0e4ddaadd4
Previously we only had experimental flag passed to device's load_kernel() which was all fine. But since we're gonna to have some extra parameters passed there it makes sense to wrap them into a single struct, which will make it easier to pass stuff around.
1261 lines
33 KiB
C++
1261 lines
33 KiB
C++
/*
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* Copyright 2011-2013 Blender Foundation
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include <stdio.h>
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#include <stdlib.h>
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#include <string.h>
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#include "device.h"
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#include "device_intern.h"
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#include "buffers.h"
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#include "cuew.h"
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#include "util_debug.h"
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#include "util_logging.h"
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#include "util_map.h"
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#include "util_opengl.h"
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#include "util_path.h"
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#include "util_string.h"
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#include "util_system.h"
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#include "util_types.h"
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#include "util_time.h"
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CCL_NAMESPACE_BEGIN
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class CUDADevice : public Device
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{
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public:
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DedicatedTaskPool task_pool;
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CUdevice cuDevice;
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CUcontext cuContext;
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CUmodule cuModule;
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map<device_ptr, bool> tex_interp_map;
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int cuDevId;
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int cuDevArchitecture;
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bool first_error;
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bool use_texture_storage;
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struct PixelMem {
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GLuint cuPBO;
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CUgraphicsResource cuPBOresource;
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GLuint cuTexId;
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int w, h;
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};
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map<device_ptr, PixelMem> pixel_mem_map;
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CUdeviceptr cuda_device_ptr(device_ptr mem)
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{
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return (CUdeviceptr)mem;
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}
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static bool have_precompiled_kernels()
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{
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string cubins_path = path_get("lib");
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return path_exists(cubins_path);
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}
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/*#ifdef NDEBUG
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#define cuda_abort()
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#else
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#define cuda_abort() abort()
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#endif*/
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void cuda_error_documentation()
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{
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if(first_error) {
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fprintf(stderr, "\nRefer to the Cycles GPU rendering documentation for possible solutions:\n");
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fprintf(stderr, "http://www.blender.org/manual/render/cycles/gpu_rendering.html\n\n");
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first_error = false;
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}
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}
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#define cuda_assert(stmt) \
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{ \
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CUresult result = stmt; \
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\
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if(result != CUDA_SUCCESS) { \
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string message = string_printf("CUDA error: %s in %s", cuewErrorString(result), #stmt); \
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if(error_msg == "") \
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error_msg = message; \
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fprintf(stderr, "%s\n", message.c_str()); \
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/*cuda_abort();*/ \
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cuda_error_documentation(); \
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} \
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} (void)0
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bool cuda_error_(CUresult result, const string& stmt)
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{
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if(result == CUDA_SUCCESS)
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return false;
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string message = string_printf("CUDA error at %s: %s", stmt.c_str(), cuewErrorString(result));
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if(error_msg == "")
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error_msg = message;
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fprintf(stderr, "%s\n", message.c_str());
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cuda_error_documentation();
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return true;
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}
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#define cuda_error(stmt) cuda_error_(stmt, #stmt)
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void cuda_error_message(const string& message)
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{
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if(error_msg == "")
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error_msg = message;
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fprintf(stderr, "%s\n", message.c_str());
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cuda_error_documentation();
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}
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void cuda_push_context()
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{
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cuda_assert(cuCtxSetCurrent(cuContext));
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}
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void cuda_pop_context()
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{
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cuda_assert(cuCtxSetCurrent(NULL));
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}
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CUDADevice(DeviceInfo& info, Stats &stats, bool background_)
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: Device(info, stats, background_)
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{
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first_error = true;
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background = background_;
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use_texture_storage = true;
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cuDevId = info.num;
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cuDevice = 0;
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cuContext = 0;
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/* intialize */
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if(cuda_error(cuInit(0)))
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return;
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/* setup device and context */
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if(cuda_error(cuDeviceGet(&cuDevice, cuDevId)))
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return;
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CUresult result;
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if(background) {
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result = cuCtxCreate(&cuContext, 0, cuDevice);
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}
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else {
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result = cuGLCtxCreate(&cuContext, 0, cuDevice);
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if(result != CUDA_SUCCESS) {
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result = cuCtxCreate(&cuContext, 0, cuDevice);
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background = true;
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}
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}
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if(cuda_error_(result, "cuCtxCreate"))
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return;
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int major, minor;
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cuDeviceComputeCapability(&major, &minor, cuDevId);
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cuDevArchitecture = major*100 + minor*10;
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/* In order to use full 6GB of memory on Titan cards, use arrays instead
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* of textures. On earlier cards this seems slower, but on Titan it is
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* actually slightly faster in tests. */
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use_texture_storage = (cuDevArchitecture < 300);
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cuda_pop_context();
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}
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~CUDADevice()
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{
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task_pool.stop();
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cuda_assert(cuCtxDestroy(cuContext));
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}
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bool support_device(bool /*experimental*/)
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{
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int major, minor;
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cuDeviceComputeCapability(&major, &minor, cuDevId);
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/* We only support sm_20 and above */
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if(major < 2) {
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cuda_error_message(string_printf("CUDA device supported only with compute capability 2.0 or up, found %d.%d.", major, minor));
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return false;
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}
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return true;
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}
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string compile_kernel(bool experimental)
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{
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/* compute cubin name */
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int major, minor;
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cuDeviceComputeCapability(&major, &minor, cuDevId);
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string cubin;
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/* attempt to use kernel provided with blender */
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if(experimental)
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cubin = path_get(string_printf("lib/kernel_experimental_sm_%d%d.cubin", major, minor));
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else
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cubin = path_get(string_printf("lib/kernel_sm_%d%d.cubin", major, minor));
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VLOG(1) << "Testing for pre-compiled kernel " << cubin;
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if(path_exists(cubin)) {
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VLOG(1) << "Using precompiled kernel";
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return cubin;
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}
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/* not found, try to use locally compiled kernel */
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string kernel_path = path_get("kernel");
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string md5 = path_files_md5_hash(kernel_path);
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if(experimental)
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cubin = string_printf("cycles_kernel_experimental_sm%d%d_%s.cubin", major, minor, md5.c_str());
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else
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cubin = string_printf("cycles_kernel_sm%d%d_%s.cubin", major, minor, md5.c_str());
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cubin = path_user_get(path_join("cache", cubin));
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VLOG(1) << "Testing for locally compiled kernel " << cubin;
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/* if exists already, use it */
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if(path_exists(cubin)) {
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VLOG(1) << "Using locally compiled kernel";
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return cubin;
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}
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#ifdef _WIN32
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if(have_precompiled_kernels()) {
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if(major < 2)
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cuda_error_message(string_printf("CUDA device requires compute capability 2.0 or up, found %d.%d. Your GPU is not supported.", major, minor));
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else
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cuda_error_message(string_printf("CUDA binary kernel for this graphics card compute capability (%d.%d) not found.", major, minor));
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return "";
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}
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#endif
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/* if not, find CUDA compiler */
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const char *nvcc = cuewCompilerPath();
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if(nvcc == NULL) {
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cuda_error_message("CUDA nvcc compiler not found. Install CUDA toolkit in default location.");
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return "";
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}
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int cuda_version = cuewCompilerVersion();
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VLOG(1) << "Found nvcc " << nvcc << ", CUDA version " << cuda_version;
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if(cuda_version == 0) {
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cuda_error_message("CUDA nvcc compiler version could not be parsed.");
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return "";
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}
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if(cuda_version < 60) {
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printf("Unsupported CUDA version %d.%d detected, you need CUDA 6.5.\n", cuda_version/10, cuda_version%10);
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return "";
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}
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else if(cuda_version != 65)
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printf("CUDA version %d.%d detected, build may succeed but only CUDA 6.5 is officially supported.\n", cuda_version/10, cuda_version%10);
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/* compile */
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string kernel = path_join(kernel_path, "kernel.cu");
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string include = kernel_path;
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const int machine = system_cpu_bits();
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double starttime = time_dt();
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printf("Compiling CUDA kernel ...\n");
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path_create_directories(cubin);
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string command = string_printf("\"%s\" -arch=sm_%d%d -m%d --cubin \"%s\" "
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"-o \"%s\" --ptxas-options=\"-v\" --use_fast_math -I\"%s\" "
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"-DNVCC -D__KERNEL_CUDA_VERSION__=%d",
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nvcc, major, minor, machine, kernel.c_str(), cubin.c_str(), include.c_str(), cuda_version);
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if(experimental)
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command += " -D__KERNEL_CUDA_EXPERIMENTAL__";
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if(getenv("CYCLES_CUDA_EXTRA_CFLAGS")) {
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command += string(" ") + getenv("CYCLES_CUDA_EXTRA_CFLAGS");
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}
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#ifdef WITH_CYCLES_DEBUG
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command += " -D__KERNEL_DEBUG__";
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#endif
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printf("%s\n", command.c_str());
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if(system(command.c_str()) == -1) {
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cuda_error_message("Failed to execute compilation command, see console for details.");
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return "";
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}
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/* verify if compilation succeeded */
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if(!path_exists(cubin)) {
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cuda_error_message("CUDA kernel compilation failed, see console for details.");
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return "";
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}
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printf("Kernel compilation finished in %.2lfs.\n", time_dt() - starttime);
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return cubin;
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}
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bool load_kernels(const DeviceRequestedFeatures& requested_features)
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{
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/* check if cuda init succeeded */
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if(cuContext == 0)
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return false;
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/* check if GPU is supported */
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if(!support_device(requested_features.experimental))
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return false;
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/* get kernel */
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string cubin = compile_kernel(requested_features.experimental);
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if(cubin == "")
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return false;
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/* open module */
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cuda_push_context();
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string cubin_data;
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CUresult result;
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if(path_read_text(cubin, cubin_data))
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result = cuModuleLoadData(&cuModule, cubin_data.c_str());
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else
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result = CUDA_ERROR_FILE_NOT_FOUND;
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if(cuda_error_(result, "cuModuleLoad"))
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cuda_error_message(string_printf("Failed loading CUDA kernel %s.", cubin.c_str()));
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cuda_pop_context();
