Megatron Finetuning hangs with more than 1 A100 GPU

[dkajtoch]

I am trying to run an example that looks similar to this one: https://github.com/NVIDIA/NeMo/blob/48b8204d57e59c8790aaa6eaa20384b046b1a574/examples/nlp/language_modeling/tuning/megatron_gpt_finetuning.py

I am using the Docker container nvcr.io/nvidia/nemo:24.01.framework with torchrun command. My initial model is a converted Mistral 7B to Nemo format. Execution looks like this:

torchrun --standalone --nproc-per-node 2 .../megatron_gpt_finetuning.py model.tensor_model_parallel_size=2 model.pipeline_model_parallel_size=1

When I use L4 GPU everything is ok (but end up with Cuda OOM) also H100 works. On the other hand, when I switch to A100 80GB initialization hangs before checkpoint loading. Below is the screenshot for L4. For A100 it hangs before (I never see a blue message) "Loading distributed checkpoint ...". Any ideas how to fix it?

[akoumpa]

Hi, if you try a newer container (e.g. >= 24.05) there shouldn't be an issue. If there is please re-open this ticket & apologies for the late response.