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// Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2017 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
#include "benchmark.h"
#if (__cplusplus >= 201103L || (defined(_MSVC_LANG) && _MSVC_LANG >= 201103L)) && !defined(__riscv) && !NCNN_SIMPLESTL
#include <chrono>
#include <thread>
#include <numeric>
#include <algorithm>
#else
#ifdef _WIN32
#define WIN32_LEAN_AND_MEAN
#include <windows.h>
#else // _WIN32
#include <sys/time.h> //gettimeofday()
#include <unistd.h> // sleep()
#endif // _WIN32
#endif
#if NCNN_BENCHMARK
#include "layer/convolution.h"
#include "layer/convolutiondepthwise.h"
#include "layer/deconvolution.h"
#include "layer/deconvolutiondepthwise.h"
#include "layer/convolution3d.h"
#include "layer/convolutiondepthwise3d.h"
#include "layer/deconvolution3d.h"
#include "layer/deconvolutiondepthwise3d.h"
#include <stdio.h>
#endif // NCNN_BENCHMARK
namespace ncnn {
double get_current_time()
{
#if (__cplusplus >= 201103L || (defined(_MSVC_LANG) && _MSVC_LANG >= 201103L)) && !defined(__riscv) && !NCNN_SIMPLESTL
auto now = std::chrono::high_resolution_clock::now();
auto usec = std::chrono::duration_cast<std::chrono::microseconds>(now.time_since_epoch());
return usec.count() / 1000.0;
#else
#ifdef _WIN32
LARGE_INTEGER freq;
LARGE_INTEGER pc;
QueryPerformanceFrequency(&freq);
QueryPerformanceCounter(&pc);
return pc.QuadPart * 1000.0 / freq.QuadPart;
#else // _WIN32
struct timeval tv;
gettimeofday(&tv, NULL);
return tv.tv_sec * 1000.0 + tv.tv_usec / 1000.0;
#endif // _WIN32
#endif
}
void sleep(unsigned long long int milliseconds)
{
#if (__cplusplus >= 201103L || (defined(_MSVC_LANG) && _MSVC_LANG >= 201103L)) && !defined(__riscv) && !NCNN_SIMPLESTL
std::this_thread::sleep_for(std::chrono::milliseconds(milliseconds));
#else
#ifdef _WIN32
Sleep(milliseconds);
#elif defined(__unix__) || defined(__APPLE__)
usleep(milliseconds * 1000);
#elif _POSIX_TIMERS
struct timespec ts;
ts.tv_sec = milliseconds * 0.001;
ts.tv_nsec = 0;
nanosleep(&ts, &ts);
#else
// TODO How to handle it ?
#endif
#endif
}
#if NCNN_BENCHMARK
void benchmark(const Layer* layer, double start, double end)
{
fprintf(stderr, "%-24s %-30s %8.2lfms", layer->type.c_str(), layer->name.c_str(), end - start);
fprintf(stderr, " |");
fprintf(stderr, "\n");
}
void benchmark(const Layer* layer, const Mat& bottom_blob, Mat& top_blob, double start, double end)
{
fprintf(stderr, "%-24s %-30s %8.2lfms", layer->type.c_str(), layer->name.c_str(), end - start);
char in_shape_str[64] = {'\0'};
char out_shape_str[64] = {'\0'};
if (bottom_blob.dims == 1)
{
sprintf(in_shape_str, "[%3d *%d]", bottom_blob.w, bottom_blob.elempack);
}
if (bottom_blob.dims == 2)
{
sprintf(in_shape_str, "[%3d, %3d *%d]", bottom_blob.w, bottom_blob.h, bottom_blob.elempack);
}
if (bottom_blob.dims == 3)
{
sprintf(in_shape_str, "[%3d, %3d, %3d *%d]", bottom_blob.w, bottom_blob.h, bottom_blob.c, bottom_blob.elempack);
}
if (bottom_blob.dims == 4)
{
sprintf(in_shape_str, "[%3d, %3d, %3d, %3d *%d]", bottom_blob.w, bottom_blob.h, bottom_blob.d, bottom_blob.c, bottom_blob.elempack);
}
if (top_blob.dims == 1)