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return (result == CUDA_SUCCESS);
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}
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void mem_alloc(device_memory& mem, MemoryType /*type*/)
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{
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cuda_push_context();
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CUdeviceptr device_pointer;
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size_t size = mem.memory_size();
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cuda_assert(cuMemAlloc(&device_pointer, size));
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mem.device_pointer = (device_ptr)device_pointer;
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mem.device_size = size;
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stats.mem_alloc(size);
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cuda_pop_context();
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}
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void mem_copy_to(device_memory& mem)
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{
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cuda_push_context();
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if(mem.device_pointer)
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cuda_assert(cuMemcpyHtoD(cuda_device_ptr(mem.device_pointer), (void*)mem.data_pointer, mem.memory_size()));
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cuda_pop_context();
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}
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void mem_copy_from(device_memory& mem, int y, int w, int h, int elem)
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{
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size_t offset = elem*y*w;
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size_t size = elem*w*h;
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cuda_push_context();
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if(mem.device_pointer) {
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cuda_assert(cuMemcpyDtoH((uchar*)mem.data_pointer + offset,
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(CUdeviceptr)(mem.device_pointer + offset), size));
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}
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else {
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memset((char*)mem.data_pointer + offset, 0, size);
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}
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cuda_pop_context();
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}
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void mem_zero(device_memory& mem)
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{
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memset((void*)mem.data_pointer, 0, mem.memory_size());
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cuda_push_context();
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if(mem.device_pointer)
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cuda_assert(cuMemsetD8(cuda_device_ptr(mem.device_pointer), 0, mem.memory_size()));
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cuda_pop_context();
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}
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void mem_free(device_memory& mem)
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{
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if(mem.device_pointer) {
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cuda_push_context();
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cuda_assert(cuMemFree(cuda_device_ptr(mem.device_pointer)));
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cuda_pop_context();
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mem.device_pointer = 0;
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stats.mem_free(mem.device_size);
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mem.device_size = 0;
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}
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}
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void const_copy_to(const char *name, void *host, size_t size)
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{
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CUdeviceptr mem;
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size_t bytes;
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cuda_push_context();
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cuda_assert(cuModuleGetGlobal(&mem, &bytes, cuModule, name));
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//assert(bytes == size);
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cuda_assert(cuMemcpyHtoD(mem, host, size));
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cuda_pop_context();
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}
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void tex_alloc(const char *name, device_memory& mem, InterpolationType interpolation, bool periodic)
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{
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/* todo: support 3D textures, only CPU for now */
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VLOG(1) << "Texture allocate: " << name << ", " << mem.memory_size() << " bytes.";
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/* determine format */
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CUarray_format_enum format;
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size_t dsize = datatype_size(mem.data_type);
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size_t size = mem.memory_size();
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bool use_texture = (interpolation != INTERPOLATION_NONE) || use_texture_storage;
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if(use_texture) {
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switch(mem.data_type) {
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case TYPE_UCHAR: format = CU_AD_FORMAT_UNSIGNED_INT8; break;
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case TYPE_UINT: format = CU_AD_FORMAT_UNSIGNED_INT32; break;
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case TYPE_INT: format = CU_AD_FORMAT_SIGNED_INT32; break;
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case TYPE_FLOAT: format = CU_AD_FORMAT_FLOAT; break;
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default: assert(0); return;
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}
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CUtexref texref = NULL;
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cuda_push_context();
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cuda_assert(cuModuleGetTexRef(&texref, cuModule, name));
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if(!texref) {
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cuda_pop_context();
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return;
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}
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if(interpolation != INTERPOLATION_NONE) {
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CUarray handle = NULL;
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CUDA_ARRAY_DESCRIPTOR desc;
