diff --git a/tests/models/bert_generation/test_modeling_bert_generation.py b/tests/models/bert_generation/test_modeling_bert_generation.py index 4e0e3dc8e1c..ecd7a459e0e 100644 --- a/tests/models/bert_generation/test_modeling_bert_generation.py +++ b/tests/models/bert_generation/test_modeling_bert_generation.py @@ -305,12 +305,6 @@ def test_model_from_pretrained(self): model = BertGenerationEncoder.from_pretrained("google/bert_for_seq_generation_L-24_bbc_encoder") self.assertIsNotNone(model) - @unittest.skip( - "Not currently compatible. Fails with - NotImplementedError: Cannot copy out of meta tensor; no data!" - ) - def test_save_load_low_cpu_mem_usage(self): - pass - @require_torch class BertGenerationEncoderIntegrationTest(unittest.TestCase): diff --git a/tests/models/fsmt/test_modeling_fsmt.py b/tests/models/fsmt/test_modeling_fsmt.py index 18ee40e471a..da73b8d41d9 100644 --- a/tests/models/fsmt/test_modeling_fsmt.py +++ b/tests/models/fsmt/test_modeling_fsmt.py @@ -329,12 +329,6 @@ def test_tie_model_weights(self): def test_resize_embeddings_untied(self): pass - @unittest.skip( - "Not currently compatible. Fails with - NotImplementedError: Cannot copy out of meta tensor; no data!" - ) - def test_save_load_low_cpu_mem_usage(self): - pass - @require_torch class FSMTHeadTests(unittest.TestCase): diff --git a/tests/models/marian/test_modeling_marian.py b/tests/models/marian/test_modeling_marian.py index e393c7d1032..53a67c20459 100644 --- a/tests/models/marian/test_modeling_marian.py +++ b/tests/models/marian/test_modeling_marian.py @@ -372,12 +372,6 @@ def test_training_gradient_checkpointing_use_reentrant(self): def test_training_gradient_checkpointing_use_reentrant_false(self): pass - @unittest.skip( - "Not currently compatible. Fails with - NotImplementedError: Cannot copy out of meta tensor; no data!" - ) - def test_save_load_low_cpu_mem_usage(self): - pass - def assert_tensors_close(a, b, atol=1e-12, prefix=""): """If tensors have different shapes, different values or a and b are not both tensors, raise a nice Assertion error.""" diff --git a/tests/models/musicgen/test_modeling_musicgen.py b/tests/models/musicgen/test_modeling_musicgen.py index 284450a00af..b7952d27a71 100644 --- a/tests/models/musicgen/test_modeling_musicgen.py +++ b/tests/models/musicgen/test_modeling_musicgen.py @@ -1144,10 +1144,6 @@ def test_greedy_generate_stereo_outputs(self): self.assertNotIn(config.pad_token_id, output_generate) - @unittest.skip("Fails with - TypeError: _weight_norm_interface() missing 1 required positional argument: 'dim'") - def test_save_load_low_cpu_mem_usage(self): - pass - def get_bip_bip(bip_duration=0.125, duration=0.5, sample_rate=32000): """Produces a series of 'bip bip' sounds at a given frequency.""" diff --git a/tests/models/reformer/test_modeling_reformer.py b/tests/models/reformer/test_modeling_reformer.py index b1796a6c534..11cd7e1a33b 100644 --- a/tests/models/reformer/test_modeling_reformer.py +++ b/tests/models/reformer/test_modeling_reformer.py @@ -687,12 +687,6 @@ def _check_hidden_states_for_generate( def test_left_padding_compatibility(self): pass - @unittest.skip( - "Not currently compatible. Fails with - NotImplementedError: Cannot copy out of meta tensor; no data!" - ) - def test_save_load_low_cpu_mem_usage(self): - pass - @require_torch class ReformerLSHAttnModelTest( @@ -854,12 +848,6 @@ def test_past_key_values_format(self): def test_left_padding_compatibility(self): pass - @unittest.skip( - "Not currently compatible. Fails with - NotImplementedError: Cannot copy out of meta tensor; no data!" - ) - def test_save_load_low_cpu_mem_usage(self): - pass - @require_torch @require_sentencepiece diff --git a/tests/models/xlm_roberta_xl/test_modeling_xlm_roberta_xl.py b/tests/models/xlm_roberta_xl/test_modeling_xlm_roberta_xl.py index c6513ef7962..828d6a02a6a 100644 --- a/tests/models/xlm_roberta_xl/test_modeling_xlm_roberta_xl.py +++ b/tests/models/xlm_roberta_xl/test_modeling_xlm_roberta_xl.py @@ -515,12 +515,6 @@ def test_create_position_ids_from_inputs_embeds(self): self.assertEqual(position_ids.shape, expected_positions.shape) self.assertTrue(torch.all(torch.eq(position_ids, expected_positions))) - @unittest.skip( - "Not currently compatible. Fails with - NotImplementedError: Cannot copy out of meta tensor; no data!" - ) - def test_save_load_low_cpu_mem_usage(self): - pass - @require_torch class XLMRobertaModelXLIntegrationTest(unittest.TestCase):