Newer
Older
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
//===- MLIRConv2DBenchmark.cpp --------------------------------------------===//
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// 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.
//
//===----------------------------------------------------------------------===//
//
// This file implements the benchmark for buddy-opt tool in buddy-mlir project.
//
//===----------------------------------------------------------------------===//
#include "ImageProcessing/Kernels.h"
#include "Utils/Container.h"
#include <benchmark/benchmark.h>
#include <opencv2/opencv.hpp>
using namespace cv;
using namespace std;
// Declare the conv2d C interface.
extern "C" {
void _mlir_ciface_mlir_conv_2d(MemRef<float, 2> *inputConv2D,
MemRef<float, 2> *kernelConv2D,
MemRef<float, 2> *outputConv2D);
}
// Read input image.
Mat inputImageMLIRConv2D, kernelMLIRConv2DMat;
// Define the kernel size.
int kernelRowsMLIRConv2D, kernelColsMLIRConv2D;
// Define the output size.
int outputRowsMLIRConv2D, outputColsMLIRConv2D;
// Define sizes of input, kernel, and output.
intptr_t sizesInputMLIRConv2D[2];
intptr_t sizesKernelMLIRConv2D[2];
intptr_t sizesOutputMLIRConv2D[2];
void initializeMLIRConv2D(int argc, char **argv) {
inputImageMLIRConv2D = imread(argv[1], IMREAD_GRAYSCALE);
kernelMLIRConv2DMat =
Mat(get<1>(kernelMap[argv[2]]), get<2>(kernelMap[argv[2]]), CV_32FC1,
get<0>(kernelMap[argv[2]]));
kernelRowsMLIRConv2D = kernelMLIRConv2DMat.rows;
kernelColsMLIRConv2D = kernelMLIRConv2DMat.cols;
outputRowsMLIRConv2D = inputImageMLIRConv2D.rows - kernelRowsMLIRConv2D + 1;
outputColsMLIRConv2D = inputImageMLIRConv2D.cols - kernelColsMLIRConv2D + 1;
sizesInputMLIRConv2D[0] = inputImageMLIRConv2D.rows;
sizesInputMLIRConv2D[1] = inputImageMLIRConv2D.cols;
sizesKernelMLIRConv2D[0] = kernelRowsMLIRConv2D;
sizesKernelMLIRConv2D[1] = kernelColsMLIRConv2D;
sizesOutputMLIRConv2D[0] = outputRowsMLIRConv2D;
sizesOutputMLIRConv2D[1] = outputColsMLIRConv2D;
}
static void MLIR_Conv2D(benchmark::State &state) {
// Define the MemRef descriptor for input, kernel, and output.
MemRef<float, 2> inputMLIRConv2D(inputImageMLIRConv2D, sizesInputMLIRConv2D);
MemRef<float, 2> kernelMLIRConv2D(kernelMLIRConv2DMat, sizesKernelMLIRConv2D);
MemRef<float, 2> outputMLIRConv2D(sizesOutputMLIRConv2D);
for (auto _ : state) {
for (int i = 0; i < state.range(0); ++i) {
_mlir_ciface_mlir_conv_2d(&inputMLIRConv2D, &kernelMLIRConv2D,
&outputMLIRConv2D);
}
}
}
// Register benchmarking function.
BENCHMARK(MLIR_Conv2D)->Arg(1);
// Generate result image.
void generateResultMLIRConv2D() {
// Define the MemRef descriptor for input, kernel, and output.
MemRef<float, 2> input(inputImageMLIRConv2D, sizesInputMLIRConv2D);
MemRef<float, 2> kernel(kernelMLIRConv2DMat, sizesKernelMLIRConv2D);
MemRef<float, 2> output(sizesOutputMLIRConv2D);
// Run the 2D convolution.
_mlir_ciface_mlir_conv_2d(&input, &kernel, &output);
// Define a cv::Mat with the output of the convolution.
Mat outputImage(outputRowsMLIRConv2D, outputColsMLIRConv2D, CV_32FC1,
output.getData());
// Choose a PNG compression level
vector<int> compressionParams;
compressionParams.push_back(IMWRITE_PNG_COMPRESSION);
compressionParams.push_back(9);
// Write output to PNG.
bool result = false;
try {
result = imwrite("ResultMLIRConv2D.png", outputImage, compressionParams);
} catch (const cv::Exception &ex) {
fprintf(stderr, "Exception converting image to PNG format: %s\n",
ex.what());
}
if (result)
cout << "Saved PNG file." << endl;
else
cout << "ERROR: Can't save PNG file." << endl;
}