WebJan 22, 2024 · the most useful way I found to debug is to use torch.cuda.memory_allocated () and torch.cuda.max_memory_allocated () to print a percent of used memory at the top of the training loop. Then look at your training loop, add a continue statement right below the first line and run the training loop. If your memory usage holds steady, move the ... WebBest practices boto3 with flask (memory leak) I have a simple flask api which downloads and uploads files to s3. This is hosted on an Apache server on an EC2. I use boto3 to do …
How to Combat Python Memory Leaks Scout APM Blog
WebJun 5, 2024 · My Flask API has a small memory leak that over a number of API calls causes my application to hit it's memory limit and crash. I've been trying to figure out why some memory isn't being released with no … WebMar 7, 2024 · Looking at memory usage showed that the reflector's memory footprint increased monotonically and continuously, indicating a memory leak. tracemalloc, a powerful memory tracking tool in the Python standard library, made it possible to quickly diagnose and fix the leak. bridlington stationary
Flask App Memory Leak caused by each API call : r/codehunter
WebJul 29, 2024 · This is a story of how I chased a memory leak in one of the Python 3.7 web services that I developed. Before I go down too deep in to the issue, I would like to set … WebA memory leak occurs when a programmer forgets to clear a memory allocated in heap memory. You can consider it as wastage or a type of resource leak. Memory leaks in … WebJun 18, 2024 · #1 Jun-17-2024, 05:16 PM I'm having an issue where every time I run a method in a Flask service, the memory grows. Not sure why. This looks to be the problem method: 1 2 3 4 5 6 7 def save_figure_to_bytes (): buf = io.BytesIO () plt.savefig (buf, format="png") plt.close () encoded_str = str(base64.b64encode (buf.getvalue ()), "UTF … canyon funding