mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-11-01 04:12:58 +08:00
312e1b097d
* Refactor PaddleSeg with preprocessor && postprocessor * Fix bugs * Delete redundancy code * Modify by comments * Refactor according to comments * Add batch evaluation * Add single test script * Add ppliteseg single test script && fix eval(raise) error * fix bug * Fix evaluation segmentation.py batch predict * Fix segmentation evaluation bug * Fix evaluation segmentation bugs Co-authored-by: Jason <jiangjiajun@baidu.com>
385 lines
14 KiB
C++
385 lines
14 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/reduce.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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TEST(fastdeploy, reduce_max) {
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FDTensor input, output;
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CheckShape check_shape;
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CheckData check_data;
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std::vector<int> inputs = {2, 4, 3, 7, 1, 5};
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std::vector<int> expected_result_axis0 = {7, 4, 5};
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std::vector<int> expected_result_axis1 = {4, 7};
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std::vector<int> expected_result_noaxis = {7};
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input.SetExternalData({2, 3}, FDDataType::INT32, inputs.data());
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// keep_dim = true, reduce_all = false
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Max(input, &output, {0}, true);
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check_shape(output.shape, {1, 3});
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check_data(reinterpret_cast<const int*>(output.Data()),
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expected_result_axis0.data(), expected_result_axis0.size());
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// keep_dim = false, reduce_all = false
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Max(input, &output, {1});
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check_shape(output.shape, {2});
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check_data(reinterpret_cast<const int*>(output.Data()),
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expected_result_axis1.data(), expected_result_axis1.size());
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// keep_dim = false, reduce_all = true
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Max(input, &output, {1}, false, true);
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check_shape(output.shape, {1});
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check_data(reinterpret_cast<const int*>(output.Data()),
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expected_result_noaxis.data(), expected_result_noaxis.size());
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// test 1-D tensor
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input.shape = {6};
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Max(input, &output, {0});
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check_shape(output.shape, {1});
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check_data(reinterpret_cast<const int*>(output.Data()),
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expected_result_noaxis.data(), expected_result_noaxis.size());
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}
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TEST(fastdeploy, reduce_max_large_dim) {
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FDTensor input, output;
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CheckShape check_shape;
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CheckData check_data;
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std::vector<int> inputs = {2, 4, 3, 7, 1, 5, 6, 9};
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std::vector<int> expected_result_axis0 = {4, 7, 5, 9};
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input.SetExternalData({2, 1, 2, 1, 2}, FDDataType::INT32, inputs.data());
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// keep_dim = true, reduce_all = false
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Max(input, &output, {4}, true);
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check_shape(output.shape, {2, 1, 2, 1, 1});
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check_data(reinterpret_cast<const int*>(output.Data()),
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expected_result_axis0.data(), expected_result_axis0.size());
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// keep_dim = false, reduce_all = false
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Max(input, &output, {4});
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check_shape(output.shape, {2, 1, 2, 1});
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check_data(reinterpret_cast<const int*>(output.Data()),
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expected_result_axis0.data(), expected_result_axis0.size());
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}
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TEST(fastdeploy, reduce_min) {
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FDTensor input, output;
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CheckShape check_shape;
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CheckData check_data;
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std::vector<int> inputs = {2, 4, 3, 7, 1, 5};
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std::vector<int> expected_result_axis0 = {2, 1, 3};
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std::vector<int> expected_result_axis1 = {2, 1};
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std::vector<int> expected_result_noaxis = {1};
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input.SetExternalData({2, 3}, FDDataType::INT32, inputs.data());
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// keep_dim = true, reduce_all = false
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Min(input, &output, {0}, true);
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check_shape(output.shape, {1, 3});
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check_data(reinterpret_cast<const int*>(output.Data()),
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expected_result_axis0.data(), expected_result_axis0.size());
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// keep_dim = false, reduce_all = false
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Min(input, &output, {1});
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check_shape(output.shape, {2});
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check_data(reinterpret_cast<const int*>(output.Data()),
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expected_result_axis1.data(), expected_result_axis1.size());
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// keep_dim = false, reduce_all = true
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Min(input, &output, {1}, false, true);
