ColossalAI/examples/tutorial/large_batch_optimizer

Comparison of Large Batch Training Optimization

🚀Quick Start

Run with synthetic data

colossalai run --nproc_per_node 4 train.py --config config.py -s

Prepare Dataset

We use CIFAR10 dataset in this example. You should invoke the donwload_cifar10.py in the tutorial root directory or directly run the auto_parallel_with_resnet.py. The dataset will be downloaded to colossalai/examples/tutorials/data by default. If you wish to use customized directory for the dataset. You can set the environment variable DATA via the following command.

export DATA=/path/to/data

You can also use synthetic data for this tutorial if you don't wish to download the CIFAR10 dataset by adding the -s or --synthetic flag to the command.

Run on 2*2 device mesh

# run with cifar10
colossalai run --nproc_per_node 4 train.py --config config.py

# run with synthetic dataset
colossalai run --nproc_per_node 4 train.py --config config.py -s