DDPSpawnShardedStrategy

class pytorch_lightning.strategies.DDPSpawnShardedStrategy(accelerator=None, parallel_devices=None, cluster_environment=None, checkpoint_io=None, precision_plugin=None, ddp_comm_state=None, ddp_comm_hook=None, ddp_comm_wrapper=None, process_group_backend=None, timeout=datetime.timedelta(seconds=1800), start_method='spawn', **kwargs)

Bases: pytorch_lightning.strategies.ddp_spawn.DDPSpawnStrategy

Optimizer sharded training provided by FairScale.

block_backward_sync()

Blocks syncing gradients behaviour on backwards pass.

This is useful for skipping sync when accumulating gradients, reducing communication overhead Returns: context manager with sync behaviour off

Return type:

Generator

connect(model)

Called by the accelerator to connect the accelerator and the model with this plugin.

Return type:

None

pre_backward(closure_loss)

Run before precision plugin executes backward.

Return type:

None