austin
tqdm
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austin | tqdm | |
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12 | 33 | |
1,355 | 27,451 | |
- | 1.5% | |
7.2 | 7.0 | |
19 days ago | 3 days ago | |
C | Python | |
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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austin
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Memray β A Memory Profiler for Python
I collected a list of profilers (also memory profilers, also specifically for Python) here: https://github.com/albertz/wiki/blob/master/profiling.md
Currently I actually need a Python memory profiler, because I want to figure out whether there is some memory leak in my application (PyTorch based training script), and where exactly (in this case, it's not a problem of GPU memory, but CPU memory).
I tried Scalene (https://github.com/plasma-umass/scalene), which seems to be powerful, but somehow the output it gives me is not useful at all? It doesn't really give me a flamegraph, or a list of the top lines with memory allocations, but instead it gives me a listing of all source code lines, and prints some (very sparse) information on each line. So I need to search through that listing now by hand to find the spots? Maybe I just don't know how to use it properly.
I tried Memray, but first ran into an issue (https://github.com/bloomberg/memray/issues/212), but after using some workaround, it worked now. I get a flamegraph out, but it doesn't really seem accurate? After a while, there don't seem to be any new memory allocations at all anymore, and I don't quite trust that this is correct.
There is also Austin (https://github.com/P403n1x87/austin), which I also wanted to try (have not yet).
Somehow this experience so far was very disappointing.
(Side node, I debugged some very strange memory allocation behavior of Python before, where all local variables were kept around after an exception, even though I made sure there is no reference anymore to the exception object, to the traceback, etc, and I even called frame.clear() for all frames to really clear it. It turns out, frame.f_locals will create another copy of all the local variables, and the exception object and all the locals in the other frame still stay alive until you access frame.f_locals again. At that point, it will sync the f_locals again with the real (fast) locals, and then it can finally free everything. It was quite annoying to find the source of this problem and to find workarounds for it. https://github.com/python/cpython/issues/113939)
- Pystack: Like Pstack but for Python
- High performance profiling for Python 3.11
- What are my Python processes at?
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tqdm (Python)
Just wanted to add Austin: Python frame stack sampler for CPython written in pure C (https://github.com/P403n1x87/austin)
- Pyheatmagic: Profile and view your Python code as a heat map
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Spy on Python down to the Linux kernel level
If you follow the call stack carefully you should be able to get to the point where sklearn calls ddot_kernel_8 (indirectly in this case). Austin(p) reports source files as well, so that shouldn't be a problem (provided all the debug symbols are available). If you're collecting data with austinp, don't forget to resolve symbol names with the resolve.py utility (https://github.com/P403n1x87/austin/blob/devel/utils/resolve..., see the README for more details: https://github.com/P403n1x87/austin/blob/devel/utils/resolve...)
- (How to) profile python code?
- Spy on the Python garbage collector with Austin 3.1
- Austin 3: 0-instrumentation, 0-impact Python CPU/wall time and memory profiling
tqdm
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Neat Parallel Output in Python
yeah my code needs to use multiprocessing, which does not play nice with tqdm. thanks for the tip about positions though, that helped me search more effectively and came up with two promising comments. unmerged / require some workarounds, but might just work:
https://github.com/tqdm/tqdm/issues/1000#issuecomment-184208...
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The Gems of Moreutils
> Like tqdm (Python progressbar library) but as a Unix utility.
FYI: tqdm can be used in a shell pipeline as well. It's documented (at least) in their readme: https://github.com/tqdm/tqdm#module
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Helper class for tracking the progress of iteration in CLI
BTW, my inspiration was https://github.com/tqdm/tqdm library for python and any contribution is welcome to add similar functionality.
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I have this function I have written that shows how much of a percentage is done given progress in a loop..so..if you are iterating through a loop that is 500 long, at 200 it says "40%",240 "48%", and so on, but, how do you just change the value on the screen, not print a new one on a new line?
I can recommend you the package tqdm (https://github.com/tqdm/tqdm) You can replace the standard for statement with it, or use it with any other iterable. By default, it gives you a progress bar with a percentage and ETA, but you can also configure it to only print the percentage, if you want that. If you want to use print statements, adding \r at the beginning and not putting a line end should also do the trick.
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I keep getting this issue, can anyone help??
you try to run an python script that requires the tqdm package and also a regex package (what normally should be installed, when installing python). Blender tries to install these packages without success. You probably have to do it on your own by installing them in your pythons virtual environment.
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[2022 Day11 (Part2)] [python] brute force
If OP is using python that might be the output of python's tqdm.
- How to implement a progress bar for non verbose commands?
- tqdm/tqdm: A Fast, Extensible Progress Bar for Python and CLI
- Return progress of loop without impacting performance of loop
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Client-server not closing connection properly on keyboard interrupt
I have a client-server socket program where the server sends a file to the client. The server is designed to allow multiple clients using threading. For the file transfer on the client, I am using the tqdm library (https://github.com/tqdm/tqdm).
What are some alternatives?
pyinstrument - π΄Β Call stack profiler for Python. Shows you why your code is slow!
rich - Rich is a Python library for rich text and beautiful formatting in the terminal.
SnakeViz - An in-browser Python profile viewer
alive-progress - A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!
line_profiler - Line-by-line profiling for Python
CUTIE - Command line User Tools for Input Easification
schema - Schema validation just got Pythonic
enlighten - Enlighten Progress Bar for Python Console Apps
yappi - Yet Another Python Profiler, but this time multithreading, asyncio and gevent aware.
progressbar - Terminal-based progress bar for Java / JVM
pystack - π π Like pstack but for Python!
fastprogress - Simple and flexible progress bar for Jupyter Notebook and console