Move stats_dataset init into else statement -> faster init
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@ -48,18 +48,17 @@ def make_dataset(
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stats["action"]["min"] = torch.tensor([12.0, 25.0], dtype=torch.float32)
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stats["action"]["max"] = torch.tensor([511.0, 511.0], dtype=torch.float32)
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elif stats_path is None:
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# instantiate a one frame dataset with light transform
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stats_dataset = clsfunc(
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dataset_id=cfg.dataset_id,
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transform=Prod(in_keys=clsfunc.image_keys, prod=1 / 255.0),
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)
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# load stats if the file exists already or compute stats and save it
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precomputed_stats_path = Path("data") / cfg.dataset_id / "stats.pth"
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if precomputed_stats_path.exists():
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stats = torch.load(precomputed_stats_path)
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else:
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logging.info(f"compute_stats and save to {precomputed_stats_path}")
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# instantiate a one frame dataset with light transform
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stats_dataset = clsfunc(
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dataset_id=cfg.dataset_id,
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transform=Prod(in_keys=clsfunc.image_keys, prod=1 / 255.0),
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)
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stats = compute_stats(stats_dataset)
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torch.save(stats, stats_path)
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else:
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