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desc.Width = mem.data_width;
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desc.Height = mem.data_height;
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desc.Format = format;
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desc.NumChannels = mem.data_elements;
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cuda_assert(cuArrayCreate(&handle, &desc));
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if(!handle) {
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cuda_pop_context();
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return;
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}
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if(mem.data_height > 1) {
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CUDA_MEMCPY2D param;
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memset(¶m, 0, sizeof(param));
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param.dstMemoryType = CU_MEMORYTYPE_ARRAY;
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param.dstArray = handle;
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param.srcMemoryType = CU_MEMORYTYPE_HOST;
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param.srcHost = (void*)mem.data_pointer;
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param.srcPitch = mem.data_width*dsize*mem.data_elements;
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param.WidthInBytes = param.srcPitch;
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param.Height = mem.data_height;
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cuda_assert(cuMemcpy2D(¶m));
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}
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else
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cuda_assert(cuMemcpyHtoA(handle, 0, (void*)mem.data_pointer, size));
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cuda_assert(cuTexRefSetArray(texref, handle, CU_TRSA_OVERRIDE_FORMAT));
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if(interpolation == INTERPOLATION_CLOSEST) {
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cuda_assert(cuTexRefSetFilterMode(texref, CU_TR_FILTER_MODE_POINT));
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}
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else if(interpolation == INTERPOLATION_LINEAR) {
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cuda_assert(cuTexRefSetFilterMode(texref, CU_TR_FILTER_MODE_LINEAR));
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}
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else {/* CUBIC and SMART are unsupported for CUDA */
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cuda_assert(cuTexRefSetFilterMode(texref, CU_TR_FILTER_MODE_LINEAR));
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}
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cuda_assert(cuTexRefSetFlags(texref, CU_TRSF_NORMALIZED_COORDINATES));
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mem.device_pointer = (device_ptr)handle;
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mem.device_size = size;
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stats.mem_alloc(size);
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}
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else {
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cuda_pop_context();
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mem_alloc(mem, MEM_READ_ONLY);
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mem_copy_to(mem);
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cuda_push_context();
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cuda_assert(cuTexRefSetAddress(NULL, texref, cuda_device_ptr(mem.device_pointer), size));
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cuda_assert(cuTexRefSetFilterMode(texref, CU_TR_FILTER_MODE_POINT));
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cuda_assert(cuTexRefSetFlags(texref, CU_TRSF_READ_AS_INTEGER));
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}
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if(periodic) {
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cuda_assert(cuTexRefSetAddressMode(texref, 0, CU_TR_ADDRESS_MODE_WRAP));
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cuda_assert(cuTexRefSetAddressMode(texref, 1, CU_TR_ADDRESS_MODE_WRAP));
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}
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else {
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cuda_assert(cuTexRefSetAddressMode(texref, 0, CU_TR_ADDRESS_MODE_CLAMP));
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cuda_assert(cuTexRefSetAddressMode(texref, 1, CU_TR_ADDRESS_MODE_CLAMP));
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}
|
|
cuda_assert(cuTexRefSetFormat(texref, format, mem.data_elements));
|
|
|
|
cuda_pop_context();
|
|
}
|
|
else {
|
|
mem_alloc(mem, MEM_READ_ONLY);
|
|
mem_copy_to(mem);
|
|
|
|
cuda_push_context();
|
|
|
|
CUdeviceptr cumem;
|
|
size_t cubytes;
|
|
|
|
cuda_assert(cuModuleGetGlobal(&cumem, &cubytes, cuModule, name));
|
|
|
|
if(cubytes == 8) {
|
|
/* 64 bit device pointer */
|
|
uint64_t ptr = mem.device_pointer;
|
|
cuda_assert(cuMemcpyHtoD(cumem, (void*)&ptr, cubytes));
|
|
}
|
|
else {
|
|
/* 32 bit device pointer */
|
|
uint32_t ptr = (uint32_t)mem.device_pointer;
|
|
cuda_assert(cuMemcpyHtoD(cumem, (void*)&ptr, cubytes));
|
|
}
|
|
|
|
cuda_pop_context();
|
|
}
|
|
|
|
tex_interp_map[mem.device_pointer] = (interpolation != INTERPOLATION_NONE);
|
|
}
|
|
|
|
void tex_free(device_memory& mem)
|
|
{
|
|
if(mem.device_pointer) {
|
|
if(tex_interp_map[mem.device_pointer]) {
|
|
cuda_push_context();
|
|
cuArrayDestroy((CUarray)mem.device_pointer);
|
|
cuda_pop_context();
|
|
|
|
tex_interp_map.erase(tex_interp_map.find(mem.device_pointer));
|
|
mem.device_pointer = 0;
|
|
|
|
stats.mem_free(mem.device_size);
|
|
mem.device_size = 0;
|
|
}
|
|
else {
|
|
tex_interp_map.erase(tex_interp_map.find(mem.device_pointer));
|
|
mem_free(mem);
|
|
}
|
|
}
|
|
}
|
|
|
|
void path_trace(RenderTile& rtile, int sample, bool branched)
|
|
{
|
|
if(have_error())
|
|
return;
|
|
|
|
cuda_push_context();
|
|
|
|
CUfunction cuPathTrace;
|
|
CUdeviceptr d_buffer = cuda_device_ptr(rtile.buffer);
|
|
CUdeviceptr d_rng_state = cuda_device_ptr(rtile.rng_state);
|
|
|
|
/* get kernel function */
|
|
if(branched) {
|
|
cuda_assert(cuModuleGetFunction(&cuPathTrace, cuModule, "kernel_cuda_branched_path_trace"));
|
|
}
|
|
else {
|
|
cuda_assert(cuModuleGetFunction(&cuPathTrace, cuModule, "kernel_cuda_path_trace"));
|
|
}
|
|
|
|
if(have_error())
|
|
return;
|
|
|
|
/* pass in parameters */
|
|
void *args[] = {&d_buffer,
|
|
&d_rng_state,
|
|
&sample,
|
|
&rtile.x,
|
|
&rtile.y,
|
|
&rtile.w,
|
|
&rtile.h,
|
|
&rtile.offset,
|
|
&rtile.stride};
|
|
|
|
/* launch kernel */
|
|
int threads_per_block;
|
|
cuda_assert(cuFuncGetAttribute(&threads_per_block, CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK, cuPathTrace));
|
|
|
|
/*int num_registers;
|
|
cuda_assert(cuFuncGetAttribute(&num_registers, CU_FUNC_ATTRIBUTE_NUM_REGS, cuPathTrace));
|
|
|
|
printf("threads_per_block %d\n", threads_per_block);
|
|
printf("num_registers %d\n", num_registers);*/
|
|
|
|
int xthreads = (int)sqrt((float)threads_per_block);
|
|
