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Right now, we have documented the following options of running the data pipeline:
Docker + CPU
Docker + GPU
Outside of Docker + CPU
as there might be performance gains to be had by skipping docker in the GPU setup, it could make sense to work out a reproducible setup for directly running our pipeline with CUDA support on the host os (specific ffmpeg installation, specific cuda installation, specific python package versions built with the correct cuda version etc.).
The text was updated successfully, but these errors were encountered:
Right now, we have documented the following options of running the data pipeline:
as there might be performance gains to be had by skipping docker in the GPU setup, it could make sense to work out a reproducible setup for directly running our pipeline with CUDA support on the host os (specific ffmpeg installation, specific cuda installation, specific python package versions built with the correct cuda version etc.).
The text was updated successfully, but these errors were encountered: