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[tutorial] added synthetic data for hybrid parallel (#1919)

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Frank Lee
2022-11-12 17:49:48 +08:00
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examples/tutorial/large_batch_optimizer/README.md
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## Prepare Dataset
We use CIFAR10 dataset in this example. The dataset will be downloaded to `../data` by default.
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.
```bash
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
```bash
# 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
```