int ythreads = (int)sqrt((float)threads_per_block);
|
|
int xblocks = (rtile.w + xthreads - 1)/xthreads;
|
|
int yblocks = (rtile.h + ythreads - 1)/ythreads;
|
|
|
|
cuda_assert(cuFuncSetCacheConfig(cuPathTrace, CU_FUNC_CACHE_PREFER_L1));
|
|
|
|
cuda_assert(cuLaunchKernel(cuPathTrace,
|
|
xblocks , yblocks, 1, /* blocks */
|
|
xthreads, ythreads, 1, /* threads */
|
|
0, 0, args, 0));
|
|
|
|
cuda_assert(cuCtxSynchronize());
|
|
|
|
cuda_pop_context();
|
|
}
|
|
|
|
void film_convert(DeviceTask& task, device_ptr buffer, device_ptr rgba_byte, device_ptr rgba_half)
|
|
{
|
|
if(have_error())
|
|
return;
|
|
|
|
cuda_push_context();
|
|
|
|
CUfunction cuFilmConvert;
|
|
CUdeviceptr d_rgba = map_pixels((rgba_byte)? rgba_byte: rgba_half);
|
|
CUdeviceptr d_buffer = cuda_device_ptr(buffer);
|
|
|
|
/* get kernel function */
|
|
if(rgba_half) {
|
|
cuda_assert(cuModuleGetFunction(&cuFilmConvert, cuModule, "kernel_cuda_convert_to_half_float"));
|
|
}
|
|
else {
|
|
cuda_assert(cuModuleGetFunction(&cuFilmConvert, cuModule, "kernel_cuda_convert_to_byte"));
|
|
}
|
|
|
|
|
|
float sample_scale = 1.0f/(task.sample + 1);
|
|
|
|
/* pass in parameters */
|
|
void *args[] = {&d_rgba,
|
|
&d_buffer,
|
|
&sample_scale,
|
|
&task.x,
|
|
&task.y,
|
|
&task.w,
|
|
&task.h,
|
|
&task.offset,
|
|
&task.stride};
|
|
|
|
/* launch kernel */
|
|
int threads_per_block;
|
|
cuda_assert(cuFuncGetAttribute(&threads_per_block, CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK, cuFilmConvert));
|
|
|
|
int xthreads = (int)sqrt((float)threads_per_block);
|
|
int ythreads = (int)sqrt((float)threads_per_block);
|
|
int xblocks = (task.w + xthreads - 1)/xthreads;
|
|
int yblocks = (task.h + ythreads - 1)/ythreads;
|
|
|
|
cuda_assert(cuFuncSetCacheConfig(cuFilmConvert, CU_FUNC_CACHE_PREFER_L1));
|
|
|
|
cuda_assert(cuLaunchKernel(cuFilmConvert,
|
|
xblocks , yblocks, 1, /* blocks */
|
|
xthreads, ythreads, 1, /* threads */
|
|
0, 0, args, 0));
|
|
|
|
unmap_pixels((rgba_byte)? rgba_byte: rgba_half);
|
|
|
|
cuda_pop_context();
|
|
}
|
|
|
|
void shader(DeviceTask& task)
|
|
{
|
|
if(have_error())
|
|
return;
|
|
|
|
cuda_push_context();
|
|
|
|
CUfunction cuShader;
|
|
CUdeviceptr d_input = cuda_device_ptr(task.shader_input);
|
|
CUdeviceptr d_output = cuda_device_ptr(task.shader_output);
|
|
|
|
/* get kernel function */
|
|
if(task.shader_eval_type >= SHADER_EVAL_BAKE) {
|
|
cuda_assert(cuModuleGetFunction(&cuShader, cuModule, "kernel_cuda_bake"));
|
|
}
|
|
else {
|
|
cuda_assert(cuModuleGetFunction(&cuShader, cuModule, "kernel_cuda_shader"));
|
|
}
|
|
|
|
/* do tasks in smaller chunks, so we can cancel it */
|
|
const int shader_chunk_size = 65536;
|
|
const int start = task.shader_x;
|
|
const int end = task.shader_x + task.shader_w;
|
|
int offset = task.offset;
|
|
|
|
bool canceled = false;
|
|
for(int sample = 0; sample < task.num_samples && !canceled; sample++) {
|
|
for(int shader_x = start; shader_x < end; shader_x += shader_chunk_size) {
|
|
int shader_w = min(shader_chunk_size, end - shader_x);
|
|
|
|
/* pass in parameters */
|
|
void *args[] = {&d_input,
|
|
&d_output,
|
|
&task.shader_eval_type,
|
|
&shader_x,
|
|
&shader_w,
|
|
&offset,
|
|
&sample};
|
|
|
|
/* launch kernel */
|
|
int threads_per_block;
|
|
cuda_assert(cuFuncGetAttribute(&threads_per_block, CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK, cuShader));
|
|
|
|
int xblocks = (shader_w + threads_per_block - 1)/threads_per_block;
|
|
|
|
cuda_assert(cuFuncSetCacheConfig(cuShader, CU_FUNC_CACHE_PREFER_L1));
|
|
cuda_assert(cuLaunchKernel(cuShader,
|
|
xblocks , 1, 1, /* blocks */
|
|
threads_per_block, 1, 1, /* threads */
|
|
0, 0, args, 0));
|
|
|
|
cuda_assert(cuCtxSynchronize());
|
|
|
|
if(task.get_cancel()) {
|
|
canceled = false;
|
|
break;
|
|
}
|
|
}
|
|
|
|
task.update_progress(NULL);
|
|
}
|
|
|
|
cuda_pop_context();
|
|
}
|
|
|
|
CUdeviceptr map_pixels(device_ptr mem)
|
|
{
|
|
if(!background) {
|
|
PixelMem pmem = pixel_mem_map[mem];
|
|
CUdeviceptr buffer;
|
|
|
|
size_t bytes;
|
|
cuda_assert(cuGraphicsMapResources(1, &pmem.cuPBOresource, 0));
|
|
cuda_assert(cuGraphicsResourceGetMappedPointer(&buffer, &bytes, pmem.cuPBOresource));
|
|
|
|
return buffer;
|
|
}
|
|
|
|
return cuda_device_ptr(mem);
|
|
}
|
|
|
|
void unmap_pixels(device_ptr mem)
|
|
{
|
|
if(!background) {
|
|
PixelMem pmem = pixel_mem_map[mem];
|
|
|
|
cuda_assert(cuGraphicsUnmapResources(1, &pmem.cuPBOresource, 0));
|
|
}
|
|
}
|
|
|
|
void pixels_alloc(device_memory& mem)
|
|
{
|
|
if(!background) {
|
|
PixelMem pmem;
|
|
|
|
pmem.w = mem.data_width;
|
|
pmem.h = mem.data_height;
|
|
|
|
cuda_push_context();
|
|
|
|
glGenBuffers(1, &pmem.cuPBO);
|
|
glBindBuffer(GL_PIXEL_UNPACK_BUFFER, pmem.cuPBO);
|
|
if(mem.data_type == TYPE_HALF)
|
|
glBufferData(GL_PIXEL_UNPACK_BUFFER, pmem.w*pmem.h*sizeof(GLhalf)*4, NULL, GL_DYNAMIC_DRAW);
|
|
else
|
|
glBufferData(GL_PIXEL_UNPACK_BUFFER, pmem.w*pmem.h*sizeof(uint8_t)*4, NULL, GL_DYNAMIC_DRAW);
|
|
|
|
glBindBuffer(GL_PIXEL_UNPACK_BUFFER, 0);
|
|
|
|
glGenTextures(1, &pmem.cuTexId);
|
|
glBindTexture(GL_TEXTURE_2D, pmem.cuTexId);
|
|
if(mem.data_type == TYPE_HALF)
|
|
glTexImage2D(GL_TEXTURE_2D, 0, GL_RGBA16F_ARB, pmem.w, pmem.h, 0, GL_RGBA, GL_HALF_FLOAT, NULL);
|
|
else
|
|
glTexImage2D(GL_TEXTURE_2D, 0, GL_RGBA, pmem.w, pmem.h, 0, GL_RGBA, GL_UNSIGNED_BYTE, NULL);
|
|
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MIN_FILTER, GL_NEAREST);
|
|
glTexParameteri(GL_TEXTURE_2D, GL_TEXTURE_MAG_FILTER, GL_NEAREST);
|
|
glBindTexture(GL_TEXTURE_2D, 0);
|
|
|
|
CUresult result = cuGraphicsGLRegisterBuffer(&pmem.cuPBOresource, pmem.cuPBO, CU_GRAPHICS_MAP_RESOURCE_FLAGS_NONE);
|
|
|
|
if(result == CUDA_SUCCESS) {
|
|
cuda_pop_context();
|
|
|
|
mem.device_pointer = pmem.cuTexId;
|
|
pixel_mem_map[mem.device_pointer] = pmem;
|
|
|
|
mem.device_size = mem.memory_size();
|
|
stats.mem_alloc(mem.device_size);
|
|
|
|
return;
|
|
}
|
|
else {
|
|
/* failed to register buffer, fallback to no interop */
|
|
glDeleteBuffers(1, &pmem.cuPBO);
|
|
glDeleteTextures(1, &pmem.cuTexId);
|
|
|
|
cuda_pop_context();
|
|
|
|
background = true;
|
|
}
|
|
}
|
|
|
|
Device::pixels_alloc(mem);
|
|
}
|
|
|
|
void pixels_copy_from(device_memory& mem, int y, int w, int h)
|
|
{
|
|
if(!background) {
|
|
PixelMem pmem = pixel_mem_map[mem.device_pointer];
|
|
|
|
cuda_push_context();
|
|
|
|
glBindBuffer(GL_PIXEL_UNPACK_BUFFER, pmem.cuPBO);
|
|
uchar *pixels = (uchar*)glMapBuffer(GL_PIXEL_UNPACK_BUFFER, GL_READ_ONLY);
|
|
size_t offset = sizeof(uchar)*4*y*w;
|
|
memcpy((uchar*)mem.data_pointer + offset, pixels + offset, sizeof(uchar)*4*w*h);
|
|
glUnmapBuffer(GL_PIXEL_UNPACK_BUFFER);
|
|
glBindBuffer(GL_PIXEL_UNPACK_BUFFER, 0);
|
|
|
|
cuda_pop_context();
|
|
|
|
return;
|
|
}
|
|
|
|
Device::pixels_copy_from(mem, y, w, h);
|
|
}
|
|
|
|
void pixels_free(device_memory& mem)
|
|
{
|
|
if(mem.device_pointer) {
|
|
if(!background) {
|
|
PixelMem pmem = pixel_mem_map[mem.device_pointer];
|
|
|
|
cuda_push_context();
|
|
|
|
cuda_assert(cuGraphicsUnregisterResource(pmem.cuPBOresource));
|
|
glDeleteBuffers(1, &pmem.cuPBO);
|
|
glDeleteTextures(1, &pmem.cuTexId);
|
|
|
|
cuda_pop_context();
|
|
|
|
pixel_mem_map.erase(pixel_mem_map.find(mem.device_pointer));
|
|
mem.device_pointer = 0;
|
|
|
|
stats.mem_free(mem.device_size);
|
|
mem.device_size = 0;
|
|
|
|
return;
|
|
}
|
|
|
|