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check_shape(output.shape, {1});
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check_data(reinterpret_cast<const int*>(output.Data()),
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expected_result_noaxis.data(), expected_result_noaxis.size());
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// test 1-D tensor
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input.shape = {6};
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Min(input, &output, {0});
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check_shape(output.shape, {1});
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check_data(reinterpret_cast<const int*>(output.Data()),
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expected_result_noaxis.data(), expected_result_noaxis.size());
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}
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TEST(fastdeploy, reduce_sum) {
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FDTensor input, output;
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CheckShape check_shape;
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CheckData check_data;
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std::vector<int> inputs = {2, 4, 3, 7, 1, 5};
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std::vector<int> expected_result_axis0 = {9, 5, 8};
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std::vector<int> expected_result_axis1 = {9, 13};
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std::vector<int> expected_result_noaxis = {22};
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input.SetExternalData({2, 3}, FDDataType::INT32, inputs.data());
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// keep_dim = true, reduce_all = false
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Sum(input, &output, {0}, true);
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check_shape(output.shape, {1, 3});
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check_data(reinterpret_cast<const int*>(output.Data()),
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expected_result_axis0.data(), expected_result_axis0.size());
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// keep_dim = false, reduce_all = false
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Sum(input, &output, {1});
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check_shape(output.shape, {2});
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check_data(reinterpret_cast<const int*>(output.Data()),
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expected_result_axis1.data(), expected_result_axis1.size());
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// keep_dim = false, reduce_all = true
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Sum(input, &output, {1}, false, true);
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check_shape(output.shape, {1});
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check_data(reinterpret_cast<const int*>(output.Data()),
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expected_result_noaxis.data(), expected_result_noaxis.size());
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// test 1-D tensor
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input.shape = {6};
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Sum(input, &output, {0});
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check_shape(output.shape, {1});
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check_data(reinterpret_cast<const int*>(output.Data()),
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expected_result_noaxis.data(), expected_result_noaxis.size());
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}
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TEST(fastdeploy, reduce_prod) {
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FDTensor input, output;
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CheckShape check_shape;
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CheckData check_data;
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std::vector<int> inputs = {2, 4, 3, 7, 1, 5};
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std::vector<int> expected_result_axis0 = {14, 4, 15};
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std::vector<int> expected_result_axis1 = {24, 35};
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std::vector<int> expected_result_noaxis = {840};
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input.SetExternalData({2, 3}, FDDataType::INT32, inputs.data());
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// keep_dim = true, reduce_all = false
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Prod(input, &output, {0}, true);
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check_shape(output.shape, {1, 3});
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check_data(reinterpret_cast<const int*>(output.Data()),
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expected_result_axis0.data(), expected_result_axis0.size());
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// keep_dim = false, reduce_all = false
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Prod(input, &output, {1});
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check_shape(output.shape, {2});
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check_data(reinterpret_cast<const int*>(output.Data()),
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expected_result_axis1.data(), expected_result_axis1.size());
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// keep_dim = false, reduce_all = true
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Prod(input, &output, {1}, false, true);
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check_shape(output.shape, {1});
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check_data(reinterpret_cast<const int*>(output.Data()),
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expected_result_noaxis.data(), expected_result_noaxis.size());
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// test 1-D tensor
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input.shape = {6};
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Prod(input, &output, {0});
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check_shape(output.shape, {1});
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check_data(reinterpret_cast<const int*>(output.Data()),
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expected_result_noaxis.data(), expected_result_noaxis.size());
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}
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TEST(fastdeploy, reduce_mean) {
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FDTensor input, output;
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CheckShape check_shape;
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CheckData check_data;
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std::vector<int> inputs = {2, 4, 3, 7, 1, 5};
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std::vector<int> expected_result_axis0 = {4, 2, 4};
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std::vector<int> expected_result_axis1 = {3, 4};
