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added sumbmodules

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This commit is contained in:
leno3003 2022-03-31 10:45:43 +02:00
parent 611a6f2e53
commit 463752752a
1 changed files with 16 additions and 16 deletions
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32
mainscripts/Trainer.py
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@ -84,15 +84,15 @@ def trainerThread (s2c, c2s, e,
if model.get_target_iter() != 0: if model.get_target_iter() != 0:
if is_reached_goal: if is_reached_goal:
answer_filename = 'workspace/interact/interact_dict.pkl' # answer_filename = 'workspace/interact/interact_dict.pkl'
if os.path.exists(answer_filename): # if os.path.exists(answer_filename):
with open(answer_filename, 'rb') as file: # with open(answer_filename, 'rb') as file:
parameters = pickle.load(file) # parameters = pickle.load(file)
if parameters['NoInteractiveMode']: # if parameters['NoInteractiveMode']:
print("Entro 1") # print("Entro 1")
model_save() # model_save()
os._exit(1) # os._exit(1)
else: # else:
io.log_info('Model already trained to target iteration. You can use preview.') io.log_info('Model already trained to target iteration. You can use preview.')
else: else:
io.log_info('Starting. Target iteration: %d. Press "Enter" to stop training and save model.' % ( model.get_target_iter() ) ) io.log_info('Starting. Target iteration: %d. Press "Enter" to stop training and save model.' % ( model.get_target_iter() ) )
@ -174,13 +174,13 @@ def trainerThread (s2c, c2s, e,
is_reached_goal = True is_reached_goal = True
io.log_info ('You can use preview now.') io.log_info ('You can use preview now.')
answer_filename = 'workspace/interact/interact_dict.pkl' answer_filename = 'workspace/interact/interact_dict.pkl'
if os.path.exists(answer_filename): # if os.path.exists(answer_filename):
with open(answer_filename, 'rb') as file: # with open(answer_filename, 'rb') as file:
parameters = pickle.load(file) # parameters = pickle.load(file)
if parameters['NoInteractiveMode']: # if parameters['NoInteractiveMode']:
print("Entro 2 ") # print("Entro 2 ")
model_save() # model_save()
#os._exit(1) # #os._exit(1)
need_save = False need_save = False
while time.time() - last_save_time >= save_interval_min*60: while time.time() - last_save_time >= save_interval_min*60: