* 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
191 lines
7.0 KiB
C++
191 lines
7.0 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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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}, shape_of_scalar_v0) {
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Shape input_shape{};
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Shape output_shape{0};
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auto A = std::make_shared<op::Parameter>(element::f32, input_shape);
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auto f = std::make_shared<Function>(std::make_shared<op::v0::ShapeOf>(A), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, input_shape);
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copy_data(a, vector<float>{0});
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auto result = backend->create_tensor(element::i64, output_shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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vector<int64_t> expected{};
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EXPECT_EQ(expected, read_vector<int64_t>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, shape_of_scalar_v3) {
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Shape input_shape{};
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Shape output_shape{0};
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auto A = std::make_shared<op::Parameter>(element::f32, input_shape);
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auto f = std::make_shared<Function>(
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OutputVector{std::make_shared<op::v3::ShapeOf>(A), std::make_shared<op::v3::ShapeOf>(A, element::i32)},
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ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, input_shape);
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copy_data(a, vector<float>{0});
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auto result64 = backend->create_tensor(element::i64, output_shape);
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auto result32 = backend->create_tensor(element::i32, output_shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result64, result32}, {a});
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vector<int64_t> expected64{};
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vector<int32_t> expected32{};
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EXPECT_EQ(expected64, read_vector<int64_t>(result64));
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EXPECT_EQ(expected32, read_vector<int32_t>(result32));
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}
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NGRAPH_TEST(${BACKEND_NAME}, shape_of_vector_v0) {
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Shape input_shape{2};
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Shape output_shape{1};
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auto A = std::make_shared<op::Parameter>(element::f32, input_shape);
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auto f = std::make_shared<Function>(std::make_shared<op::v0::ShapeOf>(A), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, input_shape);
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copy_data(a, vector<float>(2, 0));
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auto result = backend->create_tensor(element::i64, output_shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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vector<int64_t> expected{2};
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EXPECT_EQ(expected, read_vector<int64_t>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, shape_of_vector_v3) {
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Shape input_shape{2};
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Shape output_shape{1};
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auto A = std::make_shared<op::Parameter>(element::f32, input_shape);
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auto f = std::make_shared<Function>(
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OutputVector{std::make_shared<op::v3::ShapeOf>(A), std::make_shared<op::v3::ShapeOf>(A, element::i32)},
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ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, input_shape);
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copy_data(a, vector<float>{2, 0});
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auto result64 = backend->create_tensor(element::i64, output_shape);
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auto result32 = backend->create_tensor(element::i32, output_shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result64, result32}, {a});
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vector<int64_t> expected64{2};
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vector<int32_t> expected32{2};
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EXPECT_EQ(expected64, read_vector<int64_t>(result64));
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EXPECT_EQ(expected32, read_vector<int32_t>(result32));
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}
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NGRAPH_TEST(${BACKEND_NAME}, shape_of_matrix_v0) {
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Shape input_shape{2, 4};
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Shape output_shape{2};
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auto A = std::make_shared<op::Parameter>(element::f32, input_shape);
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auto f = std::make_shared<Function>(std::make_shared<op::v0::ShapeOf>(A), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, input_shape);
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copy_data(a, vector<float>(2 * 4, 0));
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auto result = backend->create_tensor(element::i64, output_shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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vector<int64_t> expected{2, 4};
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EXPECT_EQ(expected, read_vector<int64_t>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, shape_of_matrix_v3) {
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Shape input_shape{2, 4};
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Shape output_shape{2};
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auto A = std::make_shared<op::Parameter>(element::f32, input_shape);
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auto f = std::make_shared<Function>(
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OutputVector{std::make_shared<op::v3::ShapeOf>(A), std::make_shared<op::v3::ShapeOf>(A, element::i32)},
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ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, input_shape);
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copy_data(a, vector<float>(2 * 4, 0));
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auto result64 = backend->create_tensor(element::i64, output_shape);
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auto result32 = backend->create_tensor(element::i32, output_shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result64, result32}, {a});
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vector<int64_t> expected64{2, 4};
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vector<int32_t> expected32{2, 4};
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EXPECT_EQ(expected64, read_vector<int64_t>(result64));
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EXPECT_EQ(expected32, read_vector<int32_t>(result32));
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}
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NGRAPH_TEST(${BACKEND_NAME}, shape_of_5d_v0) {
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Shape input_shape{2, 4, 8, 16, 32};
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Shape output_shape{5};
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auto A = std::make_shared<op::Parameter>(element::f32, input_shape);
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auto f = std::make_shared<Function>(std::make_shared<op::v0::ShapeOf>(A), ParameterVector{A});
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, input_shape);
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copy_data(a, vector<float>(2 * 4 * 8 * 16 * 32, 0));
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auto result = backend->create_tensor(element::i64, output_shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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vector<int64_t> expected{2, 4, 8, 16, 32};
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EXPECT_EQ(expected, read_vector<int64_t>(result));
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}
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NGRAPH_TEST(${BACKEND_NAME}, shape_of_5d_v3) {
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Shape input_shape{2, 4, 8, 16, 32};
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Shape output_shape{5};
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auto A = std::make_shared<op::Parameter>(element::f32, input_shape);
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auto f = std::make_shared<Function>(
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OutputVector{std::make_shared<op::v3::ShapeOf>(A), std::make_shared<op::v3::ShapeOf>(A, element::i32)},
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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, input_shape);
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copy_data(a, vector<float>(2 * 4 * 8 * 16 * 32, 0));
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auto result64 = backend->create_tensor(element::i64, output_shape);
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auto result32 = backend->create_tensor(element::i32, output_shape);
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auto handle = backend->compile(f);
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handle->call_with_validate({result64, result32}, {a});
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vector<int64_t> expected64{2, 4, 8, 16, 32};
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vector<int32_t> expected32{2, 4, 8, 16, 32};
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EXPECT_EQ(expected64, read_vector<int64_t>(result64));
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EXPECT_EQ(expected32, read_vector<int32_t>(result32));
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}
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