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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.
from typing import Any, List
import attrs
from cosmos1.models.autoregressive.diffusion_decoder.config.ar_diffusion_decoder_config_registry import register_configs as register_dd_configs
from df_base_model import LatentDiffusionDecoderModelConfig
from df_config_registry import register_configs
from .cosmos1.models.autoregressive.diffusion_decoder.config import config
from config_helper import import_all_modules_from_package
@attrs.define(slots=False)
class Config(config.Config):
# default config groups that will be used unless overwritten
# see config groups in registry.py
defaults: List[Any] = attrs.field(
factory=lambda: [
"_self_",
{"net": None},
{"conditioner": "basic"},
{"tokenizer": "tokenizer"},
{"tokenizer_corruptor": None},
{"latent_corruptor": None},
{"pixel_corruptor": None},
{"experiment": None},
]
)
def make_config():
c = Config(model=LatentDiffusionDecoderModelConfig())
# Specifying values through instances of attrs
c.job.project = "cosmos_video4"
c.job.group = "debug"
c.job.name = "delete_${now:%Y-%m-%d}_${now:%H-%M-%S}"
# Call this function to register config groups for advanced overriding.
register_configs()
register_dd_configs()
# experiment config are defined in the experiment folder
# call import_all_modules_from_package to register them
import_all_modules_from_package("cosmos1.models.diffusion.config.inference", reload=True)
import_all_modules_from_package("cosmos1.models.autoregressive.diffusion_decoder.config.inference", reload=True)
return c
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