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use torch.testing.assertclose instead to get more details about error in cis (#35659)

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* use torch.testing.assertclose instead to get more details about error in cis

* fix

* style

* test_all

* revert for I bert

* fixes and updates

* more image processing fixes

* more image processors

* fix mamba and co

* style

* less strick

* ok I won't be strict

* skip and be done

* up
This commit is contained in:
Arthur
2025-01-24 16:55:28 +01:00
committed by GitHub
parent 72d1a4cd53
commit b912f5ee43
255 changed files with 1048 additions and 969 deletions
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10
tests/models/moshi/test_modeling_moshi.py
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@@ -244,7 +244,7 @@ class MoshiDecoderTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMi
else:
old_embeddings_mean = torch.mean(model_embed.weight.data[:-10, :], axis=0)
new_embeddings_mean = torch.mean(model_embed.weight.data[-10:, :], axis=0)
torch.testing.assert_close(old_embeddings_mean, new_embeddings_mean, atol=1e-3, rtol=1e-1)
torch.testing.assert_close(old_embeddings_mean, new_embeddings_mean, rtol=1e-3, atol=1e-3)
# Check that the model can still do a forward pass successfully (every parameter should be resized)
if not is_deepspeed_zero3_enabled():
@@ -344,7 +344,7 @@ class MoshiDecoderTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMi
else:
old_embeddings_mean = torch.mean(model_embed.weight.data[:-10, :], axis=0)
new_embeddings_mean = torch.mean(model_embed.weight.data[-10:, :], axis=0)
torch.testing.assert_close(old_embeddings_mean, new_embeddings_mean, atol=1e-3, rtol=1e-1)
torch.testing.assert_close(old_embeddings_mean, new_embeddings_mean, rtol=1e-3, atol=1e-3)
@unittest.skip(reason="Some undefined behavior encountered with test versions of this model. Skip for now.")
def test_cpu_offload(self):
@@ -733,7 +733,7 @@ class MoshiTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCase):
next_logits_with_padding = model(**model_kwargs).logits[:, -1, :]
# They should result in very similar logits
self.assertTrue(torch.allclose(next_logits_wo_padding, next_logits_with_padding, atol=1e-5))
torch.testing.assert_close(next_logits_wo_padding, next_logits_with_padding, rtol=1e-5, atol=1e-5)
@require_torch_sdpa
@slow
@@ -810,8 +810,8 @@ class MoshiTest(ModelTesterMixin, GenerationTesterMixin, unittest.TestCase):
depth_decoder_do_sample=False,
)
self.assertTrue(torch.allclose(res_eager.sequences, res_sdpa.sequences))
self.assertTrue(torch.allclose(res_eager.audio_sequences, res_sdpa.audio_sequences))
torch.testing.assert_close(res_eager.sequences, res_sdpa.sequences)
torch.testing.assert_close(res_eager.audio_sequences, res_sdpa.audio_sequences)
@pytest.mark.generate
def test_generate_without_input_ids(self):