Files
pytorch-lightning/pl_examples/basic_examples
Jirka Borovec 76a1c67d87 rename logging -> loggers (#767)
* move logging >> loggers

* add warning

* fix tests

* logging alias

* formatting

* formatting
2020-02-01 15:47:58 -05:00
..
2019-10-22 11:32:40 +03:00
2019-10-22 11:32:40 +03:00

Basic Examples

Use these examples to test how lightning works.

Test on CPU

python cpu_template.py

Train on a single GPU

python gpu_template.py --gpus 1

DataParallel (dp)

Train on multiple GPUs using DataParallel.

python gpu_template.py --gpus 2 --distributed_backend dp

DistributedDataParallel (ddp)

Train on multiple GPUs using DistributedDataParallel

python gpu_template.py --gpus 2 --distributed_backend ddp

DistributedDataParallel+DP (ddp2)

Train on multiple GPUs using DistributedDataParallel + dataparallel. On a single node, uses all GPUs for 1 model. Then shares gradient information across nodes.

python gpu_template.py --gpus 2 --distributed_backend ddp2