diff --git a/azure-pipelines.yml b/azure-pipelines.yml
index 17029d2817..0bb4f5cfff 100644
--- a/azure-pipelines.yml
+++ b/azure-pipelines.yml
@@ -82,7 +82,7 @@ jobs:
     - bash: |
         python -m coverage report
         python -m coverage xml
-        codecov --token $(CODECOV_TOKEN) --flags=gpu,pytest --name="GPU-coverage" --env=linux,azure
+        codecov --token=$(CODECOV_TOKEN) --flags=gpu,pytest --name="GPU-coverage" --env=linux,azure
       displayName: 'Statistics'
 
     - script: |
diff --git a/tests/accelerators/legacy/test_ddp.py b/tests/accelerators/legacy/test_ddp.py
index 0e7d6948c1..48cef6d595 100644
--- a/tests/accelerators/legacy/test_ddp.py
+++ b/tests/accelerators/legacy/test_ddp.py
@@ -72,30 +72,6 @@ def test_multi_gpu_model_ddp_fit_test(tmpdir, cli_args):
         assert out['test_acc'] > 0.90
 
 
-# START: test_cli ddp test
-@pytest.mark.skipif(os.getenv("PL_IN_LAUNCHER", '0') == '1', reason="test runs only in DDPLauncher")
-def internal_test_cli(tmpdir, args=None):
-    """
-    This test verify we can call function using test_cli name
-    """
-
-    return 1
-
-
-@pytest.mark.skipif(torch.cuda.device_count() < 2, reason="test requires multi-GPU machine")
-def test_cli(tmpdir):
-    DDPLauncher.run_from_cmd_line("--max_epochs 1 --gpus 2 --accelerator ddp", internal_test_cli, tmpdir)
-    # load the results of the script
-    result_path = os.path.join(tmpdir, 'ddp.result')
-    result = torch.load(result_path)
-    # verify the file wrote the expected outputs
-    assert result['status'] == 'complete'
-    assert str(result['result']) == '1'
-
-
-# END: test_cli ddp test
-
-
 @pytest.mark.skipif(torch.cuda.device_count() < 2, reason="test requires multi-GPU machine")
 @DDPLauncher.run(
     "--max_epochs [max_epochs] --gpus 2 --accelerator [accelerator]",