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So suppose I have 4 million audio files, and I want to extract the features using Encodec. I found that the extracting process is kind of slow, where Computing features in batches: 183301it [19:36, 176.40it/s]. The extracting process only leverages single GPU. So I was wonder whether we can use multi-GPU to accelerate the extraction process in the compute_and_store_features_batch.
The text was updated successfully, but these errors were encountered:
It will be more robust if you split your manifest into parts and process each part separately. You can launch the script multiple times with GPU ID as an argument.
So suppose I have 4 million audio files, and I want to extract the features using
Encodec
. I found that the extracting process is kind of slow, whereComputing features in batches: 183301it [19:36, 176.40it/s]
. The extracting process only leverages single GPU. So I was wonder whether we can use multi-GPU to accelerate the extraction process in thecompute_and_store_features_batch
.The text was updated successfully, but these errors were encountered: