112 lines
4.1 KiB
C++
112 lines
4.1 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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#include "gtest/gtest.h"
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#include "ngraph/log.hpp"
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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/random.hpp"
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#include "util/test_control.hpp"
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#include "util/test_tools.hpp"
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using namespace std;
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using namespace ngraph;
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static string s_manifest = "${MANIFEST}";
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NGRAPH_TEST(${BACKEND_NAME}, notequal)
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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::NotEqual>(A, B), ParameterVector{A, B});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{1, 8, -8, 17, -0.5, 0, 1, 1});
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auto b = backend->create_tensor(element::f32, shape);
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copy_data(b, vector<float>{1, 8, 4, 8, 0, 0, 1, 1.5});
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auto result = backend->create_tensor(element::boolean, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a, b});
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EXPECT_EQ((vector<char>{0, 0, 1, 1, 1, 0, 0, 1}), read_vector<char>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, greater)
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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::Greater>(A, B), ParameterVector{A, B});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{1, 8, -8, 17, -0.5, 0.5, 2, 1});
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auto b = backend->create_tensor(element::f32, shape);
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copy_data(b, vector<float>{1, 2, 4, 8, 0, 0, 1, 1.5});
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auto result = backend->create_tensor(element::boolean, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a, b});
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EXPECT_EQ((vector<char>{0, 1, 0, 1, 0, 1, 1, 0}), read_vector<char>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, greater_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::Greater>(A, B), ParameterVector{A, B});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::i64, shape);
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copy_data(a, vector<int64_t>{0x4000000000000002, 0x4000000000000006, -8, 17, -5, 5, 2, 1});
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auto b = backend->create_tensor(element::i64, shape);
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copy_data(b, vector<int64_t>{0x4000000000000001, 0x4000000000000002, 4, 8, 0, 0, 1, 2});
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auto result = backend->create_tensor(element::boolean, shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a, b});
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EXPECT_EQ((vector<char>{1, 1, 0, 1, 0, 1, 1, 0}), read_vector<char>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, greatereq)
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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::GreaterEqual>(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::f32, shape);
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copy_data(a, vector<float>{1, 8, -8, 17, -0.5, 0, 2, 1});
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auto b = backend->create_tensor(element::f32, shape);
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copy_data(b, vector<float>{1, 2, -8, 8, 0, 0, 0.5, 1.5});
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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}, {a, b});
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EXPECT_EQ((vector<char>{1, 1, 1, 1, 0, 1, 1, 0}), read_vector<char>(result));
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}
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