1 #include <gtest/gtest.h>
2 #include <test/cpp/api/support.h>
3
4 #include <torch/torch.h>
5
6 #include <string>
7 #include <vector>
8
9 using namespace at;
10 using namespace torch::test;
11
12 // A macro so we don't lose location information when an assertion fails.
13 #define REQUIRE_OPTIONS(device_, index_, type_, layout_) \
14 ASSERT_EQ(options.device().type(), Device((device_), (index_)).type()); \
15 ASSERT_TRUE( \
16 options.device().index() == Device((device_), (index_)).index()); \
17 ASSERT_EQ(options.dtype(), (type_)); \
18 ASSERT_TRUE(options.layout() == (layout_))
19
20 #define REQUIRE_TENSOR_OPTIONS(device_, index_, type_, layout_) \
21 ASSERT_EQ(tensor.device().type(), Device((device_), (index_)).type()); \
22 ASSERT_EQ(tensor.device().index(), Device((device_), (index_)).index()); \
23 ASSERT_EQ(tensor.scalar_type(), (type_)); \
24 ASSERT_TRUE(tensor.options().layout() == (layout_))
25
TEST(TensorOptionsTest,DefaultsToTheRightValues)26 TEST(TensorOptionsTest, DefaultsToTheRightValues) {
27 TensorOptions options;
28 REQUIRE_OPTIONS(kCPU, -1, kFloat, kStrided);
29 }
30
TEST(TensorOptionsTest,UtilityFunctionsReturnTheRightTensorOptions)31 TEST(TensorOptionsTest, UtilityFunctionsReturnTheRightTensorOptions) {
32 auto options = dtype(kInt);
33 REQUIRE_OPTIONS(kCPU, -1, kInt, kStrided);
34
35 options = layout(kSparse);
36 REQUIRE_OPTIONS(kCPU, -1, kFloat, kSparse);
37
38 options = device({kCUDA, 1});
39 REQUIRE_OPTIONS(kCUDA, 1, kFloat, kStrided);
40
41 options = device_index(1);
42 REQUIRE_OPTIONS(kCUDA, 1, kFloat, kStrided);
43
44 options = dtype(kByte).layout(kSparse).device(kCUDA, 2).device_index(3);
45 REQUIRE_OPTIONS(kCUDA, 3, kByte, kSparse);
46 }
47
TEST(TensorOptionsTest,ConstructsWellFromCPUTypes)48 TEST(TensorOptionsTest, ConstructsWellFromCPUTypes) {
49 TensorOptions options;
50 REQUIRE_OPTIONS(kCPU, -1, kFloat, kStrided);
51
52 options = TensorOptions({kCPU, 0});
53 REQUIRE_OPTIONS(kCPU, 0, kFloat, kStrided);
54
55 options = TensorOptions("cpu:0");
56 REQUIRE_OPTIONS(kCPU, 0, kFloat, kStrided);
57
58 options = TensorOptions(kInt);
59 REQUIRE_OPTIONS(kCPU, -1, kInt, kStrided);
60
61 options =
62 TensorOptions(getDeprecatedTypeProperties(Backend::SparseCPU, kFloat));
63 REQUIRE_OPTIONS(kCPU, -1, kFloat, kSparse);
64
65 options =
66 TensorOptions(getDeprecatedTypeProperties(Backend::SparseCPU, kByte));
67 REQUIRE_OPTIONS(kCPU, -1, kByte, kSparse);
68 }
69
TEST(TensorOptionsTest,ConstructsWellFromCPUTensors)70 TEST(TensorOptionsTest, ConstructsWellFromCPUTensors) {
71 auto options = empty(5, kDouble).options();
72 REQUIRE_OPTIONS(kCPU, -1, kDouble, kStrided);
73
74 options = empty(5, getDeprecatedTypeProperties(Backend::SparseCPU, kByte))
75 .options();
76 REQUIRE_OPTIONS(kCPU, -1, kByte, kSparse);
77 }
78
