Merge pull request #244 from meher-m/transformers_fix

Adding support for transformers>=4.40.2 to avoid crash with mbpp

bigcode_eval/utils.py

@@ -297,11 +297,22 @@ def complete_code(
                         **gen_kwargs,
                     )
                 else:
-                    generated_tokens = model.generate(
-                        input_ids=inputs,
-                        num_return_sequences=batch_size,
-                        **gen_kwargs,
-                    )
+                    # In transformers (>= 4.40.2), if the length of input_ids == max_length, a ValueError is thrown.
+                    # We want to ignore this error in order to reproduce old results with mbpp.
+                    try:
+                        generated_tokens = model.generate(
+                            input_ids=inputs,
+                            num_return_sequences=batch_size,
+                            **gen_kwargs,
+                        )
+                    except ValueError as e:
+                        # When the length of input_ids == max_length, the generation is the same as the input
+                        if str(e).startswith(f"Input length of input_ids is {inputs.shape[1]}, but `max_length` is set to {gen_kwargs['max_length']}"):
+                            warnings.warn(f"An error with the following message was thrown: {e}. Returning the input as the generation, for higher scores consider using a larger `max_length`")
+                            generated_tokens = inputs
+                        else:
+                            raise e
+
             # each task is generated batch_size times
             generated_tasks = batch["task_id"].repeat(batch_size)
             generated_tokens = accelerator.pad_across_processes(