generated from thinkode/modelRepository
35 lines
1.1 KiB
Python
35 lines
1.1 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the license found in the
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# LICENSE file in the root directory of this source tree.
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"""
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Main training for the Track A MDX models.
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"""
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from ._explorers import MyExplorer
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from .mdx import TRACK_A
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from ..train import main
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@MyExplorer
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def explorer(launcher):
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launcher.slurm_(
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gpus=8,
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time=3 * 24 * 60,
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partition='learnlab')
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# Reproduce results from MDX competition Track A
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# WARNING: all the experiments in the `mdx` grid must have completed.
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for sig in TRACK_A:
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xp = main.get_xp_from_sig(sig)
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launcher(xp.argv)
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for diffq in [1e-4, 3e-4]:
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xp_src = main.get_xp_from_sig(xp.cfg.continue_from)
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q_argv = [f'quant.diffq={diffq}']
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actual_src = main.get_xp(xp_src.argv + q_argv)
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actual_src.link.load()
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assert len(actual_src.link.history) == actual_src.cfg.epochs
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argv = xp.argv + q_argv + [f'continue_from="{actual_src.sig}"']
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launcher(argv)
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