demucs/grids/mdx.py [17:28]:
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@MyExplorer
def explorer(launcher):
    launcher.slurm_(
        gpus=8,
        time=3 * 24 * 60,
        partition='learnlab')

    # Reproduce results from MDX competition Track A
    # This trains the first round of models. Once this is trained,
    # you will need to schedule `mdx_refine`.
    for sig in TRACK_A:
        xp = main.get_xp_from_sig(sig)
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demucs/grids/mdx_refine.py [15:25]:
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@MyExplorer
def explorer(launcher):
    launcher.slurm_(
        gpus=8,
        time=3 * 24 * 60,
        partition='learnlab')

    # Reproduce results from MDX competition Track A
    # WARNING: all the experiments in the `mdx` grid must have completed.
    for sig in TRACK_A:
        xp = main.get_xp_from_sig(sig)
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