Device::pixels_free(mem);
|
|
}
|
|
}
|
|
|
|
void draw_pixels(device_memory& mem, int y, int w, int h, int dy, int width, int height, bool transparent,
|
|
const DeviceDrawParams &draw_params)
|
|
{
|
|
if(!background) {
|
|
PixelMem pmem = pixel_mem_map[mem.device_pointer];
|
|
|
|
cuda_push_context();
|
|
|
|
/* for multi devices, this assumes the inefficient method that we allocate
|
|
* all pixels on the device even though we only render to a subset */
|
|
size_t offset = 4*y*w;
|
|
|
|
if(mem.data_type == TYPE_HALF)
|
|
offset *= sizeof(GLhalf);
|
|
else
|
|
offset *= sizeof(uint8_t);
|
|
|
|
glBindBufferARB(GL_PIXEL_UNPACK_BUFFER_ARB, pmem.cuPBO);
|
|
glBindTexture(GL_TEXTURE_2D, pmem.cuTexId);
|
|
if(mem.data_type == TYPE_HALF)
|
|
glTexSubImage2D(GL_TEXTURE_2D, 0, 0, 0, w, h, GL_RGBA, GL_HALF_FLOAT, (void*)offset);
|
|
else
|
|
glTexSubImage2D(GL_TEXTURE_2D, 0, 0, 0, w, h, GL_RGBA, GL_UNSIGNED_BYTE, (void*)offset);
|
|
glBindBufferARB(GL_PIXEL_UNPACK_BUFFER_ARB, 0);
|
|
|
|
glEnable(GL_TEXTURE_2D);
|
|
|
|
if(transparent) {
|
|
glEnable(GL_BLEND);
|
|
glBlendFunc(GL_ONE, GL_ONE_MINUS_SRC_ALPHA);
|
|
}
|
|
|
|
glColor3f(1.0f, 1.0f, 1.0f);
|
|
|
|
if(draw_params.bind_display_space_shader_cb) {
|
|
draw_params.bind_display_space_shader_cb();
|
|
}
|
|
|
|
glPushMatrix();
|
|
glTranslatef(0.0f, (float)dy, 0.0f);
|
|
|
|
glBegin(GL_QUADS);
|
|
|
|
glTexCoord2f(0.0f, 0.0f);
|
|
glVertex2f(0.0f, 0.0f);
|
|
glTexCoord2f((float)w/(float)pmem.w, 0.0f);
|
|
glVertex2f((float)width, 0.0f);
|
|
glTexCoord2f((float)w/(float)pmem.w, (float)h/(float)pmem.h);
|
|
glVertex2f((float)width, (float)height);
|
|
glTexCoord2f(0.0f, (float)h/(float)pmem.h);
|
|
glVertex2f(0.0f, (float)height);
|
|
|
|
glEnd();
|
|
|
|
glPopMatrix();
|
|
|
|
if(draw_params.unbind_display_space_shader_cb) {
|
|
draw_params.unbind_display_space_shader_cb();
|
|
}
|
|
|
|
if(transparent)
|
|
glDisable(GL_BLEND);
|
|
|
|
glBindTexture(GL_TEXTURE_2D, 0);
|
|
glDisable(GL_TEXTURE_2D);
|
|
|
|
cuda_pop_context();
|
|
|
|
return;
|
|
}
|
|
|
|
Device::draw_pixels(mem, y, w, h, dy, width, height, transparent, draw_params);
|
|
}
|
|
|
|
void thread_run(DeviceTask *task)
|
|
{
|
|
if(task->type == DeviceTask::PATH_TRACE) {
|
|
RenderTile tile;
|
|
|
|
bool branched = task->integrator_branched;
|
|
|
|
/* keep rendering tiles until done */
|
|
while(task->acquire_tile(this, tile)) {
|
|
int start_sample = tile.start_sample;
|
|
int end_sample = tile.start_sample + tile.num_samples;
|
|
|
|
for(int sample = start_sample; sample < end_sample; sample++) {
|
|
if(task->get_cancel()) {
|
|
if(task->need_finish_queue == false)
|
|
break;
|
|
}
|
|
|
|
path_trace(tile, sample, branched);
|
|
|
|
tile.sample = sample + 1;
|
|
|
|
task->update_progress(&tile);
|
|
}
|
|
|
|
task->release_tile(tile);
|
|
}
|
|
}
|
|
else if(task->type == DeviceTask::SHADER) {
|
|
shader(*task);
|
|
|
|
cuda_push_context();
|
|
cuda_assert(cuCtxSynchronize());
|
|
cuda_pop_context();
|
|
}
|
|
}
|
|
|
|
class CUDADeviceTask : public DeviceTask {
|
|
public:
|
|
CUDADeviceTask(CUDADevice *device, DeviceTask& task)
|
|
: DeviceTask(task)
|
|
{
|
|
run = function_bind(&CUDADevice::thread_run, device, this);
|
|
}
|
|
};
|
|
|
|
int get_split_task_count(DeviceTask& /*task*/)
|
|
{
|
|
return 1;
|
|
}
|
|
|
|
void task_add(DeviceTask& task)
|
|
{
|
|
if(task.type == DeviceTask::FILM_CONVERT) {
|
|
/* must be done in main thread due to opengl access */
|
|
film_convert(task, task.buffer, task.rgba_byte, task.rgba_half);
|
|
|
|
cuda_push_context();
|
|
cuda_assert(cuCtxSynchronize());
|
|
cuda_pop_context();
|
|
}
|
|
else {
|
|
task_pool.push(new CUDADeviceTask(this, task));
|
|
}
|
|
}
|
|
|
|
void task_wait()
|
|
{
|
|
task_pool.wait();
|
|
}
|
|
|
|
void task_cancel()
|
|
{
|
|
task_pool.cancel();
|
|
}
|
|
};
|
|
|
|
bool device_cuda_init(void)
|
|
{
|
|
static bool initialized = false;
|
|
static bool result = false;
|
|
|
|
if(initialized)
|
|
return result;
|
|
|
|
initialized = true;
|
|
int cuew_result = cuewInit();
|
|
if(cuew_result == CUEW_SUCCESS) {
|
|
VLOG(1) << "CUEW initialization succeeded";
|
|
if(CUDADevice::have_precompiled_kernels()) {
|
|
VLOG(1) << "Found precompiled kernels";
|
|
result = true;
|
|
}
|
|
#ifndef _WIN32
|
|
else if(cuewCompilerPath() != NULL) {
|
|
VLOG(1) << "Found CUDA compiled " << cuewCompilerPath();
|
|
result = true;
|
|
}
|
|
else {
|
|
VLOG(1) << "Neither precompiled kernels nor CUDA compiler wad found,"
|
|
<< " unable to use CUDA";
|
|
}
|
|
#endif
|
|
}
|
|
else {
|
|
VLOG(1) << "CUEW initialization failed: "
|
|
<< ((cuew_result == CUEW_ERROR_ATEXIT_FAILED)
|
|
? "Error setting up atexit() handler"
|
|
: "Error opening the library");
|
|
}
|
|
|
|
return result;
|
|
}
|
|
|
|
Device *device_cuda_create(DeviceInfo& info, Stats &stats, bool background)
|
|
{
|
|
return new CUDADevice(info, stats, background);
|
|
}
|
|
|
|
void device_cuda_info(vector<DeviceInfo>& devices)
|
|
{
|
|
CUresult result;
|
|
int count = 0;
|
|
|
|
result = cuInit(0);
|
|
if(result != CUDA_SUCCESS) {
|
|
if(result != CUDA_ERROR_NO_DEVICE)
|
|
fprintf(stderr, "CUDA cuInit: %s\n", cuewErrorString(result));
|
|
return;
|
|
}
|
|
|
|
result = cuDeviceGetCount(&count);
|
|
if(result != CUDA_SUCCESS) {
|
|
fprintf(stderr, "CUDA cuDeviceGetCount: %s\n", cuewErrorString(result));
|
|
return;
|
|
}
|
|
|
|
vector<DeviceInfo> display_devices;
|
|
|
|
for(int num = 0; num < count; num++) {
|
|
char name[256];
|
|
int attr;
|
|
|
|
if(cuDeviceGetName(name, 256, num) != CUDA_SUCCESS)
|
|
continue;
|
|
|
|
DeviceInfo info;
|
|
|
|
info.type = DEVICE_CUDA;
|
|
info.description = string(name);
|
|
info.id = string_printf("CUDA_%d", num);
|
|
info.num = num;
|
|
|
|
int major, minor;
|
|
cuDeviceComputeCapability(&major, &minor, num);
|
|
info.advanced_shading = (major >= 2);
|
|
info.extended_images = (major >= 3);
|
|
info.pack_images = false;
|
|
|
|
/* if device has a kernel timeout, assume it is used for display */
|
|
if(cuDeviceGetAttribute(&attr, CU_DEVICE_ATTRIBUTE_KERNEL_EXEC_TIMEOUT, num) == CUDA_SUCCESS && attr == 1) {
|
|
info.display_device = true;
|
|
display_devices.push_back(info);
|
|
}
|
|
else
|
|
devices.push_back(info);
|
|
}
|
|
|
|
if(!display_devices.empty())
|
|
devices.insert(devices.end(), display_devices.begin(), display_devices.end());
|
|
}
|
|
|
|
string device_cuda_capabilities(void)
|
|
{
|
|
CUresult result = cuInit(0);
|
|
if(result != CUDA_SUCCESS) {
|
|
if(result != CUDA_ERROR_NO_DEVICE) {
|
|
return string("Error initializing CUDA: ") + cuewErrorString(result);
|
|
}
|
|
return "No CUDA device found";
|
|
}
|
|
|
|
int count;
|
|
result = cuDeviceGetCount(&count);
|
|
if(result != CUDA_SUCCESS) {
|
|
return string("Error getting devices: ") + cuewErrorString(result);
|
|
}
|
|
|
|
string capabilities = "";
|
|
for(int num = 0; num < count; num++) {
|
|
char name[256];
|
|
if(cuDeviceGetName(name, 256, num) != CUDA_SUCCESS) {
|
|
continue;
|
|
}
|
|
capabilities += string("\t") + name + "\n";
|
|
int value;
|
|
#define GET_ATTR(attr) \
|
|
{ \
|
|
if(cuDeviceGetAttribute(&value, \
|
|
CU_DEVICE_ATTRIBUTE_##attr, \
|
|
num) == CUDA_SUCCESS) \
|
|
{ \
|
|
capabilities += string_printf("\t\tCU_DEVICE_ATTRIBUTE_" #attr "\t\t\t%d\n", \
|
|
value); \
|
|
} \
|
|
} (void)0
|
|
/* TODO(sergey): Strip all attributes which are not useful for us
|
|
* or does not depend on the driver.
