mirror of https://github.com/InternLM/InternLM
refactor code for split group
parent
b7229fd9fb
commit
72bb3125a3
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@ -12,7 +12,6 @@ def split_params_into_different_groups_for_optimizer(param_groups: Tuple[Dict])
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Input Example:
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Input Example:
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>>> (
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>>> (
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>>> {'name': 'default', 'params': [tensor], 'weight_decay' :xxx},
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>>> {'name': 'default', 'params': [tensor], 'weight_decay' :xxx},
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>>> ...,
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>>> )
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>>> )
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Returns:
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Returns:
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@ -34,10 +33,10 @@ def split_params_into_different_groups_for_optimizer(param_groups: Tuple[Dict])
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elif not isinstance(param_groups, list):
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elif not isinstance(param_groups, list):
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raise ValueError(f"Unknown param group type of {type(param_groups)}")
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raise ValueError(f"Unknown param group type of {type(param_groups)}")
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new_groups = []
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fp32_group = {"name": "fp32", "params": []}
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for pgroup in param_groups:
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for pgroup in param_groups:
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fp32_group = {"name": pgroup["name"] + "_fp32", "params": []}
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# copy attribute from origin group, we assume the input param_groups only
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# copy attribute from origin group
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# have one group, so the attribute will not be copyed multiple times.
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for ori_key in pgroup.keys():
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for ori_key in pgroup.keys():
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if ori_key not in ("name", "params"):
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if ori_key not in ("name", "params"):
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fp32_group[ori_key] = pgroup[ori_key]
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fp32_group[ori_key] = pgroup[ori_key]
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@ -48,12 +47,10 @@ def split_params_into_different_groups_for_optimizer(param_groups: Tuple[Dict])
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fp32_group["params"].append(param)
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fp32_group["params"].append(param)
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else:
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else:
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origin_params.append(param)
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origin_params.append(param)
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# origin group without fp32
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# bf16 param group, the first group in the param_groups
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pgroup["params"] = origin_params
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pgroup["params"] = origin_params
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new_groups.append(fp32_group)
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for g in new_groups:
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param_groups.append(fp32_group)
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param_groups.append(g)
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return tuple(param_groups)
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return tuple(param_groups)
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