File size: 1,513 Bytes
226c7c9 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 |
# 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),
)
|