fixed 2025.0 errors in gpu opt training

krisrak · krisrak · commit b88e4535c08b · 2024-11-01T21:47:59.000Z
diff --git a/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/05_Kernel_Programming/lab/convolution_global.cpp b/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/05_Kernel_Programming/lab/convolution_global.cpp
@@ -6,8 +6,8 @@
 #include <sycl/sycl.hpp>
 
 int main() {
-  constexpr size_t N = 8192 * 8192;
-  constexpr size_t M = 257;
+  constexpr int N = 8192 * 8192;
+  constexpr int M = 257;
 
   std::vector<int> input(N);
   std::vector<int> output(N);
diff --git a/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/05_Kernel_Programming/lab/convolution_global_conditionals.cpp b/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/05_Kernel_Programming/lab/convolution_global_conditionals.cpp
@@ -6,8 +6,8 @@
 #include <sycl/sycl.hpp>
 
 int main() {
-  constexpr size_t N = 8192 * 8192;
-  constexpr size_t M = 257;
+  constexpr int N = 8192 * 8192;
+  constexpr int M = 257;
 
   sycl::queue q{sycl::property::queue::enable_profiling{}};
   std::cout << "Device: " << q.get_device().get_info<sycl::info::device::name>() << "\n";
diff --git a/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/05_Kernel_Programming/lab/convolution_global_conditionals_minmax.cpp b/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/05_Kernel_Programming/lab/convolution_global_conditionals_minmax.cpp
@@ -6,8 +6,8 @@
 #include <sycl/sycl.hpp>
 
 int main() {
-  constexpr size_t N = 8192 * 8192;
-  constexpr size_t M = 257;
+  constexpr int N = 8192 * 8192;
+  constexpr int M = 257;
 
   std::vector<int> input(N);
   std::vector<int> output(N);
diff --git a/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/05_Kernel_Programming/src/convolution_global.cpp b/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/05_Kernel_Programming/src/convolution_global.cpp
@@ -6,8 +6,8 @@
 #include <sycl/sycl.hpp>
 
 int main() {
-  constexpr size_t N = 8192 * 8192;
-  constexpr size_t M = 257;
+  constexpr int N = 8192 * 8192;
+  constexpr int M = 257;
 
   std::vector<int> input(N);
   std::vector<int> output(N);
diff --git a/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/05_Kernel_Programming/src/convolution_global_conditionals.cpp b/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/05_Kernel_Programming/src/convolution_global_conditionals.cpp
@@ -6,8 +6,8 @@
 #include <sycl/sycl.hpp>
 
 int main() {
-  constexpr size_t N = 8192 * 8192;
-  constexpr size_t M = 257;
+  constexpr int N = 8192 * 8192;
+  constexpr int M = 257;
 
   sycl::queue q{sycl::property::queue::enable_profiling{}};
   std::cout << "Device: " << q.get_device().get_info<sycl::info::device::name>() << "\n";
diff --git a/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/05_Kernel_Programming/src/convolution_global_conditionals_minmax.cpp b/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/05_Kernel_Programming/src/convolution_global_conditionals_minmax.cpp
@@ -6,8 +6,8 @@
 #include <sycl/sycl.hpp>
 
 int main() {
-  constexpr size_t N = 8192 * 8192;
-  constexpr size_t M = 257;
+  constexpr int N = 8192 * 8192;
+  constexpr int M = 257;
 
   std::vector<int> input(N);
   std::vector<int> output(N);
diff --git a/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/06_Shared_Local_Memory/lab/convolution_global.cpp b/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/06_Shared_Local_Memory/lab/convolution_global.cpp
@@ -6,8 +6,8 @@
 #include <sycl/sycl.hpp>
 
 int main() {
-  constexpr size_t N = 8192 * 8192;
-  constexpr size_t M = 257;
+  constexpr int N = 8192 * 8192;
+  constexpr int M = 257;
 
   std::vector<int> input(N);
   std::vector<int> output(N);
diff --git a/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/06_Shared_Local_Memory/lab/convolution_slm.cpp b/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/06_Shared_Local_Memory/lab/convolution_slm.cpp
@@ -6,8 +6,8 @@
 #include <sycl/sycl.hpp>
 
 int main() {
-  constexpr size_t N = 8192 * 8192;
-  constexpr size_t M = 257;
+  constexpr int N = 8192 * 8192;
+  constexpr int M = 257;
 
   std::vector<int> input(N);
   std::vector<int> output(N);
diff --git a/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/06_Shared_Local_Memory/src/convolution_global.cpp b/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/06_Shared_Local_Memory/src/convolution_global.cpp
@@ -6,8 +6,8 @@
 #include <sycl/sycl.hpp>
 
 int main() {
-  constexpr size_t N = 8192 * 8192;
-  constexpr size_t M = 257;
+  constexpr int N = 8192 * 8192;
+  constexpr int M = 257;
 
