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[GHA] Uplift Linux GPU RT version to 25.18.33578.6 #18673

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May 27, 2025
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12 changes: 6 additions & 6 deletions devops/dependencies.json
Original file line number Diff line number Diff line change
@@ -1,15 +1,15 @@
{
"linux": {
"compute_runtime": {
"github_tag": "25.13.33276.19",
"version": "25.13.33276.19",
"url": "https://github.com/intel/compute-runtime/releases/tag/25.13.33276.19",
"github_tag": "25.18.33578.6",
"version": "25.18.33578.6",
"url": "https://github.com/intel/compute-runtime/releases/tag/25.18.33578.6",
"root": "{DEPS_ROOT}/opencl/runtime/linux/oclgpu"
},
"igc": {
"github_tag": "v2.10.10",
"version": "v2.10.10",
"url": "https://github.com/intel/intel-graphics-compiler/releases/tag/v2.10.10",
"github_tag": "v2.11.7",
"version": "v2.11.7",
"url": "https://github.com/intel/intel-graphics-compiler/releases/tag/v2.11.7",
"root": "{DEPS_ROOT}/opencl/runtime/linux/oclgpu"
},
"cm": {
Expand Down
10 changes: 4 additions & 6 deletions sycl/test-e2e/ESIMD/group_barrier.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@

namespace syclex = sycl::ext::oneapi::experimental;

static constexpr int WorkGroupSize = 16;
static constexpr int WorkGroupSize = 32;

static constexpr int VL = 16;

Expand All @@ -33,20 +33,18 @@ template <bool UseThisWorkItemAPI> bool test(sycl::queue &q) {
auto Bundle =
sycl::get_kernel_bundle<sycl::bundle_state::executable>(q.get_context());
auto Kernel = Bundle.template get_kernel<MyKernel<UseThisWorkItemAPI>>();
sycl::range<1> LocalRange{WorkGroupSize};
sycl::range<3> LocalRange{WorkGroupSize, 1, 1};
auto MaxWGs = Kernel.template ext_oneapi_get_info<
syclex::info::kernel_queue_specific::max_num_work_groups>(q, LocalRange,
0);
auto GlobalRange = LocalRange;
GlobalRange[0] *= MaxWGs / VL;
size_t WorkItemCount = GlobalRange.size() * VL;
sycl::buffer<int> DataBuf{WorkItemCount};
const auto Range = sycl::nd_range<1>{GlobalRange, LocalRange};

const auto Range = sycl::nd_range<3>{GlobalRange, LocalRange};
q.submit([&](sycl::handler &h) {
sycl::accessor Data{DataBuf, h};
h.parallel_for<MyKernel<UseThisWorkItemAPI>>(
Range, Props, [=](sycl::nd_item<1> it) SYCL_ESIMD_KERNEL {
Range, Props, [=](sycl::nd_item<3> it) SYCL_ESIMD_KERNEL {
int ID = it.get_global_linear_id();
__ESIMD_NS::simd<int, VL> V(ID, 1);
// Write data to another kernel's data to verify the barrier works.
Expand Down
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