When verbose level 4 is enabled, Blender prints kernel performance data for Cycles on GPU backends (except Metal that doesn't use debug_enqueue_* methods) for groups of kernels. These changes introduce a new CYCLES_DEBUG_PER_KERNEL_PERFORMANCE environment variable to allow getting timings for each kernels separately and not grouped with others. This is done by adding explicit synchronization after each kernel execution. Differential Revision: https://developer.blender.org/D15971
223 lines
6.2 KiB
C++
223 lines
6.2 KiB
C++
/* SPDX-License-Identifier: Apache-2.0
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* Copyright 2011-2022 Blender Foundation */
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#ifdef WITH_HIP
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# include "device/hip/queue.h"
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# include "device/hip/device_impl.h"
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# include "device/hip/graphics_interop.h"
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# include "device/hip/kernel.h"
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CCL_NAMESPACE_BEGIN
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/* HIPDeviceQueue */
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HIPDeviceQueue::HIPDeviceQueue(HIPDevice *device)
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: DeviceQueue(device), hip_device_(device), hip_stream_(nullptr)
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{
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const HIPContextScope scope(hip_device_);
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hip_device_assert(hip_device_, hipStreamCreateWithFlags(&hip_stream_, hipStreamNonBlocking));
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}
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HIPDeviceQueue::~HIPDeviceQueue()
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{
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const HIPContextScope scope(hip_device_);
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hipStreamDestroy(hip_stream_);
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}
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int HIPDeviceQueue::num_concurrent_states(const size_t state_size) const
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{
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const int max_num_threads = hip_device_->get_num_multiprocessors() *
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hip_device_->get_max_num_threads_per_multiprocessor();
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int num_states = ((max_num_threads == 0) ? 65536 : max_num_threads) * 16;
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const char *factor_str = getenv("CYCLES_CONCURRENT_STATES_FACTOR");
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if (factor_str) {
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const float factor = (float)atof(factor_str);
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if (factor != 0.0f) {
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num_states = max((int)(num_states * factor), 1024);
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}
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else {
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VLOG_DEVICE_STATS << "CYCLES_CONCURRENT_STATES_FACTOR evaluated to 0";
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}
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}
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VLOG_DEVICE_STATS << "GPU queue concurrent states: " << num_states << ", using up to "
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<< string_human_readable_size(num_states * state_size);
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return num_states;
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}
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int HIPDeviceQueue::num_concurrent_busy_states() const
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{
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const int max_num_threads = hip_device_->get_num_multiprocessors() *
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hip_device_->get_max_num_threads_per_multiprocessor();
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if (max_num_threads == 0) {
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return 65536;
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}
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return 4 * max_num_threads;
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}
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void HIPDeviceQueue::init_execution()
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{
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/* Synchronize all textures and memory copies before executing task. */
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HIPContextScope scope(hip_device_);
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hip_device_->load_texture_info();
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hip_device_assert(hip_device_, hipDeviceSynchronize());
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debug_init_execution();
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}
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bool HIPDeviceQueue::enqueue(DeviceKernel kernel,
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const int work_size,
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DeviceKernelArguments const &args)
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{
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if (hip_device_->have_error()) {
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return false;
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}
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debug_enqueue_begin(kernel, work_size);
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const HIPContextScope scope(hip_device_);
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const HIPDeviceKernel &hip_kernel = hip_device_->kernels.get(kernel);
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/* Compute kernel launch parameters. */
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const int num_threads_per_block = hip_kernel.num_threads_per_block;
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const int num_blocks = divide_up(work_size, num_threads_per_block);
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int shared_mem_bytes = 0;
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switch (kernel) {
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case DEVICE_KERNEL_INTEGRATOR_QUEUED_PATHS_ARRAY:
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case DEVICE_KERNEL_INTEGRATOR_QUEUED_SHADOW_PATHS_ARRAY:
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case DEVICE_KERNEL_INTEGRATOR_ACTIVE_PATHS_ARRAY:
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case DEVICE_KERNEL_INTEGRATOR_TERMINATED_PATHS_ARRAY:
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case DEVICE_KERNEL_INTEGRATOR_SORTED_PATHS_ARRAY:
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case DEVICE_KERNEL_INTEGRATOR_COMPACT_PATHS_ARRAY:
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case DEVICE_KERNEL_INTEGRATOR_TERMINATED_SHADOW_PATHS_ARRAY:
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case DEVICE_KERNEL_INTEGRATOR_COMPACT_SHADOW_PATHS_ARRAY:
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/* See parall_active_index.h for why this amount of shared memory is needed. */
