| # Copyright (c) ModelScope Contributors. All rights reserved. | |
| import gc | |
| from .base import MegatronCallback | |
| class DefaultFlowCallback(MegatronCallback): | |
| def on_train_begin(self): | |
| args = self.args | |
| if args.manual_gc: | |
| gc.disable() | |
| gc.collect() | |
| def on_step_end(self): | |
| args = self.args | |
| state = self.state | |
| state.consumed_train_samples += args.global_batch_size | |
| if state.iteration == 1 or state.iteration % args.logging_steps == 0: | |
| state.should_log = True | |
| if args.eval_steps and state.iteration % args.eval_steps == 0 and args.eval_iters > 0: | |
| state.should_eval = True | |
| if args.save_steps and state.iteration % args.save_steps == 0: | |
| state.should_save = True | |
| if state.iteration >= args.train_iters: | |
| if args.eval_iters > 0: | |
| state.should_eval = True | |
| state.should_save = True | |
| if args.manual_gc and args.manual_gc_steps != 0 and state.iteration % args.manual_gc_steps == 0: | |
| gc.collect() | |
| def on_eval_begin(self): | |
| args = self.args | |
| if args.manual_gc and args.manual_gc_eval: | |
| gc.collect() | |
| def on_eval_end(self): | |
| args = self.args | |
| if args.manual_gc and args.manual_gc_eval: | |
| gc.collect(generation=0) | |