Cycles: add HIP device support for AMD GPUs
NOTE: this feature is not ready for user testing, and not yet enabled in daily builds. It is being merged now for easier collaboration on development. HIP is a heterogenous compute interface allowing C++ code to be executed on GPUs similar to CUDA. It is intended to bring back AMD GPU rendering support on Windows and Linux. https://github.com/ROCm-Developer-Tools/HIP. As of the time of writing, it should compile and run on Linux with existing HIP compilers and driver runtimes. Publicly available compilers and drivers for Windows will come later. See task T91571 for more details on the current status and work remaining to be done. Credits: Sayak Biswas (AMD) Arya Rafii (AMD) Brian Savery (AMD) Differential Revision: https://developer.blender.org/D12578
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@@ -911,14 +911,16 @@ 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;
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bool has_cuda = false, has_optix = false, has_hip = 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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}
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PyObject *list = PyTuple_New(2);
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PyObject *list = PyTuple_New(3);
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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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return list;
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}
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@@ -944,6 +946,9 @@ static PyObject *set_device_override_func(PyObject * /*self*/, PyObject *arg)
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else if (override == "OPTIX") {
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BlenderSession::device_override = DEVICE_MASK_OPTIX;
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}
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else if (override == "HIP") {
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BlenderSession::device_override = DEVICE_MASK_HIP;
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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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