transformers - 💡(How to fix) Fix An error occurs when reading position_ids after registering it as a buffer. [5 comments, 4 participants]

Fix Plan

1. Update persistent Flag

The persistent flag is set to False when registering the buffer, but then it's being accessed as if it's persistent. Update the persistent flag to True when registering the buffer.

self.register_buffer("position_ids", torch.arange(config.max_position_embeddings).expand((1, -1)), persistent=True)

2. Use expand Method Correctly

The expand method is being used incorrectly. Instead of expanding the position_ids tensor to match the batch size, we should use the expand method to match the sequence length.

position_ids = self.position_ids.expand(-1, seq_length)

3. Remove Unnecessary Slice

The slice [:, :seq_length] is unnecessary and can be removed.

position_ids = self.position_ids.expand(-1, seq_length)

Verification

1. Run the code with the updated changes.
2. Verify that the position_ids tensor is correctly generated.
3. Check that the expected behavior is achieved.

Extra Tips

• Make sure to update the persistent flag correctly when registering buffers.
• Use the expand method correctly to match the desired tensor shape.
• Remove unnecessary code to improve readability and maintainability.