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
113 lines
4.1 KiB
C++
113 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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// 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 ${BACKEND_NAME}_DOUBLE_TOLERANCE_BITS
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#endif
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// clang-format on
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#include "gtest/gtest.h"
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#include "runtime/backend.hpp"
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#include "ngraph/runtime/tensor.hpp"
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#include "ngraph/ngraph.hpp"
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#include "util/all_close.hpp"
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#include "util/all_close_f.hpp"
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#include "util/ndarray.hpp"
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#include "util/test_control.hpp"
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#include "engines_util/execute_tools.hpp"
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using namespace std;
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using namespace ngraph;
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static string s_manifest = "${MANIFEST}";
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NGRAPH_TEST(${BACKEND_NAME}, partial_slice_static) {
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Shape shape_x{2, 3, 2};
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auto x = make_shared<op::Parameter>(element::f32, shape_x);
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AxisVector axes{0, 1};
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vector<int64_t> lower_bounds{1, 0};
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vector<int64_t> upper_bounds{2, 2};
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AxisVector decrease_axes{};
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auto f = make_shared<Function>(make_shared<op::PartialSlice>(x, axes, lower_bounds, upper_bounds, decrease_axes),
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ParameterVector{x});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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// Create some tensors for input/output
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auto t_x = backend->create_tensor(element::f32, shape_x);
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vector<float> v_x{0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f};
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copy_data(t_x, v_x);
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auto t_r = backend->create_tensor(element::f32, Shape{1, 2, 2});
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auto handle = backend->compile(f);
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handle->call_with_validate({t_r}, {t_x});
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vector<float> v_r{6.f, 7.f, 8.f, 9.f};
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ASSERT_EQ(t_r->get_shape(), (Shape{1, 2, 2}));
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EXPECT_TRUE(test::all_close_f(v_r, read_vector<float>(t_r)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, partial_slice_partial_shape) {
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auto pshape_x = PartialShape{Dimension::dynamic(), 3, Dimension::dynamic()};
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auto x = make_shared<op::Parameter>(element::f32, pshape_x);
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AxisVector axes{0, 1};
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vector<int64_t> lower_bounds{1, 0};
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vector<int64_t> upper_bounds{2, 2};
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AxisVector decrease_axes{};
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auto f = make_shared<Function>(make_shared<op::PartialSlice>(x, axes, lower_bounds, upper_bounds, decrease_axes),
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ParameterVector{x});
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auto backend = runtime::Backend::create("${BACKEND_NAME}", true);
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// Create some tensors for input/output
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Shape shape_x{2, 3, 2};
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auto t_x = backend->create_tensor(element::f32, shape_x);
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vector<float> v_x{0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f};
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copy_data(t_x, v_x);
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auto t_r = backend->create_dynamic_tensor(element::f32, PartialShape::dynamic());
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auto handle = backend->compile(f);
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handle->call_with_validate({t_r}, {t_x});
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vector<float> v_r{6.f, 7.f, 8.f, 9.f};
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ASSERT_EQ(t_r->get_shape(), (Shape{1, 2, 2}));
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EXPECT_TRUE(test::all_close_f(v_r, read_vector<float>(t_r)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, partial_slice_unkown_rank) {
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auto pshape_x = PartialShape::dynamic();
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auto x = make_shared<op::Parameter>(element::f32, pshape_x);
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AxisVector axes{0, 1};
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vector<int64_t> lower_bounds{1, 0};
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vector<int64_t> upper_bounds{2, 2};
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AxisVector decrease_axes{};
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auto f = make_shared<Function>(make_shared<op::PartialSlice>(x, axes, lower_bounds, upper_bounds, decrease_axes),
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ParameterVector{x});
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auto backend = runtime::Backend::create("${BACKEND_NAME}", true);
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// Create some tensors for input/output
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Shape shape_x{2, 3, 2};
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auto t_x = backend->create_tensor(element::f32, shape_x);
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vector<float> v_x{0.f, 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f, 9.f, 10.f, 11.f};
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copy_data(t_x, v_x);
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auto t_r = backend->create_dynamic_tensor(element::f32, PartialShape::dynamic());
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auto handle = backend->compile(f);
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handle->call_with_validate({t_r}, {t_x});
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vector<float> v_r{6.f, 7.f, 8.f, 9.f};
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ASSERT_EQ(t_r->get_shape(), (Shape{1, 2, 2}));
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EXPECT_TRUE(test::all_close_f(v_r, read_vector<float>(t_r)));
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}
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