Error using parallel.Future/fetchOutputs in Denoise Speech Using Deep Learning Networks Example
显示 更早的评论
Hello everyone,
I am trying to run the Matlab example to Denoise Speech Using Deep Learning Networks but I keep receiving an error at this line:
[targets,predictors] = gather(targets,predictors);
This line is expected to Use gather to evaluate the targets and predictors.
Although the tall expression is 100% being evaluated using the Parallel Pool, it still spits out some errors after evalutation.
Here's the full output when running the above line:
Evaluating tall expression using the Parallel Pool 'local':
- Pass 1 of 1: Completed in 4 min 31 sec
Evaluation 100% complete
Error Output:
Error using parallel.Future/fetchOutputs (line 346)
Internal problem while evaluating tall expression. The problem was:
One or more futures resulted in an error.
Error in parallel.internal.bigdata.ParallelPoolBroadcastMap>iRunOnAll (line 150)
[varargout{1:nargout}] = fetchOutputs(f);
Error in parallel.internal.bigdata.ParallelPoolBroadcastMap/synchronizeWorkerBroadcasts (line 112)
[newWorkerKeys, newWorkerValues] = iRunOnAll(@obj.getBroadcasts, keys);
Error in ...
Error in tall/gather (line 50)
[varargout{:}, readFailureSummary] = iGather(varargin{:});
I am using Matlab R2019a Update 9.
Does anyone know what I am possibly doing wrong?
2 个评论
Kojiro Saito
2021-7-29
It seems the same problem as this. You might get out of memory error. What is RAM size of your computer?
Daniel Graham
2021-7-29
采纳的回答
Kojiro Saito
2021-7-30
1 个投票
It might be out of memory error.
"MATLAB® can run out of memory if the result of the gather calculation is too large."
In this example, when I placed a break point after gather command, 7.4GB memory is occupied by MATLAB. 6.6 GB is used for MATLAB desktop process and other memories are used by Parallel workers.
So, 8GB RAM is not enough for executing this example.
I think there are two solutions.
- Try it on another machine which has more RAM.
- Reduce the audio files which were unzipped in tempdir\commonvoice (in Windows, it would be C:\Users\USERNAME\AppData\Local\Temp\commonvoice).
7 个评论
Daniel Graham
2021-8-1
Kojiro Saito
2021-8-1
You might still have out of memory error.
Could you open Windows Task Manager or top command in Linux to monitor memory usage?
Daniel Graham
2021-8-2
Kojiro Saito
2021-8-2
Possibly yes.
I tried this example with 4 CPU cores (8 logical cores) and 32GB RAM. In tall/gather executioin, up to 22GB was used. So, I can assure wiht 32 GB RAM.
Daniel Graham
2021-8-2
studentmatlaber
2022-2-15
@Kojiro Saito I have 16gb of RAM. So I won't be able to run this code?
Daniel Graham
2022-2-16
编辑：Daniel Graham
2022-2-16
更多回答（1 个）
amina
2023-11-29
0 个投票
svp comment vous avez fait pour reduire la taille, j'ai le meme probleme et j'essai de trouver une methode pour reduire les fichiers audio . aidez moi svp !
类别
在 帮助中心 和 File Exchange 中查找有关 Signal Generation 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
