Merge branch 'ko3n1g/ci/flaky-marker' into 'main'

tests: Use flaky instead of skip marker

See merge request ADLR/megatron-lm!2208

Author: ko3n1g

.gitlab/stages/01.tests.yml

@@ -119,6 +119,8 @@ unit_tests:
         ARGS=()
         if [[ $TAG != latest ]]; then
           ARGS+=(-m "not internal")
+        else
+          ARGS+=(-m "not flaky")
         fi
         if [[ $IMAGE == ${CI_MCORE_DEV_IMAGE} ]]; then
           ARGS+=(-m "experimental")

tests/unit_tests/data/test_bin_reader.py

@@ -89,7 +89,7 @@ class _LocalClientError(Exception):
 setattr(exceptions, "ClientError", _LocalClientError)
 
 
-@pytest.mark.skip(reason="Tests are flaky and need to be debugged")
+@pytest.mark.flaky
 def test_bin_reader():
     with tempfile.TemporaryDirectory() as temp_dir:
         # set the default nltk data path

tests/unit_tests/data/test_gpt_dataset.py

@@ -26,7 +26,7 @@ def sample_N(dataset, N, randomize):
     return samples
 
 
-@pytest.mark.skip(reason="Tests are flaky and need to be debugged")
+@pytest.mark.flaky
 def test_mock_gpt_dataset():
     if torch.distributed.is_available():
         Utils.initialize_distributed()

tests/unit_tests/data/test_preprocess_data.py

@@ -183,7 +183,7 @@ def gpt2_merge(odir):
     return path
 
 
-@pytest.mark.skip(reason="Tests are flaky and need to be debugged")
+@pytest.mark.flaky
 def test_preprocess_data_gpt():
     with tempfile.TemporaryDirectory() as temp_dir:
 
@@ -214,7 +214,7 @@ def bert_vocab(odir):
     return path
 
 
-@pytest.mark.skip(reason="Tests are flaky and need to be debugged")
+@pytest.mark.flaky
 def test_preprocess_data_bert():
     with tempfile.TemporaryDirectory() as temp_dir:
 

tests/unit_tests/dist_checkpointing/models/test_mamba.py

@@ -74,7 +74,7 @@ class TestMambaReconfiguration:
             # (False, (1, 1, 4), (8, 1, 1), True),
         ],
     )
-    @pytest.mark.skip(reason="Flaky test; needs to be debugged")
+    @pytest.mark.flaky
     def test_parallel_reconfiguration_e2e(
         self, tmp_path_dist_ckpt, src_tp_pp_exp, dest_tp_pp_exp, use_glu, use_fpsl
     ):

tests/unit_tests/dist_checkpointing/test_fp8.py

@@ -51,7 +51,7 @@ def get_ten(dtype: str = 'fp8'):
             (False, (2, 4), (2, 4), None),
         ],
     )
-    @pytest.mark.skip(reason="Flaky test")
+    @pytest.mark.flaky
     def test_fp8_save_load(
         self, tmp_path_dist_ckpt, use_fpsl, src_tp_pp, dest_tp_pp, load_exchange_algo
     ):

tests/unit_tests/dist_checkpointing/test_fully_parallel.py

@@ -280,8 +280,8 @@ def test_load_distribution(self, parallelization_along_dp, tmp_path_dist_ckpt):
 
         assert loaded_state_dict.keys() == state_dict.keys()
 
-    @pytest.mark.skip(reason="Tests are flaky and need to be debugged")
     @pytest.mark.parametrize('state_dict_device', ['cpu', 'cuda'])
+    @pytest.mark.flaky
     def test_memory_usage(self, state_dict_device, tmp_path_dist_ckpt):
         Utils.initialize_model_parallel(2, 1)
 

tests/unit_tests/dist_checkpointing/test_nonpersistent.py

@@ -29,7 +29,7 @@ def teardown_method(self, method):
         Utils.destroy_model_parallel()
 
