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Fix typos (#36910)

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* fix typos

* fix typos

* fix typos

* fix typos
This commit is contained in:
omahs
2025-03-24 15:08:29 +01:00
committed by GitHub
parent 340500b1a9
commit cbf924b76c
67 changed files with 111 additions and 111 deletions
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20
tests/models/aria/test_modeling_aria.py
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@@ -241,19 +241,19 @@ class AriaForConditionalGenerationModelTest(ModelTesterMixin, GenerationTesterMi
torch.testing.assert_close(out_embeds, out_ids)
@unittest.skip(
reason="This architecture seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
reason="This architecture seems to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
)
def test_training_gradient_checkpointing(self):
pass
@unittest.skip(
reason="This architecture seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
reason="This architecture seems to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
)
def test_training_gradient_checkpointing_use_reentrant(self):
pass
@unittest.skip(
reason="This architecture seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
reason="This architecture seems to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
)
def test_training_gradient_checkpointing_use_reentrant_false(self):
pass
@@ -311,7 +311,7 @@ class AriaForConditionalGenerationIntegrationTest(unittest.TestCase):
@slow
@require_bitsandbytes
def test_small_model_integration_test(self):
# Let' s make sure we test the preprocessing to replace what is used
# Let's make sure we test the preprocessing to replace what is used
model = AriaForConditionalGeneration.from_pretrained("rhymes-ai/Aria", load_in_4bit=True)
prompt = "<image>\nUSER: What are the things I should be cautious about when I visit this place?\nASSISTANT:"
@@ -333,7 +333,7 @@ class AriaForConditionalGenerationIntegrationTest(unittest.TestCase):
@slow
@require_bitsandbytes
def test_small_model_integration_test_llama_single(self):
# Let' s make sure we test the preprocessing to replace what is used
# Let's make sure we test the preprocessing to replace what is used
model_id = "rhymes-ai/Aria"
model = AriaForConditionalGeneration.from_pretrained(model_id, load_in_4bit=True)
@@ -355,7 +355,7 @@ class AriaForConditionalGenerationIntegrationTest(unittest.TestCase):
@slow
@require_bitsandbytes
def test_small_model_integration_test_llama_batched(self):
# Let' s make sure we test the preprocessing to replace what is used
# Let's make sure we test the preprocessing to replace what is used
model_id = "rhymes-ai/Aria"
model = AriaForConditionalGeneration.from_pretrained(model_id, load_in_4bit=True)
@@ -382,7 +382,7 @@ class AriaForConditionalGenerationIntegrationTest(unittest.TestCase):
@slow
@require_bitsandbytes
def test_small_model_integration_test_batch(self):
# Let' s make sure we test the preprocessing to replace what is used
# Let's make sure we test the preprocessing to replace what is used
model = AriaForConditionalGeneration.from_pretrained("rhymes-ai/Aria", load_in_4bit=True)
# The first batch is longer in terms of text, but only has 1 image. The second batch will be padded in text, but the first will be padded because images take more space!.
prompts = [
@@ -408,7 +408,7 @@ class AriaForConditionalGenerationIntegrationTest(unittest.TestCase):
@slow
@require_bitsandbytes
def test_small_model_integration_test_llama_batched_regression(self):
# Let' s make sure we test the preprocessing to replace what is used
# Let's make sure we test the preprocessing to replace what is used
model_id = "rhymes-ai/Aria"
# Multi-image & multi-prompt (e.g. 3 images and 2 prompts now fails with SDPA, this tests if "eager" works as before)
@@ -442,7 +442,7 @@ class AriaForConditionalGenerationIntegrationTest(unittest.TestCase):
processor = AutoProcessor.from_pretrained("rhymes-ai/Aria")
prompt1 = "<image>\n<image>\nUSER: What's the the difference of two images?\nASSISTANT:"
prompt1 = "<image>\n<image>\nUSER: What's the difference of two images?\nASSISTANT:"
prompt2 = "<image>\nUSER: Describe the image.\nASSISTANT:"
prompt3 = "<image>\nUSER: Describe the image.\nASSISTANT:"
url1 = "https://images.unsplash.com/photo-1552053831-71594a27632d?q=80&w=3062&auto=format&fit=crop&ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D"
@@ -460,7 +460,7 @@ class AriaForConditionalGenerationIntegrationTest(unittest.TestCase):
model = model.eval()
EXPECTED_OUTPUT = [
"\n \nUSER: What's the the difference of two images?\nASSISTANT: The difference between the two images is that one shows a dog standing on a grassy field, while",
"\n \nUSER: What's the difference of two images?\nASSISTANT: The difference between the two images is that one shows a dog standing on a grassy field, while",
"\nUSER: Describe the image.\nASSISTANT: The image features a brown and white dog sitting on a sidewalk. The dog is holding a small",
"\nUSER: Describe the image.\nASSISTANT: The image features a lone llama standing on a grassy hill. The llama is the",
]