blob: e1a76455bedb93778dc6a96f939c9562e9de81f2 (
plain)
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
|
// Copyright 2014 BVLC and contributors.
// The main caffe test code. Your test cpp code should include this hpp
// to allow a main function to be compiled into the binary.
#ifndef CAFFE_TEST_TEST_CAFFE_MAIN_HPP_
#define CAFFE_TEST_TEST_CAFFE_MAIN_HPP_
#include <cuda_runtime.h>
#include <glog/logging.h>
#include <gtest/gtest.h>
#include <cstdlib>
#include <cstdio>
#include "caffe/common.hpp"
using std::cout;
using std::endl;
int main(int argc, char** argv);
namespace caffe {
template <typename TypeParam>
class MultiDeviceTest : public ::testing::Test {
public:
typedef typename TypeParam::Dtype Dtype;
protected:
MultiDeviceTest() {
Caffe::set_mode(TypeParam::device);
}
virtual ~MultiDeviceTest() {}
};
typedef ::testing::Types<float, double> TestDtypes;
struct FloatCPU {
typedef float Dtype;
static const Caffe::Brew device = Caffe::CPU;
};
struct DoubleCPU {
typedef double Dtype;
static const Caffe::Brew device = Caffe::CPU;
};
struct FloatGPU {
typedef float Dtype;
static const Caffe::Brew device = Caffe::GPU;
};
struct DoubleGPU {
typedef double Dtype;
static const Caffe::Brew device = Caffe::GPU;
};
typedef ::testing::Types<FloatCPU, DoubleCPU, FloatGPU, DoubleGPU>
TestDtypesAndDevices;
} // namespace caffe
#endif // CAFFE_TEST_TEST_CAFFE_MAIN_HPP_
|
