Pool.apply_async is also like Python's built-in apply, except that the call returns immediately instead of waiting for the result. An ApplyResult object is returned. You call its get() method to retrieve the re
where the problem persists across multiple GPU setups. In contrast, version 0.3.3 continues to perform as expected, even after handling tens of thousands of requests over several days. I use the qwen1.5-72b model with a tensor parallelism (tp) of 4. It appears that the bug was introduced ...
We can then make use of the type as, say, a function parameter, and the language can check that these exact types are passed at compile time to the function when instantiated. In summary, to make use of string-based enum types, we can reference them by using the name of the enum and...
One more example: when you need to userequestsin asyncio.requests.getis just synchronous long running function, which you shouldn't call inside async code (again, to avoid freezing). But it's running long because of I/O, not because of long calculations. In that case, you can useThreadPoo...
Assigning the Scientific Notation(with E) to Double Variable Assigning values to XML Elements & Attributes in C# Async and Await will span new thread Async Await for I/O- and CPU-bound Async await not returning async await not working properly Async await, prioritize requests Async read from ...
model = TrtModel('path/to/model.engine', device_id=2) model2 = TrtModel('another model', device_id=3) inputs = np.random.rand(32,3,112,112).astype(np.float32)whileTrue:withThreadPool(5)aspool: res1 = [pool.apply_async(model.run, (model.output_names, {model.input_names[0]:...
Assuming that the child thread has to create the event loop, here is updated code that creates a new event loop and runs it in the child thread. It still has the same hanging problem as before. import asyncio from threading import Thread, Semaphore async def onRequest(data): print('got ...
I think in your case after reviewing the library, I would say it has to do with this: github.com openai/openai-python/blob/main/openai/api_requestor.py import asyncio import json import time import platform import sys import threading import time import warnings from contextlib import asyncco...
python-3.7.9-h86c8c07_7 file:///opt/intel/oneapi/conda_channel/linux-64::asn1crypto-1.4.0-py37_2 file:///opt/intel/oneapi/conda_channel/linux-64::async-timeout-3.0.1-py37h06a4308_0 defaults/linux-64::async_generator-1.10-py37h28b3542_0 file:///opt/int...
Issue I am trying prepare and then submit a new experiment to Azure Machine Learning from an Azure Function in Python. I therefore register a new dataset for my Azure ML workspace, which contains the training data for my ML model using…