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
//*****************************************************************************
// Copyright 2017-2020 Intel Corporation
//
// 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.
//*****************************************************************************
#include <algorithm>
#include <cinttypes>
#include <cmath>
#include <cstdlib>
#include <random>
#include <string>
// clang-format off
#ifdef ${BACKEND_NAME}_FLOAT_TOLERANCE_BITS
#define DEFAULT_FLOAT_TOLERANCE_BITS ${BACKEND_NAME}_FLOAT_TOLERANCE_BITS
#endif
#ifdef ${BACKEND_NAME}_DOUBLE_TOLERANCE_BITS
#define DEFAULT_DOUBLE_TOLERANCE_BITS ${BACKEND_NAME}_DOUBLE_TOLERANCE_BITS
#endif
// clang-format on
#include "gtest/gtest.h"
#include "ngraph/ngraph.hpp"
#include "util/all_close.hpp"
#include "util/all_close_f.hpp"
#include "util/ndarray.hpp"
#include "util/test_control.hpp"
#include "util/test_tools.hpp"
using namespace std;
using namespace ngraph;
static string s_manifest = "${MANIFEST}";
NGRAPH_TEST(${BACKEND_NAME}, negative)
{
Shape shape{2, 3};
auto A = make_shared<op::Parameter>(element::f32, shape);
auto f = make_shared<Function>(make_shared<op::Negative>(A), ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
// Create some tensors for input/output
auto a = backend->create_tensor(element::f32, shape);
copy_data(a, vector<float>{1, -2, 0, -4.75f, 8.75f, -8.75f});
auto result = backend->create_tensor(element::f32, shape);
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_TRUE(test::all_close_f((vector<float>{-1, 2, 0, 4.75f, -8.75f, 8.75f}),
read_vector<float>(result),
MIN_FLOAT_TOLERANCE_BITS));
}
NGRAPH_TEST(${BACKEND_NAME}, negative_i32)
{
auto shape_a = Shape{2, 5};
auto A = make_shared<op::Parameter>(element::i32, shape_a);
auto relu = make_shared<op::Negative>(A);
auto shape_rt = Shape{2, 5};
auto f = make_shared<Function>(relu, ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
auto a = backend->create_tensor(element::i32, shape_a);
copy_data(a, vector<int32_t>{1, 8, -8, 17, -2, 1, 8, -8, 17, -1});
auto result = backend->create_tensor(element::i32, shape_rt);
vector<int32_t> expected{-1, -8, 8, -17, 2, -1, -8, 8, -17, 1};
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_EQ(expected, read_vector<int32_t>(result));
}
NGRAPH_TEST(${BACKEND_NAME}, negative_f32)
{
auto shape_a = Shape{2, 5};
auto A = make_shared<op::Parameter>(element::f32, shape_a);
auto relu = make_shared<op::Negative>(A);
auto shape_rt = Shape{2, 5};
auto f = make_shared<Function>(relu, ParameterVector{A});
auto backend = runtime::Backend::create("${BACKEND_NAME}");
auto a = backend->create_tensor(element::f32, shape_a);
copy_data(
a, vector<float>{1.35f, 8.76f, -8.0f, 17.234f, -2.121f, 1.0f, 8.7f, -8.92f, 17.0f, -1.0f});
auto result = backend->create_tensor(element::f32, shape_rt);
vector<float> expected{
-1.35f, -8.76f, 8.0f, -17.234f, 2.121f, -1.0f, -8.7f, 8.92f, -17.0f, 1.0f};
auto handle = backend->compile(f);
handle->call_with_validate({result}, {a});
EXPECT_EQ(expected, read_vector<float>(result));
}