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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: | |
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| * 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 | |
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| * this software without specific prior written permission. | |
| * | |
| * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" | |
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| **************************************************************************************************/ | |
| /* \file | |
| \brief Defines a math function | |
| */ | |
| 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 | |