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https://github.com/PaddlePaddle/FastDeploy.git
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113 lines
4.5 KiB
C++
113 lines
4.5 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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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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#include "fastdeploy/core/fd_tensor.h"
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#include "fastdeploy/function/split.h"
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#include "glog/logging.h"
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#include "gtest_utils.h"
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#include "gtest/gtest.h"
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#include <array>
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#include <vector>
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namespace fastdeploy {
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namespace function {
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std::vector<float> CreateTestData() {
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// Shape: [2, 3, 4]
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std::vector<float> x_data = {
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0.8428625, 0.6461913, 0.13740455, 0.11430702, 0.659926, 0.535816,
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0.7429162, 0.8456049, 0.21228176, 0.29970083, 0.8621713, 0.40894133,
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0.12684688, 0.1566195, 0.42884097, 0.8476526, 0.2458633, 0.669046,
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0.87888306, 0.6762589, 0.666453, 0.32523027, 0.4139388, 0.8341406};
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return x_data;
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}
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TEST(fastdeploy, split_axis0) {
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CheckShape check_shape;
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CheckData check_data;
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FDTensor x;
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std::vector<FDTensor> out;
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auto test_data = CreateTestData();
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x.SetExternalData({2, 3, 4}, FDDataType::FP32, test_data.data());
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Split(x, {1, 1}, &out, 0);
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ASSERT_EQ(out.size(), 2);
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check_shape(out[0].Shape(), {1, 3, 4});
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check_shape(out[1].Shape(), {1, 3, 4});
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std::vector<float> result1 = {0.842862, 0.646191, 0.137405, 0.114307,
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0.659926, 0.535816, 0.742916, 0.845605,
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0.212282, 0.299701, 0.862171, 0.408941};
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std::vector<float> result2 = {0.126847, 0.15662, 0.428841, 0.847653,
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0.245863, 0.669046, 0.878883, 0.676259,
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0.666453, 0.32523, 0.413939, 0.834141};
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check_data(reinterpret_cast<const float*>(out[0].Data()), result1.data(),
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result1.size());
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check_data(reinterpret_cast<const float*>(out[1].Data()), result2.data(),
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result2.size());
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}
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TEST(fastdeploy, split_axis1) {
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CheckShape check_shape;
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CheckData check_data;
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FDTensor x;
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std::vector<FDTensor> out;
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auto test_data = CreateTestData();
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x.SetExternalData({2, 3, 4}, FDDataType::FP32, test_data.data());
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Split(x, {2, 1}, &out, 1);
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ASSERT_EQ(out.size(), 2);
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check_shape(out[0].Shape(), {2, 2, 4});
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check_shape(out[1].Shape(), {2, 1, 4});
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std::vector<float> result1 = {0.842862, 0.646191, 0.137405, 0.114307,
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0.659926, 0.535816, 0.742916, 0.845605,
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0.126847, 0.15662, 0.428841, 0.847653,
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0.245863, 0.669046, 0.878883, 0.676259};
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std::vector<float> result2 = {0.212282, 0.299701, 0.862171, 0.408941,
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0.666453, 0.32523, 0.413939, 0.834141};
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check_data(reinterpret_cast<const float*>(out[0].Data()), result1.data(),
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result1.size());
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check_data(reinterpret_cast<const float*>(out[1].Data()), result2.data(),
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result2.size());
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}
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TEST(fastdeploy, split_axis2) {
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CheckShape check_shape;
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CheckData check_data;
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FDTensor x;
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std::vector<FDTensor> out;
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auto test_data = CreateTestData();
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x.SetExternalData({2, 3, 4}, FDDataType::FP32, test_data.data());
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Split(x, {1, 2, 1}, &out, 2);
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ASSERT_EQ(out.size(), 3);
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check_shape(out[0].Shape(), {2, 3, 1});
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check_shape(out[1].Shape(), {2, 3, 2});
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check_shape(out[2].Shape(), {2, 3, 1});
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std::vector<float> result1 = {0.842862, 0.659926, 0.212282,
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0.126847, 0.245863, 0.666453};
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std::vector<float> result2 = {0.646191, 0.137405, 0.535816, 0.742916,
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0.299701, 0.862171, 0.15662, 0.428841,
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0.669046, 0.878883, 0.32523, 0.413939};
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std::vector<float> result3 = {0.114307, 0.845605, 0.408941,
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0.847653, 0.676259, 0.834141};
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check_data(reinterpret_cast<const float*>(out[0].Data()), result1.data(),
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result1.size());
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check_data(reinterpret_cast<const float*>(out[1].Data()), result2.data(),
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result2.size());
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check_data(reinterpret_cast<const float*>(out[2].Data()), result3.data(),
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result3.size());
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}
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} // namespace function
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} // namespace fastdeploy
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