs better on these kind of images? I know, that amazon recognition is able to solve this task. But I need a solution that works offline. So my hopes are still high that there exist pre-trained networks that work. Thank's a lot for your help!
...ANSWER
Answered 2021-Apr-27 at 14:40Maybe use an R-CNN to identify the region where the number is and then pass that region to your fine-tuned neural network for the digit classification
QUESTION
I've been working on a neural network that can classify two sets of astronomical data. I believe that my neural network is struggling because the two sets of data are quite similar, but even with significant changes to the data, it still seems like the accuracy history doesn't behave how I think it would.
These are example images from each dataset:
I'm currently using 10,000 images of each type, with 20% going to validation data, so 16,000 training images and 4,000 validation images. Due to memory constraints, I can't increase the datasets much more than this.
This is my current model:
...ANSWER
Answered 2021-May-02 at 18:46If this is a binary classification then you need to change:
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