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std::vector<int> expected_result_noaxis = {3};
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input.SetExternalData({2, 3}, FDDataType::INT32, inputs.data());
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// keep_dim = true, reduce_all = false
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Mean(input, &output, {0}, true);
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check_shape(output.shape, {1, 3});
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check_data(reinterpret_cast<const int*>(output.Data()),
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expected_result_axis0.data(), expected_result_axis0.size());
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// keep_dim = false, reduce_all = false
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Mean(input, &output, {1});
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check_shape(output.shape, {2});
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check_data(reinterpret_cast<const int*>(output.Data()),
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expected_result_axis1.data(), expected_result_axis1.size());
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// keep_dim = false, reduce_all = true
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Mean(input, &output, {1}, false, true);
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check_shape(output.shape, {1});
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check_data(reinterpret_cast<const int*>(output.Data()),
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expected_result_noaxis.data(), expected_result_noaxis.size());
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// test 1-D tensor
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input.shape = {6};
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Mean(input, &output, {0});
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check_shape(output.shape, {1});
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check_data(reinterpret_cast<const int*>(output.Data()),
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expected_result_noaxis.data(), expected_result_noaxis.size());
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}
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TEST(fastdeploy, reduce_all) {
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FDTensor input, output;
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CheckShape check_shape;
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CheckData check_data;
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std::array<bool, 6> inputs = {false, false, true, true, false, true};
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std::array<bool, 3> expected_result_axis0 = {false, false, true};
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std::array<bool, 2> expected_result_axis1 = {false, false};
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std::array<bool, 1> expected_result_noaxis = {false};
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input.SetExternalData({2, 3}, FDDataType::BOOL, inputs.data());
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// keep_dim = true, reduce_all = false
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All(input, &output, {0}, true);
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check_shape(output.shape, {1, 3});
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check_data(reinterpret_cast<const bool*>(output.Data()),
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expected_result_axis0.data(), expected_result_axis0.size());
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// keep_dim = false, reduce_all = false
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All(input, &output, {1});
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check_shape(output.shape, {2});
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check_data(reinterpret_cast<const bool*>(output.Data()),
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expected_result_axis1.data(), expected_result_axis1.size());
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// keep_dim = false, reduce_all = true
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All(input, &output, {1}, false, true);
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check_shape(output.shape, {1});
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check_data(reinterpret_cast<const bool*>(output.Data()),
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expected_result_noaxis.data(), expected_result_noaxis.size());
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// test 1-D tensor
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input.shape = {6};
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All(input, &output, {0});
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check_shape(output.shape, {1});
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check_data(reinterpret_cast<const bool*>(output.Data()),
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expected_result_noaxis.data(), expected_result_noaxis.size());
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}
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TEST(fastdeploy, reduce_any) {
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FDTensor input, output;
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CheckShape check_shape;
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CheckData check_data;
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std::array<bool, 6> inputs = {false, false, true, true, false, true};
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std::array<bool, 3> expected_result_axis0 = {true, false, true};
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std::array<bool, 2> expected_result_axis1 = {true, true};
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std::array<bool, 1> expected_result_noaxis = {true};
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input.SetExternalData({2, 3}, FDDataType::BOOL, inputs.data());
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// keep_dim = true, reduce_all = false
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Any(input, &output, {0}, true);
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check_shape(output.shape, {1, 3});
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check_data(reinterpret_cast<const bool*>(output.Data()),
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expected_result_axis0.data(), expected_result_axis0.size());
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// keep_dim = false, reduce_all = false
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Any(input, &output, {1});
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check_shape(output.shape, {2});
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check_data(reinterpret_cast<const bool*>(output.Data()),
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expected_result_axis1.data(), expected_result_axis1.size());
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// keep_dim = false, reduce_all = true
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Any(input, &output, {1}, false, true);