|
|
*/
|
|
GET_ATTR(MAX_THREADS_PER_BLOCK);
|
|
GET_ATTR(MAX_BLOCK_DIM_X);
|
|
GET_ATTR(MAX_BLOCK_DIM_Y);
|
|
GET_ATTR(MAX_BLOCK_DIM_Z);
|
|
GET_ATTR(MAX_GRID_DIM_X);
|
|
GET_ATTR(MAX_GRID_DIM_Y);
|
|
GET_ATTR(MAX_GRID_DIM_Z);
|
|
GET_ATTR(MAX_SHARED_MEMORY_PER_BLOCK);
|
|
GET_ATTR(SHARED_MEMORY_PER_BLOCK);
|
|
GET_ATTR(TOTAL_CONSTANT_MEMORY);
|
|
GET_ATTR(WARP_SIZE);
|
|
GET_ATTR(MAX_PITCH);
|
|
GET_ATTR(MAX_REGISTERS_PER_BLOCK);
|
|
GET_ATTR(REGISTERS_PER_BLOCK);
|
|
GET_ATTR(CLOCK_RATE);
|
|
GET_ATTR(TEXTURE_ALIGNMENT);
|
|
GET_ATTR(GPU_OVERLAP);
|
|
GET_ATTR(MULTIPROCESSOR_COUNT);
|
|
GET_ATTR(KERNEL_EXEC_TIMEOUT);
|
|
GET_ATTR(INTEGRATED);
|
|
GET_ATTR(CAN_MAP_HOST_MEMORY);
|
|
GET_ATTR(COMPUTE_MODE);
|
|
GET_ATTR(MAXIMUM_TEXTURE1D_WIDTH);
|
|
GET_ATTR(MAXIMUM_TEXTURE2D_WIDTH);
|
|
GET_ATTR(MAXIMUM_TEXTURE2D_HEIGHT);
|
|
GET_ATTR(MAXIMUM_TEXTURE3D_WIDTH);
|
|
GET_ATTR(MAXIMUM_TEXTURE3D_HEIGHT);
|
|
GET_ATTR(MAXIMUM_TEXTURE3D_DEPTH);
|
|
GET_ATTR(MAXIMUM_TEXTURE2D_LAYERED_WIDTH);
|
|
GET_ATTR(MAXIMUM_TEXTURE2D_LAYERED_HEIGHT);
|
|
GET_ATTR(MAXIMUM_TEXTURE2D_LAYERED_LAYERS);
|
|
GET_ATTR(MAXIMUM_TEXTURE2D_ARRAY_WIDTH);
|
|
GET_ATTR(MAXIMUM_TEXTURE2D_ARRAY_HEIGHT);
|
|
GET_ATTR(MAXIMUM_TEXTURE2D_ARRAY_NUMSLICES);
|
|
GET_ATTR(SURFACE_ALIGNMENT);
|
|
GET_ATTR(CONCURRENT_KERNELS);
|
|
GET_ATTR(ECC_ENABLED);
|
|
GET_ATTR(TCC_DRIVER);
|
|
GET_ATTR(MEMORY_CLOCK_RATE);
|
|
GET_ATTR(GLOBAL_MEMORY_BUS_WIDTH);
|
|
GET_ATTR(L2_CACHE_SIZE);
|
|
GET_ATTR(MAX_THREADS_PER_MULTIPROCESSOR);
|
|
GET_ATTR(ASYNC_ENGINE_COUNT);
|
|
GET_ATTR(UNIFIED_ADDRESSING);
|
|
GET_ATTR(MAXIMUM_TEXTURE1D_LAYERED_WIDTH);
|
|
GET_ATTR(MAXIMUM_TEXTURE1D_LAYERED_LAYERS);
|
|
GET_ATTR(CAN_TEX2D_GATHER);
|
|
GET_ATTR(MAXIMUM_TEXTURE2D_GATHER_WIDTH);
|
|
GET_ATTR(MAXIMUM_TEXTURE2D_GATHER_HEIGHT);
|
|
GET_ATTR(MAXIMUM_TEXTURE3D_WIDTH_ALTERNATE);
|
|
GET_ATTR(MAXIMUM_TEXTURE3D_HEIGHT_ALTERNATE);
|
|
GET_ATTR(MAXIMUM_TEXTURE3D_DEPTH_ALTERNATE);
|
|
GET_ATTR(TEXTURE_PITCH_ALIGNMENT);
|
|
GET_ATTR(MAXIMUM_TEXTURECUBEMAP_WIDTH);
|
|
GET_ATTR(MAXIMUM_TEXTURECUBEMAP_LAYERED_WIDTH);
|
|
GET_ATTR(MAXIMUM_TEXTURECUBEMAP_LAYERED_LAYERS);
|
|
GET_ATTR(MAXIMUM_SURFACE1D_WIDTH);
|
|
GET_ATTR(MAXIMUM_SURFACE2D_WIDTH);
|
|
GET_ATTR(MAXIMUM_SURFACE2D_HEIGHT);
|
|
GET_ATTR(MAXIMUM_SURFACE3D_WIDTH);
|
|
GET_ATTR(MAXIMUM_SURFACE3D_HEIGHT);
|
|
GET_ATTR(MAXIMUM_SURFACE3D_DEPTH);
|
|
GET_ATTR(MAXIMUM_SURFACE1D_LAYERED_WIDTH);
|
|
GET_ATTR(MAXIMUM_SURFACE1D_LAYERED_LAYERS);
|
|
GET_ATTR(MAXIMUM_SURFACE2D_LAYERED_WIDTH);
|
|
GET_ATTR(MAXIMUM_SURFACE2D_LAYERED_HEIGHT);
|
|
GET_ATTR(MAXIMUM_SURFACE2D_LAYERED_LAYERS);
|
|
GET_ATTR(MAXIMUM_SURFACECUBEMAP_WIDTH);
|
|
GET_ATTR(MAXIMUM_SURFACECUBEMAP_LAYERED_WIDTH);
|
|
GET_ATTR(MAXIMUM_SURFACECUBEMAP_LAYERED_LAYERS);
|
|
GET_ATTR(MAXIMUM_TEXTURE1D_LINEAR_WIDTH);
|
|
GET_ATTR(MAXIMUM_TEXTURE2D_LINEAR_WIDTH);
|
|
GET_ATTR(MAXIMUM_TEXTURE2D_LINEAR_HEIGHT);
|
|
GET_ATTR(MAXIMUM_TEXTURE2D_LINEAR_PITCH);
|
|
GET_ATTR(MAXIMUM_TEXTURE2D_MIPMAPPED_WIDTH);
|
|
GET_ATTR(MAXIMUM_TEXTURE2D_MIPMAPPED_HEIGHT);
|
|
GET_ATTR(COMPUTE_CAPABILITY_MAJOR);
|
|
GET_ATTR(COMPUTE_CAPABILITY_MINOR);
|
|
GET_ATTR(MAXIMUM_TEXTURE1D_MIPMAPPED_WIDTH);
|
|
GET_ATTR(STREAM_PRIORITIES_SUPPORTED);
|
|
GET_ATTR(GLOBAL_L1_CACHE_SUPPORTED);
|
|
GET_ATTR(LOCAL_L1_CACHE_SUPPORTED);
|
|
GET_ATTR(MAX_SHARED_MEMORY_PER_MULTIPROCESSOR);
|
|
GET_ATTR(MAX_REGISTERS_PER_MULTIPROCESSOR);
|
|
GET_ATTR(MANAGED_MEMORY);
|
|
GET_ATTR(MULTI_GPU_BOARD);
|
|
GET_ATTR(MULTI_GPU_BOARD_GROUP_ID);
|
|
#undef GET_ATTR
|
|
capabilities += "\n";
|
|
}
|
|
|
|
return capabilities;
|
|
}
|
|
|
|
CCL_NAMESPACE_END
|