   std::vector<int> input(N);
   std::vector<int> output(N);
diff --git a/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/06_Shared_Local_Memory/src/convolution_slm.cpp b/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/06_Shared_Local_Memory/src/convolution_slm.cpp
@@ -6,8 +6,8 @@
 #include <sycl/sycl.hpp>
 
 int main() {
-  constexpr size_t N = 8192 * 8192;
-  constexpr size_t M = 257;
+  constexpr int N = 8192 * 8192;
+  constexpr int M = 257;
 
   std::vector<int> input(N);
   std::vector<int> output(N);
diff --git a/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/07_Sub_Groups/lab/sg_mem_access_1.cpp b/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/07_Sub_Groups/lab/sg_mem_access_1.cpp
@@ -19,7 +19,7 @@ int main() {
     h.parallel_for(sycl::nd_range(sycl::range{N / 16}, sycl::range{32}),
                    [=](sycl::nd_item<1> it) {
                      int i = it.get_global_linear_id();
-                     sycl::ext::oneapi::sub_group sg = it.get_sub_group();
+                     sycl::sub_group sg = it.get_sub_group();
                      int sgSize = sg.get_local_range()[0];
                      i = (i / sgSize) * sgSize * 16 + (i % sgSize);
                      for (int j = 0; j < sgSize * 16; j += sgSize) {
diff --git a/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/07_Sub_Groups/lab/sg_mem_access_2.cpp b/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/07_Sub_Groups/lab/sg_mem_access_2.cpp
@@ -18,7 +18,7 @@ int main() {
     h.parallel_for(
         sycl::nd_range(sycl::range{N / 16}, sycl::range{32}), [=
     ](sycl::nd_item<1> it) [[intel::reqd_sub_group_size(16)]] {
-          sycl::ext::oneapi::sub_group sg = it.get_sub_group();
+          sycl::sub_group sg = it.get_sub_group();
           sycl::vec<int, 8> x;
 
           using global_ptr =
diff --git a/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/07_Sub_Groups/src/sg_mem_access_1.cpp b/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/07_Sub_Groups/src/sg_mem_access_1.cpp
@@ -19,7 +19,7 @@ int main() {
     h.parallel_for(sycl::nd_range(sycl::range{N / 16}, sycl::range{32}),
                    [=](sycl::nd_item<1> it) {
                      int i = it.get_global_linear_id();
-                     sycl::ext::oneapi::sub_group sg = it.get_sub_group();
+                     sycl::sub_group sg = it.get_sub_group();
                      int sgSize = sg.get_local_range()[0];
                      i = (i / sgSize) * sgSize * 16 + (i % sgSize);
                      for (int j = 0; j < sgSize * 16; j += sgSize) {
diff --git a/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/07_Sub_Groups/src/sg_mem_access_2.cpp b/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/07_Sub_Groups/src/sg_mem_access_2.cpp
@@ -18,7 +18,7 @@ int main() {
     h.parallel_for(
         sycl::nd_range(sycl::range{N / 16}, sycl::range{32}), [=
     ](sycl::nd_item<1> it) [[intel::reqd_sub_group_size(16)]] {
-          sycl::ext::oneapi::sub_group sg = it.get_sub_group();
+          sycl::sub_group sg = it.get_sub_group();
           sycl::vec<int, 8> x;
 
           using global_ptr =
diff --git a/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/09_Kernel_Reduction/lab/reduction_sg.cpp b/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/09_Kernel_Reduction/lab/reduction_sg.cpp
@@ -40,7 +40,7 @@ int main(int argc, char *argv[]) {
             size_t glob_id = item.get_global_id(0);
             size_t group_id = item.get_group(0);
             size_t loc_id = item.get_local_id(0);
-            sycl::ext::oneapi::sub_group sg = item.get_sub_group();
+            sycl::sub_group sg = item.get_sub_group();
             sycl::vec<int, 8> sum{0, 0, 0, 0, 0, 0, 0, 0};
             using global_ptr =
                 sycl::multi_ptr<int, sycl::access::address_space::global_space>;
diff --git a/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/09_Kernel_Reduction/src/reduction_sg.cpp b/DirectProgramming/C++SYCL/Jupyter/gpu-optimization-sycl-training/09_Kernel_Reduction/src/reduction_sg.cpp
@@ -40,7 +40,7 @@ int main(int argc, char *argv[]) {
             size_t glob_id = item.get_global_id(0);
             size_t group_id = item.get_group(0);
             size_t loc_id = item.get_local_id(0);
-            sycl::ext::oneapi::sub_group sg = item.get_sub_group();
+            sycl::sub_group sg = item.get_sub_group();
             sycl::vec<int, 8> sum{0, 0, 0, 0, 0, 0, 0, 0};
             using global_ptr =
                 sycl::multi_ptr<int, sycl::access::address_space::global_space>;
