Kaiqin Kongandmergify[bot]
773d44b875
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
56 lines
1.6 KiB
Python
56 lines
1.6 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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) -> Any:
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"""Build a parquet dataloader for T2V-style 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=data_config.training_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 |