feat: Support Moore Threads GPU (#8383)

* Update doc for MUSA

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* Add GGML_MUSA in Makefile

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* Add GGML_MUSA in CMake

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* CUDA => MUSA

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* MUSA adds support for __vsubss4

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

* Fix CI build failure

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>

---------

Signed-off-by: Xiaodong Ye <xiaodong.ye@mthreads.com>
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R0CKSTAR 2024-07-28 07:41:25 +08:00 committed by GitHub
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@ -192,6 +192,19 @@ The environment variable [`CUDA_VISIBLE_DEVICES`](https://docs.nvidia.com/cuda/c
| GGML_CUDA_PEER_MAX_BATCH_SIZE | Positive integer | 128 | Maximum batch size for which to enable peer access between multiple GPUs. Peer access requires either Linux or NVLink. When using NVLink enabling peer access for larger batch sizes is potentially beneficial. |
| GGML_CUDA_FA_ALL_QUANTS | Boolean | false | Compile support for all KV cache quantization type (combinations) for the FlashAttention CUDA kernels. More fine-grained control over KV cache size but compilation takes much longer. |
### MUSA
- Using `make`:
```bash
make GGML_MUSA=1
```
- Using `CMake`:
```bash
cmake -B build -DGGML_MUSA=ON
cmake --build build --config Release
```
### hipBLAS
This provides BLAS acceleration on HIP-supported AMD GPUs.