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
78 lines
2.5 KiB
C++
78 lines
2.5 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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#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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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}, tile_3d_small_data_rank) {
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Shape shape_a{3};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_re{3};
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auto repeats = make_shared<op::Constant>(element::i64, shape_re, vector<int>{2, 2, 1});
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Shape shape_r{2, 2, 3};
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auto tile = make_shared<op::v0::Tile>(A, repeats);
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auto f = make_shared<Function>(tile, ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto a = backend->create_tensor(element::f32, shape_a);
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copy_data(a, vector<float>{1, 2, 3});
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auto result = backend->create_tensor(element::f32, shape_r);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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EXPECT_TRUE(test::all_close_f(vector<float>{1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3},
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read_vector<float>(result),
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MIN_FLOAT_TOLERANCE_BITS));
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}
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NGRAPH_TEST(${BACKEND_NAME}, tile_3d_few_repeats) {
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Shape shape_a{2, 1, 3};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_re{2};
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auto repeats = make_shared<op::Constant>(element::i64, shape_re, vector<int>{2, 1});
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Shape shape_r{2, 2, 3};
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auto tile = make_shared<op::v0::Tile>(A, repeats);
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auto f = make_shared<Function>(tile, ParameterVector{A});
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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_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_r);
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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, 2, 3, 1, 2, 3, 4, 5, 6, 4, 5, 6},
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read_vector<float>(result),
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MIN_FLOAT_TOLERANCE_BITS));
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}
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