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# 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.
"""callbacks config options:
BASIC_CALLBACKS: always recommended to use
"""
from cosmos_predict1.tokenizer.training.callbacks import (
AdaptCkptStateDict,
ExpandLossMask,
GradClipCallback,
TorchCompile,
)
from cosmos_predict1.utils.callback import EMAModelCallback, LowPrecisionCallback, ProgressBarCallback
from cosmos_predict1.utils.lazy_config import PLACEHOLDER
from cosmos_predict1.utils.lazy_config import LazyCall as L
BASIC_CALLBACKS = dict(
low_precision=L(LowPrecisionCallback)(update_iter=1, config=PLACEHOLDER, trainer=PLACEHOLDER),
grad_clip=L(GradClipCallback)(grad_clip_norm=1, verbose=False, config=PLACEHOLDER, trainer=PLACEHOLDER),
ema=L(EMAModelCallback)(config=PLACEHOLDER, trainer=PLACEHOLDER),
progress_bar=L(ProgressBarCallback)(config=PLACEHOLDER, trainer=PLACEHOLDER),
expand_loss_mask=L(ExpandLossMask)(kernel_size=51, config=PLACEHOLDER, trainer=PLACEHOLDER),
adapt_ckpt_state_dict=L(AdaptCkptStateDict)(config=PLACEHOLDER, trainer=PLACEHOLDER),
torch_compile=L(TorchCompile)(
compile_after_iterations=8,
compile_network=False,
compile_loss=False,
compile_loss_keys=["flow", "perceptual"],
),
)
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