faeaf045a9
* Moved FrameworkNode to nGraph * Moved graph comparator to ngraph test util * Fixed build * Try to fix centos * Fix export target * Moved engine utils to separate library * Removed ONNX util from common library * Fixed build * Fixed code style
100 lines
3.8 KiB
C++
100 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 "engines_util/execute_tools.hpp"
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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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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}, round_half_to_even) {
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Shape shape{5};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto f = make_shared<Function>(make_shared<op::v5::Round>(A, op::v5::Round::RoundMode::HALF_TO_EVEN),
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ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{0.9f, 2.5f, 2.3f, 1.5f, -4.5f});
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auto result = backend->create_tensor(element::f32, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f((vector<float>{1.0f, 2.0f, 2.0f, 2.0f, -4.0f}),
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read_vector<float>(result),
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MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, round_away_from_zero) {
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Shape shape{5};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto f = make_shared<Function>(make_shared<op::v5::Round>(A, op::v5::Round::RoundMode::HALF_AWAY_FROM_ZERO),
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ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{0.9f, 2.5f, 2.3f, 1.5f, -4.5f});
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auto result = backend->create_tensor(element::f32, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f((vector<float>{1.0f, 3.0f, 2.0f, 2.0f, -5.0f}),
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read_vector<float>(result),
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MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, round_2D) {
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Shape shape{3, 5};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto f = make_shared<Function>(make_shared<op::v5::Round>(A, op::v5::Round::RoundMode::HALF_TO_EVEN),
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ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(
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a,
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vector<float>{0.1f, 0.5f, 0.9f, 1.2f, 1.5f, 1.8f, 2.3f, 2.5f, 2.7f, -1.1f, -1.5f, -1.9f, -2.2f, -2.5f, -2.8f});
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auto result = backend->create_tensor(element::f32, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f(
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(vector<float>{0.f, 0.f, 1.f, 1.f, 2.f, 2.f, 2.f, 2.f, 3.f, -1.f, -2.f, -2.f, -2.f, -2.f, -3.f}),
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read_vector<float>(result),
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MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, round_int64) {
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// This tests large numbers that will not fit in a double
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Shape shape{3};
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auto A = make_shared<op::Parameter>(element::i64, shape);
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auto f = make_shared<Function>(make_shared<op::v5::Round>(A, op::v5::Round::RoundMode::HALF_TO_EVEN),
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ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::i64, shape);
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vector<int64_t> expected{0, 1, 0x4000000000000001};
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copy_data(a, expected);
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auto result = backend->create_tensor(element::i64, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_EQ(expected, read_vector<int64_t>(result));
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}
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