ngraph/test/backend/round.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}, round)
  35 {
  36     Shape shape{5};
  37     auto A = make_shared<op::Parameter>(element::f32, shape);
  38     auto f = make_shared<Function>(make_shared<op::Round>(A), ParameterVector{A});
  39
  40     auto backend = runtime::Backend::create("${BACKEND_NAME}");
  41
  42     auto a = backend->create_tensor(element::f32, shape);
  43     copy_data(a, vector<float>{0.9f, 2.5f, 2.3f, 1.5f, -4.5f});
  44     auto result = backend->create_tensor(element::f32, shape);
  45
  46     auto handle = backend->compile(f);
  47     handle->call_with_validate({result}, {a});
  48     EXPECT_TRUE(test::all_close_f((vector<float>{1.0f, 2.0f, 2.0f, 2.0f, -4.0f}),
  49                                   read_vector<float>(result),
  50                                   MIN_FLOAT_TOLERANCE_BITS));
  51 }
  52
  53 NGRAPH_TEST(${BACKEND_NAME}, round_2D)
  54 {
  55     Shape shape{3, 5};
  56     auto A = make_shared<op::Parameter>(element::f32, shape);
  57     auto f = make_shared<Function>(make_shared<op::Round>(A), ParameterVector{A});
  58
  59     auto backend = runtime::Backend::create("${BACKEND_NAME}");
  60
  61     auto a = backend->create_tensor(element::f32, shape);
  62     copy_data(a,
  63               vector<float>{0.1f,
  64                             0.5f,
  65                             0.9f,
  66                             1.2f,
  67                             1.5f,
  68                             1.8f,
  69                             2.3f,
  70                             2.5f,
  71                             2.7f,
  72                             -1.1f,
  73                             -1.5f,
  74                             -1.9f,
  75                             -2.2f,
  76                             -2.5f,
  77                             -2.8f});
  78     auto result = backend->create_tensor(element::f32, shape);
  79
  80     auto handle = backend->compile(f);
  81     handle->call_with_validate({result}, {a});
  82     EXPECT_TRUE(test::all_close_f(
  83         (vector<float>{
  84             0.f, 0.f, 1.f, 1.f, 2.f, 2.f, 2.f, 2.f, 3.f, -1.f, -2.f, -2.f, -2.f, -2.f, -3.f}),
  85         read_vector<float>(result),
  86         MIN_FLOAT_TOLERANCE_BITS));
  87 }
  88
  89 NGRAPH_TEST(${BACKEND_NAME}, round_int64)
  90 {
  91     // This tests large numbers that will not fit in a double
  92     Shape shape{3};
  93     auto A = make_shared<op::Parameter>(element::i64, shape);
  94     auto f = make_shared<Function>(make_shared<op::Round>(A), ParameterVector{A});
  95
  96     auto backend = runtime::Backend::create("${BACKEND_NAME}");
  97
  98     auto a = backend->create_tensor(element::i64, shape);
  99     vector<int64_t> expected{0, 1, 0x4000000000000001};
 100     copy_data(a, expected);
 101     auto result = backend->create_tensor(element::i64, shape);
 102
 103     auto handle = backend->compile(f);
 104     handle->call_with_validate({result}, {a});
 105     EXPECT_EQ(expected, read_vector<int64_t>(result));
 106 }