87 lines
3.0 KiB
C++
87 lines
3.0 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 <fstream>
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#include "gtest/gtest.h"
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#include "ngraph/ngraph.hpp"
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#include "util/engine/test_engines.hpp"
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#include "util/test_case.hpp"
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#include "util/test_control.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 = "${MANIFEST}";
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using TestEngine = test::ENGINE_CLASS_NAME(${BACKEND_NAME});
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NGRAPH_TEST(${BACKEND_NAME}, region_yolo_v2_caffe)
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{
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const size_t num = 5;
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const size_t coords = 4;
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const size_t classes = 20;
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const size_t batch = 1;
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const size_t channels = 125;
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const size_t width = 13;
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const size_t height = 13;
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const size_t count = width * height * channels;
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const std::vector<int64_t> mask{0, 1, 2};
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Shape input_shape{batch, channels, height, width};
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Shape output_shape{batch, channels * height * width};
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auto A = make_shared<op::Parameter>(element::f32, input_shape);
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auto R = make_shared<op::v0::RegionYolo>(A, coords, classes, num, true, mask, 1, 3);
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auto f = make_shared<Function>(R, ParameterVector{A});
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auto test_case = test::TestCase<TestEngine>(f);
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test_case.add_input_from_file<float>(input_shape, TEST_FILES, "region_in_yolov2_caffe.data");
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test_case.add_expected_output_from_file<float>(
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output_shape, TEST_FILES, "region_out_yolov2_caffe.data");
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test_case.run_with_tolerance_as_fp(1.0e-4f);
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}
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NGRAPH_TEST(${BACKEND_NAME}, region_yolo_v3_mxnet)
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{
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const size_t num = 9;
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const size_t coords = 4;
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const size_t classes = 20;
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const size_t batch = 1;
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const size_t channels = 75;
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const size_t width = 32;
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const size_t height = 32;
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const std::vector<int64_t> mask{0, 1, 2};
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Shape shape{batch, channels, height, width};
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const auto count = shape_size(shape);
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const auto A = make_shared<op::Parameter>(element::f32, shape);
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const auto R = make_shared<op::v0::RegionYolo>(A, coords, classes, num, false, mask, 1, 3);
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const auto f = make_shared<Function>(R, ParameterVector{A});
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EXPECT_EQ(R->get_output_shape(0), shape);
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auto test_case = test::TestCase<TestEngine>(f);
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test_case.add_input_from_file<float>(shape, TEST_FILES, "region_in_yolov3_mxnet.data");
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test_case.add_expected_output_from_file<float>(
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shape, TEST_FILES, "region_out_yolov3_mxnet.data");
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test_case.run_with_tolerance_as_fp(1.0e-4f);
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}
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