109 lines
4.1 KiB
C++
109 lines
4.1 KiB
C++
//*****************************************************************************
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// Copyright 2017-2020 Intel Corporation
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//*****************************************************************************
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#include "gtest/gtest.h"
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#include "ngraph/ngraph.hpp"
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#include "util/all_close.hpp"
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#include "util/test_tools.hpp"
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using namespace ngraph;
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using namespace std;
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shared_ptr<runtime::Tensor>
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make_reduce_result(function<shared_ptr<Node>(const shared_ptr<Node>&, const AxisSet&)> func)
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{
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Shape shape_a{3, 2};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_rt{2};
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auto f = make_shared<Function>(func(A, {0}), ParameterVector{A});
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auto backend = runtime::Backend::create("INTERPRETER");
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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_rt);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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return result;
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}
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shared_ptr<runtime::Tensor> make_reduce_result_true(
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function<shared_ptr<Node>(const shared_ptr<Node>&, const AxisSet&, bool)> func)
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{
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Shape shape_a{3, 2};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_rt{2};
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auto f = make_shared<Function>(func(A, {0}, true), ParameterVector{A});
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auto backend = runtime::Backend::create("INTERPRETER");
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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_rt);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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return result;
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}
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shared_ptr<runtime::Tensor> make_reduce_result_false(
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function<shared_ptr<Node>(const shared_ptr<Node>&, const AxisSet&, bool)> func)
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{
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Shape shape_a{3, 2};
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auto A = make_shared<op::Parameter>(element::f32, shape_a);
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Shape shape_rt{2};
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auto f = make_shared<Function>(func(A, {0}, false), ParameterVector{A});
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auto backend = runtime::Backend::create("INTERPRETER");
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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_rt);
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auto handle = backend->compile(f);
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handle->call_with_validate({result}, {a});
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return result;
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}
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TEST(builder, l2_norm)
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{
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auto result = make_reduce_result(builder::l2_norm);
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ASSERT_TRUE(test::all_close((vector<float>{5.9160797831f, 7.48331477355f}),
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read_vector<float>(result)));
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}
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TEST(builder, mean)
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{
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auto result = make_reduce_result(builder::mean);
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ASSERT_TRUE(test::all_close((vector<float>{3, 4}), read_vector<float>(result)));
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}
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TEST(builder, std_dev)
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{
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auto result = make_reduce_result_false(builder::std_dev);
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ASSERT_TRUE(test::all_close((vector<float>{1.63299316186f, 1.63299316186f}),
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read_vector<float>(result)));
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result = make_reduce_result_true(builder::std_dev);
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ASSERT_TRUE(test::all_close((vector<float>{2, 2}), read_vector<float>(result)));
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}
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TEST(builder, variance)
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{
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auto result = make_reduce_result_false(builder::variance);
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ASSERT_TRUE(test::all_close((vector<float>{2.66666666666f, 2.66666666666f}),
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read_vector<float>(result)));
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result = make_reduce_result_true(builder::variance);
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ASSERT_TRUE(test::all_close((vector<float>{4, 4}), read_vector<float>(result)));
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}
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