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check_shape(output.shape, {1});
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check_data(reinterpret_cast<const bool*>(output.Data()),
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expected_result_noaxis.data(), expected_result_noaxis.size());
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// test 1-D tensor
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input.shape = {6};
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Any(input, &output, {0});
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check_shape(output.shape, {1});
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check_data(reinterpret_cast<const bool*>(output.Data()),
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expected_result_noaxis.data(), expected_result_noaxis.size());
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}
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TEST(fastdeploy, reduce_argmax) {
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FDTensor input, output;
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CheckShape check_shape;
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CheckData check_data;
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std::vector<int> inputs = {2, 4, 3, 7, 1, 5};
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std::vector<int64_t> expected_result_axis0 = {1, 0, 1};
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std::vector<uint8_t> expected_result_uint8_axis0 = {1, 0, 1};
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std::vector<int64_t> expected_result_axis1 = {1, 0};
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std::vector<int64_t> expected_result_noaxis = {3};
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input.SetExternalData({2, 3}, FDDataType::INT32, inputs.data());
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// axis = 0, output_dtype = FDDataType::INT64, keep_dim = false, flatten =
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// false
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ArgMax(input, &output, 0);
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check_shape(output.shape, {3});
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check_data(reinterpret_cast<const int64_t*>(output.Data()),
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expected_result_axis0.data(), expected_result_axis0.size());
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// axis = 0, output_dtype = FDDataType::UINT8, keep_dim = false, flatten =
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// false
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ArgMax(input, &output, 0, FDDataType::UINT8);
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check_shape(output.shape, {3});
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check_data(reinterpret_cast<const uint8_t*>(output.Data()),
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expected_result_uint8_axis0.data(), expected_result_axis0.size());
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// axis = -1, output_dtype = FDDataType::INT64, keep_dim = false, flatten =
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// false
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ArgMax(input, &output, -1);
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check_shape(output.shape, {2});
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check_data(reinterpret_cast<const int64_t*>(output.Data()),
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expected_result_axis1.data(), expected_result_axis1.size());
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// axis = -1, output_dtype = FDDataType::INT64, keep_dim = false, flatten =
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// true
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ArgMax(input, &output, -1, FDDataType::INT64, false, true);
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check_shape(output.shape, {1});
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check_data(reinterpret_cast<const int64_t*>(output.Data()),
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expected_result_noaxis.data(), expected_result_noaxis.size());
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}
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TEST(fastdeploy, reduce_argmin) {
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FDTensor input, output;
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CheckShape check_shape;
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CheckData check_data;
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std::vector<int> inputs = {2, 4, 3, 7, 1, 5};
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std::vector<int64_t> expected_result_axis0 = {0, 1, 0};
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std::vector<int64_t> expected_result_axis1 = {0, 1};
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std::vector<int64_t> expected_result_noaxis = {4};
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input.SetExternalData({2, 3}, FDDataType::INT32, inputs.data());
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// axis = 0, output_dtype = FDDataType::INT64, keep_dim = false, flatten =
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// false
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ArgMin(input, &output, 0);
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check_shape(output.shape, {3});
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check_data(reinterpret_cast<const int64_t*>(output.Data()),
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expected_result_axis0.data(), expected_result_axis0.size());
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// axis = -1, output_dtype = FDDataType::INT64, keep_dim = false, flatten =
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// false
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ArgMin(input, &output, -1);
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check_shape(output.shape, {2});
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check_data(reinterpret_cast<const int64_t*>(output.Data()),
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expected_result_axis1.data(), expected_result_axis1.size());
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// axis = -1, output_dtype = FDDataType::INT64, keep_dim = false, flatten =
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// true
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ArgMin(input, &output, -1, FDDataType::INT64, false, true);
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check_shape(output.shape, {1});
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check_data(reinterpret_cast<const int64_t*>(output.Data()),
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expected_result_noaxis.data(), expected_result_noaxis.size());
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}
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} // namespace function
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} // namespace fastdeploy
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