def cp_best_weights_to_reports_path(checkpoint_path, report_path, timestamp):
best_weights_file = get_best_weights_file_from(checkpoint_path)
loss = get_loss_model_weights_path(best_weights_file)
result_path = create_file_path(report_path,
f'{timestamp}-weights-loss_{loss}', 'h5')
copyfile(best_weights_file, result_path)
return result_path
def __init__(self, config):
self.__config = config
self.__file_path = create_file_path(config['path'], config["name"],
'log')
self.__level = self.__to_logging_level(config['level'])
self.__fmt = config['message_format']
self.__date_fmt = config['date_format']
def __init__(self,
metric_path,
metric_name,
display_name='',
description=''):
self.__metric_name = metric_name
self.__writer = tf.summary.FileWriter(
create_file_path(metric_path, metric_name))
self.__metadata = SummaryBuilder.metadata(display_name, description)
def write_report(report_path, report, timestamp, ext):
report_file_path = create_file_path(report_path, f'{timestamp}_report',
ext)
file = open(report_file_path, 'w')
file.write(report)
file.close()
def get_path(self, ctx):
return create_file_path(self.__metric_path,
f'weights-time_{ctx.time}-loss_0', 'h5')