Fedor Kurushin

Results 20 comments of Fedor Kurushin

I have fixed this bug by creating try except block in a while loop with sleep and retry: ```python # init conn = aiohttp.TCPConnector(limit_per_host=30) self.__session = aiohttp.ClientSession( self.__url, # timeout=self.__timeout,...

@UlionTse Hi, thanks for the answering! ```json {'requestId': '000BA97B-6029-4904-A518-99616C92E01A', 'success': False, 'httpStatusCode': 500, 'code': 'ExceededLimit', 'message': 'Today text translate number exceeded limit', 'data': None} ``` got this output with `is_detail_result=True`....

Hi, it looks like you have wrong executable path. You can rewrite it in the settings, for me works: `/usr/local/bin/pycodestyle`(I installed package without any venv). But, unfortunately I had another...

ive tried to install go-faiss using instructions [above](https://github.com/DataIntelligenceCrew/go-faiss/issues/7#issuecomment-1401921992) , despite I've got the same error. Adding `export CGO_CFLAGS="-I /usr/local/include"` to my bash profile solved problem. PS After i have another...

@riderodd Okay, does it load the same model every time the user opens the app, or does it load it once at a time?

@arvindc28 Hi ! try add num_layers ```python P, R, F1 = score( candidate, reference, lang="ru", verbose=True, model_type="DeepPavlov/rubert-base-cased", num_layers=12, rescale_with_baseline=True ) ```

> [@fkurushin](https://github.com/fkurushin) Which ClearML SDK, agent and server versions are you using? CLEARML-AGENT version 1.7.0 CLEARML-SERVER version 1.13.2

> [@fkurushin](https://github.com/fkurushin) clearml python package version? The latest version installed with pip `clearml 1.18.0`

> Hi [@fkurushin](https://github.com/fkurushin) ! I believe this is indeed a bug. The parent is ignored in the execution if the child does not take as input any of the parent's...

Hi! @ainoam, this is the short example: ```python import os import logging import argparse import yaml from pathlib import Path from clearml.automation.controller import PipelineDecorator from app.components import train_data_prepare_job, recommendation_job, evaluation_job...