So I want to watch the memory consumption of 2 algorithms? My plan for that was get the memory consumption before the algorithm, after the algorithm and then subtract the results. before = tracemalloc.get_traced_memory() algorithm() after = tracemalloc.get_traced_memory() print(after – before) So I tried it with that: import tracemalloc tracemalloc.start() before1 = tracemalloc.get_traced_memory() def recursive(i,max): ..
I’m encountering a subtle memory leak, and I’m unable to determine the source of the leak by using tracemalloc. I’m running the following code on google colab, which is meant to optimize hyperparameters for a custom ppo implementation. import os from time import perf_counter import numpy as np import optuna import pandas as pd import ..
I am working on Python, and I am interested in knowing the memory that is used during a process. For that purpose, I am using Python’s tracemalloc library: def getMemory(): """ takes a snapshot of memory at the current time """ return tracemalloc.take_snapshot() Anyhow, when I run my program I get the following error Traceback ..
I am running a python script that is invoked through a simple Flask application. I am running this on Heroku. Here is the workflow – Invoking a url in the Flask app triggers the python script using asyncio(this is required to let flask request return gracefully after triggering the script. Script continues executing for a ..
I have an application written in python 2.7 and I am found couple of memory leaks in it. Can I use tracemalloc to profile an application? Tracemalloc is introduced only in python 3.4 Source: Python-3x..
I’m looking for memory leaks in my code. First I am tryng to understand how to interpret the resuls so I created a small test program. I created an oject and then called the same method in a loop. There are no local variables in the method called so I wouldn’t expect any mallocs inside ..
I am using the tracemalloc library to pinpoint memory concerns in my application. This is the code that I am using. tracemalloc.start() snapshot = tracemalloc.take_snapshot() top_stats = snapshot.statistics(‘lineno’) numStats = len(top_stats) statsThreshold = 100 if numStats < statsThreshold: numStatsCollections = numStats else: numStatsCollections = statsThreshold collectedStats = str(top_stats[:numStatsCollections]) self.memLogger.error(‘n———-START———-n’ + collectedStats.replace(‘,’,’n’) + ‘n———-END———-n’) An example ..
I am trying to resolve a memory leak in Kodi (C++) which I believe is in my Python code running in Kodi’s embedded Python environment. I first tried adding: tracemalloc.start() as the first thing done in my plugin, but the call never returns. I also started Kodi with: ‘PYTHONTRACEMALLOC=2 kodi’ assuming that I needed to ..
I have a Flask service that leaks memory. I use the built-in tracemalloc library to trace it, similarly to this guide. However, my service, when it loads, takes about 9G of memory (and due to the leak it goes up to 14G…), and the call to tracemalloc.take_snapshot() is extremely slow: about 5 minutes. Since its ..