     @pytest.mark.parametrize(('tp,pp'), [(2, 4)])
-    @pytest.mark.skip(reason="Flaky test")
+    @pytest.mark.flaky
     def test_basic_save_load_scenarios(self, tmp_path_dist_ckpt, tp, pp):
         Utils.initialize_model_parallel(tp, pp)
         num_floating_point_operations_so_far = 0
@@ -118,7 +118,7 @@ def test_basic_save_load_scenarios(self, tmp_path_dist_ckpt, tp, pp):
 
 class TestLegacySaveAndLoad:
     @pytest.mark.parametrize(('tp,pp'), [(2, 4)])
-    @pytest.mark.skip(reason="Flaky test")
+    @pytest.mark.flaky
     def test_basic_save_load_scenario(self, tmp_path_dist_ckpt, tp, pp):
         Utils.initialize_model_parallel(tp, pp)
         num_floating_point_operations_so_far = 0

tests/unit_tests/dist_checkpointing/test_optimizer.py

@@ -178,7 +178,7 @@ def teardown_method(self, method):
             # ((2, 1), 2, 2),
         ],
     )
-    @pytest.mark.skip(reason="Tests are flaky and need to be debugged")
+    @pytest.mark.flaky
     def test_dp_sharding(self, tmp_path_dist_ckpt, tp_pp, src_dp, dest_dp, use_fpsl, initialize_fn):
         src_world_size = tp_pp[0] * tp_pp[1] * src_dp
         dest_world_size = tp_pp[0] * tp_pp[1] * dest_dp
@@ -256,7 +256,7 @@ def test_dp_sharding(self, tmp_path_dist_ckpt, tp_pp, src_dp, dest_dp, use_fpsl,
         ('src_tp_pp', 'dest_tp_pp', 'use_glu'),
         [((2, 2), (2, 4), False), ((1, 8), (4, 1), True), ((2, 4), (4, 2), False)],
     )
-    @pytest.mark.skip(reason="Tests are flaky and need to be debugged")
+    @pytest.mark.flaky
     def test_finetune_doesnt_load_optimizer(
         self, tmp_path_dist_ckpt, src_tp_pp, dest_tp_pp, use_glu
     ):
@@ -329,7 +329,7 @@ def test_finetune_doesnt_load_optimizer(
                 assert not diffs[0] and not diffs[1] and diffs[2]
                 assert not any(diff(optimizer.state_dict(), optim_unloaded_state_dict))
 
-    @pytest.mark.skip(reason="Tests are flaky and need to be debugged")
+    @pytest.mark.flaky
     def test_can_load_deprecated_bucket_space_format(self, tmp_path_dist_ckpt):
         # sync=True to make sure other ranks wait for rank 0 to finish creating directory.
         tp = 4
@@ -398,7 +398,7 @@ def teardown_method(self, method):
     @pytest.mark.parametrize(
         ('src_tp_pp', 'dest_tp_pp'), [((2, 4), (2, 4)), ((2, 4), (4, 2)), ((8, 1), (1, 2))]
     )
-    @pytest.mark.skip(reason="Tests are flaky and need to be debugged")
+    @pytest.mark.flaky
     def test_fp32_optimizer_resharding(self, tmp_path_dist_ckpt, src_tp_pp, dest_tp_pp):
         # sync=True to make sure other ranks wait for rank 0 to finish creating directory.
         Utils.initialize_model_parallel(*src_tp_pp)
@@ -465,7 +465,7 @@ def teardown_method(self, method):
         ('src_tp_pp', 'dest_tp_pp'),
         [((2, 4), (2, 4)), ((2, 4), (2, 2)), ((2, 4), (4, 2)), ((8, 1), (1, 2))],
     )
-    @pytest.mark.skip(reason="Tests are flaky and need to be debugged")
+    @pytest.mark.flaky
     def test_optimizer_resharding(
         self, tmp_path_dist_ckpt, src_tp_pp, dest_tp_pp, use_dist_opt, bf16
     ):

tests/unit_tests/distributed/test_param_and_grad_buffer.py

@@ -58,7 +58,7 @@ def get_model_and_buffers(
 @pytest.mark.parametrize("use_distributed_optimizer", [False, True])
 @pytest.mark.parametrize("bias", [False, True])
 @pytest.mark.parametrize("shared_embedding", [False, True])
-@pytest.mark.skip(reason="Flaky test")
+@pytest.mark.flaky
 def test_bucket_sizes(
     bucket_size: Optional[int], use_distributed_optimizer: bool, bias: bool, shared_embedding: bool
 ):