Cycles: Add support for rendering on Intel GPUs using oneAPI
This patch adds a new Cycles device with similar functionality to the existing GPU devices. Kernel compilation and runtime interaction happen via oneAPI DPC++ compiler and SYCL API. This implementation is primarly focusing on Intel® Arc™ GPUs and other future Intel GPUs. The first supported drivers are 101.1660 on Windows and 22.10.22597 on Linux. The necessary tools for compilation are: - A SYCL compiler such as oneAPI DPC++ compiler or https://github.com/intel/llvm - Intel® oneAPI Level Zero which is used for low level device queries: https://github.com/oneapi-src/level-zero - To optionally generate prebuilt graphics binaries: Intel® Graphics Compiler All are included in Linux precompiled libraries on svn: https://svn.blender.org/svnroot/bf-blender/trunk/lib The same goes for Windows precompiled binaries but for the graphics compiler, available as "Intel® Graphics Offline Compiler for OpenCL™ Code" from https://www.intel.com/content/www/us/en/developer/articles/tool/oneapi-standalone-components.html, for which path can be set as OCLOC_INSTALL_DIR. Being based on the open SYCL standard, this implementation could also be extended to run on other compatible non-Intel hardware in the future. Reviewed By: sergey, brecht Differential Revision: https://developer.blender.org/D15254 Co-authored-by: Nikita Sirgienko <nikita.sirgienko@intel.com> Co-authored-by: Stefan Werner <stefan.werner@intel.com>
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@@ -871,18 +871,20 @@ static PyObject *enable_print_stats_func(PyObject * /*self*/, PyObject * /*args*
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static PyObject *get_device_types_func(PyObject * /*self*/, PyObject * /*args*/)
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{
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vector<DeviceType> device_types = Device::available_types();
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bool has_cuda = false, has_optix = false, has_hip = false, has_metal = false;
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bool has_cuda = false, has_optix = false, has_hip = false, has_metal = false, has_oneapi = false;
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foreach (DeviceType device_type, device_types) {
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has_cuda |= (device_type == DEVICE_CUDA);
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has_optix |= (device_type == DEVICE_OPTIX);
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has_hip |= (device_type == DEVICE_HIP);
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has_metal |= (device_type == DEVICE_METAL);
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has_oneapi |= (device_type == DEVICE_ONEAPI);
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}
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PyObject *list = PyTuple_New(4);
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PyObject *list = PyTuple_New(5);
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PyTuple_SET_ITEM(list, 0, PyBool_FromLong(has_cuda));
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PyTuple_SET_ITEM(list, 1, PyBool_FromLong(has_optix));
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PyTuple_SET_ITEM(list, 2, PyBool_FromLong(has_hip));
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PyTuple_SET_ITEM(list, 3, PyBool_FromLong(has_metal));
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PyTuple_SET_ITEM(list, 4, PyBool_FromLong(has_oneapi));
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return list;
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}
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@@ -914,6 +916,9 @@ static PyObject *set_device_override_func(PyObject * /*self*/, PyObject *arg)
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else if (override == "METAL") {
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BlenderSession::device_override = DEVICE_MASK_METAL;
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}
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else if (override == "ONEAPI") {
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BlenderSession::device_override = DEVICE_MASK_ONEAPI;
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}
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else {
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printf("\nError: %s is not a valid Cycles device.\n", override.c_str());
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Py_RETURN_FALSE;
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