Comments (6)
Hi, did you build colossalai from source?
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yes, using nproc_per_node 1
is ok. but nproc_per_node 2
will meet this error.
from colossalai.
Ok, let me try to reproduce this error. May I know which GPU you are using and how many GPUs are available on your machine?
from colossalai.
Tesla-V100 and 2GPUs are avaliable in my machine.
from colossalai.
Got, let me try to reproduce this issue. I will get back to you soon!
from colossalai.
Hi, sorry for my late reply. We only got A100 machines so it took a while for me to look for a V100 machine. This bug can be reproduced on torch 1.8 but not torch 1.10. This bug is due to an optional argument in pytorch DistributedDataParallel. This bug will be fixed in #194 .
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Related Issues (20)
- [FEATURE]: cuda 12 support HOT 2
- [BUG]: ValueError: mutable default <class 'colossalai.legacy.tensor.distspec._DistSpec'> for field dist_attr is not allowed: use default_factory HOT 1
- [BUG]: AttributeError: type object 'ColoParameter' has no attribute 'from_torch_tensor' when run hybrid_parallel example HOT 3
- [FEATURE]: Support qwen2 model
- [BUG]: OOM when saving 70B model HOT 2
- [DOC]: What is the datasetset used to train the Colossal-Llama-2? HOT 1
- [BUG]: Running ColossalAI in H800 with torch 2.0 HOT 28
- [BUG]: pretraing llama2 using "gemini" plugin, can not resume from saved checkpoints HOT 1
- [BUG] [Shardformer]: Error in blip2 testing with half precision HOT 1
- [FEATURE]: support multiple (partial) backward passes for zero
- [BUG]: re-join str type error_msgs using `\n\t` in general_checkpoint_io
- how to wrapped multiple models with booster HOT 3
- [BUG]: ColossalMoE Train: AssertionError: Parameters are expected to have the same dtype `torch.bfloat16`, but got `torch.float32` HOT 1
- [PROPOSAL]: Fix potential github action smells
- Does colossalai support rocm?
- [BUG]: Slack link is invalid HOT 1
- [BUG]: GROK-1 does not support do_sample
- [BUG]: TypeError: _gen_python_code() got an unexpected keyword argument 'verbose' HOT 2
- [BUG]: llama2 hybrid_parallel or 3d giving None loss when using pp_size > 1 HOT 6
- [DOC]: torch-version HOT 1
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