mirror of https://github.com/coqui-ai/TTS.git
71 lines
3.1 KiB
Python
71 lines
3.1 KiB
Python
import traceback
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from tensorboardX import SummaryWriter
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class TensorboardLogger(object):
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def __init__(self, log_dir, model_name):
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self.model_name = model_name
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self.writer = SummaryWriter(log_dir)
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self.train_stats = {}
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self.eval_stats = {}
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def tb_model_weights(self, model, step):
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layer_num = 1
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for name, param in model.named_parameters():
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if param.numel() == 1:
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self.writer.add_scalar("layer{}-{}/value".format(layer_num, name), param.max(), step)
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else:
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self.writer.add_scalar("layer{}-{}/max".format(layer_num, name), param.max(), step)
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self.writer.add_scalar("layer{}-{}/min".format(layer_num, name), param.min(), step)
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self.writer.add_scalar("layer{}-{}/mean".format(layer_num, name), param.mean(), step)
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self.writer.add_scalar("layer{}-{}/std".format(layer_num, name), param.std(), step)
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self.writer.add_histogram("layer{}-{}/param".format(layer_num, name), param, step)
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self.writer.add_histogram("layer{}-{}/grad".format(layer_num, name), param.grad, step)
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layer_num += 1
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def dict_to_tb_scalar(self, scope_name, stats, step):
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for key, value in stats.items():
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self.writer.add_scalar("{}/{}".format(scope_name, key), value, step)
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def dict_to_tb_figure(self, scope_name, figures, step):
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for key, value in figures.items():
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self.writer.add_figure("{}/{}".format(scope_name, key), value, step)
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def dict_to_tb_audios(self, scope_name, audios, step, sample_rate):
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for key, value in audios.items():
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try:
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self.writer.add_audio("{}/{}".format(scope_name, key), value, step, sample_rate=sample_rate)
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except RuntimeError:
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traceback.print_exc()
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def tb_train_step_stats(self, step, stats):
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self.dict_to_tb_scalar(f"{self.model_name}_TrainIterStats", stats, step)
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def tb_train_epoch_stats(self, step, stats):
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self.dict_to_tb_scalar(f"{self.model_name}_TrainEpochStats", stats, step)
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def tb_train_figures(self, step, figures):
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self.dict_to_tb_figure(f"{self.model_name}_TrainFigures", figures, step)
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def tb_train_audios(self, step, audios, sample_rate):
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self.dict_to_tb_audios(f"{self.model_name}_TrainAudios", audios, step, sample_rate)
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def tb_eval_stats(self, step, stats):
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self.dict_to_tb_scalar(f"{self.model_name}_EvalStats", stats, step)
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def tb_eval_figures(self, step, figures):
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self.dict_to_tb_figure(f"{self.model_name}_EvalFigures", figures, step)
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def tb_eval_audios(self, step, audios, sample_rate):
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self.dict_to_tb_audios(f"{self.model_name}_EvalAudios", audios, step, sample_rate)
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def tb_test_audios(self, step, audios, sample_rate):
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self.dict_to_tb_audios(f"{self.model_name}_TestAudios", audios, step, sample_rate)
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def tb_test_figures(self, step, figures):
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self.dict_to_tb_figure(f"{self.model_name}_TestFigures", figures, step)
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def tb_add_text(self, title, text, step):
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self.writer.add_text(title, text, step)
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