Remove legacy pytest markers (#9761)

setup.cfg

@@ -24,11 +24,6 @@ addopts =
     --strict
     --doctest-modules
     --color=yes
-markers =
-    slow
-    remote_data
-    filterwarnings
-    gpus_param_tests
 junit_duration_report = call
 
 

tests/conftest.py

@@ -14,13 +14,12 @@
 import os
 import sys
 import threading
-from functools import partial, wraps
+from functools import partial
 from http.server import SimpleHTTPRequestHandler
 from pathlib import Path
 
 import pytest
 import torch.distributed
-import torch.multiprocessing as mp
 
 from pytorch_lightning.plugins.environments.lightning_environment import find_free_network_port
 from tests import _PATH_DATASETS
@@ -88,21 +87,6 @@ def teardown_process_group():
         torch.distributed.destroy_process_group()
 
 
-def pytest_configure(config):
-    config.addinivalue_line("markers", "spawn: spawn test in a separate process using torch.multiprocessing.spawn")
-
-
-@pytest.mark.tryfirst
-def pytest_pyfunc_call(pyfuncitem):
-    if pyfuncitem.get_closest_marker("spawn"):
-        testfunction = pyfuncitem.obj
-        funcargs = pyfuncitem.funcargs
-        testargs = tuple(funcargs[arg] for arg in pyfuncitem._fixtureinfo.argnames)
-
-        mp.spawn(wraps, (testfunction, testargs))
-        return True
-
-
 @pytest.fixture
 def tmpdir_server(tmpdir):
     if sys.version_info >= (3, 7):

tests/models/test_gpu.py

@@ -92,7 +92,6 @@ def mocked_device_count_0(monkeypatch):
     monkeypatch.setattr(torch.cuda, "device_count", device_count)
 
 
-@pytest.mark.gpus_param_tests
 @pytest.mark.parametrize(
     ["gpus", "expected_num_gpus", "distributed_backend"],
     [
@@ -108,7 +107,6 @@ def test_trainer_gpu_parse(mocked_device_count, gpus, expected_num_gpus, distrib
     assert Trainer(gpus=gpus, accelerator=distributed_backend).num_gpus == expected_num_gpus
 
 
-@pytest.mark.gpus_param_tests
 @pytest.mark.parametrize(
     ["gpus", "expected_num_gpus", "distributed_backend"],
     [
@@ -120,7 +118,6 @@ def test_trainer_num_gpu_0(mocked_device_count_0, gpus, expected_num_gpus, distr
     assert Trainer(gpus=gpus, accelerator=distributed_backend).num_gpus == expected_num_gpus
 
 
-@pytest.mark.gpus_param_tests
 @pytest.mark.parametrize(
     ["gpus", "expected_root_gpu", "distributed_backend"],
     [
@@ -136,7 +133,6 @@ def test_root_gpu_property(mocked_device_count, gpus, expected_root_gpu, distrib
     assert Trainer(gpus=gpus, accelerator=distributed_backend).root_gpu == expected_root_gpu
 
 
-@pytest.mark.gpus_param_tests
 @pytest.mark.parametrize(
     ["gpus", "expected_root_gpu", "distributed_backend"],
     [
@@ -150,7 +146,6 @@ def test_root_gpu_property_0_passing(mocked_device_count_0, gpus, expected_root_
 
 
 # Asking for a gpu when non are available will result in a MisconfigurationException
-@pytest.mark.gpus_param_tests
 @pytest.mark.parametrize(
     ["gpus", "expected_root_gpu", "distributed_backend"],
     [
@@ -168,7 +163,6 @@ def test_root_gpu_property_0_raising(mocked_device_count_0, gpus, expected_root_
         Trainer(gpus=gpus, accelerator=distributed_backend)
 
 
-@pytest.mark.gpus_param_tests
 @pytest.mark.parametrize(
     ["gpus", "expected_root_gpu"],
     [
@@ -183,7 +177,6 @@ def test_determine_root_gpu_device(gpus, expected_root_gpu):
     assert device_parser.determine_root_gpu_device(gpus) == expected_root_gpu
 
 
-@pytest.mark.gpus_param_tests
 @pytest.mark.parametrize(
     ["gpus", "expected_gpu_ids"],
     [
@@ -206,7 +199,6 @@ def test_parse_gpu_ids(mocked_device_count, gpus, expected_gpu_ids):
     assert device_parser.parse_gpu_ids(gpus) == expected_gpu_ids
 
 
-@pytest.mark.gpus_param_tests
 @pytest.mark.parametrize(
     ["gpus"],
     [
@@ -225,20 +217,17 @@ def test_parse_gpu_fail_on_unsupported_inputs(mocked_device_count, gpus):
         device_parser.parse_gpu_ids(gpus)
 
 
-@pytest.mark.gpus_param_tests
 @pytest.mark.parametrize("gpus", [[1, 2, 19], -1, "-1"])
 def test_parse_gpu_fail_on_non_existent_id(mocked_device_count_0, gpus):
     with pytest.raises(MisconfigurationException):
         device_parser.parse_gpu_ids(gpus)
 
 
-@pytest.mark.gpus_param_tests
 def test_parse_gpu_fail_on_non_existent_id_2(mocked_device_count):
     with pytest.raises(MisconfigurationException):
         device_parser.parse_gpu_ids([1, 2, 19])
 
 
-@pytest.mark.gpus_param_tests
 @pytest.mark.parametrize("gpus", [-1, "-1"])
 def test_parse_gpu_returns_none_when_no_devices_are_available(mocked_device_count_0, gpus):
     with pytest.raises(MisconfigurationException):