mirror of
https://github.com/wassname/pytorch-lightning.git
synced 2026-09-12 12:40:20 +08:00
Replaces ddp .spawn with subprocess (#2029)
* replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * replace ddp spawn with subprocess * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix * hot fix
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@@ -249,6 +249,8 @@ def test_mixing_of_dataloader_options(tmpdir):
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def test_train_inf_dataloader_error(tmpdir):
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pytest.skip('TODO: fix speed of this test')
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"""Test inf train data loader (e.g. IterableDataset)"""
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model = EvalModelTemplate()
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model.train_dataloader = model.train_dataloader__infinite
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@@ -260,6 +262,8 @@ def test_train_inf_dataloader_error(tmpdir):
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def test_val_inf_dataloader_error(tmpdir):
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pytest.skip('TODO: fix speed of this test')
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"""Test inf train data loader (e.g. IterableDataset)"""
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model = EvalModelTemplate()
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model.val_dataloader = model.val_dataloader__infinite
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@@ -271,6 +275,8 @@ def test_val_inf_dataloader_error(tmpdir):
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def test_test_inf_dataloader_error(tmpdir):
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pytest.skip('TODO: fix speed of this test')
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"""Test inf train data loader (e.g. IterableDataset)"""
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model = EvalModelTemplate()
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model.test_dataloader = model.test_dataloader__infinite
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@@ -283,6 +289,8 @@ def test_test_inf_dataloader_error(tmpdir):
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@pytest.mark.parametrize('check_interval', [50, 1.0])
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def test_inf_train_dataloader(tmpdir, check_interval):
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pytest.skip('TODO: fix speed of this test')
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"""Test inf train data loader (e.g. IterableDataset)"""
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model = EvalModelTemplate()
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@@ -300,6 +308,8 @@ def test_inf_train_dataloader(tmpdir, check_interval):
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@pytest.mark.parametrize('check_interval', [1.0])
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def test_inf_val_dataloader(tmpdir, check_interval):
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pytest.skip('TODO: fix speed of this test')
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"""Test inf val data loader (e.g. IterableDataset)"""
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model = EvalModelTemplate()
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@@ -328,7 +338,9 @@ def test_error_on_zero_len_dataloader(tmpdir):
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trainer = Trainer(
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default_root_dir=tmpdir,
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max_epochs=1,
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test_percent_check=0.5
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train_percent_check=0.1,
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val_percent_check=0.1,
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test_percent_check=0.1
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)
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trainer.fit(model)
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@@ -347,9 +359,18 @@ def test_warning_with_few_workers(tmpdir):
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train_percent_check=0.2
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)
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fit_options = dict(train_dataloader=model.dataloader(train=True),
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val_dataloaders=model.dataloader(train=False))
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test_options = dict(test_dataloaders=model.dataloader(train=False))
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train_dl = model.dataloader(train=True)
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train_dl.num_workers = 0
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val_dl = model.dataloader(train=False)
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val_dl.num_workers = 0
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train_dl = model.dataloader(train=False)
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train_dl.num_workers = 0
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fit_options = dict(train_dataloader=train_dl,
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val_dataloaders=val_dl)
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test_options = dict(test_dataloaders=train_dl)
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trainer = Trainer(**trainer_options)
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@@ -436,6 +457,7 @@ def test_batch_size_smaller_than_num_gpus():
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trainer = Trainer(
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max_epochs=1,
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train_percent_check=0.1,
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val_percent_check=0,
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gpus=num_gpus,
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)
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