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Suppress jit trace warning + graph once #3454

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Jun 4, 2021
Merged

Suppress jit trace warning + graph once #3454

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c826378
Suppress jit trace warning + graph once
glenn-jocher Jun 4, 2021
4760d61
Update train.py
glenn-jocher Jun 4, 2021
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12 changes: 7 additions & 5 deletions train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,6 +4,7 @@
import os
import random
import time
import warnings
from copy import deepcopy
from pathlib import Path
from threading import Thread
Expand Down Expand Up @@ -323,18 +324,19 @@ def train(hyp, opt, device, tb_writer=None):
mloss = (mloss * i + loss_items) / (i + 1) # update mean losses
mem = '%.3gG' % (torch.cuda.memory_reserved() / 1E9 if torch.cuda.is_available() else 0) # (GB)
s = ('%10s' * 2 + '%10.4g' * 6) % (
'%g/%g' % (epoch, epochs - 1), mem, *mloss, targets.shape[0], imgs.shape[-1])
f'{epoch}/{epochs - 1}', mem, *mloss, targets.shape[0], imgs.shape[-1])
pbar.set_description(s)

# Plot
if plots and ni < 3:
f = save_dir / f'train_batch{ni}.jpg' # filename
Thread(target=plot_images, args=(imgs, targets, paths, f), daemon=True).start()
if tb_writer:
tb_writer.add_graph(torch.jit.trace(de_parallel(model), imgs, strict=False), []) # model graph
# tb_writer.add_image(f, result, dataformats='HWC', global_step=epoch)
if tb_writer and ni == 0:
with warnings.catch_warnings():
warnings.simplefilter('ignore') # suppress jit trace warning
tb_writer.add_graph(torch.jit.trace(de_parallel(model), imgs, strict=False), []) # graph
elif plots and ni == 10 and wandb_logger.wandb:
wandb_logger.log({"Mosaics": [wandb_logger.wandb.Image(str(x), caption=x.name) for x in
wandb_logger.log({'Mosaics': [wandb_logger.wandb.Image(str(x), caption=x.name) for x in
save_dir.glob('train*.jpg') if x.exists()]})

# end batch ------------------------------------------------------------------------------------------------
Expand Down