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import os
class TrainPlatform:
def __init__(self, save_dir):
pass
def report_scalar(self, name, value, iteration, group_name=None):
pass
def report_args(self, args, name):
pass
def close(self):
pass
class ClearmlPlatform(TrainPlatform):
def __init__(self, save_dir):
from clearml import Task
path, name = os.path.split(save_dir)
self.task = Task.init(project_name='motion_diffusion',
task_name=name,
output_uri=path)
self.logger = self.task.get_logger()
def report_scalar(self, name, value, iteration, group_name):
self.logger.report_scalar(title=group_name, series=name, iteration=iteration, value=value)
def report_args(self, args, name):
self.task.connect(args, name=name)
def close(self):
self.task.close()
class TensorboardPlatform(TrainPlatform):
def __init__(self, save_dir):
from torch.utils.tensorboard import SummaryWriter
self.writer = SummaryWriter(log_dir=save_dir)
def report_scalar(self, name, value, iteration, group_name=None):
self.writer.add_scalar(f'{group_name}/{name}', value, iteration)
def close(self):
self.writer.close()
class NoPlatform(TrainPlatform):
def __init__(self, save_dir):
pass
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