audio2photoreal / train /train_platforms.py
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"""
Copyright (c) Meta Platforms, Inc. and affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
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