249 lines
6.7 KiB
Markdown
249 lines
6.7 KiB
Markdown
# whisper.cpp for SYCL
|
|
|
|
[Background](#background)
|
|
|
|
[OS](#os)
|
|
|
|
[Intel GPU](#intel-gpu)
|
|
|
|
[Linux](#linux)
|
|
|
|
[Environment Variable](#environment-variable)
|
|
|
|
[Known Issue](#known-issue)
|
|
|
|
[Todo](#todo)
|
|
|
|
## Background
|
|
|
|
SYCL is a higher-level programming model to improve programming productivity on various hardware accelerators—such as CPUs, GPUs, and FPGAs. It is a single-source embedded domain-specific language based on pure C++17.
|
|
|
|
oneAPI is a specification that is open and standards-based, supporting multiple architecture types including but not limited to GPU, CPU, and FPGA. The spec has both direct programming and API-based programming paradigms.
|
|
|
|
Intel uses the SYCL as direct programming language to support CPU, GPUs and FPGAs.
|
|
|
|
To avoid re-inventing the wheel, this code refers other code paths in llama.cpp (like OpenBLAS, cuBLAS, CLBlast). We use a open-source tool [SYCLomatic](https://github.com/oneapi-src/SYCLomatic) (Commercial release [Intel® DPC++ Compatibility Tool](https://www.intel.com/content/www/us/en/developer/tools/oneapi/dpc-compatibility-tool.html)) migrate to SYCL.
|
|
|
|
The whisper.cpp for SYCL is used to support Intel GPUs.
|
|
|
|
For Intel CPU, recommend to use whisper.cpp for X86 (Intel MKL build).
|
|
|
|
## OS
|
|
|
|
|OS|Status|Verified|
|
|
|-|-|-|
|
|
|Linux|Support|Ubuntu 22.04|
|
|
|Windows|Ongoing| |
|
|
|
|
|
|
## Intel GPU
|
|
|
|
|Intel GPU| Status | Verified Model|
|
|
|-|-|-|
|
|
|Intel Data Center Max Series| Support| Max 1550|
|
|
|Intel Data Center Flex Series| Support| Flex 170|
|
|
|Intel Arc Series| Support| Arc 770|
|
|
|Intel built-in Arc GPU| Support| built-in Arc GPU in Meteor Lake|
|
|
|Intel iGPU| Support| iGPU in i5-1250P, i7-1165G7|
|
|
|
|
|
|
## Linux
|
|
|
|
### Setup Environment
|
|
|
|
1. Install Intel GPU driver.
|
|
|
|
a. Please install Intel GPU driver by official guide: [Install GPU Drivers](https://dgpu-docs.intel.com/driver/installation.html).
|
|
|
|
Note: for iGPU, please install the client GPU driver.
|
|
|
|
b. Add user to group: video, render.
|
|
|
|
```
|
|
sudo usermod -aG render username
|
|
sudo usermod -aG video username
|
|
```
|
|
|
|
Note: re-login to enable it.
|
|
|
|
c. Check
|
|
|
|
```
|
|
sudo apt install clinfo
|
|
sudo clinfo -l
|
|
```
|
|
|
|
Output (example):
|
|
|
|
```
|
|
Platform #0: Intel(R) OpenCL Graphics
|
|
`-- Device #0: Intel(R) Arc(TM) A770 Graphics
|
|
|
|
|
|
Platform #0: Intel(R) OpenCL HD Graphics
|
|
`-- Device #0: Intel(R) Iris(R) Xe Graphics [0x9a49]
|
|
```
|
|
|
|
2. Install Intel® oneAPI Base toolkit.
|
|
|
|
|
|
a. Please follow the procedure in [Get the Intel® oneAPI Base Toolkit ](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit.html).
|
|
|
|
Recommend to install to default folder: **/opt/intel/oneapi**.
|
|
|
|
Following guide use the default folder as example. If you use other folder, please modify the following guide info with your folder.
|
|
|
|
b. Check
|
|
|
|
```
|
|
source /opt/intel/oneapi/setvars.sh
|
|
|
|
sycl-ls
|
|
```
|
|
|
|
There should be one or more level-zero devices. Like **[ext_oneapi_level_zero:gpu:0]**.
