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ci : add env variable in ggml-ci and document the same in SYCL.md (#12736)
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@ -59,6 +59,8 @@ if [ ! -z ${GG_BUILD_SYCL} ]; then
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export ONEAPI_DEVICE_SELECTOR="level_zero:0"
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export ONEAPI_DEVICE_SELECTOR="level_zero:0"
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# Enable sysman for correct memory reporting
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# Enable sysman for correct memory reporting
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export ZES_ENABLE_SYSMAN=1
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export ZES_ENABLE_SYSMAN=1
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# to circumvent precision issues on CPY operations
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export SYCL_PROGRAM_COMPILE_OPTIONS="-cl-fp32-correctly-rounded-divide-sqrt"
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CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_SYCL=1 -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DGGML_SYCL_F16=ON"
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CMAKE_EXTRA="${CMAKE_EXTRA} -DGGML_SYCL=1 -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DGGML_SYCL_F16=ON"
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fi
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fi
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@ -302,6 +302,10 @@ cmake -B build -DGGML_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -
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cmake --build build --config Release -j -v
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cmake --build build --config Release -j -v
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```
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```
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It is possible to come across some precision issues when running tests that stem from using faster
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instructions, which can be circumvented by setting the environment variable `SYCL_PROGRAM_COMPILE_OPTIONS`
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as `-cl-fp32-correctly-rounded-divide-sqrt`
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#### Nvidia GPU
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#### Nvidia GPU
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The SYCL backend depends on [oneMath](https://github.com/uxlfoundation/oneMath) for Nvidia and AMD devices.
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The SYCL backend depends on [oneMath](https://github.com/uxlfoundation/oneMath) for Nvidia and AMD devices.
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@ -322,6 +326,9 @@ cmake -B build -DGGML_SYCL=ON -DGGML_SYCL_TARGET=NVIDIA -DGGML_SYCL_DEVICE_ARCH=
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cmake --build build --config Release -j -v
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cmake --build build --config Release -j -v
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```
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```
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It is possible to come across some precision issues when running tests that stem from using faster
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instructions, which can be circumvented by passing the `-fno-fast-math` flag to the compiler.
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#### AMD GPU
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#### AMD GPU
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The SYCL backend depends on [oneMath](https://github.com/uxlfoundation/oneMath) for Nvidia and AMD devices.
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The SYCL backend depends on [oneMath](https://github.com/uxlfoundation/oneMath) for Nvidia and AMD devices.
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