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
333 lines
14 KiB
C++
333 lines
14 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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// 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 ${BACKEND_NAME}_DOUBLE_TOLERANCE_BITS
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#endif
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// clang-format on
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#include "gtest/gtest.h"
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#include "runtime/backend.hpp"
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#include "ngraph/runtime/tensor.hpp"
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#include "ngraph/ngraph.hpp"
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#include "util/all_close.hpp"
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#include "util/all_close_f.hpp"
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#include "util/ndarray.hpp"
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#include "util/test_control.hpp"
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#include "engines_util/execute_tools.hpp"
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NGRAPH_SUPPRESS_DEPRECATED_START
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using namespace std;
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using namespace ngraph;
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static string s_manifest = "${MANIFEST}";
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NGRAPH_TEST(${BACKEND_NAME}, log_softmax_1d_single_value) {
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Shape shape{1};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{1});
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auto result = backend->create_tensor(element::f32, shape);
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std::vector<float> expected_result{0};
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auto f = make_shared<Function>(make_shared<op::v5::LogSoftmax>(A, 0), ParameterVector{A});
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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(expected_result, read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, log_softmax_2d_axis0) {
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Shape shape{2, 4};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{0, 1, 2, 3, 10000, 10001, 10002, 10003});
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auto result = backend->create_tensor(element::f32, shape);
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std::vector<float> expected_result{-10000., -10000., -10000., -10000., 0., 0., 0., 0.};
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auto f = make_shared<Function>(make_shared<op::v5::LogSoftmax>(A, 0), ParameterVector{A});
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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(expected_result, read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, log_softmax_2d_axis1) {
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Shape shape{2, 4};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{0, 1, 2, 3, 10000, 10001, 10002, 10003});
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auto result = backend->create_tensor(element::f32, shape);
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std::vector<float>
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expected_result{-3.4401896, -2.4401896, -1.4401897, -0.4401897, -3.4401896, -2.4401896, -1.4401897, -0.4401897};
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auto f = make_shared<Function>(make_shared<op::v5::LogSoftmax>(A, 1), ParameterVector{A});
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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(expected_result, read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, log_softmax_2d_axis_neg1) {
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Shape shape{2, 4};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{0, 1, 2, 3, 10000, 10001, 10002, 10003});
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auto result = backend->create_tensor(element::f32, shape);
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std::vector<float>
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expected_result{-3.4401896, -2.4401896, -1.4401897, -0.4401897, -3.4401896, -2.4401896, -1.4401897, -0.4401897};
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auto f = make_shared<Function>(make_shared<op::v5::LogSoftmax>(A, -1), ParameterVector{A});
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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(expected_result, read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, log_softmax_2d_axis_neg2) {
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Shape shape{2, 4};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{0, 1, 2, 3, 10000, 10001, 10002, 10003});
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auto result = backend->create_tensor(element::f32, shape);
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std::vector<float> expected_result{-10000., -10000., -10000., -10000., 0., 0., 0., 0.};
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auto f = make_shared<Function>(make_shared<op::v5::LogSoftmax>(A, -2), ParameterVector{A});
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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(expected_result, read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, log_softmax_3d_axis_0) {
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Shape shape{3, 2, 3};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{-9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8});
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auto result = backend->create_tensor(element::f32, shape);
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std::vector<float> expected_result{-12.0024818,
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-12.0024818,
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-12.0024818,
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-12.0024818,
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-12.0024818,
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-12.0024818,
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-6.00248181,
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-6.00248181,
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-6.00248181,
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-6.00248181,
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-6.00248181,
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-6.00248181,
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-2.48181414e-03,
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-2.48181414e-03,
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-2.48181414e-03,
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-2.48181414e-03,
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-2.48181414e-03,
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-2.48181414e-03};
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auto f = make_shared<Function>(make_shared<op::v5::LogSoftmax>(A, 0), ParameterVector{A});
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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(expected_result, read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, log_softmax_3d_axis_1) {
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Shape shape{3, 2, 3};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{-9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8});
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auto result = backend->create_tensor(element::f32, shape);
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std::vector<float> expected_result{-3.04858735,
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-3.04858735,
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-3.04858735,
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-0.04858735,
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-0.04858735,
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-0.04858735,
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-3.04858735,
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-3.04858735,
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-3.04858735,
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-0.04858735,
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-0.04858735,
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-0.04858735,
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-3.04858735,
