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Patch to skip failing test_save_load_low_cpu_mem_usage tests (#29043)

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* Patch to skip currently failing tests

* Whoops - wrong place
This commit is contained in:
amyeroberts
2024-02-15 17:26:33 +00:00
committed by GitHub
parent 6d1f545665
commit 4156f517ce
6 changed files with 40 additions and 0 deletions
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6
tests/models/bert_generation/test_modeling_bert_generation.py
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@@ -305,6 +305,12 @@ class BertGenerationEncoderTest(ModelTesterMixin, GenerationTesterMixin, Pipelin
model = BertGenerationEncoder.from_pretrained("google/bert_for_seq_generation_L-24_bbc_encoder") model = BertGenerationEncoder.from_pretrained("google/bert_for_seq_generation_L-24_bbc_encoder")
self.assertIsNotNone(model) 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 @require_torch
class BertGenerationEncoderIntegrationTest(unittest.TestCase): class BertGenerationEncoderIntegrationTest(unittest.TestCase):

6
tests/models/fsmt/test_modeling_fsmt.py
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@@ -329,6 +329,12 @@ class FSMTModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin
def test_resize_embeddings_untied(self): def test_resize_embeddings_untied(self):
pass 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_torch
class FSMTHeadTests(unittest.TestCase): class FSMTHeadTests(unittest.TestCase):

6
tests/models/marian/test_modeling_marian.py
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@@ -372,6 +372,12 @@ class MarianModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMix
def test_training_gradient_checkpointing_use_reentrant_false(self): def test_training_gradient_checkpointing_use_reentrant_false(self):
pass 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=""): 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.""" """If tensors have different shapes, different values or a and b are not both tensors, raise a nice Assertion error."""

4
tests/models/musicgen/test_modeling_musicgen.py
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@@ -1144,6 +1144,10 @@ class MusicgenTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin,
self.assertNotIn(config.pad_token_id, output_generate) 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): 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.""" """Produces a series of 'bip bip' sounds at a given frequency."""

12
tests/models/reformer/test_modeling_reformer.py
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@@ -687,6 +687,12 @@ class ReformerLocalAttnModelTest(ReformerTesterMixin, GenerationTesterMixin, Mod
def test_left_padding_compatibility(self): def test_left_padding_compatibility(self):
pass 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_torch
class ReformerLSHAttnModelTest( class ReformerLSHAttnModelTest(
@@ -848,6 +854,12 @@ class ReformerLSHAttnModelTest(
def test_left_padding_compatibility(self): def test_left_padding_compatibility(self):
pass 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_torch
@require_sentencepiece @require_sentencepiece

6
tests/models/xlm_roberta_xl/test_modeling_xlm_roberta_xl.py
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@@ -515,6 +515,12 @@ class XLMRobertaXLModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTes
self.assertEqual(position_ids.shape, expected_positions.shape) self.assertEqual(position_ids.shape, expected_positions.shape)
self.assertTrue(torch.all(torch.eq(position_ids, expected_positions))) 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 @require_torch
class XLMRobertaModelXLIntegrationTest(unittest.TestCase): class XLMRobertaModelXLIntegrationTest(unittest.TestCase):