df_base_model.py

# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#
# 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,
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from typing import List

import attrs

from .lazy_config_init import LazyDict


@attrs.define(slots=False)
class DefaultModelConfig:
    tokenizer: LazyDict = None
    conditioner: LazyDict = None
    net: LazyDict = None
    sigma_data: float = 0.5
    precision: str = "bfloat16"
    input_data_key: str = "video"  # key to fetch input data from data_batch
    latent_shape: List[int] = [16, 24, 44, 80]  # 24 corresponig to 136 frames


@attrs.define(slots=False)
class LatentDiffusionDecoderModelConfig(DefaultModelConfig):
    tokenizer_corruptor: LazyDict = None
    latent_corruptor: LazyDict = None
    pixel_corruptor: LazyDict = None
    diffusion_decoder_cond_sigma_low: float = None
    diffusion_decoder_cond_sigma_high: float = None
    diffusion_decoder_corrupt_prob: float = None
    condition_on_tokenizer_corruptor_token: bool = False