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ai-voice-cloning-fork
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actually fixed the training output text parser

master
mrq 2023-02-25 16:44:25 +07:00
parent 65329dba31
commit aafeb9f96a
1 changed files with 82 additions and 64 deletions
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146
src/utils.py
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@ -470,10 +470,14 @@ class TrainingState():
self.epoch_rate = ""
self.epoch_time_start = 0
self.epoch_time_end = 0
self.epoch_time_deltas = 0
self.epoch_taken = 0
self.it_rate = ""
self.it_time_start = 0
self.it_time_end = 0
self.it_time_deltas = 0
self.it_taken = 0
self.last_step = 0
self.eta = "?"
@ -482,9 +486,8 @@ class TrainingState():
print("Spawning process: ", " ".join(self.cmd))
self.process = subprocess.Popen(self.cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, universal_newlines=True)
def parse(self, line, verbose=False, buffer_size=8, progress=None, owner=True):
if owner:
self.buffer.append(f'{line}')
def parse(self, line, verbose=False, buffer_size=8, progress=None ):
self.buffer.append(f'{line}')
# rip out iteration info
if not self.training_started:
@ -499,10 +502,10 @@ class TrainingState():
if match and len(match) > 0:
self.it = int(match[0].replace(",", ""))
else:
lapsed = line.find('100%|') == 0 and self.open_state
lapsed = False
if line.find('%|') > 0:
match = re.findall(r' +?(\d+)%\|(.+?)\| (\d+|\?)\/(\d+|\?) \[(.+?)<(.+?), +(.+?)\]', line)
match = re.findall(r'(\d+)%\|(.+?)\| (\d+|\?)\/(\d+|\?) \[(.+?)<(.+?), +(.+?)\]', line)
if match and len(match) > 0:
match = match[0]
percent = int(match[0])/100.0
@ -513,47 +516,65 @@ class TrainingState():
until = match[5]
rate = match[6]
epoch_percent = self.epoch / float(self.epochs)
if owner:
last_step = self.last_step
self.last_step = step
if last_step < step:
self.it = self.it + (step - last_step)
if last_step > step and step == 0:
lapsed = True
self.it_time_end = time.time()
self.it_time_delta = self.it_time_end-self.it_time_start
self.it_time_start = time.time()
self.it_rate = f'[{"{:.3f}".format(self.it_time_delta)}s/it]' if self.it_time_delta >= 1 else f'[{"{:.3f}".format(1/self.it_time_delta)}it/s]'
self.eta = (self.its - self.it) * self.it_time_delta
self.eta_hhmmss = str(timedelta(seconds=int(self.eta)))
epoch_percent = self.it / float(self.its) # self.epoch / float(self.epochs)
last_step = self.last_step
self.last_step = step
if last_step < step:
self.it = self.it + (step - last_step)
if last_step == step and step == steps:
lapsed = True
self.it_time_end = time.time()
self.it_time_delta = self.it_time_end-self.it_time_start
self.it_time_start = time.time()
try:
rate = f'[{"{:.3f}".format(self.it_time_delta)}s/it]' if self.it_time_delta >= 1 else f'[{"{:.3f}".format(1/self.it_time_delta)}it/s]'
self.it_rate = rate
except Exception as e:
pass
"""
# I wanted frequently updated ETA, but I can't wrap my noggin around getting it to work on an empty belly
# will fix later
#self.eta = (self.its - self.it) * self.it_time_delta
self.it_time_deltas = self.it_time_deltas + self.it_time_delta
self.it_taken = self.it_taken + 1
self.eta = (self.its - self.it) * (self.it_time_deltas / self.it_taken)
try:
eta = str(timedelta(seconds=int(self.eta)))
self.eta_hhmmss = eta
except Exception as e:
pass
"""
message = f'[{self.epoch}/{self.epochs}] [{self.it}/{self.its}] [ETA: {self.eta_hhmmss}] {self.epoch_rate} / {self.it_rate} {self.status}'
if progress is not None:
progress(epoch_percent, message)
if owner:
# print(f'{"{:.3f}".format(percent*100)}% {message}')
self.buffer.append(f'[{"{:.3f}".format(epoch_percent*100)}% / {"{:.3f}".format(percent*100)}%] {message}')
if line.find('%|') > 0 and not self.open_state:
if owner:
self.open_state = True
elif lapsed and self.open_state:
if owner:
self.open_state = False
self.epoch = self.epoch + 1
self.it = int(self.epoch * (self.dataset_size / self.batch_size))
self.epoch_time_end = time.time()
self.epoch_time_delta = self.epoch_time_end-self.epoch_time_start
self.epoch_time_start = time.time()