{
sprintf(out_shape_str, "[%3d *%d]", top_blob.w, top_blob.elempack);
}
if (top_blob.dims == 2)
{
sprintf(out_shape_str, "[%3d, %3d *%d]", top_blob.w, top_blob.h, top_blob.elempack);
}
if (top_blob.dims == 3)
{
sprintf(out_shape_str, "[%3d, %3d, %3d *%d]", top_blob.w, top_blob.h, top_blob.c, top_blob.elempack);
}
if (top_blob.dims == 4)
{
sprintf(out_shape_str, "[%3d, %3d, %3d, %3d *%d]", top_blob.w, top_blob.h, top_blob.d, top_blob.c, top_blob.elempack);
}
fprintf(stderr, " | %22s -> %-22s", in_shape_str, out_shape_str);
if (layer->type == "Convolution")
{
fprintf(stderr, " kernel: %1d x %1d stride: %1d x %1d",
((Convolution*)layer)->kernel_w,
((Convolution*)layer)->kernel_h,
((Convolution*)layer)->stride_w,
((Convolution*)layer)->stride_h);
}
else if (layer->type == "ConvolutionDepthWise")
{
fprintf(stderr, " kernel: %1d x %1d stride: %1d x %1d",
((ConvolutionDepthWise*)layer)->kernel_w,
((ConvolutionDepthWise*)layer)->kernel_h,
((ConvolutionDepthWise*)layer)->stride_w,
((ConvolutionDepthWise*)layer)->stride_h);
}
else if (layer->type == "Deconvolution")
{
fprintf(stderr, " kernel: %1d x %1d stride: %1d x %1d",
((Deconvolution*)layer)->kernel_w,
((Deconvolution*)layer)->kernel_h,
((Deconvolution*)layer)->stride_w,
((Deconvolution*)layer)->stride_h);
}
else if (layer->type == "DeconvolutionDepthWise")
{
fprintf(stderr, " kernel: %1d x %1d stride: %1d x %1d",
((DeconvolutionDepthWise*)layer)->kernel_w,
((DeconvolutionDepthWise*)layer)->kernel_h,
((DeconvolutionDepthWise*)layer)->stride_w,
((DeconvolutionDepthWise*)layer)->stride_h);
}
else if (layer->type == "Convolution3D")
{
fprintf(stderr, " kernel: %1d x %1d x %1d stride: %1d x %1d x %1d",
((Convolution3D*)layer)->kernel_w,
((Convolution3D*)layer)->kernel_h,
((Convolution3D*)layer)->kernel_d,
((Convolution3D*)layer)->stride_w,
((Convolution3D*)layer)->stride_h,
((Convolution3D*)layer)->stride_d);
}
else if (layer->type == "ConvolutionDepthWise3D")
{
fprintf(stderr, " kernel: %1d x %1d x %1d stride: %1d x %1d x %1d",
((ConvolutionDepthWise3D*)layer)->kernel_w,
((ConvolutionDepthWise3D*)layer)->kernel_h,
((ConvolutionDepthWise3D*)layer)->kernel_d,
((ConvolutionDepthWise3D*)layer)->stride_w,
((ConvolutionDepthWise3D*)layer)->stride_h,
((ConvolutionDepthWise3D*)layer)->stride_d);
}
else if (layer->type == "Deconvolution3D")
{
fprintf(stderr, " kernel: %1d x %1d x %1d stride: %1d x %1d x %1d",
((Deconvolution3D*)layer)->kernel_w,
((Deconvolution3D*)layer)->kernel_h,
((Deconvolution3D*)layer)->kernel_d,
((Deconvolution3D*)layer)->stride_w,
((Deconvolution3D*)layer)->stride_h,
((Deconvolution3D*)layer)->stride_d);
}
else if (layer->type == "DeconvolutionDepthWise3D")
{
fprintf(stderr, " kernel: %1d x %1d x %1d stride: %1d x %1d x %1d",
((DeconvolutionDepthWise3D*)layer)->kernel_w,
((DeconvolutionDepthWise3D*)layer)->kernel_h,
((DeconvolutionDepthWise3D*)layer)->kernel_d,
((DeconvolutionDepthWise3D*)layer)->stride_w,
((DeconvolutionDepthWise3D*)layer)->stride_h,
((DeconvolutionDepthWise3D*)layer)->stride_d);
}
fprintf(stderr, "\n");
}
#endif // NCNN_BENCHMARK
} // namespace ncnn
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