facebookresearch--audiocraft
Jade Clara Copet
39 行
1.2 KiB
Python
39 行
1.2 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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import logging
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import typing as tp
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import dora
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import torch
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logger = logging.getLogger(__name__)
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class Profiler:
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"""Context manager wrapper for xformers profiler.
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"""
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def __init__(self, module: torch.nn.Module, enabled: bool = False):
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self.profiler: tp.Optional[tp.Any] = None
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if enabled:
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from xformers.profiler import profile
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output_dir = dora.get_xp().folder / 'profiler_data'
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logger.info("Profiling activated, results with be saved to %s", output_dir)
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self.profiler = profile(output_dir=output_dir, module=module)
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def step(self):
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if self.profiler is not None:
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self.profiler.step() # type: ignore
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def __enter__(self):
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if self.profiler is not None:
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return self.profiler.__enter__() # type: ignore
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def __exit__(self, exc_type, exc_value, exc_tb):
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if self.profiler is not None:
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return self.profiler.__exit__(exc_type, exc_value, exc_tb) # type: ignore
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