Files
test2/intern/cycles/device/oneapi/queue.cpp
Xavier Hallade cee4ad4518 Refactor: Cycles: oneAPI: Simplify num_concurrent_states()
Deduplicated code by reusing num_concurrent_busy_states().
2024-07-18 15:46:17 +02:00

141 lines
3.8 KiB
C++

/* SPDX-FileCopyrightText: 2021-2022 Intel Corporation
*
* SPDX-License-Identifier: Apache-2.0 */
#ifdef WITH_ONEAPI
# include "device/oneapi/queue.h"
# include "device/oneapi/device_impl.h"
# include "util/log.h"
# include "util/time.h"
# include <iomanip>
# include <vector>
# include "kernel/device/oneapi/kernel.h"
CCL_NAMESPACE_BEGIN
struct KernelExecutionInfo {
double elapsed_summary = 0.0;
int enqueue_count = 0;
};
/* OneapiDeviceQueue */
OneapiDeviceQueue::OneapiDeviceQueue(OneapiDevice *device)
: DeviceQueue(device), oneapi_device_(device), kernel_context_(nullptr)
{
}
OneapiDeviceQueue::~OneapiDeviceQueue()
{
delete kernel_context_;
}
int OneapiDeviceQueue::num_concurrent_states(const size_t state_size) const
{
int num_states = 4 * num_concurrent_busy_states(state_size);
VLOG_DEVICE_STATS << "GPU queue concurrent states: " << num_states << ", using up to "
<< string_human_readable_size(num_states * state_size);
return num_states;
}
int OneapiDeviceQueue::num_concurrent_busy_states(const size_t /*state_size*/) const
{
const int max_num_threads = oneapi_device_->get_num_multiprocessors() *
oneapi_device_->get_max_num_threads_per_multiprocessor();
return 4 * max(8 * max_num_threads, 65536);
}
int OneapiDeviceQueue::num_sort_partition_elements() const
{
return (oneapi_device_->get_max_num_threads_per_multiprocessor() >= 128) ? 65536 : 8192;
}
void OneapiDeviceQueue::init_execution()
{
oneapi_device_->load_texture_info();
SyclQueue *device_queue = oneapi_device_->sycl_queue();
void *kg_dptr = (void *)oneapi_device_->kernel_globals_device_pointer();
assert(device_queue);
assert(kg_dptr);
kernel_context_ = new KernelContext{device_queue, kg_dptr, 0};
debug_init_execution();
}
bool OneapiDeviceQueue::enqueue(DeviceKernel kernel,
const int signed_kernel_work_size,
DeviceKernelArguments const &_args)
{
if (oneapi_device_->have_error()) {
return false;
}
void **args = const_cast<void **>(_args.values);
debug_enqueue_begin(kernel, signed_kernel_work_size);
assert(signed_kernel_work_size >= 0);
size_t kernel_global_size = (size_t)signed_kernel_work_size;
size_t kernel_local_size;
assert(kernel_context_);
kernel_context_->scene_max_shaders = oneapi_device_->scene_max_shaders();
oneapi_device_->get_adjusted_global_and_local_sizes(
kernel_context_->queue, kernel, kernel_global_size, kernel_local_size);
/* Call the oneAPI kernel DLL to launch the requested kernel. */
bool is_finished_ok = oneapi_device_->enqueue_kernel(
kernel_context_, kernel, kernel_global_size, kernel_local_size, args);
if (is_finished_ok == false) {
oneapi_device_->set_error("oneAPI kernel \"" + std::string(device_kernel_as_string(kernel)) +
"\" execution error: got runtime exception \"" +
oneapi_device_->oneapi_error_message() + "\"");
}
debug_enqueue_end();
return is_finished_ok;
}
bool OneapiDeviceQueue::synchronize()
{
if (oneapi_device_->have_error()) {
return false;
}
bool is_finished_ok = oneapi_device_->queue_synchronize(oneapi_device_->sycl_queue());
if (is_finished_ok == false)
oneapi_device_->set_error("oneAPI unknown kernel execution error: got runtime exception \"" +
oneapi_device_->oneapi_error_message() + "\"");
debug_synchronize();
return !(oneapi_device_->have_error());
}
void OneapiDeviceQueue::zero_to_device(device_memory &mem)
{
oneapi_device_->mem_zero(mem);
}
void OneapiDeviceQueue::copy_to_device(device_memory &mem)
{
oneapi_device_->mem_copy_to(mem);
}
void OneapiDeviceQueue::copy_from_device(device_memory &mem)
{
oneapi_device_->mem_copy_from(mem);
}
CCL_NAMESPACE_END
#endif /* WITH_ONEAPI */