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print batch size
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@@ -378,7 +378,7 @@ def train(cfg: TrainPipelineConfig, accelerator: Accelerator | None = None):
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)
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)
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if is_main_process:
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if is_main_process:
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logging.info("Start offline training on a fixed dataset")
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logging.info(f"Start offline training on a fixed dataset, with effective batch size: {effective_batch_size}")
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for _ in range(step, cfg.steps):
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for _ in range(step, cfg.steps):
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start_time = time.perf_counter()
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start_time = time.perf_counter()
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