memory-profiler | A memory profiler for Linux | Monitoring library

 by   koute C Version: 0.6.1 License: Non-SPDX

kandi X-RAY | memory-profiler Summary

kandi X-RAY | memory-profiler Summary

memory-profiler is a C library typically used in Performance Management, Monitoring applications. memory-profiler has no bugs, it has no vulnerabilities and it has medium support. However memory-profiler has a Non-SPDX License. You can download it from GitHub.

A memory profiler for Linux.
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              memory-profiler has a medium active ecosystem.
              It has 2007 star(s) with 63 fork(s). There are 35 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 3 open issues and 24 have been closed. On average issues are closed in 227 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of memory-profiler is 0.6.1

            kandi-Quality Quality

              memory-profiler has 0 bugs and 0 code smells.

            kandi-Security Security

              memory-profiler has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              memory-profiler code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              memory-profiler has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              memory-profiler releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.

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            memory-profiler Key Features

            No Key Features are available at this moment for memory-profiler.

            memory-profiler Examples and Code Snippets

            No Code Snippets are available at this moment for memory-profiler.

            Community Discussions

            QUESTION

            Kedro - Memory management
            Asked 2021-Oct-23 at 05:49

            I am working on a Kedro 0.17.2 project that is running on out-of-memory issues and I'm trying to reduce the memory footprint.

            I'm doing the profiling by using mprof from the memory-profiler library and I noticed that there is always a child process and memory seems to duplicate in the main process after the first computation in the node that is running. Is it possible that Kedro is duplicating the dataframes in memory? And, if so, is there a way to avoid this?

            Notes:

            • I'm using the SequentialRunner
            • I'm not using the is_async cli option
            • I'm not using either multithreading or multiprocessing in the node execution

            ...

            ANSWER

            Answered 2021-Oct-18 at 09:45

            Hi @Ilspinheiro it's a little difficult to ascertain what's going on. In short, we do not expect Kedro to be duplicating memory out of the box, in theory this could be introduced by something in hooks.py.

            Either way, I can help you reduce your memory footprint:

            1. Persist data more often, reduce your use of implicit MemoryDataSets.
            2. Understand the particular logic in your node, what are you doing in Pandas? Is there a vectorized way of doing what you're trying to do?
            3. Use CachedDataSet if you use the same datasets over and over.
            4. Break up your pipelines into smaller ones and run each part individually. Mostly to narrow down the problem area(s).

            Source https://stackoverflow.com/questions/69592125

            QUESTION

            Amount of memory used in a function?
            Asked 2021-Jul-19 at 13:25

            Which python module can I use to calculate the amount of memory spent executing a function? I'm using memory_profiler, but it shows the amount of memory spent by each line of the algorithm, in this case I want one that shows the total amount spent.

            ...

            ANSWER

            Answered 2021-Jul-19 at 13:03

            You can use tracemalloc to do what memory_profiller does automatically. It's a little unfriendly but I think it does what you want to do pretty well.
            Just follow the code snippet below.

            Source https://stackoverflow.com/questions/68440690

            QUESTION

            Python memory_profiler: @profile not working on multithreading
            Asked 2021-Jun-02 at 15:32

            I have the following code from the example folder with the exception that I added @profile. I am just trying to make this example run because in my code which is more complex I have the same error and I would like to know how much memory is used on each line.

            SYSTEM:

            Python: 3.9

            memory-profiler: 0.58

            OS: Manjaro

            CODE:

            ...

            ANSWER

            Answered 2021-Jun-02 at 15:32

            The docs for memory_profiler : https://pypi.org/project/memory-profiler/ say the following if you use the decorator (@profile):

            In this case the script can be run without specifying -m memory_profiler in the command line.

            So I think you just need to run python MyScript.py

            Source https://stackoverflow.com/questions/67804505

            QUESTION

            How to reduce memory consumption (RAM) on Python/Django project?
            Asked 2020-Dec-31 at 06:54

            My memory usage on a Django DRF API project increases over time and RAM is getting filled once I reach 50+ API calls.

            So far I tried

            • loaded all models, class variable upfront
            • used memory profiler, cleaned code as possible to reduce variable usage
            • added garbage collection : gc.disable() at beginning and gc.enable() at end of code
            • added ctypes malloc.trim() at end of code etc
            • setting gunicorn max-requests limit ( this results in more model loading / response time at that moment)

            Any suggestions on how to free up memory at the end of each request ?

            ...

            ANSWER

            Answered 2020-Dec-31 at 06:51

            Due to the way that the CPython interpreter manages memory, it very rarely actually frees any allocated memory. Generally CPython processes will keep growing and growing in memory usage

            Since you are using Gunicorn you can set the max_requests setting which will regularly restart your workers and alleviate some "memory leak" issues

            Source https://stackoverflow.com/questions/65517527

            QUESTION

            Returning a MemitResult object and a function call when using memit magic in IPython
            Asked 2020-Oct-16 at 14:44

            So the issue I am having is that I want to measure the memory consumption and the time for a cell line in iPython on Google Colab, where the line is returning an object too. I am doing this with memory-profiler, so I can store all results of the benchmark in a file automatically.

            I found out that memit -o gives me a MemitResult object, but the issue is that the object assignment gives an undefined m̀odel:

            NameError: name 'model' is not defined

            A short MWE:

            ...

            ANSWER

            Answered 2020-Oct-16 at 14:44

            In the end, I used Weights and biases for tracking GPU and memory consumption at the same time.

            The setup was really easy, however I haven't yet found how to extract information like maximum, mininum etc.

            Setup:

            Source https://stackoverflow.com/questions/63709241

            QUESTION

            How to reinstall libjudy on AWS EC2 Amazon Linux instance
            Asked 2020-Jul-24 at 12:41

            I am trying to install a memory profiler (https://github.com/arnaud-lb/php-memory-profiler) on my EC2 instance (LAMP stack runnign php 7.2) as we are running in to memory allocation errors. During the installation, I get the following error:

            • checking for judy lib... yes, shared
            • checking for judy files in default path... not found
            • configure: error: Please reinstall the judy distribution
            • ERROR: `/tmp/pear/install/memprof/configure --with-php-config=/usr/bin/php-config' failed

            For the life of me, I cannot figure out how to reinstall the judy library. I've tried both pecl (No releases available for package "pecl.php.net/libjudy") and yum (No package libjudy available.)

            I've searched for ways to install it and have come up empty.

            Anyone have any advice?

            Thanks in advance.

            p.s. I have also asked this question of the memory profile developer.

            ...

            ANSWER

            Answered 2020-Jul-24 at 12:41

            try the following repository

            Download latest rpmforge-release rpm from

            Source https://stackoverflow.com/questions/63062618

            QUESTION

            How should I investigate a memory leak when using Google Cloud Datastore Python libraries?
            Asked 2020-Apr-25 at 09:15

            I have a web application which uses Google's Datastore, and has been running out of memory after enough requests.

            I have narrowed this down to a Datastore query. A minimum PoC is provided below, a slightly longer version which includes memory measuring is on Github.

            ...

            ANSWER

            Answered 2020-Apr-25 at 09:15

            I have narrowed down the memory leak to creation of the datastore.Client object.

            For the following proof-of-concept code, memory usage does not grow:

            Source https://stackoverflow.com/questions/61396879

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

            Vulnerabilities

            No vulnerabilities reported

            Install memory-profiler

            You can download it from GitHub.

            Support

            Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.
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