xkrs_manan/RODY
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

每轮返回中间值

Browse Source
This commit is contained in:
JIAKUNHAO 2022-11-28 17:24:23 +08:00
parent bb163578d6
commit 5d3b268958
1 changed files with 4 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
app/yolov5/train_server.py
View File

@ -356,6 +356,7 @@ def train(hyp, opt, device, data_list,id,getsomething,callbacks): # hyp is path
if RANK in {-1, 0}: if RANK in {-1, 0}:
pbar = tqdm(pbar, total=nb, bar_format='{l_bar}{bar:10}{r_bar}{bar:-10b}') # progress bar pbar = tqdm(pbar, total=nb, bar_format='{l_bar}{bar:10}{r_bar}{bar:-10b}') # progress bar
optimizer.zero_grad() optimizer.zero_grad()
tempLoss = 0
for i, (imgs, targets, paths, _) in pbar: # batch ------------------------------------------------------------- for i, (imgs, targets, paths, _) in pbar: # batch -------------------------------------------------------------
#callbacks.run('on_train_batch_start') #callbacks.run('on_train_batch_start')
print("start get global_var") print("start get global_var")
@ -406,7 +407,8 @@ def train(hyp, opt, device, data_list,id,getsomething,callbacks): # hyp is path
# Backward # Backward
scaler.scale(loss).backward() scaler.scale(loss).backward()
report_cellback(epoch, epochs, float(loss)) tempLoss = float(loss)
# Optimize - https://pytorch.org/docs/master/notes/amp_examples.html # Optimize - https://pytorch.org/docs/master/notes/amp_examples.html
if ni - last_opt_step >= accumulate: if ni - last_opt_step >= accumulate:
@ -429,7 +431,7 @@ def train(hyp, opt, device, data_list,id,getsomething,callbacks): # hyp is path
if callbacks.stop_training: if callbacks.stop_training:
return return
# end batch ------------------------------------------------------------------------------------------------ # end batch ------------------------------------------------------------------------------------------------
report_cellback(epoch, epochs, tempLoss)
# Scheduler # Scheduler
lr = [x['lr'] for x in optimizer.param_groups] # for loggers lr = [x['lr'] for x in optimizer.param_groups] # for loggers
scheduler.step() scheduler.step()