See if we can enable deepspeed tests

Author: SeanNaren

tests/plugins/test_deepspeed_plugin.py

@@ -181,8 +181,8 @@ def test_deepspeed_defaults(tmpdir):
     assert isinstance(plugin.config["zero_optimization"], dict)
 
 
-@RunIf(min_gpus=1, deepspeed=True, special=True)
-def test_invalid_deepspeed_defaults_no_precision(dist_initialized_mock, tmpdir):
+@RunIf(min_gpus=1, deepspeed=True)
+def test_invalid_deepspeed_defaults_no_precision(tmpdir):
     """Test to ensure that using defaults, if precision is not set to 16, we throw an exception."""
     model = BoringModel()
     trainer = Trainer(
@@ -196,7 +196,7 @@ def test_invalid_deepspeed_defaults_no_precision(dist_initialized_mock, tmpdir):
         trainer.fit(model)
 
 
-@RunIf(min_gpus=1, deepspeed=True, special=True)
+@RunIf(min_gpus=1, deepspeed=True)
 def test_warn_deepspeed_override_backward(tmpdir):
     """Test to ensure that if the backward hook in the LightningModule is overridden, we throw a warning."""
 
@@ -217,7 +217,7 @@ def backward(self, loss: Tensor, optimizer: Optimizer, optimizer_idx: int, *args
         trainer.fit(model)
 
 
-@RunIf(min_gpus=1, deepspeed=True, special=True)
+@RunIf(min_gpus=1, deepspeed=True)
 def test_deepspeed_run_configure_optimizers(tmpdir):
     """Test end to end that deepspeed works with defaults (without ZeRO as that requires compilation),
         whilst using configure_optimizers for optimizers and schedulers."""
@@ -247,7 +247,7 @@ def on_train_start(self) -> None:
     _assert_save_model_is_equal(model, tmpdir, trainer)
 
 
-@RunIf(min_gpus=1, deepspeed=True, special=True)
+@RunIf(min_gpus=1, deepspeed=True)
 def test_deepspeed_config(tmpdir, deepspeed_zero_config):
     """
         Test to ensure deepspeed works correctly when passed a DeepSpeed config object including optimizers/schedulers
@@ -281,7 +281,7 @@ def on_train_start(self) -> None:
     _assert_save_model_is_equal(model, tmpdir, trainer)
 
 
-@RunIf(min_gpus=1, deepspeed=True, special=True)
+@RunIf(min_gpus=1, deepspeed=True)
 def test_deepspeed_custom_precision_params(tmpdir):
     """Ensure if we modify the FP16 parameters via the DeepSpeedPlugin, the deepspeed config contains these changes."""
 
@@ -302,7 +302,7 @@ def on_train_start(self) -> None:
         trainer.fit(model)
 
 
-@RunIf(min_gpus=1, deepspeed=True, special=True)
+@RunIf(min_gpus=1, deepspeed=True)
 def test_deepspeed_assert_config_zero_offload_disabled(tmpdir, deepspeed_zero_config):
     """Ensure if we use a config and turn off cpu_offload, that this is set to False within the config."""
 

tests/special_tests.sh

@@ -17,11 +17,6 @@ export PL_RUNNING_SPECIAL_TESTS=1
 DEFAULTS="-m coverage run --source pytorch_lightning -a -m pytest --verbose --capture=no"
 python ${DEFAULTS} tests/trainer/optimization/test_manual_optimization.py::test_step_with_optimizer_closure_with_different_frequencies_ddp
 python ${DEFAULTS} tests/models/test_sync_batchnorm.py::test_sync_batchnorm_ddp
-python ${DEFAULTS} tests/plugins/test_deepspeed_plugin.py::test_warn_deepspeed_override_backward
-python ${DEFAULTS} tests/plugins/test_deepspeed_plugin.py::test_deepspeed_run_configure_optimizers
-python ${DEFAULTS} tests/plugins/test_deepspeed_plugin.py::test_deepspeed_config
-python ${DEFAULTS} tests/plugins/test_deepspeed_plugin.py::test_deepspeed_custom_precision_params
-python ${DEFAULTS} tests/plugins/test_deepspeed_plugin.py::test_deepspeed_assert_config_zero_offload_disabled
 python ${DEFAULTS} tests/plugins/test_deepspeed_plugin.py::test_deepspeed_multigpu
 python ${DEFAULTS} tests/plugins/test_rpc_plugin.py::test_rpc_function_calls_ddp
 python ${DEFAULTS} tests/plugins/test_rpc_sequential_plugin.py::test_rpc_sequential_plugin_manual