# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: Apache-2.0 # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from cosmos_transfer1.diffusion.training.callbacks.grad_clip import GradClip from cosmos_transfer1.diffusion.training.callbacks.iter_speed import IterSpeed from cosmos_transfer1.diffusion.training.callbacks.low_precision import LowPrecisionCallback from cosmos_transfer1.utils.callback import ProgressBarCallback from cosmos_transfer1.utils.lazy_config import PLACEHOLDER from cosmos_transfer1.utils.lazy_config import LazyCall as L BASIC_CALLBACKS = dict( progress_bar=L(ProgressBarCallback)(), grad_clip=L(GradClip)(fsdp_enabled=True, model_key="model"), low_prec=L(LowPrecisionCallback)(config=PLACEHOLDER, trainer=PLACEHOLDER, update_iter=1), # for the first 1000 iterations, log the iteration speed per iteration, after that, log every 200 iterations iter_speed=L(IterSpeed)(every_n=200, hit_thres=1000), )