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I've performed normal training with multiple GPU with the m6 model on 3 GPUs, and I could fit a batch_size of 57.
However when I tried the multi GPU code for hyperparameter optimization, it seems that I could only specify a batch size of about 18.
How does the multi GPU hyperparameter evolution differs from single GPU run? Does it speed up the progress?
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I've performed normal training with multiple GPU with the m6 model on 3 GPUs, and I could fit a batch_size of 57.
However when I tried the multi GPU code for hyperparameter optimization, it seems that I could only specify a batch size of about 18.
How does the multi GPU hyperparameter evolution differs from single GPU run? Does it speed up the progress?
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