Remove tests

Discussed with SeanNaren

benchmarks/test_sharded_parity.py

@@ -122,7 +122,6 @@ def plugin_parity_test(
     model_cls: Type[SeedTrainLoaderModel],
     seed: int = 42,
     gpus: int = 0,
-    accelerator: str = 'ddp_spawn',
     precision: int = 32,
     max_percent_speed_diff: float = 0.1,
 ):
@@ -134,7 +133,6 @@ def plugin_parity_test(
         model_cls: Model class to use for test.
         seed: Seed for generators. Note that this does not handle the seed for data-loading on multi-process.
         gpus: Number of GPUS to enable.
-        accelerator: Accelerator to use.
         precision: Whether to use AMP or normal FP32 training.
         max_percent_speed_diff: The maximum speed difference compared to normal DDP training.
         This is more a safety net for variability in CI which can vary in speed, not for benchmarking.
@@ -151,7 +149,7 @@ def plugin_parity_test(
         max_epochs=1,
         gpus=gpus,
         precision=precision,
-        accelerator=accelerator,
+        accelerator='ddp_spawn',
     )
 
     max_memory_ddp, ddp_time = record_ddp_fit_model_stats(trainer=trainer, model=ddp_model, use_cuda=use_cuda)
@@ -225,22 +223,3 @@ def test_ddp_spawn_sharded_plugin(kwargs):
         # TODO: decrease speed diff since only 2 GPUs sharding 2 optimizers
         kwargs['max_percent_speed_diff'] = 0.25
     plugin_parity_test(**kwargs)
-
-
-@RunIf(min_gpus=2, fairscale=True, special=True)
-def test_ddp_sharded_plugin(tmpdir):
-    plugin_parity_test(
-        gpus=2,
-        accelerator='ddp',
-        model_cls=SeedTrainLoaderModel,
-    )
-
-
-@RunIf(min_gpus=2, fairscale=True, special=True, amp_native=True)
-def test_ddp_sharded_plugin_amp(tmpdir):
-    plugin_parity_test(
-        gpus=2,
-        accelerator='ddp',
-        precision=16,
-        model_cls=SeedTrainLoaderModel,
-    )