Adapt benchmarks for DLE 2025.3 by removing -fpreview-breaking-changes

.github/actions/setup-pytorch/action.yml

@@ -78,7 +78,7 @@ runs:
       shell: bash
       env:
         # Increase this value to reset cache
-        CACHE_NUMBER: 18
+        CACHE_NUMBER: 19
       run: |
         ONEAPI_LINK=$(readlink /opt/intel/oneapi || true)
         ONEAPI_KEY=$(sha256sum /opt/intel/installed.txt 2> /dev/null | cut -d\  -f1 || true)
@@ -124,6 +124,12 @@ runs:
         # FIXME: Compatibility with versions of CMake older than 3.5 has been removed, this brakes compilation of third_party/protobuf:
         # CMake Error at third_party/protobuf/cmake/CMakeLists.txt:2 (cmake_minimum_required)
         pip install 'cmake<4.0.0'
+        # Try to avoid the following error:
+        #   A module that was compiled using NumPy 1.x cannot be run in
+        #   NumPy 2.2.6 as it may crash. To support both 1.x and 2.x
+        #   versions of NumPy, modules must be compiled with NumPy 2.0.
+        #   Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
+        pip install 'numpy>2.0'
         pip install -r requirements.txt
         USE_XCCL=1 USE_STATIC_MKL=1 python -m build --wheel --no-isolation 2>&1 | grep -v \
           "Double arithmetic operation is not supported on this platform with FP64 conversion emulation mode (poison FP64 kernels is enabled)." | grep -v '^$'

benchmarks/cutlass_kernel/CMakeLists.txt

@@ -58,7 +58,7 @@ add_custom_target(generate_gemm_config DEPENDS ${GEMM_CONFIG_OUTPUT})
 
 Python3_add_library(cutlass_kernel MODULE WITH_SOABI python_main.cpp)
 
-target_compile_options(cutlass_kernel PRIVATE "-fsycl" "-fsycl-targets=intel_gpu_pvc,intel_gpu_bmg_g21" "-fpreview-breaking-changes")
+target_compile_options(cutlass_kernel PRIVATE "-fsycl" "-fsycl-targets=intel_gpu_pvc,intel_gpu_bmg_g21")
 target_compile_options(cutlass_kernel PRIVATE "-DCUTLASS_ENABLE_SYCL")
 target_compile_options(cutlass_kernel PRIVATE "-DSYCL_INTEL_TARGET")
 target_compile_definitions(cutlass_kernel PRIVATE GEMM_CONFIG_HEADER=\"${GEMM_CONFIG_OUTPUT}\")

benchmarks/onednn_kernel/CMakeLists.txt

@@ -5,7 +5,7 @@ set(oneDNN_KERNEL_FLAGS ${oneDNN_KERNEL_FLAGS}
 
 Python3_add_library(onednn_kernel MODULE WITH_SOABI python_main.cpp)
 
-target_compile_options(onednn_kernel PRIVATE "-fsycl" "-fpreview-breaking-changes")
+target_compile_options(onednn_kernel PRIVATE "-fsycl")
 target_compile_options(onednn_kernel PRIVATE "-DDNNL_CPU_RUNTIME=SYCL")
 target_compile_options(onednn_kernel PRIVATE "-DDNNL_GPU_RUNTIME=SYCL")
 

benchmarks/xetla_kernel/CMakeLists.txt

@@ -27,7 +27,7 @@ endif()
 
 Python3_add_library(xetla_kernel MODULE WITH_SOABI python_main.cpp)
 target_compile_options(xetla_kernel PRIVATE "-fPIC")
-target_compile_options(xetla_kernel PRIVATE "-fsycl" "-fpreview-breaking-changes")
+target_compile_options(xetla_kernel PRIVATE "-fsycl")
 target_compile_options(xetla_kernel PUBLIC "-DXETPP_NEW_XMAIN")
 target_link_options(xetla_kernel PRIVATE ${XETLA_KERNEL_FLAGS})
 target_link_libraries(xetla_kernel PUBLIC ${TORCH_LIBRARIES} ${TORCH_PYTHON_LIBRARY})

utils/SPIRVRunner/CMakeLists.txt

@@ -35,9 +35,7 @@ ExternalProject_Add(
 )
 set(JSON_INCLUDE_DIR ${CMAKE_BINARY_DIR}/nlohmann_json/src/json/include/)
 
-# Add preview-breaking-changes for ABI compatibility with SYCL library linked by PyTorch:
-# https://github.com/pytorch/pytorch/commit/92bebb46fa9fd60523d8aeb7b5f1a3f488c4cd93
-set(COMPILE_FLAGS "-fsycl -Wall -fpreview-breaking-changes")
+set(COMPILE_FLAGS "-fsycl -Wall")
 set(LINK_FLAGS "-fsycl -lze_loader")
 
 set(SYCL_FUNCTIONS_INCLUDE_DIR "${CMAKE_CURRENT_SOURCE_DIR}/../../third_party/intel/backend/include")