59 lines
2.1 KiB
Python
59 lines
2.1 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright (c) Alibaba, Inc. and its affiliates.
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import os.path as osp
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import torch
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from safetensors.torch import save_file
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from scepter.modules.solver.hooks.hook import Hook
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from scepter.modules.solver.hooks.registry import HOOKS
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from scepter.modules.utils.config import dict_to_yaml
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from scepter.modules.utils.distribute import we
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from scepter.modules.utils.file_system import FS
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_DEFAULT_CHECKPOINT_PRIORITY = 300
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@HOOKS.register_class()
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class SafetensorsHook(Hook):
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para_dict = [{
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'PRIORITY': {
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'value': _DEFAULT_CHECKPOINT_PRIORITY,
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'description': 'the priority for processing!'
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},
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'INTERVAL': {
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'value': 1,
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'description': 'the interval of saving checkpoint!'
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}
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}]
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def __init__(self, cfg, logger=None):
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super(SafetensorsHook, self).__init__(cfg, logger=logger)
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self.priority = cfg.get('PRIORITY', _DEFAULT_CHECKPOINT_PRIORITY)
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self.interval = cfg.get('INTERVAL', 5000)
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self.save_name_prefix = cfg.get('SAVE_NAME_PREFIX', 'ldm_step')
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def after_iter(self, solver):
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if solver.total_iter != 0 and (
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(solver.total_iter + 1) % self.interval == 0
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or solver.total_iter == solver.max_steps - 1):
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state_dict, metadata = solver.save_safetensors()
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solver.logger.info(
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f'Saving safetensors after {solver.total_iter + 1} steps')
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if we.rank == 0:
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save_path = osp.join(
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solver.work_dir, 'safetensors/{}-{}.safetensors'.format(
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self.save_name_prefix, solver.total_iter + 1))
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with FS.put_to(save_path) as local_path:
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with open(local_path, 'wb'):
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save_file(state_dict, local_path, metadata)
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torch.cuda.synchronize()
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if we.is_distributed:
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torch.distributed.barrier()
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@staticmethod
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def get_config_template():
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return dict_to_yaml('hook',
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__class__.__name__,
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SafetensorsHook.para_dict,
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set_name=True)
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