a02992f131
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>
120 lines
3.3 KiB
C++
120 lines
3.3 KiB
C++
/* SPDX-License-Identifier: Apache-2.0
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* Copyright 2011-2022 Blender Foundation */
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#include "blender/device.h"
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#include "blender/session.h"
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#include "blender/util.h"
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#include "util/foreach.h"
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CCL_NAMESPACE_BEGIN
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enum ComputeDevice {
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COMPUTE_DEVICE_CPU = 0,
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COMPUTE_DEVICE_CUDA = 1,
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COMPUTE_DEVICE_OPTIX = 3,
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COMPUTE_DEVICE_HIP = 4,
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COMPUTE_DEVICE_METAL = 5,
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COMPUTE_DEVICE_ONEAPI = 6,
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COMPUTE_DEVICE_NUM
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};
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int blender_device_threads(BL::Scene &b_scene)
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{
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BL::RenderSettings b_r = b_scene.render();
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if (b_r.threads_mode() == BL::RenderSettings::threads_mode_FIXED)
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return b_r.threads();
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else
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return 0;
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}
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DeviceInfo blender_device_info(BL::Preferences &b_preferences, BL::Scene &b_scene, bool background)
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{
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PointerRNA cscene = RNA_pointer_get(&b_scene.ptr, "cycles");
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/* Find cycles preferences. */
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PointerRNA cpreferences;
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for (BL::Addon &b_addon : b_preferences.addons) {
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if (b_addon.module() == "cycles") {
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cpreferences = b_addon.preferences().ptr;
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break;
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}
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}
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/* Default to CPU device. */
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DeviceInfo device = Device::available_devices(DEVICE_MASK_CPU).front();
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if (BlenderSession::device_override != DEVICE_MASK_ALL) {
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vector<DeviceInfo> devices = Device::available_devices(BlenderSession::device_override);
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if (devices.empty()) {
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device = Device::dummy_device("Found no Cycles device of the specified type");
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}
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else {
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int threads = blender_device_threads(b_scene);
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device = Device::get_multi_device(devices, threads, background);
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}
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}
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else if (get_enum(cscene, "device") == 1) {
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/* Test if we are using GPU devices. */
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ComputeDevice compute_device = (ComputeDevice)get_enum(
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cpreferences, "compute_device_type", COMPUTE_DEVICE_NUM, COMPUTE_DEVICE_CPU);
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if (compute_device != COMPUTE_DEVICE_CPU) {
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/* Query GPU devices with matching types. */
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uint mask = DEVICE_MASK_CPU;
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if (compute_device == COMPUTE_DEVICE_CUDA) {
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mask |= DEVICE_MASK_CUDA;
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}
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else if (compute_device == COMPUTE_DEVICE_OPTIX) {
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mask |= DEVICE_MASK_OPTIX;
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}
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else if (compute_device == COMPUTE_DEVICE_HIP) {
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mask |= DEVICE_MASK_HIP;
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}
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else if (compute_device == COMPUTE_DEVICE_METAL) {
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mask |= DEVICE_MASK_METAL;
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}
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else if (compute_device == COMPUTE_DEVICE_ONEAPI) {
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mask |= DEVICE_MASK_ONEAPI;
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}
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vector<DeviceInfo> devices = Device::available_devices(mask);
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/* Match device preferences and available devices. */
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vector<DeviceInfo> used_devices;
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RNA_BEGIN (&cpreferences, device, "devices") {
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if (get_boolean(device, "use")) {
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string id = get_string(device, "id");
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foreach (DeviceInfo &info, devices) {
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if (info.id == id) {
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used_devices.push_back(info);
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break;
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}
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}
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}
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}
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RNA_END;
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if (!used_devices.empty()) {
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int threads = blender_device_threads(b_scene);
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device = Device::get_multi_device(used_devices, threads, background);
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}
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/* Else keep using the CPU device that was set before. */
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}
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}
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if (!get_boolean(cpreferences, "peer_memory")) {
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device.has_peer_memory = false;
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}
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if (get_boolean(cpreferences, "use_metalrt")) {
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device.use_metalrt = true;
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}
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return device;
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}
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CCL_NAMESPACE_END
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