/*************************************************************************************************** * Copyright (c) 2017 - 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. * SPDX-License-Identifier: BSD-3-Clause * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * 1. Redistributions of source code must retain the above copyright notice, this * list of conditions and the following disclaimer. * * 2. Redistributions in binary form must reproduce the above copyright notice, * this list of conditions and the following disclaimer in the documentation * and/or other materials provided with the distribution. * * 3. Neither the name of the copyright holder nor the names of its * contributors may be used to endorse or promote products derived from * this software without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * **************************************************************************************************/ /* \file \brief Defines a math function */ #include #include "cutlass/profiler/gpu_timer.h" namespace cutlass { namespace profiler { ///////////////////////////////////////////////////////////////////////////////////////////////// GpuTimer::GpuTimer() { cudaError_t result; for (auto & event : events) { result = cudaEventCreate(&event); if (result != cudaSuccess) { throw std::runtime_error("Failed to create CUDA event"); } } } GpuTimer::~GpuTimer() { for (auto & event : events) { cudaEventDestroy(event); } } /// Records a start event in the stream void GpuTimer::start(cudaStream_t stream) { cudaError_t result = cudaEventRecord(events[0], stream); if (result != cudaSuccess) { throw std::runtime_error("Failed to record start event."); } } /// Records a stop event in the stream void GpuTimer::stop(cudaStream_t stream) { cudaError_t result = cudaEventRecord(events[1], stream); if (result != cudaSuccess) { throw std::runtime_error("Failed to record stop event."); } } /// Records a stop event in the stream and synchronizes on the stream void GpuTimer::stop_and_wait(cudaStream_t stream) { stop(stream); cudaError_t result; if (stream) { result = cudaStreamSynchronize(stream); if (result != cudaSuccess) { throw std::runtime_error("Failed to synchronize with non-null CUDA stream."); } } else { result = cudaDeviceSynchronize(); if (result != cudaSuccess) { throw std::runtime_error("Failed to synchronize with CUDA device."); } } } /// Returns the duration in milliseconds double GpuTimer::duration(int iterations) const { float avg_ms; cudaError_t result = cudaEventElapsedTime(&avg_ms, events[0], events[1]); if (result != cudaSuccess) { throw std::runtime_error("Failed to query elapsed time from CUDA events."); } return double(avg_ms) / double(iterations); } ///////////////////////////////////////////////////////////////////////////////////////////////// } // namespace profiler } // namespace cutlass