ngraph/test/backend/constant.in.cpp

   1 //*****************************************************************************
   2 // Copyright 2017-2020 Intel Corporation
   3 //
   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
   7 //
   8 //     http://www.apache.org/licenses/LICENSE-2.0
   9 //
  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 //*****************************************************************************
  16
  17 #include "gtest/gtest.h"
  18 #include "ngraph/ngraph.hpp"
  19 #include "ngraph/runtime/tensor.hpp"
  20 #include "runtime/backend.hpp"
  21 #include "util/all_close.hpp"
  22 #include "util/all_close_f.hpp"
  23 #include "util/ndarray.hpp"
  24 #include "util/test_control.hpp"
  25 #include "util/test_tools.hpp"
  26
  27 NGRAPH_SUPPRESS_DEPRECATED_START
  28
  29 using namespace std;
  30 using namespace ngraph;
  31
  32 static string s_manifest = "${MANIFEST}";
  33
  34 NGRAPH_TEST(${BACKEND_NAME}, tensor_constant)
  35 {
  36     Shape shape{2, 2, 2};
  37     auto A = op::Constant::create(element::f32, shape, {1, 2, 3, 4, 5, 6, 7, 8});
  38     auto f = make_shared<Function>(A, ParameterVector{});
  39
  40     auto backend = runtime::Backend::create("${BACKEND_NAME}");
  41
  42     // Create some tensors for input/output
  43     auto result = backend->create_tensor(element::f32, shape);
  44
  45     auto handle = backend->compile(f);
  46     handle->call_with_validate({result}, {});
  47     EXPECT_TRUE(test::all_close_f((vector<float>{1, 2, 3, 4, 5, 6, 7, 8}),
  48                                   read_vector<float>(result),
  49                                   MIN_FLOAT_TOLERANCE_BITS));
  50 }
  51
  52 NGRAPH_TEST(${BACKEND_NAME}, tensor_2constant)
  53 {
  54     Shape shape{2, 2, 2};
  55     auto A = op::Constant::create(element::f32, shape, {1, 2, 3, 4, 5, 6, 7, 8});
  56     auto f = make_shared<Function>(NodeVector{A, A}, ParameterVector{});
  57
  58     auto backend = runtime::Backend::create("${BACKEND_NAME}");
  59
  60     // Create some tensors for input/output
  61     auto result0 = backend->create_tensor(element::f32, shape);
  62     auto result1 = backend->create_tensor(element::f32, shape);
  63
  64     auto handle = backend->compile(f);
  65     handle->call_with_validate({result0, result1}, {});
  66     EXPECT_TRUE(test::all_close_f((vector<float>{1, 2, 3, 4, 5, 6, 7, 8}),
  67                                   read_vector<float>(result0),
  68                                   MIN_FLOAT_TOLERANCE_BITS));
  69     EXPECT_TRUE(test::all_close_f((vector<float>{1, 2, 3, 4, 5, 6, 7, 8}),
  70                                   read_vector<float>(result1),
  71                                   MIN_FLOAT_TOLERANCE_BITS));
  72 }
  73
  74 NGRAPH_TEST(${BACKEND_NAME}, tensor_constant_with_op)
  75 {
  76     Shape shape{2, 2, 2};
  77     auto A = op::Constant::create(element::f32, shape, {-1, 2, 3, -4, 5, -6, -7, 8});
  78     auto f = make_shared<Function>(make_shared<op::Abs>(A), ParameterVector{});
  79
  80     auto backend = runtime::Backend::create("${BACKEND_NAME}");
  81
  82     // Create some tensors for input/output
  83     auto result = backend->create_tensor(element::f32, shape);
  84
  85     auto handle = backend->compile(f);
  86     handle->call_with_validate({result}, {});
  87     EXPECT_TRUE(test::all_close_f((vector<float>{1, 2, 3, 4, 5, 6, 7, 8}),
  88                                   read_vector<float>(result),
  89                                   MIN_FLOAT_TOLERANCE_BITS));
  90 }
  91
  92 NGRAPH_TEST(${BACKEND_NAME}, constant_multi_use)
  93 {
  94     auto A = make_shared<op::Constant>(element::i32, Shape{}, std::vector<std::string>{"388"});
  95     auto f = make_shared<Function>(A, ParameterVector{});
  96     auto backend = runtime::Backend::create("${BACKEND_NAME}");
  97
  98     std::shared_ptr<runtime::Tensor> r1 = backend->create_tensor(element::i32, Shape{});
  99     auto handle = backend->compile(f);
 100     handle->call_with_validate({r1}, std::vector<std::shared_ptr<runtime::Tensor>>{});