self.epoch_rate = f'[{"{:.3f}".format(self.epoch_time_delta)}s/epoch]' if self.epoch_time_delta >= 1 else f'[{"{:.3f}".format(1/self.epoch_time_delta)}epoch/s]' # I doubt anyone will have it/s rates, but its here
self.eta = (self.epochs - self.epoch) * self.epoch_time_delta
self.eta_hhmmss = str(timedelta(seconds=int(self.eta)))
# print(f'{"{:.3f}".format(percent*100)}% {message}')
self.buffer.append(f'[{"{:.3f}".format(epoch_percent*100)}% / {"{:.3f}".format(percent*100)}%] {message}')
if lapsed:
self.epoch = self.epoch + 1
self.it = int(self.epoch * (self.dataset_size / self.batch_size))
self.epoch_time_end = time.time()
self.epoch_time_delta = self.epoch_time_end-self.epoch_time_start
self.epoch_time_start = time.time()
self.epoch_rate = f'[{"{:.3f}".format(self.epoch_time_delta)}s/epoch]' if self.epoch_time_delta >= 1 else f'[{"{:.3f}".format(1/self.epoch_time_delta)}epoch/s]' # I doubt anyone will have it/s rates, but its here
#self.eta = (self.epochs - self.epoch) * self.epoch_time_delta
self.epoch_time_deltas = self.epoch_time_deltas + self.epoch_time_delta
self.epoch_taken = self.epoch_taken + 1
self.eta = (self.epochs - self.epoch) * (self.epoch_time_deltas / self.epoch_taken)
try:
eta = str(timedelta(seconds=int(self.eta)))
self.eta_hhmmss = eta
except Exception as e:
pass
percent = self.epoch / float(self.epochs)
message = f'[{self.epoch}/{self.epochs}] [{self.it}/{self.its}] [ETA: {self.eta_hhmmss}] {self.epoch_rate} / {self.it_rate} {self.status}'
@ -561,35 +582,32 @@ class TrainingState():
if progress is not None:
progress(percent, message)
if owner:
print(f'{"{:.3f}".format(percent*100)}% {message}')
self.buffer.append(f'{"{:.3f}".format(percent*100)}% {message}')
print(f'{"{:.3f}".format(percent*100)}% {message}')
self.buffer.append(f'{"{:.3f}".format(percent*100)}% {message}')
if line.find('INFO: [epoch:') >= 0:
if owner:
# easily rip out our stats...
match = re.findall(r'\b([a-z_0-9]+?)\b: ([0-9]\.[0-9]+?e[+-]\d+)\b', line)
if match and len(match) > 0:
for k, v in match:
self.info[k] = float(v)
# easily rip out our stats...
match = re.findall(r'\b([a-z_0-9]+?)\b: ([0-9]\.[0-9]+?e[+-]\d+)\b', line)
if match and len(match) > 0:
for k, v in match:
self.info[k] = float(v)
if 'loss_gpt_total' in self.info:
self.status = f"Total loss at epoch {self.epoch}: {self.info['loss_gpt_total']}"
print(self.status)
self.buffer.append(self.status)
if 'loss_gpt_total' in self.info:
self.status = f"Total loss at epoch {self.epoch}: {self.info['loss_gpt_total']}"
print(self.status)
self.buffer.append(self.status)
elif line.find('Saving models and training states') >= 0:
if owner:
self.checkpoint = self.checkpoint + 1
self.checkpoint = self.checkpoint + 1
percent = self.checkpoint / float(self.checkpoints)
message = f'[{self.checkpoint}/{self.checkpoints}] Saving checkpoint...'
if progress is not None:
progress(percent, message)
if owner:
print(f'{"{:.3f}".format(percent*100)}% {message}')
self.buffer.append(f'{"{:.3f}".format(percent*100)}% {message}')
if owner:
self.buffer = self.buffer[-buffer_size:]
print(f'{"{:.3f}".format(percent*100)}% {message}')
self.buffer.append(f'{"{:.3f}".format(percent*100)}% {message}')
self.buffer = self.buffer[-buffer_size:]
if verbose or not self.training_started:
return "".join(self.buffer)
@ -609,7 +627,7 @@ def run_training(config_path, verbose=False, buffer_size=8, progress=gr.Progress
for line in iter(training_state.process.stdout.readline, ""):
res = training_state.parse( line=line, verbose=verbose, buffer_size=buffer_size, progress=progress, owner=True )
res = training_state.parse( line=line, verbose=verbose, buffer_size=buffer_size, progress=progress )
print(f"[Training] [{datetime.now().isoformat()}] {line[:-1]}")
if res:
yield res
@ -628,7 +646,7 @@ def reconnect_training(verbose=False, buffer_size=8, progress=gr.Progress(track_
return "Training not in progress"
for line in iter(training_state.process.stdout.readline, ""):
res = training_state.parse( line=line, verbose=verbose, buffer_size=buffer_size, progress=progress, owner=True )
res = training_state.parse( line=line, verbose=verbose, buffer_size=buffer_size, progress=progress )
if res:
yield res