import traceback from tensorboardX import SummaryWriter from trainer.logging.base_dash_logger import BaseDashboardLogger class TensorboardLogger(BaseDashboardLogger): def __init__(self, log_dir, model_name): self.model_name = model_name self.writer = SummaryWriter(log_dir) def model_weights(self, model, step): layer_num = 1 for name, param in model.named_parameters(): if param.numel() == 1: self.writer.add_scalar("layer{}-{}/value".format(layer_num, name), param.max(), step) else: self.writer.add_scalar("layer{}-{}/max".format(layer_num, name), param.max(), step) self.writer.add_scalar("layer{}-{}/min".format(layer_num, name), param.min(), step) self.writer.add_scalar("layer{}-{}/mean".format(layer_num, name), param.mean(), step) self.writer.add_scalar("layer{}-{}/std".format(layer_num, name), param.std(), step) self.writer.add_histogram("layer{}-{}/param".format(layer_num, name), param, step) self.writer.add_histogram("layer{}-{}/grad".format(layer_num, name), param.grad, step) layer_num += 1 def add_config(self, config): self.add_text("model-config", f"
{config.to_json()}
", 0) def add_scalar(self, title: str, value: float, step: int) -> None: self.writer.add_scalar(title, value, step) def add_audio(self, title, audio, step, sample_rate): self.writer.add_audio(title, audio, step, sample_rate=sample_rate) def add_text(self, title, text, step): self.writer.add_text(title, text, step) def add_figure(self, title, figure, step): self.writer.add_figure(title, figure, step) def add_artifact(self, file_or_dir, name, artifact_type, aliases=None): # pylint: disable=W0613, R0201 yield def add_scalars(self, scope_name, scalars, step): for key, value in scalars.items(): self.add_scalar("{}/{}".format(scope_name, key), value, step) def add_figures(self, scope_name, figures, step): for key, value in figures.items(): self.writer.add_figure("{}/{}".format(scope_name, key), value, step) def add_audios(self, scope_name, audios, step, sample_rate): for key, value in audios.items(): if value.dtype == "float16": value = value.astype("float32") try: self.add_audio( "{}/{}".format(scope_name, key), value, step, sample_rate=sample_rate, ) except RuntimeError: traceback.print_exc() def flush(self, step=None): self.writer.flush() def finish(self): self.writer.close()