Unchecking "Automatically create a parallel pool.." does not start the pool automatically anymore. This behaviour seems to be different from previous versions.
Running trainNetwork() starts parallel pool in Matlab 2023b even when options.ExecutionEnvironment = 'cpu'
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It seems the behaviour of trainNetwork has changed. I have a for loop that performs a grid search of models' hyper-parameters. After updating to version 2023b, parallel pool is being started whenever trainNetwork is invoked. Is this a bug or trainNetwork behaviour changed?
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Artem Lensky
2023-9-22
编辑:Artem Lensky
2023-9-22
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Joss Knight
2023-9-25
Experiment Manager can do an parameter sweep in whatever way you like, and the parameters can be anything you like, so rng seeds for instance.
Implementing a specific grid search algorithm (sweeping one parameter at a time) may require more manual intervention I'll admit. But you might still find it saves you time.
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