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New train profile argument for loggers (#2862)

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Glenn Jocher 2023-05-28 03:51:49 +02:00 • committed by GitHub
parent 0bdd4ad379
commit 6391c60089
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17 changed files with 76 additions and 47 deletions
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9
ultralytics/yolo/utils/callbacks/comet.py
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@ -1,9 +1,10 @@
# Ultralytics YOLO 🚀, AGPL-3.0 license
import os
from pathlib import Path
from ultralytics.yolo.utils import LOGGER, RANK, TESTS_RUNNING, ops
from ultralytics.yolo.utils.torch_utils import get_flops, get_num_params
from ultralytics.yolo.utils.torch_utils import model_info_for_loggers
try:
import comet_ml
@ -324,11 +325,7 @@ def on_fit_epoch_end(trainer):
experiment.log_metrics(trainer.metrics, step=curr_step, epoch=curr_epoch)
experiment.log_metrics(trainer.lr, step=curr_step, epoch=curr_epoch)
if curr_epoch == 1:
model_info = {
'model/parameters': get_num_params(trainer.model),
'model/GFLOPs': round(get_flops(trainer.model), 3),
'model/speed(ms)': round(trainer.validator.speed['inference'], 3), }
experiment.log_metrics(model_info, step=curr_step, epoch=curr_epoch)
experiment.log_metrics(model_info_for_loggers(trainer), step=curr_step, epoch=curr_epoch)
if not save_assets:
return