TEST(TensorOptionsTest,ConstructsWellFromVariables)79 TEST(TensorOptionsTest, ConstructsWellFromVariables) {
80 auto options = torch::empty(5).options();
81 REQUIRE_OPTIONS(kCPU, -1, kFloat, kStrided);
82 ASSERT_FALSE(options.requires_grad());
83
84 options = torch::empty(5, at::requires_grad()).options();
85 REQUIRE_OPTIONS(kCPU, -1, kFloat, kStrided);
86 ASSERT_FALSE(options.requires_grad());
87 }
88
TEST(DeviceTest,ParsesCorrectlyFromString)89 TEST(DeviceTest, ParsesCorrectlyFromString) {
90 Device device("cpu:0");
91 ASSERT_EQ(device, Device(DeviceType::CPU, 0));
92
93 device = Device("cpu");
94 ASSERT_EQ(device, Device(DeviceType::CPU));
95
96 device = Device("cuda:123");
97 ASSERT_EQ(device, Device(DeviceType::CUDA, 123));
98
99 device = Device("cuda");
100 ASSERT_EQ(device, Device(DeviceType::CUDA));
101
102 device = Device("mkldnn");
103 ASSERT_EQ(device, Device(DeviceType::MKLDNN));
104
105 device = Device("opengl");
106 ASSERT_EQ(device, Device(DeviceType::OPENGL));
107
108 device = Device("opencl");
109 ASSERT_EQ(device, Device(DeviceType::OPENCL));
110
111 device = Device("ideep");
112 ASSERT_EQ(device, Device(DeviceType::IDEEP));
113
114 device = Device("hip");
115 ASSERT_EQ(device, Device(DeviceType::HIP));
116
117 device = Device("hip:123");
118 ASSERT_EQ(device, Device(DeviceType::HIP, 123));
119
120 std::vector<std::string> badnesses = {
121 "", "cud:1", "cuda:", "cpu::1", ":1", "3", "tpu:4", "??"};
122 for (const auto& badness : badnesses) {
123 // NOLINTNEXTLINE(cppcoreguidelines-avoid-goto,hicpp-avoid-goto)
124 ASSERT_ANY_THROW({ Device d(badness); });
125 }
126 }
127
TEST(DefaultDtypeTest,CanSetAndGetDefaultDtype)128 TEST(DefaultDtypeTest, CanSetAndGetDefaultDtype) {
129 AutoDefaultDtypeMode dtype_mode(kFloat);
130
131 ASSERT_EQ(at::get_default_dtype(), kFloat);
132 set_default_dtype(caffe2::TypeMeta::Make<int>());
133 ASSERT_EQ(at::get_default_dtype(), kInt);
134 }
135
TEST(DefaultDtypeTest,NewTensorOptionsHasCorrectDefault)136 TEST(DefaultDtypeTest, NewTensorOptionsHasCorrectDefault) {
137 AutoDefaultDtypeMode dtype_mode(kFloat);
138
139 set_default_dtype(caffe2::TypeMeta::Make<int>());
140 ASSERT_EQ(at::get_default_dtype(), kInt);
141 TensorOptions options;
142 ASSERT_EQ(options.dtype(), kInt);
143 }
144
TEST(DefaultDtypeTest,NewTensorsHaveCorrectDefaultDtype)145 TEST(DefaultDtypeTest, NewTensorsHaveCorrectDefaultDtype) {
146 AutoDefaultDtypeMode dtype_mode(kFloat);
147 set_default_dtype(caffe2::TypeMeta::Make<int>());
148 {
149 auto tensor = torch::ones(5);
150 ASSERT_EQ(tensor.dtype(), kInt);
151 }
152 set_default_dtype(caffe2::TypeMeta::Make<double>());
153 {
154 auto tensor = torch::ones(5);
155 ASSERT_EQ(tensor.dtype(), kDouble);
156 }
157 {
158 auto tensor = torch::ones(5, kFloat);
159 ASSERT_EQ(tensor.dtype(), kFloat);
160 }
161 }
162