Replace assert statements with exceptions (#24856)

* Changed AssertionError to ValueError

try-except block was using AssesrtionError in except statement while the expected error is value error. Fixed the same.

* Changed AssertionError to ValueError

try-except block was using AssesrtionError in except statement while the expected error is ValueError. Fixed the same.
Note: While raising the ValueError args are passed to it, but later added again while handling the error (See the code snippet)

* Changed AssertionError to ValueError

try-except block was using AssesrtionError in except statement while the expected error is ValueError. Fixed the same.
Note: While raising the ValueError args are passed to it, but later added again while handling the error (See the code snippet)

* Changed AssertionError to ValueError

* Changed AssertionError to ValueError

* Changed AssertionError to ValueError

* Changed AssertionError to ValueError

* Changed AssertionError to ValueError

* Changed assert statement to ValueError based

* Changed assert statement to ValueError based

* Changed assert statement to ValueError based

* Changed incorrect error handling from AssertionError to ValueError

* Undoed change from AssertionError to ValueError as it is not needed

* Reverted back to using AssertionError as it is not necessary to make it into ValueError

* Fixed erraneous comparision

Changed == to !=

* Fixed erraneous comparision

Changed == to !=

* formatted the code

* Ran make fix-copies

src/transformers/models/albert/modeling_albert.py

@@ -182,7 +182,7 @@ def load_tf_weights_in_albert(model, config, tf_checkpoint_path):
         try:
             if pointer.shape != array.shape:
                 raise ValueError(f"Pointer shape {pointer.shape} and array shape {array.shape} mismatched")
-        except AssertionError as e:
+        except ValueError as e:
             e.args += (pointer.shape, array.shape)
             raise
         print(f"Initialize PyTorch weight {name} from {original_name}")

src/transformers/models/beit/convert_beit_unilm_to_pytorch.py

@@ -337,18 +337,19 @@ def convert_beit_checkpoint(checkpoint_url, pytorch_dump_folder_path):
     else:
         raise ValueError("Can't verify logits as model is not supported")
 
-    assert logits.shape == expected_shape, "Shape of logits not as expected"
+    if logits.shape != expected_shape:
+        raise ValueError(f"Shape of logits not as expected. {logits.shape=}, {expected_shape=}")
     if not has_lm_head:
         if is_semantic:
-            assert torch.allclose(
+            if not torch.allclose(logits[0, :3, :3, :3], expected_logits, atol=1e-3):
-                logits[0, :3, :3, :3], expected_logits, atol=1e-3
+                raise ValueError("First elements of logits not as expected")
-            ), "First elements of logits not as expected"
         else:
             print("Predicted class idx:", logits.argmax(-1).item())
-            assert torch.allclose(
+
-                logits[0, :3], expected_logits, atol=1e-3
+            if not torch.allclose(logits[0, :3], expected_logits, atol=1e-3):
-            ), "First elements of logits not as expected"
+                raise ValueError("First elements of logits not as expected")
-            assert logits.argmax(-1).item() == expected_class_idx, "Predicted class index not as expected"
+            if logits.argmax(-1).item() != expected_class_idx:
+                raise ValueError("Predicted class index not as expected")
 
     Path(pytorch_dump_folder_path).mkdir(exist_ok=True)
     print(f"Saving model to {pytorch_dump_folder_path}")

src/transformers/models/bert/modeling_bert.py

@@ -169,7 +169,7 @@ def load_tf_weights_in_bert(model, config, tf_checkpoint_path):
         try:
             if pointer.shape != array.shape:
                 raise ValueError(f"Pointer shape {pointer.shape} and array shape {array.shape} mismatched")
-        except AssertionError as e:
+        except ValueError as e:
             e.args += (pointer.shape, array.shape)
             raise
         logger.info(f"Initialize PyTorch weight {name}")

src/transformers/models/big_bird/modeling_big_bird.py

@@ -227,7 +227,7 @@ def load_tf_weights_in_big_bird(model, tf_checkpoint_path, is_trivia_qa=False):
                 raise ValueError(
                     f"Pointer shape {pointer.shape} and array shape {array.shape} mismatched of {txt_name}."
                 )
-        except AssertionError as e:
+        except ValueError as e:
             e.args += (pointer.shape, array.shape)
             raise
         pt_weight_name = ".".join(pt_name)

src/transformers/models/decision_transformer/modeling_decision_transformer.py

@@ -96,10 +96,9 @@ def load_tf_weights_in_gpt2(model, config, gpt2_checkpoint_path):
                 num = int(scope_names[1])
                 pointer = pointer[num]
         try:
-            assert (
+            if pointer.shape != array.shape:
-                pointer.shape == array.shape
+                raise ValueError(f"Pointer shape {pointer.shape} and array shape {array.shape} mismatched")
-            ), f"Pointer shape {pointer.shape} and array shape {array.shape} mismatched"
+        except ValueError as e:
-        except AssertionError as e:
             e.args += (pointer.shape, array.shape)
             raise
         logger.info(f"Initialize PyTorch weight {name}")

src/transformers/models/electra/modeling_electra.py

@@ -135,7 +135,7 @@ def load_tf_weights_in_electra(model, config, tf_checkpoint_path, discriminator_
             try:
                 if pointer.shape != array.shape:
                     raise ValueError(f"Pointer shape {pointer.shape} and array shape {array.shape} mismatched")
-            except AssertionError as e:
+            except ValueError as e:
                 e.args += (pointer.shape, array.shape)
                 raise
             print(f"Initialize PyTorch weight {name}", original_name)

src/transformers/models/gpt2/modeling_gpt2.py

@@ -110,10 +110,9 @@ def load_tf_weights_in_gpt2(model, config, gpt2_checkpoint_path):
                 num = int(scope_names[1])
                 pointer = pointer[num]
         try:
-            assert (
+            if pointer.shape != array.shape:
-                pointer.shape == array.shape
+                raise ValueError(f"Pointer shape {pointer.shape} and array shape {array.shape} mismatched")
-            ), f"Pointer shape {pointer.shape} and array shape {array.shape} mismatched"
+        except ValueError as e:
-        except AssertionError as e:
             e.args += (pointer.shape, array.shape)
             raise
         logger.info(f"Initialize PyTorch weight {name}")

src/transformers/models/roc_bert/modeling_roc_bert.py

@@ -146,7 +146,7 @@ def load_tf_weights_in_roc_bert(model, config, tf_checkpoint_path):
         try:
             if pointer.shape != array.shape:
                 raise ValueError(f"Pointer shape {pointer.shape} and array shape {array.shape} mismatched")
-        except AssertionError as e:
+        except ValueError as e:
             e.args += (pointer.shape, array.shape)
             raise
         logger.info(f"Initialize PyTorch weight {name}")