114 lines
3.8 KiB
C++
114 lines
3.8 KiB
C++
/***************************************************************************************************
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* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: BSD-3-Clause
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are met:
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*
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* 1. Redistributions of source code must retain the above copyright notice, this
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* list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright notice,
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* this list of conditions and the following disclaimer in the documentation
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* and/or other materials provided with the distribution.
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*
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* 3. Neither the name of the copyright holder nor the names of its
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* contributors may be used to endorse or promote products derived from
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* this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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**************************************************************************************************/
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/* \file
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\brief Defines a math function
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*/
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#include <stdexcept>
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#include "gpu_timer.h"
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namespace cutlass {
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namespace profiler {
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/////////////////////////////////////////////////////////////////////////////////////////////////
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GpuTimer::GpuTimer() {
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cudaError_t result;
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for (auto & event : events) {
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result = cudaEventCreate(&event);
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if (result != cudaSuccess) {
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throw std::runtime_error("Failed to create CUDA event");
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}
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}
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}
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GpuTimer::~GpuTimer() {
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for (auto & event : events) {
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cudaEventDestroy(event);
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}
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}
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/// Records a start event in the stream
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void GpuTimer::start(cudaStream_t stream) {
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cudaError_t result = cudaEventRecord(events[0], stream);
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if (result != cudaSuccess) {
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throw std::runtime_error("Failed to record start event.");
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}
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}
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/// Records a stop event in the stream
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void GpuTimer::stop(cudaStream_t stream) {
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cudaError_t result = cudaEventRecord(events[1], stream);
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if (result != cudaSuccess) {
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throw std::runtime_error("Failed to record stop event.");
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}
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}
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/// Records a stop event in the stream and synchronizes on the stream
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void GpuTimer::stop_and_wait(cudaStream_t stream) {
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stop(stream);
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cudaError_t result;
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if (stream) {
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result = cudaStreamSynchronize(stream);
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if (result != cudaSuccess) {
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throw std::runtime_error("Failed to synchronize with non-null CUDA stream.");
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}
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}
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else {
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result = cudaDeviceSynchronize();
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if (result != cudaSuccess) {
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throw std::runtime_error("Failed to synchronize with CUDA device.");
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}
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}
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}
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/// Returns the duration in miliseconds
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double GpuTimer::duration(int iterations) const {
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float avg_ms;
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cudaError_t result = cudaEventElapsedTime(&avg_ms, events[0], events[1]);
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if (result != cudaSuccess) {
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throw std::runtime_error("Failed to query elapsed time from CUDA events.");
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}
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return double(avg_ms) / double(iterations);
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}
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/////////////////////////////////////////////////////////////////////////////////////////////////
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} // namespace profiler
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} // namespace cutlass
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