104 lines
3.5 KiB
C++
104 lines
3.5 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 <algorithm>
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#include <cinttypes>
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#include <cmath>
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#include <cstdlib>
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#include <random>
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#include <string>
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// clang-format off
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#ifdef ${BACKEND_NAME}_FLOAT_TOLERANCE_BITS
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#define DEFAULT_FLOAT_TOLERANCE_BITS ${BACKEND_NAME}_FLOAT_TOLERANCE_BITS
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#endif
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#ifdef ${BACKEND_NAME}_DOUBLE_TOLERANCE_BITS
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#define DEFAULT_DOUBLE_TOLERANCE_BITS ${BACKEND_NAME}_DOUBLE_TOLERANCE_BITS
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#endif
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// clang-format on
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#include "gtest/gtest.h"
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#include "ngraph/ngraph.hpp"
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#include "util/engine/test_engines.hpp"
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#include "util/test_case.hpp"
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#include "util/test_control.hpp"
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using namespace std;
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using namespace ngraph;
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static string s_manifest = "${MANIFEST}";
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using TestEngine = test::ENGINE_CLASS_NAME(${BACKEND_NAME});
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NGRAPH_TEST(${BACKEND_NAME}, minimum)
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{
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Shape shape{2, 2, 2};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto B = make_shared<op::Parameter>(element::f32, shape);
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auto f = make_shared<Function>(make_shared<op::v1::Minimum>(A, B), ParameterVector{A, B});
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std::vector<float> a{1, 8, -8, 17, -0.5, 0.5, 2, 1};
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std::vector<float> b{1, 2, 4, 8, 0, 0, 1, 1.5};
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auto test_case = test::TestCase<TestEngine>(f);
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test_case.add_multiple_inputs<float>({a, b});
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test_case.add_expected_output<float>(shape, {1, 2, -8, 8, -.5, 0, 1, 1});
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test_case.run();
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}
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NGRAPH_TEST(${BACKEND_NAME}, minimum_int32)
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{
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Shape shape{2, 2, 2};
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auto A = make_shared<op::Parameter>(element::i32, shape);
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auto B = make_shared<op::Parameter>(element::i32, shape);
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auto f = make_shared<Function>(make_shared<op::v1::Minimum>(A, B), ParameterVector{A, B});
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std::vector<int32_t> a{1, 8, -8, 17, -5, 67635216, 2, 1};
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std::vector<int32_t> b{1, 2, 4, 8, 0, 18448, 1, 6};
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auto test_case = test::TestCase<TestEngine>(f);
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test_case.add_multiple_inputs<int32_t>({a, b});
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test_case.add_expected_output<int32_t>(shape, {1, 2, -8, 8, -5, 18448, 1, 1});
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test_case.run();
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}
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NGRAPH_TEST(${BACKEND_NAME}, minimum_int64)
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{
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Shape shape{2, 2, 2};
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auto A = make_shared<op::Parameter>(element::i64, shape);
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auto B = make_shared<op::Parameter>(element::i64, shape);
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auto f = make_shared<Function>(make_shared<op::v1::Minimum>(A, B), ParameterVector{A, B});
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std::vector<int64_t> a{1, 8, -8, 17, -5, 67635216, 2, 17179887632};
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std::vector<int64_t> b{1, 2, 4, 8, 0, 18448, 1, 280592};
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auto test_case = test::TestCase<TestEngine>(f);
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test_case.add_multiple_inputs<int64_t>({a, b});
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test_case.add_expected_output<int64_t>(shape, {1, 2, -8, 8, -5, 18448, 1, 280592});
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test_case.run();
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}
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// TODO Refactor to use TestCase if u16 will be handled correctly
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NGRAPH_TEST(${BACKEND_NAME}, minimum_u16)
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{
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const Shape shape{3};
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const auto A = make_shared<op::Parameter>(element::u16, shape);
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const auto B = make_shared<op::Parameter>(element::u16, shape);
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auto f = make_shared<Function>(make_shared<op::v1::Minimum>(A, B), ParameterVector{A, B});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::u16, shape);
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copy_data(a, std::vector<uint16_t>{3, 2, 1});
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auto b = backend->create_tensor(element::u16, shape);
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copy_data(b, std::vector<uint16_t>{1, 4, 4});
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auto result = backend->create_tensor(element::u16, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a, b});
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EXPECT_TRUE(test::all_close((std::vector<uint16_t>{1, 2, 1}), read_vector<uint16_t>(result)));
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}
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