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Add global param to refined_recompute #2899

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Add global param to refined_recompute #2899

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f032c31
Add `global` param to `refined_recompute`
DongBaiYue Nov 7, 2025
2bd1c26
fix lint
DongBaiYue Nov 10, 2025
5fb5598
Merge remote-tracking branch 'origin/develop' into develop
DongBaiYue Nov 12, 2025
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4 changes: 3 additions & 1 deletion paddleformers/trainer/training_args.py
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Expand Up @@ -305,7 +305,8 @@ class TrainingArguments:
refined_recompute (`str`, *optional*, defaults to `""`):
The refined recompute parameter is designed to optimize the balance between GPU memory usage and computational speed.
An example configuration could be: `attention_column_ln:-1,attention_row_ln:-1,flash_attn:-1,mlp_column_ln:5,mlp_row_ln:-1`.
The supported parameters for refining recompute are `attention_column_ln`, `attention_row_ln`, `flash_attn`, `mlp_column_ln`, and `mlp_row_ln`.
The supported parameters for refining recompute are `attention_column_ln`, `attention_row_ln`, `flash_attn`, `mlp_column_ln`, `mlp_row_ln`, and `global`.
-`global`: global configuration that applies to ALL operators.
The associated number, `skip_num`, determines how many times to bypass recomputation for the specified operation.
A `skip_num` of `-1` indicates no recomputation across all stages, maximizing memory usage;
A `skip_num` of `0` enforces recomputation at every stage, minimizing memory usage.
Expand Down Expand Up @@ -2029,6 +2030,7 @@ def is_context_parallel_supported():
"attention_column_ln": 0,
"mlp_column_ln": 0,
"flash_attn": 0,
"global": 0,
}
ops = self.refined_recompute.split(",")
enable_rr = False
Expand Down