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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). |