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/***************************************************************************************************
* 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 <stdexcept>
#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
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