1 //*****************************************************************************
2 // Copyright 2017-2020 Intel Corporation
4 // Licensed under the Apache License, Version 2.0 (the "License");
5 // you may not use this file except in compliance with the License.
6 // You may obtain a copy of the License at
8 // http://www.apache.org/licenses/LICENSE-2.0
10 // Unless required by applicable law or agreed to in writing, software
11 // distributed under the License is distributed on an "AS IS" BASIS,
12 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 // See the License for the specific language governing permissions and
14 // limitations under the License.
15 //*****************************************************************************
25 #ifdef ${BACKEND_NAME}_FLOAT_TOLERANCE_BITS
26 #define DEFAULT_FLOAT_TOLERANCE_BITS ${BACKEND_NAME}_FLOAT_TOLERANCE_BITS
29 #ifdef ${BACKEND_NAME}_DOUBLE_TOLERANCE_BITS
30 #define DEFAULT_DOUBLE_TOLERANCE_BITS ${BACKEND_NAME}_DOUBLE_TOLERANCE_BITS
34 #include "gtest/gtest.h"
35 #include "runtime/backend.hpp"
36 #include "ngraph/runtime/tensor.hpp"
37 #include "ngraph/ngraph.hpp"
38 #include "util/all_close.hpp"
39 #include "util/all_close_f.hpp"
40 #include "util/ndarray.hpp"
41 #include "util/test_control.hpp"
42 #include "util/test_tools.hpp"
44 NGRAPH_SUPPRESS_DEPRECATED_START
47 using namespace ngraph;
49 static string s_manifest = "${MANIFEST}";
51 NGRAPH_TEST(${BACKEND_NAME}, divide)
55 auto A = make_shared<op::Parameter>(element::f32, shape);
56 auto B = make_shared<op::Parameter>(element::f32, shape);
57 auto f = make_shared<Function>(make_shared<op::Divide>(A, B), ParameterVector{A, B});
59 auto backend = runtime::Backend::create("${BACKEND_NAME}");
61 // Create some tensors for input/output
62 auto a = backend->create_tensor(element::f32, shape);
63 copy_data(a, vector<float>{2, 4, 8, 16});
64 auto b = backend->create_tensor(element::f32, shape);
65 copy_data(b, vector<float>{1, 2, 4, 8});
66 auto result = backend->create_tensor(element::f32, shape);
68 auto handle = backend->compile(f);
69 handle->call_with_validate({result}, {a, b});
70 EXPECT_TRUE(test::all_close_f((vector<float>{2, 2, 2, 2}), read_vector<float>(result)));
73 NGRAPH_TEST(${BACKEND_NAME}, divide_int32)
77 auto A = make_shared<op::Parameter>(element::i32, shape);
78 auto B = make_shared<op::Parameter>(element::i32, shape);
79 auto f = make_shared<Function>(make_shared<op::Divide>(A, B), ParameterVector{A, B});
81 auto backend = runtime::Backend::create("${BACKEND_NAME}");
83 // Create some tensors for input/output
84 auto a = backend->create_tensor(element::i32, shape);
85 copy_data(a, vector<int32_t>{0x40000140, 0x40000001, 8, 16});
86 auto b = backend->create_tensor(element::i32, shape);
87 copy_data(b, vector<int32_t>{2, 5, 4, 8});
88 auto result = backend->create_tensor(element::i32, shape);
90 auto handle = backend->compile(f);
91 handle->call_with_validate({result}, {a, b});
92 EXPECT_EQ((vector<int32_t>{536871072, 214748365, 2, 2}), read_vector<int32_t>(result));
95 NGRAPH_TEST(${BACKEND_NAME}, divide_cpp_rounding_int32)
99 auto A = make_shared<op::Parameter>(element::i32, shape);
100 auto B = make_shared<op::Parameter>(element::i32, shape);
101 auto f = make_shared<Function>(make_shared<op::Divide>(A, B, false), ParameterVector{A, B});
103 auto backend = runtime::Backend::create("${BACKEND_NAME}");
105 // Create some tensors for input/output
106 auto a = backend->create_tensor(element::i32, shape);
107 copy_data(a, vector<int32_t>{-10, -10, 10, 10});
108 auto b = backend->create_tensor(element::i32, shape);
109 copy_data(b, vector<int32_t>{-3, 3, -3, 3});
110 auto result = backend->create_tensor(element::i32, shape);
112 auto handle = backend->compile(f);
113 handle->call_with_validate({result}, {a, b});
114 EXPECT_EQ((vector<int32_t>{3, -3, -3, 3}), read_vector<int32_t>(result));
117 NGRAPH_TEST(${BACKEND_NAME}, divide_python_rounding_int32)
121 auto A = make_shared<op::Parameter>(element::i32, shape);
122 auto B = make_shared<op::Parameter>(element::i32, shape);
123 auto f = make_shared<Function>(make_shared<op::Divide>(A, B), ParameterVector{A, B});
125 auto backend = runtime::Backend::create("${BACKEND_NAME}");
127 // Create some tensors for input/output
128 auto a = backend->create_tensor(element::i32, shape);
129 copy_data(a, vector<int32_t>{-10, -10, 10, 10});
130 auto b = backend->create_tensor(element::i32, shape);
131 copy_data(b, vector<int32_t>{-3, 3, -3, 3});
132 auto result = backend->create_tensor(element::i32, shape);
134 auto handle = backend->compile(f);
135 handle->call_with_validate({result}, {a, b});
136 EXPECT_EQ((vector<int32_t>{3, -4, -4, 3}), read_vector<int32_t>(result));
139 NGRAPH_TEST(${BACKEND_NAME}, divide_overload)
143 auto A = make_shared<op::Parameter>(element::f32, shape);
144 auto B = make_shared<op::Parameter>(element::f32, shape);
145 auto f = make_shared<Function>(A / B, ParameterVector{A, B});
147 auto backend = runtime::Backend::create("${BACKEND_NAME}");
149 // Create some tensors for input/output
150 auto a = backend->create_tensor(element::f32, shape);
151 copy_data(a, vector<float>{2, 4, 8, 16});
152 auto b = backend->create_tensor(element::f32, shape);
153 copy_data(b, vector<float>{1, 2, 4, 8});
154 auto result = backend->create_tensor(element::f32, shape);
156 auto handle = backend->compile(f);
157 handle->call_with_validate({result}, {a, b});
158 EXPECT_TRUE(test::all_close_f((vector<float>{2, 2, 2, 2}), read_vector<float>(result)));
161 NGRAPH_TEST(${BACKEND_NAME}, divide_by_zero_float32)
165 auto A = make_shared<op::Parameter>(element::f32, shape);
166 auto B = make_shared<op::Parameter>(element::f32, shape);
167 auto f = make_shared<Function>(make_shared<op::Divide>(A, B), ParameterVector{A, B});
169 auto backend = runtime::Backend::create("${BACKEND_NAME}");
171 // Create some tensors for input/output
172 auto a = backend->create_tensor(element::f32, shape);
173 copy_data(a, vector<float>{2, 4, 8, 16});
174 auto b = backend->create_tensor(element::f32, shape);
175 copy_data(b, vector<float>{0, 0, 0, 0});
176 auto result = backend->create_tensor(element::f32, shape);
178 auto handle = backend->compile(f);
179 handle->call_with_validate({result}, {a, b});
180 EXPECT_EQ((vector<float>{std::numeric_limits<float>::infinity(),
181 std::numeric_limits<float>::infinity(),
182 std::numeric_limits<float>::infinity(),
183 std::numeric_limits<float>::infinity()}),
184 read_vector<float>(result));