mirror of https://github.com/coqui-ai/TTS.git
more console printing formatting
This commit is contained in:
parent
091711459d
commit
67420eeb86
2
train.py
2
train.py
|
@ -586,7 +586,7 @@ def main(args): # pylint: disable=redefined-outer-name
|
||||||
model.decoder.set_r(r)
|
model.decoder.set_r(r)
|
||||||
if c.bidirectional_decoder:
|
if c.bidirectional_decoder:
|
||||||
model.decoder_backward.set_r(r)
|
model.decoder_backward.set_r(r)
|
||||||
print("\n > Number of output frames:", model.decoder.r)
|
print("\n > Number of output frames:", model.decoder.r)
|
||||||
|
|
||||||
train_avg_loss_dict, global_step = train(model, criterion, optimizer,
|
train_avg_loss_dict, global_step = train(model, criterion, optimizer,
|
||||||
optimizer_st, scheduler, ap,
|
optimizer_st, scheduler, ap,
|
||||||
|
|
|
@ -62,10 +62,11 @@ class ConsoleLogger():
|
||||||
print(log_text, flush=True)
|
print(log_text, flush=True)
|
||||||
|
|
||||||
def print_eval_start(self):
|
def print_eval_start(self):
|
||||||
print(f"{tcolors.BOLD} > EVALUATION {tcolors.ENDC}\n")
|
print(f"{tcolors.BOLD} > EVALUATION {tcolors.ENDC}")
|
||||||
|
|
||||||
def print_eval_step(self, step, loss_dict, avg_loss_dict):
|
def print_eval_step(self, step, loss_dict, avg_loss_dict):
|
||||||
indent = " | > "
|
indent = " | > "
|
||||||
|
print()
|
||||||
log_text = f"{tcolors.BOLD} --> STEP: {step}{tcolors.ENDC}\n"
|
log_text = f"{tcolors.BOLD} --> STEP: {step}{tcolors.ENDC}\n"
|
||||||
for key, value in loss_dict.items():
|
for key, value in loss_dict.items():
|
||||||
# print the avg value if given
|
# print the avg value if given
|
||||||
|
@ -77,7 +78,7 @@ class ConsoleLogger():
|
||||||
|
|
||||||
def print_epoch_end(self, epoch, avg_loss_dict):
|
def print_epoch_end(self, epoch, avg_loss_dict):
|
||||||
indent = " | > "
|
indent = " | > "
|
||||||
log_text = " {}--> EVAL PERFORMANCE{}\n".format(
|
log_text = "\n {}--> EVAL PERFORMANCE{}\n".format(
|
||||||
tcolors.BOLD, tcolors.ENDC)
|
tcolors.BOLD, tcolors.ENDC)
|
||||||
for key, value in avg_loss_dict.items():
|
for key, value in avg_loss_dict.items():
|
||||||
# print the avg value if given
|
# print the avg value if given
|
||||||
|
|
Loading…
Reference in New Issue