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Fix ddp_spawn -> ddp fallback logic when on LSF cluster #15657

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Nov 12, 2022
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Original file line number Diff line number Diff line change
Expand Up @@ -614,7 +614,10 @@ def _check_strategy_and_fallback(self) -> None:
strategy_flag = "" if isinstance(self._strategy_flag, Strategy) else self._strategy_flag

if strategy_flag in ("ddp_spawn", "ddp_spawn_find_unused_parameters_false") and (
TorchElasticEnvironment.detect() or KubeflowEnvironment.detect() or SLURMEnvironment.detect()
TorchElasticEnvironment.detect()
or KubeflowEnvironment.detect()
or SLURMEnvironment.detect()
or LSFEnvironment.detect()
):
strategy_flag = "ddp"
if strategy_flag == "dp" and self._accelerator_flag == "cpu":
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Original file line number Diff line number Diff line change
Expand Up @@ -597,6 +597,26 @@ def test_strategy_choice_ddp_cpu_slurm(cuda_count_0, strategy):
assert trainer.strategy.local_rank == 0


@mock.patch.dict(
os.environ,
{
"LSB_JOBID": "1",
"LSB_DJOB_RANKFILE": "SOME_RANK_FILE",
"JSM_NAMESPACE_LOCAL_RANK": "1",
"JSM_NAMESPACE_SIZE": "20",
"JSM_NAMESPACE_RANK": "1",
},
)
@mock.patch("pytorch_lightning.strategies.DDPStrategy.setup_distributed", autospec=True)
@pytest.mark.parametrize("strategy", ["ddp", DDPStrategy()])
def test_dist_backend_accelerator_mapping(cuda_count_0, strategy):
trainer = Trainer(fast_dev_run=True, strategy=strategy, accelerator="cpu", devices=2)
assert isinstance(trainer.acclerator, CPUAccelerator)
assert isinstance(trainer.strategy, DDPStrategy)
assert isinstance(trainer.strategy.cluster_environment, LSFEnvironment)
assert trainer.strategy.local_rank == 0


@RunIf(min_torch="1.12")
def test_check_native_fsdp_strategy_and_fallback():
with pytest.raises(
Expand Down