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23e73f9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | import os
from tensorboard.backend.event_processing.event_accumulator import EventAccumulator
target_dir = "/root/autodl-tmp/SplatAtlas/outputs/2dgs_barn"
tb_files = [os.path.join(target_dir, f) for f in os.listdir(target_dir) if "events.out.tfevents" in f]
if not tb_files:
print("No events found.")
exit()
ea = EventAccumulator(tb_files[0])
ea.Reload()
# 检查几个关键标量的值
interesting_scalars = [
'train/loss',
'train/num_gaussians',
'train/peak_vram_GB',
'train/grad_cos_sim'
]
print(f"{'Metric':<25} | {'Last Value':<15} | {'Step':<10}")
print("-" * 55)
for tag in interesting_scalars:
if tag in ea.Tags().get('scalars', []):
events = ea.Scalars(tag)
if events:
last_event = events[-1]
print(f"{tag:<25} | {last_event.value:<15.6f} | {last_event.step:<10}")
# 检查直方图是否有数据点
print("\nHistogram Status:")
for tag in ea.Tags().get('histograms', []):
hist_events = ea.Histograms(tag)
print(f" - {tag:<30}: {len(hist_events)} snapshots recorded")
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