change llama/modeling.py to opt npu performence #8342
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wawltor
reviewed
Apr 29, 2024
| # masked_lm_loss = masked_lm_loss[masked_lm_loss > 0] | ||
| # loss = paddle.mean(masked_lm_loss) | ||
| binary_sequence = paddle.where(masked_lm_loss > 0, paddle.ones_like(masked_lm_loss), paddle.zeros_like(masked_lm_loss)) | ||
| loss = paddle.sum(masked_lm_loss * binary_sequence) / paddle.sum(binary_sequence) |
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paddle.sum(binary_sequence) 中binary_sequence有可能全为0，导致sum后0；这里loss会有异常
之前的业务遇到过这个问题
ZHUI
reviewed
Apr 30, 2024
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PR types
Performance optimization
PR changes
Models
Description
优化NPU下跑llama模型时使用is_casual_mask 对ppt, lora ,sft策略选择问题