[XPU] support unified ckpt function #9312
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Additional details and impacted files@@ Coverage Diff @@ ## develop #9312 +/- ## =========================================== + Coverage 52.80% 52.92% +0.11% =========================================== Files 660 660 Lines 106869 106875 +6 =========================================== + Hits 56434 56564 +130 + Misses 50435 50311 -124 ☔ View full report in Codecov by Sentry. |
DesmonDay reviewed Oct 24, 2024
| if paddle.is_compiled_with_xpu(): | ||
| # XPU does not support all_reduce prod now, in XPU, bool is treated as int8, | ||
| # so temporarily use reduce_min instead | ||
| dist.all_reduce(local_resume, op=dist.ReduceOp.MIN) |
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那就统一改成dist.all_reduce(local_resume, op=dist.ReduceOp.MIN)吧，不需要特地区分XPU和GPU
DesmonDay reviewed Oct 24, 2024
| if paddle.is_compiled_with_xpu(): | ||
| # XPU does not support all_reduce prod now, in XPU, bool is treated as int8, | ||
| # so temporarily use reduce_min instead | ||
| dist.all_reduce(local_resume, op=dist.ReduceOp.MIN) |
cqulilujia changed the title 
ZHUI reviewed Oct 25, 2024
| if not len(checkpoint_rng_state["cuda"]) == core.get_xpu_device_count(): | ||
| raise ValueError("Length of xpu state list shoule be equal to the xpu device count") | ||
| for i in range(core.get_xpu_device_count()): | ||
| core.default_xpu_generator(i).set_state(checkpoint_rng_state["cuda"][i]) |
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这里 xpu 很下面 custom device 处理会有不同吗？更适合框架测修改吧。
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在框架侧的device上XPU和GPU、CPU是同一级别的，custom device（如海光、昇腾等）是放在一起的
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Function optimization
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Description
Support unified ckpt function on XPU