Add Chromium-only Blender WebEngine parity work

blender-5.2.0/intern/cycles/device/cuda/kernel.cpp

@@ -0,0 +1,56 @@
+/* SPDX-FileCopyrightText: 2011-2022 Blender Foundation
+ *
+ * SPDX-License-Identifier: Apache-2.0 */
+
+#ifdef WITH_CUDA
+
+#  include "device/cuda/kernel.h"
+#  include "device/cuda/device_impl.h"
+
+CCL_NAMESPACE_BEGIN
+
+void CUDADeviceKernels::load(CUDADevice *device)
+{
+  CUmodule cuModule = device->cuModule;
+
+  for (int i = 0; i < (int)DEVICE_KERNEL_NUM; i++) {
+    CUDADeviceKernel &kernel = kernels_[i];
+
+    if (!device_kernel_has_gpu_function((DeviceKernel)i)) {
+      continue;
+    }
+
+    const std::string function_name = std::string("kernel_gpu_") +
+                                      device_kernel_as_string((DeviceKernel)i);
+    cuda_device_assert(device,
+                       cuModuleGetFunction(&kernel.function, cuModule, function_name.c_str()));
+
+    if (kernel.function) {
+      cuda_device_assert(device, cuFuncSetCacheConfig(kernel.function, CU_FUNC_CACHE_PREFER_L1));
+
+      cuda_device_assert(
+          device,
+          cuOccupancyMaxPotentialBlockSize(
+              &kernel.min_blocks, &kernel.num_threads_per_block, kernel.function, nullptr, 0, 0));
+    }
+    else {
+      LOG_ERROR << "Unable to load kernel " << function_name;
+    }
+  }
+
+  loaded = true;
+}
+
+const CUDADeviceKernel &CUDADeviceKernels::get(DeviceKernel kernel) const
+{
+  return kernels_[(int)kernel];
+}
+
+bool CUDADeviceKernels::available(DeviceKernel kernel) const
+{
+  return kernels_[(int)kernel].function != nullptr;
+}
+
+CCL_NAMESPACE_END
+
+#endif /* WITH_CUDA */