|
|
|
|
Output (example):
|
|
```
|
|
[opencl:acc:0] Intel(R) FPGA Emulation Platform for OpenCL(TM), Intel(R) FPGA Emulation Device OpenCL 1.2 [2023.16.10.0.17_160000]
|
|
[opencl:cpu:1] Intel(R) OpenCL, 13th Gen Intel(R) Core(TM) i7-13700K OpenCL 3.0 (Build 0) [2023.16.10.0.17_160000]
|
|
[opencl:gpu:2] Intel(R) OpenCL Graphics, Intel(R) Arc(TM) A770 Graphics OpenCL 3.0 NEO [23.30.26918.50]
|
|
[ext_oneapi_level_zero:gpu:0] Intel(R) Level-Zero, Intel(R) Arc(TM) A770 Graphics 1.3 [1.3.26918]
|
|
|
|
```
|
|
|
|
2. Build locally:
|
|
|
|
```
|
|
mkdir -p build
|
|
cd build
|
|
source /opt/intel/oneapi/setvars.sh
|
|
|
|
#for FP16
|
|
#cmake .. -DWHISPER_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DWHISPER_SYCL_F16=ON
|
|
|
|
#for FP32
|
|
cmake .. -DWHISPER_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx
|
|
|
|
#build example/main only
|
|
#cmake --build . --config Release --target main
|
|
|
|
#build all binary
|
|
cmake --build . --config Release -v
|
|
|
|
```
|
|
|
|
or
|
|
|
|
```
|
|
./examples/sycl/build.sh
|
|
```
|
|
|
|
Note:
|
|
|
|
- By default, it will build for all binary files. It will take more time. To reduce the time, we recommend to build for **example/main** only.
|
|
|
|
### Run
|
|
|
|
1. Put model file to folder **models**
|
|
|
|
2. Enable oneAPI running environment
|
|
|
|
```
|
|
source /opt/intel/oneapi/setvars.sh
|
|
```
|
|
|
|
3. List device ID
|
|
|
|
Run without parameter:
|
|
|
|
```
|
|
./build/bin/ls-sycl-device
|
|
|
|
or
|
|
|
|
./build/bin/main
|
|
```
|
|
|
|
Check the ID in startup log, like:
|
|
|
|
```
|
|
found 4 SYCL devices:
|
|
Device 0: Intel(R) Arc(TM) A770 Graphics, compute capability 1.3,
|
|
max compute_units 512, max work group size 1024, max sub group size 32, global mem size 16225243136
|
|
Device 1: Intel(R) FPGA Emulation Device, compute capability 1.2,
|
|
max compute_units 24, max work group size 67108864, max sub group size 64, global mem size 67065057280
|
|
Device 2: 13th Gen Intel(R) Core(TM) i7-13700K, compute capability 3.0,
|
|
max compute_units 24, max work group size 8192, max sub group size 64, global mem size 67065057280
|
|
Device 3: Intel(R) Arc(TM) A770 Graphics, compute capability 3.0,
|
|
max compute_units 512, max work group size 1024, max sub group size 32, global mem size 16225243136
|
|
|
|
```
|
|
|
|
|Attribute|Note|
|
|
|-|-|
|
|
|compute capability 1.3|Level-zero running time, recommended |
|
|
|compute capability 3.0|OpenCL running time, slower than level-zero in most cases|
|
|
|
|
4. Set device ID and execute whisper.cpp
|
|
|
|
Set device ID = 0 by **GGML_SYCL_DEVICE=0**
|
|
|
|
```
|
|
GGML_SYCL_DEVICE=0 ./build/bin/main -m models/ggml-base.en.bin -f samples/jfk.wav
|
|
```
|
|
or run by script:
|
|
|
|
```
|
|
./examples/sycl/run_whisper.sh
|
|
```
|
|
|
|
|
|
|
|
5. Check the device ID in output
|
|
|
|
Like:
|
|
```
|
|
Using device **0** (Intel(R) Arc(TM) A770 Graphics) as main device
|
|
```
|
|
|
|
|
|
## Environment Variable
|
|
|
|
#### Build
|
|
|
|
|Name|Value|Function|
|
|
|-|-|-|
|
|
|WHISPER_SYCL|ON (mandatory)|Enable build with SYCL code path. <br>For FP32/FP16, WHISPER_SYCL=ON is mandatory.|
|
|
|WHISPER_SYCL_F16|ON (optional)|Enable FP16 build with SYCL code path.For FP32, do not set it.|
|
|
|CMAKE_C_COMPILER|icx|Use icx compiler for SYCL code path|
|
|
|CMAKE_CXX_COMPILER|icpx|use icpx for SYCL code path|
|
|
|
|
#### Running
|
|
|
|
|
|
|Name|Value|Function|
|
|
|-|-|-|
|
|
|GGML_SYCL_DEVICE|0 (default) or 1|Set the device id used. Check the device ids by default running output|
|
|
|GGML_SYCL_DEBUG|0 (default) or 1|Enable log function by macro: GGML_SYCL_DEBUG|
|
|
|
|
## Known Issue
|
|
|
|
- Error: `error while loading shared libraries: libsycl.so.7: cannot open shared object file: No such file or directory`.
|
|
|
|
Miss to enable oneAPI running environment.
|
|
|
|
Install oneAPI base toolkit and enable it by: `source /opt/intel/oneapi/setvars.sh`.
|
|
|
|
|
|
- Hang during startup
|
|
|
|
llama.cpp use mmap as default way to read model file and copy to GPU. In some system, memcpy will be abnormal and block.
|
|
|
|
Solution: add **--no-mmap**.
|
|
|
|
## Todo
|
|
|
|
- Support to build in Windows.
|
|
|
|
- Support multiple cards. |