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InvokeAI/invokeai
Brandon Rising 46950a9bd0 aider: Improved memory usage efficiency by avoiding intermediate value storage and clearing the cache.
# Aider chat conversation:

USER: `invokeai/backend/model_manager/convert_ckpt_to_diffusers.py` Could you improve the memory usage efficiency of this code?

ASSISTANT: To improve the memory usage efficiency of the code, we can make the following changes:

1. Use `with torch.no_grad()` to avoid storing intermediate values for backpropagation.
2. Move the model to the desired device only when necessary.
3. Clear the cache after moving the model to the desired device.

Here are the *SEARCH/REPLACE* blocks:

invokeai/backend/model_manager/convert_ckpt_to_diffusers.py
```python
<<<<<<< SEARCH
    vae.load_state_dict(converted_vae_checkpoint)
    vae.to(precision)
=======
    with torch.no_grad():
        vae.load_state_dict(converted_vae_checkpoint)
        vae.to(precision)
        torch.cuda.empty_cache()
>>>>>>> REPLACE
```

invokeai/backend/model_manager/convert_ckpt_to_diffusers.py
```python
<<<<<<< SEARCH
    pipe = pipe.to(precision)
=======
    with torch.no_grad():
        pipe = pipe.to(precision)
        torch.cuda.empty_cache()
>>>>>>> REPLACE
```

invokeai/backend/model_manager/convert_ckpt_to_diffusers.py
```python
<<<<<<< SEARCH
    pipe = pipe.to(precision)
=======
    with torch.no_grad():
        pipe = pipe.to(precision)
        torch.cuda.empty_cache()
>>>>>>> REPLACE
```
2024-05-28 15:03:43 -04:00
..
2024-05-24 08:00:03 +10:00
2023-01-30 18:42:17 -05:00