mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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c7d37b6732
* Add eigen tensor structure * Add Reduce function * Add cpp unittest framework * Add reduce function unittest * Add pr template * Add comments and docs for reduce function * Fix typo * Add ENABLE_FDTENSOR_FUNC macro * Add Todo comment * Add CheckData overload * Fix CheckData overload operator() Co-authored-by: Jason <jiangjiajun@baidu.com>
51 lines
1.5 KiB
C++
51 lines
1.5 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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#pragma once
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#include <vector>
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#include "gtest/gtest.h"
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namespace fastdeploy {
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struct CheckShape {
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template <typename T>
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void operator()(const std::vector<T>& lhs, const std::vector<T>& rhs) {
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ASSERT_EQ(lhs.size(), rhs.size());
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for (int i = 0; i < lhs.size(); ++i) {
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ASSERT_EQ(lhs[i], rhs[i]);
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}
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}
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};
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struct CheckData {
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template <typename T>
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void operator()(const T* lhs_ptr, const T* rhs_ptr, int num) {
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for (int i = 0; i < num; ++i) {
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ASSERT_EQ(lhs_ptr[i], rhs_ptr[i]);
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}
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}
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void operator()(const float* lhs_ptr, const float* rhs_ptr, int num) {
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for (int i = 0; i < num; ++i) {
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ASSERT_FLOAT_EQ(lhs_ptr[i], rhs_ptr[i]);
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}
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}
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void operator()(const double* lhs_ptr, const double* rhs_ptr, int num) {
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for (int i = 0; i < num; ++i) {
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ASSERT_DOUBLE_EQ(lhs_ptr[i], rhs_ptr[i]);
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}
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}
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};
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} // namespace fastdeploy
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