67 lines
2.3 KiB
C++
67 lines
2.3 KiB
C++
// Copyright (C) 2018-2021 Intel Corporation
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// SPDX-License-Identifier: Apache-2.0
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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 "util/all_close.hpp"
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#include "util/test_tools.hpp"
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using namespace ngraph;
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using namespace std;
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shared_ptr<runtime::Tensor>
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make_reduce_result(function<shared_ptr<Node>(const shared_ptr<Node>&, const AxisSet&)> func)
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{
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Shape shape_a{3, 2};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_rt{2};
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auto f = make_shared<Function>(func(A, {0}), ParameterVector{A});
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auto backend = runtime::Backend::create("INTERPRETER");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape_a);
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copy_data(a, vector<float>{1, 2, 3, 4, 5, 6});
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auto result = backend->create_tensor(element::f32, shape_rt);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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return result;
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}
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shared_ptr<runtime::Tensor> make_reduce_result_true(
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function<shared_ptr<Node>(const shared_ptr<Node>&, const AxisSet&, bool)> func)
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{
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Shape shape_a{3, 2};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_rt{2};
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auto f = make_shared<Function>(func(A, {0}, true), ParameterVector{A});
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auto backend = runtime::Backend::create("INTERPRETER");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape_a);
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copy_data(a, vector<float>{1, 2, 3, 4, 5, 6});
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auto result = backend->create_tensor(element::f32, shape_rt);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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return result;
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}
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shared_ptr<runtime::Tensor> make_reduce_result_false(
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function<shared_ptr<Node>(const shared_ptr<Node>&, const AxisSet&, bool)> func)
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{
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Shape shape_a{3, 2};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_rt{2};
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auto f = make_shared<Function>(func(A, {0}, false), ParameterVector{A});
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auto backend = runtime::Backend::create("INTERPRETER");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape_a);
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copy_data(a, vector<float>{1, 2, 3, 4, 5, 6});
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auto result = backend->create_tensor(element::f32, shape_rt);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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return result;
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}
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