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shared_mem_bytes = (num_threads_per_block + 1) * sizeof(int);
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break;
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default:
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break;
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}
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/* Launch kernel. */
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assert_success(hipModuleLaunchKernel(hip_kernel.function,
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num_blocks,
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1,
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1,
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num_threads_per_block,
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1,
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1,
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shared_mem_bytes,
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hip_stream_,
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const_cast<void **>(args.values),
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0),
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"enqueue");
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debug_enqueue_end();
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return !(hip_device_->have_error());
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}
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bool HIPDeviceQueue::synchronize()
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{
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if (hip_device_->have_error()) {
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return false;
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}
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const HIPContextScope scope(hip_device_);
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assert_success(hipStreamSynchronize(hip_stream_), "synchronize");
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debug_synchronize();
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return !(hip_device_->have_error());
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}
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void HIPDeviceQueue::zero_to_device(device_memory &mem)
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{
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assert(mem.type != MEM_GLOBAL && mem.type != MEM_TEXTURE);
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if (mem.memory_size() == 0) {
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return;
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}
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/* Allocate on demand. */
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if (mem.device_pointer == 0) {
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hip_device_->mem_alloc(mem);
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}
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/* Zero memory on device. */
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assert(mem.device_pointer != 0);
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const HIPContextScope scope(hip_device_);
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assert_success(
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hipMemsetD8Async((hipDeviceptr_t)mem.device_pointer, 0, mem.memory_size(), hip_stream_),
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"zero_to_device");
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}
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void HIPDeviceQueue::copy_to_device(device_memory &mem)
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{
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assert(mem.type != MEM_GLOBAL && mem.type != MEM_TEXTURE);
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if (mem.memory_size() == 0) {
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return;
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}
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/* Allocate on demand. */
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if (mem.device_pointer == 0) {
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hip_device_->mem_alloc(mem);
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}
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assert(mem.device_pointer != 0);
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assert(mem.host_pointer != nullptr);
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/* Copy memory to device. */
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const HIPContextScope scope(hip_device_);
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assert_success(
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hipMemcpyHtoDAsync(
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(hipDeviceptr_t)mem.device_pointer, mem.host_pointer, mem.memory_size(), hip_stream_),
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"copy_to_device");
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}
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void HIPDeviceQueue::copy_from_device(device_memory &mem)
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{
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assert(mem.type != MEM_GLOBAL && mem.type != MEM_TEXTURE);
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if (mem.memory_size() == 0) {
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return;
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}
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assert(mem.device_pointer != 0);
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assert(mem.host_pointer != nullptr);
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/* Copy memory from device. */
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const HIPContextScope scope(hip_device_);
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assert_success(
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hipMemcpyDtoHAsync(
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mem.host_pointer, (hipDeviceptr_t)mem.device_pointer, mem.memory_size(), hip_stream_),
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"copy_from_device");
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}
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void HIPDeviceQueue::assert_success(hipError_t result, const char *operation)
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{
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if (result != hipSuccess) {
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const char *name = hipewErrorString(result);
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hip_device_->set_error(
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string_printf("%s in HIP queue %s (%s)", name, operation, debug_active_kernels().c_str()));
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}
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}
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unique_ptr<DeviceGraphicsInterop> HIPDeviceQueue::graphics_interop_create()
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{
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return make_unique<HIPDeviceGraphicsInterop>(this);
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}
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CCL_NAMESPACE_END
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#endif /* WITH_HIP */
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