-
We have a guide on doing distributed training
w/ Vast here: https://docs.google.com/document/d/1W_dN3qarCOcLRDdEZ75LBtkLGiwUziWWDtVTjd43Ad4/edit?usp=sharing . However, we have not performed full dis…
-
When attempting to run the training script for LLaMA with the following command:
`CONFIG_FILE="./train_configs/llama3_8b.toml" ./run_llama_train.sh`
an ImportError is encountered. The specific error…
-
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…
-
Sorry to bother you again, I was training on a single GeForce RTX 3090, but I had a problem with the first stage of training:
1. When the train epoch is equal to 73, the program reported an error of …
-
Hi,
I am going to do distributed training of llama on aws sagemaker as managed training across multiple devices/nodes. Sagemaker provides data parallel and model parallel distributed training in sage…
-
I noticed that coordinator.block_all(), torch.set_num_threads(1) and dist.barrier() were added to the training script. Were they added for debugging purpose only or are they useful for training?
-
# 🚀 Feature
Provide a set of building blocks and APIs for PyTorch users to shard models easily for distributed training.
# Motivation
There is a need to provide a standardized sharding mechan…
-
In the pcluster config (https://github.com/aws-samples/awsome-distributed-training/blob/main/1.architectures/2.aws-parallelcluster/distributed-training-p4de-base.yaml#L42-L43), there is a comment sayi…
-
your build_dataloader:
if phase == 'train':
if dist: # distributed training
batch_size = dataset_opt['batch_size_per_gpu']
num_workers = dataset_opt['num_worke…
-
**Your question**
Is it possible to load an optimizer that was previously saved using a distributed optimizer configuration, and then continue the training without employing a distributed optimizer?