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[gemini] fix argument naming during chunk configuration searching
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@@ -739,9 +739,9 @@ class GeminiDDP(ZeroDDP):
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force_outputs_fp32: bool = False,
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strict_ddp_mode: bool = False,
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scatter_after_inference: bool = True,
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search_range_mb: int = 32,
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search_range_m: int = 32,
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hidden_dim: Optional[int] = None,
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min_chunk_size_mb: float = 32,
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min_chunk_size_m: float = 32,
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memstats: Optional[MemStats] = None,
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mixed_precision: torch.dtype = torch.float16,
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verbose: bool = False) -> None:
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@@ -763,24 +763,24 @@ class GeminiDDP(ZeroDDP):
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placement_policy (str, optional): "cpu", "cuda", "auto". Defaults to "cpu".
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pin_memory (bool, optional): use pin memory on CPU. Defaults to False.
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force_outputs_fp32 (bool, optional): force outputs are fp32. Defaults to False.
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search_range_mb (int, optional): chunk size searching range in MegaByte. Defaults to 32.
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search_range_m (int, optional): chunk size searching range divided by 2^20. Defaults to 32.
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hidden_dim (int, optional): the hidden dimension of DNN.
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Users can provide this argument to speed up searching.
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If users do not know this argument before training, it is ok. We will use a default value 1024.
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min_chunk_size_mb (float, optional): the minimum chunk size in MegaByte.
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min_chunk_size_m (float, optional): the minimum chunk size divided by 2^20.
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If the aggregate size of parameters is still smaller than the minimum chunk size,
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all parameters will be compacted into one small chunk.
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memstats (MemStats, optional) the memory statistics collector by a runtime memory tracer.
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"""
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# some ugly hotfix for the compatibility with Lightning
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if search_range_mb is None:
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search_range_mb = 32
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if search_range_m is None:
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search_range_m = 32
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chunk_manager = init_chunk_manager(model=module,
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init_device=device,
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hidden_dim=hidden_dim,
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search_range_mb=search_range_mb,
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min_chunk_size_mb=min_chunk_size_mb,
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search_range_m=search_range_m,
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min_chunk_size_m=min_chunk_size_m,
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strict_ddp_flag=strict_ddp_mode,
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verbose=verbose)
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gemini_manager = GeminiManager(placement_policy, chunk_manager, memstats)
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