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The `Serializer<T>` class implements a binary serialization that can write to (`serialize`) and read from (`deserialize`) a byte buffer. Also added convenience routines for serializing a list of arguments. This will mainly be for testing, specifically to transfer data to and from the GPU.
109 lines
3.1 KiB
C++
109 lines
3.1 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2021 The Eigen Team
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#include "main.h"
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#include <vector>
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#include <Eigen/Core>
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struct MyPodType {
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double x;
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int y;
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float z;
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};
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// Plain-old-data serialization.
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void test_pod_type() {
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MyPodType initial = {1.3, 17, 1.9f};
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MyPodType clone = {-1, -1, -1};
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Eigen::Serializer<MyPodType> serializer;
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// Determine required size.
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size_t buffer_size = serializer.size(initial);
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VERIFY_IS_EQUAL(buffer_size, sizeof(MyPodType));
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// Serialize.
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std::vector<uint8_t> buffer(buffer_size);
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uint8_t* dest = serializer.serialize(buffer.data(), initial);
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VERIFY_IS_EQUAL(dest - buffer.data(), buffer_size);
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// Deserialize.
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uint8_t* src = serializer.deserialize(buffer.data(), clone);
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VERIFY_IS_EQUAL(src - buffer.data(), buffer_size);
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VERIFY_IS_EQUAL(clone.x, initial.x);
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VERIFY_IS_EQUAL(clone.y, initial.y);
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VERIFY_IS_EQUAL(clone.z, initial.z);
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}
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// Matrix, Vector, Array
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template<typename T>
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void test_eigen_type(const T& type) {
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const Index rows = type.rows();
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const Index cols = type.cols();
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const T initial = T::Random(rows, cols);
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// Serialize.
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Eigen::Serializer<T> serializer;
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size_t buffer_size = serializer.size(initial);
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std::vector<uint8_t> buffer(buffer_size);
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uint8_t* dest = serializer.serialize(buffer.data(), initial);
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VERIFY_IS_EQUAL(dest - buffer.data(), buffer_size);
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// Deserialize.
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T clone;
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uint8_t* src = serializer.deserialize(buffer.data(), clone);
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VERIFY_IS_EQUAL(src - buffer.data(), buffer_size);
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VERIFY_IS_CWISE_EQUAL(clone, initial);
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}
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// Test a collection of dense types.
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template<typename T1, typename T2, typename T3>
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void test_dense_types(const T1& type1, const T2& type2, const T3& type3) {
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// Make random inputs.
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const T1 x1 = T1::Random(type1.rows(), type1.cols());
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const T2 x2 = T2::Random(type2.rows(), type2.cols());
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const T3 x3 = T3::Random(type3.rows(), type3.cols());
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// Allocate buffer and serialize.
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size_t buffer_size = Eigen::serialize_size(x1, x2, x3);
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std::vector<uint8_t> buffer(buffer_size);
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Eigen::serialize(buffer.data(), x1, x2, x3);
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// Clone everything.
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T1 y1;
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T2 y2;
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T3 y3;
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Eigen::deserialize(buffer.data(), y1, y2, y3);
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// Verify they equal.
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VERIFY_IS_CWISE_EQUAL(y1, x1);
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VERIFY_IS_CWISE_EQUAL(y2, x2);
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VERIFY_IS_CWISE_EQUAL(y3, x3);
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}
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EIGEN_DECLARE_TEST(serializer)
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{
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CALL_SUBTEST( test_pod_type() );
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST( test_eigen_type(Eigen::Array33f()) );
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CALL_SUBTEST( test_eigen_type(Eigen::ArrayXd(10)) );
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CALL_SUBTEST( test_eigen_type(Eigen::Vector3f()) );
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CALL_SUBTEST( test_eigen_type(Eigen::Matrix4d()) );
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CALL_SUBTEST( test_eigen_type(Eigen::MatrixXd(15, 17)) );
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CALL_SUBTEST( test_dense_types( Eigen::Array33f(),
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Eigen::ArrayXd(10),
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Eigen::MatrixXd(15, 17)) );
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}
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}
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