97 lines
3.9 KiB
C++
97 lines
3.9 KiB
C++
//*****************************************************************************
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// Copyright 2017-2020 Intel Corporation
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//*****************************************************************************
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#include "gtest/gtest.h"
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#include "ngraph/ngraph.hpp"
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#include "ngraph/runtime/tensor.hpp"
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#include "runtime/backend.hpp"
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#include "util/all_close.hpp"
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#include "util/all_close_f.hpp"
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#include "util/ndarray.hpp"
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#include "util/test_control.hpp"
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#include "util/test_tools.hpp"
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NGRAPH_SUPPRESS_DEPRECATED_START
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using namespace std;
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using namespace ngraph;
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static string s_manifest = "${MANIFEST}";
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NGRAPH_TEST(${BACKEND_NAME}, numeric_float_nan)
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{
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Shape shape{5};
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auto A = op::Constant::create(element::f32, shape, {-2.5f, 25.5f, 2.25f, NAN, 6.0f});
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auto B = op::Constant::create(element::f32, shape, {10.0f, 5.0f, 2.25f, 10.0f, NAN});
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auto f = make_shared<Function>(make_shared<op::Equal>(A, B), ParameterVector{});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto result = backend->create_tensor(element::boolean, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {});
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EXPECT_EQ((vector<char>{false, false, true, false, false}), read_vector<char>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, numeric_double_nan)
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{
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Shape shape{5};
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auto A = op::Constant::create(element::f64, shape, {-2.5f, 25.5f, 2.25f, NAN, 6.0f});
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auto B = op::Constant::create(element::f64, shape, {10.0f, 5.0f, 2.25f, 10.0f, NAN});
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auto f = make_shared<Function>(make_shared<op::Equal>(A, B), ParameterVector{});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto result = backend->create_tensor(element::boolean, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {});
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EXPECT_EQ((vector<char>{false, false, true, false, false}), read_vector<char>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, numeric_float_inf)
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{
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Shape shape{5};
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auto A = op::Constant::create(element::f32, shape, {-2.5f, 25.5f, 2.25f, INFINITY, 6.0f});
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auto B = op::Constant::create(element::f32, shape, {10.0f, 5.0f, 2.25f, 10.0f, -INFINITY});
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auto f = make_shared<Function>(make_shared<op::Equal>(A, B), ParameterVector{});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto result = backend->create_tensor(element::boolean, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {});
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EXPECT_EQ((vector<char>{false, false, true, false, false}), read_vector<char>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, numeric_double_inf)
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{
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Shape shape{5};
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auto A = op::Constant::create(element::f64, shape, {-2.5f, 25.5f, 2.25f, INFINITY, 6.0f});
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auto B = op::Constant::create(element::f64, shape, {10.0f, 5.0f, 2.25f, 10.0f, -INFINITY});
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auto f = make_shared<Function>(make_shared<op::Equal>(A, B), ParameterVector{});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto result = backend->create_tensor(element::boolean, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {});
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EXPECT_EQ((vector<char>{false, false, true, false, false}), read_vector<char>(result));
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}
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