memory-profiler | A memory profiler for Linux | Monitoring library
kandi X-RAY | memory-profiler Summary
kandi X-RAY | memory-profiler Summary
A memory profiler for Linux.
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Trending Discussions on memory-profiler
QUESTION
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 09:45Hi @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:
- Persist data more often, reduce your use of implicit
MemoryDataSets
. - 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?
- Use CachedDataSet if you use the same datasets over and over.
- Break up your pipelines into smaller ones and run each part individually. Mostly to narrow down the problem area(s).
QUESTION
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 13:03You 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.
QUESTION
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 15:32The 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
QUESTION
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 06:51Due 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
QUESTION
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 14:44In 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:
QUESTION
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 12:41try the following repository
Download latest rpmforge-release rpm from
QUESTION
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 09:15I 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:
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