Medix-AI/coqui-tts
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coqui-tts
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Merge pull request #459 from thllwg/dev 

Several small fixes in config.json and stats printing
This commit is contained in:
Eren Gölge 2020-07-14 10:11:44 +02:00 committed by GitHub
parent 499ecadb49 b87a7ac356
commit 3e4305f878
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GPG Key ID: 4AEE18F83AFDEB23
3 changed files with 4 additions and 4 deletions
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4
config.json
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@ -29,7 +29,7 @@
"num_mels": 80, // size of the mel spec frame.
"mel_fmin": 0.0, // minimum freq level for mel-spec. ~50 for male and ~95 for female voices. Tune for dataset!!
"mel_fmax": 8000.0, // maximum freq level for mel-spec. Tune for dataset!!
"spec_gain": 20,
"spec_gain": 20.0,
// Normalization parameters
"signal_norm": true, // normalize spec values. Mean-Var normalization if 'stats_path' is defined otherwise range normalization defined by the other params.
@ -106,7 +106,7 @@
// TENSORBOARD and LOGGING
"print_step": 25, // Number of steps to log training on console.
"tb_plot_step:": 100, // Number of steps to plot TB training figures.
"tb_plot_step": 100, // Number of steps to plot TB training figures.
"print_eval": false, // If True, it prints intermediate loss values in evalulation.
"save_step": 10000, // Number of training steps expected to save traninpg stats and checkpoints.
"checkpoint": true, // If true, it saves checkpoints per "save_step"

2
utils/console_logger.py
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@ -56,7 +56,7 @@ class ConsoleLogger():
def print_train_epoch_end(self, global_step, epoch, epoch_time,
print_dict):
indent = " | > "
log_text = f"\n{tcolors.BOLD} --> TRAIN PERFORMACE -- EPOCH TIME: {epoch} sec -- GLOBAL_STEP: {global_step}{tcolors.ENDC}\n"
log_text = f"\n{tcolors.BOLD} --> TRAIN PERFORMACE -- EPOCH TIME: {epoch_time:.2f} sec -- GLOBAL_STEP: {global_step}{tcolors.ENDC}\n"
for key, value in print_dict.items():
log_text += "{}{}: {:.5f}\n".format(indent, key, value)
print(log_text, flush=True)

2
vocoder/utils/console_logger.py
View File

@ -55,7 +55,7 @@ class ConsoleLogger():
def print_train_epoch_end(self, global_step, epoch, epoch_time,
print_dict):
indent = " | > "
log_text = f"\n{tcolors.BOLD} --> TRAIN PERFORMACE -- EPOCH TIME: {epoch} sec -- GLOBAL_STEP: {global_step}{tcolors.ENDC}\n"
log_text = f"\n{tcolors.BOLD} --> TRAIN PERFORMACE -- EPOCH TIME: {epoch_time:.2f} sec -- GLOBAL_STEP: {global_step}{tcolors.ENDC}\n"
for key, value in print_dict.items():
log_text += "{}{}: {:.5f}\n".format(indent, key, value)
print(log_text, flush=True)