1 files changed, 69 insertions, 0 deletions
diff --git a/intern/cycles/device/cuda/kernel.cpp b/intern/cycles/device/cuda/kernel.cpp
new file mode 100644
index 00000000000..0ed20ddf8e6
--- /dev/null
+++ b/intern/cycles/device/cuda/kernel.cpp
@@ -0,0 +1,69 @@
+/*
+ * Copyright 2011-2013 Blender Foundation
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#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];
+
+    /* No megakernel used for GPU. */
+    if (i == DEVICE_KERNEL_INTEGRATOR_MEGAKERNEL) {
+      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, NULL, 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*/