96 lines
3.8 KiB
C++
96 lines
3.8 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 "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}, select)
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{
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Shape shape{2, 2, 2};
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auto A = make_shared<op::Parameter>(element::boolean, shape);
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auto B = make_shared<op::Parameter>(element::f32, shape);
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auto C = make_shared<op::Parameter>(element::f32, shape);
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auto f = make_shared<Function>(make_shared<op::v1::Select>(A, B, C), ParameterVector{A, B, C});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::boolean, shape);
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copy_data(a, vector<char>{0, 1, 1, 0, 0, 1, 0, 1});
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auto b = backend->create_tensor(element::f32, shape);
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copy_data(b, vector<float>{1, 2, 3, 4, 5, 6, 7, 8});
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auto c = backend->create_tensor(element::f32, shape);
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copy_data(c, vector<float>{11, 12, 13, 14, 15, 16, 17, 18});
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auto result = backend->create_tensor(element::f32, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a, b, c});
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EXPECT_TRUE(test::all_close_f((vector<float>{11, 2, 3, 14, 15, 6, 17, 8}),
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read_vector<float>(result),
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MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, select_v1)
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{
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auto A = make_shared<op::Parameter>(element::boolean, Shape{4});
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auto B = make_shared<op::Parameter>(element::f32, Shape{4});
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auto C = make_shared<op::Parameter>(element::f32, Shape{2, 4});
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auto f = make_shared<Function>(make_shared<op::v1::Select>(A, B, C), ParameterVector{A, B, C});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::boolean, Shape{4});
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copy_data(a, vector<char>{0, 1, 1, 0});
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auto b = backend->create_tensor(element::f32, Shape{4});
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copy_data(b, vector<float>{1, 2, 3, 4});
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auto c = backend->create_tensor(element::f32, Shape{2, 4});
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copy_data(c, vector<float>{11, 12, 13, 14, 15, 16, 17, 18});
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auto result = backend->create_tensor(element::f32, Shape{2, 4});
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a, b, c});
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EXPECT_TRUE(
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test::all_close_f((vector<float>{11, 2, 3, 14, 15, 2, 3, 18}), read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, select_double)
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{
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Shape shape{2, 2, 2};
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auto A = make_shared<op::Parameter>(element::boolean, shape);
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auto B = make_shared<op::Parameter>(element::f64, shape);
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auto C = make_shared<op::Parameter>(element::f64, shape);
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auto f = make_shared<Function>(make_shared<op::v1::Select>(A, B, C), ParameterVector{A, B, C});
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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 a = backend->create_tensor(element::boolean, shape);
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copy_data(a, vector<char>{0, 1, 1, 0, 0, 1, 0, 1});
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auto b = backend->create_tensor(element::f64, shape);
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copy_data(b, vector<double>{1, 2, 3, 4, 5, 6, 7, 8});
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auto c = backend->create_tensor(element::f64, shape);
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copy_data(c, vector<double>{11, 12, 13, 14, 15, 16, 17, 18});
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auto result = backend->create_tensor(element::f64, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a, b, c});
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EXPECT_TRUE(test::all_close_f((vector<double>{11, 2, 3, 14, 15, 6, 17, 8}),
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read_vector<double>(result)));
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}
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