Fix typos in tests (#36547)

Signed-off-by: co63oc <[email protected]>

Author: co63oc

tests/bettertransformer/test_integration.py

@@ -38,7 +38,7 @@ class BetterTransformerIntegrationTest(unittest.TestCase):
 
     def test_transform_and_reverse(self):
         r"""
-        Classic tests to simply check if the conversion has been successfull.
+        Classic tests to simply check if the conversion has been successful.
         """
         model_id = "hf-internal-testing/tiny-random-t5"
         tokenizer = AutoTokenizer.from_pretrained(model_id)

tests/models/align/test_modeling_align.py

@@ -219,13 +219,13 @@ def test_training_gradient_checkpointing(self):
         pass
 
     @unittest.skip(
-        reason="This architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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 architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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
@@ -361,13 +361,13 @@ def test_training_gradient_checkpointing(self):
         pass
 
     @unittest.skip(
-        reason="This architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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 architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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

tests/models/altclip/test_modeling_altclip.py

@@ -187,13 +187,13 @@ def test_training_gradient_checkpointing(self):
         pass
 
     @unittest.skip(
-        reason="This architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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 architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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
@@ -335,13 +335,13 @@ def test_training_gradient_checkpointing(self):
         pass
 
     @unittest.skip(
-        reason="This architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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 architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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

tests/models/aria/test_modeling_aria.py

@@ -241,19 +241,19 @@ def test_inputs_embeds_matches_input_ids(self):
             torch.testing.assert_close(out_embeds, out_ids)
 
     @unittest.skip(
-        reason="This architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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 architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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 architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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

tests/models/autoformer/test_modeling_autoformer.py

@@ -245,19 +245,19 @@ def test_resize_tokens_embeddings(self):
         pass
 
     @unittest.skip(
-        reason="This architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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 architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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
 
     @unittest.skip(
-        reason="This architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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

tests/models/bart/test_modeling_bart.py

@@ -504,7 +504,7 @@ def test_generate_fp16(self):
         model.generate(num_beams=4, do_sample=True, early_stopping=False, num_return_sequences=3)
 
     @unittest.skip(
-        reason="This architecure has tied weights by default and there is no way to remove it, check: https://github.com/huggingface/transformers/pull/31771#issuecomment-2210915245"
+        reason="This architecture has tied weights by default and there is no way to remove it, check: https://github.com/huggingface/transformers/pull/31771#issuecomment-2210915245"
     )
     def test_load_save_without_tied_weights(self):
         pass

tests/models/beit/test_modeling_beit.py

@@ -379,13 +379,13 @@ def test_training_gradient_checkpointing(self):
             loss.backward()
 
     @unittest.skip(
-        reason="This architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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 architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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

tests/models/big_bird/test_modeling_big_bird.py

@@ -609,19 +609,19 @@ def test_for_change_to_full_attn(self):
         self.model_tester.create_and_check_for_change_to_full_attn(*config_and_inputs)
 
     @unittest.skip(
-        reason="This architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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 architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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 architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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

tests/models/bigbird_pegasus/test_modeling_bigbird_pegasus.py

@@ -464,7 +464,7 @@ def test_for_change_to_full_attn(self):
         torch.testing.assert_close(outputs1, outputs2, rtol=1e-5, atol=1e-5)
 
     @unittest.skip(
-        reason="This architecure has tied weights by default and there is no way to remove it, check: https://github.com/huggingface/transformers/pull/31771#issuecomment-2210915245"
+        reason="This architecture has tied weights by default and there is no way to remove it, check: https://github.com/huggingface/transformers/pull/31771#issuecomment-2210915245"
     )
     def test_load_save_without_tied_weights(self):
         pass

tests/models/blip/test_modeling_blip.py

@@ -202,13 +202,13 @@ def test_training_gradient_checkpointing(self):
         pass
 
     @unittest.skip(
-        reason="This architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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 architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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
@@ -346,13 +346,13 @@ def test_training_gradient_checkpointing(self):
         pass
 
     @unittest.skip(
-        reason="This architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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 architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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
@@ -977,13 +977,13 @@ def test_training_gradient_checkpointing(self):
             loss.backward()
 
     @unittest.skip(
-        reason="This architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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 architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
+        reason="This architecture seem 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