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-3.04858735,
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-3.04858735,
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-0.04858735,
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-0.04858735,
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-0.04858735};
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auto f = make_shared<Function>(make_shared<op::v5::LogSoftmax>(A, 1), ParameterVector{A});
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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(expected_result, read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, log_softmax_3d_axis_2) {
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Shape shape{3, 2, 3};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{-9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8});
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auto result = backend->create_tensor(element::f32, shape);
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std::vector<float> expected_result{-2.40760596,
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-1.40760596,
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-0.40760596,
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-2.40760596,
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-1.40760596,
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-0.40760596,
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-2.40760596,
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-1.40760596,
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-0.40760596,
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-2.40760596,
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-1.40760596,
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-0.40760596,
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-2.40760596,
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-1.40760596,
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-0.40760596,
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-2.40760596,
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-1.40760596,
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-0.40760596};
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auto f = make_shared<Function>(make_shared<op::v5::LogSoftmax>(A, 2), ParameterVector{A});
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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(expected_result, read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, log_softmax_3d_axis_neg1) {
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Shape shape{3, 2, 3};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{-9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8});
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auto result = backend->create_tensor(element::f32, shape);
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std::vector<float> expected_result{-2.40760596,
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-1.40760596,
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-0.40760596,
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-2.40760596,
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-1.40760596,
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-0.40760596,
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-2.40760596,
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-1.40760596,
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-0.40760596,
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-2.40760596,
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-1.40760596,
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-0.40760596,
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-2.40760596,
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-1.40760596,
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-0.40760596,
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-2.40760596,
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-1.40760596,
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-0.40760596};
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auto f = make_shared<Function>(make_shared<op::v5::LogSoftmax>(A, -1), ParameterVector{A});
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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(expected_result, read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, log_softmax_3d_axis_neg2) {
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Shape shape{3, 2, 3};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{-9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8});
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auto result = backend->create_tensor(element::f32, shape);
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std::vector<float> expected_result{-3.04858735,
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-3.04858735,
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-3.04858735,
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-0.04858735,
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-0.04858735,
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-0.04858735,
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-3.04858735,
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-3.04858735,
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-3.04858735,
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-0.04858735,
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-0.04858735,
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-0.04858735,
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-3.04858735,
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-3.04858735,
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-3.04858735,
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-0.04858735,
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-0.04858735,
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-0.04858735};
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auto f = make_shared<Function>(make_shared<op::v5::LogSoftmax>(A, -2), ParameterVector{A});
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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(expected_result, read_vector<float>(result)));
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}
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NGRAPH_TEST(${BACKEND_NAME}, log_softmax_3d_axis_neg3) {
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Shape shape{3, 2, 3};
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auto A = make_shared<op::Parameter>(element::f32, shape);
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auto backend = runtime::Backend::create("${BACKEND_NAME}");
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auto a = backend->create_tensor(element::f32, shape);
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copy_data(a, vector<float>{-9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8});
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auto result = backend->create_tensor(element::f32, shape);
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std::vector<float> expected_result{-12.0024818,
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-12.0024818,
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-12.0024818,
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-12.0024818,
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-12.0024818,
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-12.0024818,
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-6.00248181,
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-6.00248181,
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-6.00248181,
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-6.00248181,
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-6.00248181,
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-6.00248181,
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-2.48181414e-03,
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-2.48181414e-03,
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-2.48181414e-03,
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-2.48181414e-03,
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-2.48181414e-03,
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-2.48181414e-03};
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auto f = make_shared<Function>(make_shared<op::v5::LogSoftmax>(A, -3), ParameterVector{A});
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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(expected_result, read_vector<float>(result)));
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}
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