33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
# Copyright (c) ModelScope Contributors. All rights reserved.
|
|
from swift.utils import check_json_format, is_last_rank
|
|
from .base import MegatronCallback
|
|
from .utils import rewrite_logs
|
|
|
|
|
|
class TensorboardCallback(MegatronCallback):
|
|
|
|
def __init__(self, trainer):
|
|
super().__init__(trainer)
|
|
args = self.args
|
|
self.config = check_json_format(vars(args))
|
|
self.save_dir = args.tensorboard_dir
|
|
if self.save_dir is None:
|
|
self.save_dir = f'{args.output_dir}/runs'
|
|
from torch.utils.tensorboard import SummaryWriter
|
|
self.writer = None
|
|
if is_last_rank():
|
|
self.writer = SummaryWriter(log_dir=self.save_dir, max_queue=args.tensorboard_queue_size)
|
|
for k, v in self.config.items():
|
|
self.writer.add_text(k, str(v), global_step=self.state.iteration)
|
|
|
|
def on_log(self, logs):
|
|
logs = rewrite_logs(logs)
|
|
if self.writer:
|
|
for k, v in logs.items():
|
|
self.writer.add_scalar(k, v, self.state.iteration)
|
|
|
|
def on_train_end(self):
|
|
if self.writer:
|
|
self.writer.close()
|
|
self.writer = None
|