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| # DirectML | |
| SD.Next includes support for PyTorch-DirectML. | |
| ## How to | |
| Add `--use-directml` on commandline arguments. | |
| For details, go to [Installation](https://github.com/vladmandic/automatic/wiki/Installation#general-installation). | |
| ## Performance | |
| The performance is quite bad compared to ROCm. | |
| If you are familiar with Linux system, we recommend ROCm. | |
| ## FAQ | |
| ### DirectML does not collect garbage memory. | |
| PyTorch-DirectML does not access graphics memory by indexing. Because PyTorch-DirectML's tensor implementation extends [OpaqueTensorImpl](https://github.com/pytorch/pytorch/blob/main/aten/src/ATen/OpaqueTensorImpl.h), we cannot access the actual storage of a tensor. | |
| ### An error occurs with no error message. | |
| If you met `RuntimeError` with no error message (or empty), please report us via GitHub issue or Discord. (please check whether there's a duplicated issue) | |
| ### It does not work properly with FP16. | |
| If it works with FP32, please report us via GitHub issue or Discord. (please check whether there's a duplicated issue) | |
| ### The terminal is suddenly frozen during generation. | |
| Please report us via GitHub issue or Discord. (please check whether there's a duplicated issue) | |
| # Olive (experimental support) | |
| Refer to [ONNX Runtime](https://github.com/vladmandic/automatic/wiki/ONNX-Runtime-&-Olive). |