William LinandClaude Opus 5.5
d1416b5930
Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
64 lines
1.9 KiB
Python
64 lines
1.9 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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from __future__ import annotations
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from typing import Any, TYPE_CHECKING
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if TYPE_CHECKING:
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from fastvideo.train.utils.training_config import (
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DataConfig, )
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def build_parquet_t2v_train_dataloader(
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data_config: DataConfig,
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*,
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text_len: int,
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parquet_schema: Any,
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cfg_rate: float | None = None,
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) -> Any:
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"""Build a parquet dataloader for T2V-style datasets.
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``cfg_rate`` overrides ``data_config.training_cfg_rate`` for models
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that perform CFG dropout themselves (e.g. LTX2Model swaps in the
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unconditional embedding in ``prepare_batch``); pass 0.0 to keep the
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collate's zeroing drop off so the two drops do not stack.
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"""
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from fastvideo.dataset import (
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build_parquet_map_style_dataloader, )
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_dataset, dataloader = (build_parquet_map_style_dataloader(
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data_config.data_path,
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data_config.train_batch_size,
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num_data_workers=(data_config.dataloader_num_workers),
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parquet_schema=parquet_schema,
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cfg_rate=(float(data_config.training_cfg_rate or 0.0) if cfg_rate is None else float(cfg_rate)),
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drop_last=True,
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text_padding_length=int(text_len),
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seed=int(data_config.seed or 0),
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))
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return dataloader
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def build_parquet_matrixgame2_train_dataloader(
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data_config: DataConfig,
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*,
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parquet_schema: Any,
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) -> Any:
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"""Build a parquet dataloader for Matrix-Game 2.0 datasets."""
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from fastvideo.dataset import (
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build_parquet_map_style_dataloader, )
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_dataset, dataloader = (build_parquet_map_style_dataloader(
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data_config.data_path,
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data_config.train_batch_size,
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num_data_workers=(data_config.dataloader_num_workers),
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parquet_schema=parquet_schema,
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cfg_rate=float(data_config.training_cfg_rate or 0.0),
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drop_last=True,
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text_padding_length=512,
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seed=int(data_config.seed or 0),
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))
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return dataloader
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