 101     EXPECT_EQ(read_vector<int>(r1), std::vector<int>{388});
 102
 103     std::shared_ptr<runtime::Tensor> r2 = backend->create_tensor(element::i32, Shape{});
 104     handle->call_with_validate({r2}, std::vector<std::shared_ptr<runtime::Tensor>>{});
 105     EXPECT_EQ(read_vector<int>(r2), std::vector<int>{388});
 106 }
 107
 108 NGRAPH_TEST(${BACKEND_NAME}, scalar_constant_float32)
 109 {
 110     auto r = op::Constant::create(element::f32, Shape{}, {4.75});
 111     auto f = make_shared<Function>(r, ParameterVector{});
 112
 113     auto backend = runtime::Backend::create("${BACKEND_NAME}");
 114
 115     // Create some tensors for input/output
 116     auto result = backend->create_tensor(element::f32, Shape{});
 117
 118     auto handle = backend->compile(f);
 119     handle->call_with_validate({result}, {});
 120     EXPECT_TRUE(test::all_close_f(
 121         vector<float>{4.75f}, read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
 122 }
 123
 124 NGRAPH_TEST(${BACKEND_NAME}, scalar_constant_int64)
 125 {
 126     auto r = op::Constant::create(element::i64, Shape{}, {0x4000000000000001});
 127     auto f = make_shared<Function>(r, ParameterVector{});
 128
 129     auto backend = runtime::Backend::create("${BACKEND_NAME}");
 130
 131     // Create some tensors for input/output
 132     auto result = backend->create_tensor(element::i64, Shape{});
 133
 134     auto handle = backend->compile(f);
 135     handle->call_with_validate({result}, {});
 136     EXPECT_EQ(vector<int64_t>{0x4000000000000001}, read_vector<int64_t>(result));
 137 }
 138
 139 NGRAPH_TEST(${BACKEND_NAME}, tensor_constant_float32)
 140 {
 141     Shape shape{2, 2};
 142     auto r = op::Constant::create(element::f32, shape, {4.75, 4.5, -5.25, 0.0});
 143     auto f = make_shared<Function>(r, ParameterVector{});
 144
 145     auto backend = runtime::Backend::create("${BACKEND_NAME}");
 146
 147     // Create some tensors for input/output
 148     auto result = backend->create_tensor(element::f32, shape);
 149
 150     auto handle = backend->compile(f);
 151     handle->call_with_validate({result}, {});
 152     EXPECT_TRUE(test::all_close_f((vector<float>{4.75f, 4.5f, -5.25f, 0.0f}),
 153                                   read_vector<float>(result),
 154                                   MIN_FLOAT_TOLERANCE_BITS));
 155 }
 156
 157 NGRAPH_TEST(${BACKEND_NAME}, tensor_constant_int64)
 158 {
 159     Shape shape{2};
 160     auto r = op::Constant::create(element::i64, shape, {0x4000000000000001, 0x4000000000000002});
 161     auto f = make_shared<Function>(r, ParameterVector{});
 162     auto backend = runtime::Backend::create("${BACKEND_NAME}");
 163     // Create some tensors for input/output
 164     auto result = backend->create_tensor(element::i64, shape);
 165     auto handle = backend->compile(f);
 166     handle->call_with_validate({result}, {});
 167     EXPECT_EQ((vector<int64_t>{0x4000000000000001, 0x4000000000000002}),
 168               read_vector<int64_t>(result));
 169 }
 170
 171 NGRAPH_TEST(${BACKEND_NAME}, constant_equality_bool)
 172 {
 173     Shape shape{4};
 174     // auto A = make_shared<op::Parameter>(element::boolean, shape);
 175     // auto B = make_shared<op::Parameter>(element::boolean, shape);
 176     // auto f = make_shared<Function>(make_shared<op::Equal>(A, B), ParameterVector{A, B});
 177
 178     auto A = op::Constant::create(element::boolean, shape, {true, false, true, false});
 179     auto B = op::Constant::create(element::boolean, shape, {true, true, true, true});
 180     auto f = make_shared<Function>(make_shared<op::Equal>(A, B), ParameterVector{});
 181
 182     auto backend = runtime::Backend::create("${BACKEND_NAME}");
 183
 184     // Create some tensors for input/output
 185     auto result = backend->create_tensor(element::boolean, shape);
 186
 187     auto handle = backend->compile(f);
 188     handle->call_with_validate({result}, {});
 189     EXPECT_EQ((vector<char>{true, false, true, false}), read_vector<char>(result));
 190 }