Error using parallel.F​uture/fetc​hOutputs in Denoise Speech Using Deep Learning Networks Example

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Daniel Graham
Daniel Graham on 28 Jul 2021
Edited: Daniel Graham on 16 Feb 2022
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?

Accepted Answer

Kojiro Saito
Kojiro Saito on 30 Jul 2021
It might be out of memory error.
tall array can handle big data, but as tall/gather document says,
"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).

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