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4 changes: 2 additions & 2 deletions paddlenlp/trainer/plugins/unified_checkpoint.py
Original file line number Diff line number Diff line change
Expand Up @@ -1307,7 +1307,7 @@ def check_unified_checkpoint(args, model, resume_from_checkpoint, safe_serializa
else:
local_resume = False
local_resume = paddle.to_tensor([local_resume])
dist.all_reduce(local_resume, op=dist.ReduceOp.PROD)
dist.all_reduce(local_resume, op=dist.ReduceOp.MIN)
local_resume = local_resume.item()
return local_resume

Expand Down Expand Up @@ -1425,7 +1425,7 @@ def check_dynamic_load(args, weight_map, existed_files, is_master_weights=False,
else:
local_resume = False
local_resume = paddle.to_tensor([local_resume])
dist.all_reduce(local_resume, op=dist.ReduceOp.PROD)
dist.all_reduce(local_resume, op=dist.ReduceOp.MIN)
return local_resume.item()

# check whether the optimizer checkpoint files are complete.
Expand Down
6 changes: 6 additions & 0 deletions paddlenlp/trainer/trainer.py
Original file line number Diff line number Diff line change
Expand Up @@ -1793,6 +1793,12 @@ def _load_rng_state(self, checkpoint):
for i in range(core.get_cuda_device_count()):
core.default_cuda_generator(i).set_state(checkpoint_rng_state["cuda"][i])

if core.is_compiled_with_xpu():
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。

@cqulilujia cqulilujia Oct 25, 2024

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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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image


if paddle.device.get_all_custom_device_type() is not None:
custom_device_type = paddle.device.get_all_custom_device_type()
for device in custom_device_type:
Expand Down