-
Hi,
I am using the sample code for [timm model training](https://github.com/Chris-hughes10/pytorch-accelerated/blob/main/examples/vision/using_timm_components/all_timm_components.py). There is a mism…
-
How to leverage the existing tutorial test suite for tutorials for distributed training is not straightforward. Distributed training usually involves launcher scripts and multiple processes, as mentio…
-
**mxnet** uses **ps-lite** as its parameter server in distributed environment. Currently **ps-lite** only supports integer keys. There are people asking support for string key, but got no response yet…
-
* informational documents or papers:
1.Decentralized training of foundation models in heterogeneous environments, https://dl.acm.org/doi/10.5555/3600270.3602116
2.
* Requirements:
1. Power lim…
-
if I want to replace a multimodal dataset other than a thesis, I would like to know where is your read dataset processing class?
-
Thanks for sharing the codebase. I found that you modified the DistModule part in train.py compared with the original pysot repo, and did not use torch.distributed.launch for multi-gpu training. Do yo…
-
python -m torch.distributed.launch --nproc_per_node=8 --nnodes=8 --node_rank=0 \
main_ldm.py \
--config config/ldm/cin-ldm-vq-f8-repcond.yaml \
--batch_size 4 \
--epochs 40 \
--blr 2.5e-7 --weigh…
-
-
I was wondering what exactly is the appropriate way to launch multi-worker distributed training jobs with xmanager. Based on my current understanding, it seems that a `Job` must be created for each wo…
-
Thanks for the great paper, dataset and code!
I tried to train the model with ready data using single GPU, it took roughly half day. So I tried to add some distributed training component, the train…