blob: 6009017e8d6ec46e1ee8f2882e2dafb6b36c3ef7 [file]
// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2021 The Eigen Team
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
// SPDX-License-Identifier: MPL-2.0
#if defined(EIGEN_TEST_PART_2)
#define EIGEN_DEFAULT_DENSE_INDEX_TYPE int
#endif
#include "main.h"
#include <Eigen/Core>
#include <Eigen/SparseCore>
#include <vector>
#if defined(__unix__)
#include <sys/mman.h>
#endif
template <typename T>
struct RandomImpl {
static auto Create(Eigen::Index rows, Eigen::Index cols) { return T::Random(rows, cols); }
};
template <typename Scalar, int Options, typename DenseIndex>
struct RandomImpl<Eigen::SparseMatrix<Scalar, Options, DenseIndex>> {
using T = Eigen::SparseMatrix<Scalar, Options, DenseIndex>;
static auto Create(Eigen::Index rows, Eigen::Index cols) {
Eigen::SparseMatrix<Scalar, Options, DenseIndex> M(rows, cols);
M.setZero();
double density = 0.1;
// Reserve some space along each inner dim.
int nnz = static_cast<int>(std::ceil(density * 1.5 * M.innerSize()));
M.reserve(Eigen::VectorXi::Constant(M.outerSize(), nnz));
for (int j = 0; j < M.outerSize(); j++) {
for (int i = 0; i < M.innerSize(); i++) {
bool zero = (Eigen::internal::random<double>(0, 1) > density);
if (!zero) {
M.insertByOuterInner(j, i) = internal::random<Scalar>();
}
}
}
// 50-50 whether to compress or not.
if (Eigen::internal::random<double>(0, 1) >= 0.5) {
M.makeCompressed();
}
return M;
}
};
template <typename Scalar, int Options, typename DenseIndex>
struct RandomImpl<Eigen::SparseVector<Scalar, Options, DenseIndex>> {
using T = Eigen::SparseVector<Scalar, Options, DenseIndex>;
static auto Create(Eigen::Index rows, Eigen::Index cols) {
Eigen::SparseVector<Scalar, Options, DenseIndex> M(rows, cols);
M.setZero();
double density = 0.1;
// Reserve some space along each inner dim.
int nnz = static_cast<int>(density * 1.5 * M.innerSize());
M.reserve(nnz);
for (int i = 0; i < M.innerSize(); i++) {
bool zero = (Eigen::internal::random<double>(0, 1) > density);
if (!zero) {
M.insert(i) = internal::random<Scalar>();
}
}
return M;
}
};
struct MyPodType {
double x;
int y;
float z;
};
// Plain-old-data serialization.
void test_pod_type() {
MyPodType initial = {1.3, 17, 1.9f};
MyPodType clone = {-1, -1, -1};
Eigen::Serializer<MyPodType> serializer;
// Determine required size.
size_t buffer_size = serializer.size(initial);
VERIFY_IS_EQUAL(buffer_size, sizeof(MyPodType));
// Serialize.
std::vector<uint8_t> buffer(buffer_size);
uint8_t* begin = buffer.data();
uint8_t* end = buffer.data() + buffer.size();
uint8_t* dest = serializer.serialize(begin, end, initial);
VERIFY(dest != nullptr);
VERIFY_IS_EQUAL(dest - begin, buffer_size);
// Deserialize.
const uint8_t* src = serializer.deserialize(begin, end, clone);
VERIFY(src != nullptr);
VERIFY_IS_EQUAL(src - begin, buffer_size);
VERIFY_IS_EQUAL(clone.x, initial.x);
VERIFY_IS_EQUAL(clone.y, initial.y);
VERIFY_IS_EQUAL(clone.z, initial.z);
// Serialize with bounds checking errors.
dest = serializer.serialize(begin, end - 1, initial);
VERIFY(dest == nullptr);
dest = serializer.serialize(begin, begin, initial);
VERIFY(dest == nullptr);
dest = serializer.serialize(nullptr, nullptr, initial);
VERIFY(dest == nullptr);
// Deserialize with bounds checking errors.
src = serializer.deserialize(begin, end - 1, clone);
VERIFY(src == nullptr);
src = serializer.deserialize(begin, begin, clone);
VERIFY(src == nullptr);
src = serializer.deserialize(nullptr, nullptr, clone);
VERIFY(src == nullptr);
}
// Matrix, Vector, Array
template <typename T>
void test_eigen_type(const T& type) {
const Index rows = type.rows();
const Index cols = type.cols();
const T initial = RandomImpl<T>::Create(rows, cols);
// Serialize.
Eigen::Serializer<T> serializer;
size_t buffer_size = serializer.size(initial);
std::vector<uint8_t> buffer(buffer_size);
uint8_t* begin = buffer.data();
uint8_t* end = buffer.data() + buffer.size();
uint8_t* dest = serializer.serialize(begin, end, initial);
VERIFY(dest != nullptr);
VERIFY_IS_EQUAL(dest - begin, buffer_size);
// Deserialize.
T clone;
const uint8_t* src = serializer.deserialize(begin, end, clone);
VERIFY(src != nullptr);
VERIFY_IS_EQUAL(src - begin, buffer_size);
VERIFY_IS_CWISE_EQUAL(clone, initial);
// Serialize with bounds checking errors.
dest = serializer.serialize(begin, end - 1, initial);
VERIFY(dest == nullptr);
dest = serializer.serialize(begin, begin, initial);
VERIFY(dest == nullptr);
dest = serializer.serialize(nullptr, nullptr, initial);
VERIFY(dest == nullptr);
// Deserialize with bounds checking errors.
src = serializer.deserialize(begin, end - 1, clone);
VERIFY(src == nullptr);
src = serializer.deserialize(begin, begin, clone);
VERIFY(src == nullptr);
src = serializer.deserialize(nullptr, nullptr, clone);
VERIFY(src == nullptr);
}
// A dense header whose sizes are negative, wrong for the type, or larger than the buffer is a parsing error.
template <typename T>
void test_malformed_dense_header(Index rows, Index cols) {
struct Header {
Index rows;
Index cols;
};
std::vector<uint8_t> buffer(sizeof(Header) + 16 * sizeof(typename T::Scalar));
const Header header = {rows, cols};
std::memcpy(buffer.data(), &header, sizeof(header));
T value;
VERIFY(Eigen::Serializer<T>().deserialize(buffer.data(), buffer.data() + buffer.size(), value) == nullptr);
}
void test_malformed_dense_headers() {
test_malformed_dense_header<Matrix2d>(4, 4);
test_malformed_dense_header<Matrix2d>(1, 4);
test_malformed_dense_header<Matrix<double, Dynamic, Dynamic, 0, 2, 2>>(4, 1);
test_malformed_dense_header<MatrixXd>(-1, -4);
test_malformed_dense_header<MatrixXd>(5, 4);
test_malformed_dense_header<MatrixXd>(Index(1) << (8 * sizeof(Index) - 2), 4);
test_malformed_dense_header<VectorXd>(4, 4);
}
// Serializes `valid` into a buffer with room to spare, applies `corrupt` to the header and payload, and checks that
// deserializing the result is a parsing error that leaves no entries in the destination.
template <typename T, typename Corrupt>
void verify_rejected(const T& valid, Corrupt corrupt) {
using Header = typename Serializer<T>::Header;
Serializer<T> serializer;
std::vector<uint8_t> buffer(serializer.size(valid) + 256);
uint8_t* begin = buffer.data();
uint8_t* end = begin + buffer.size();
VERIFY(serializer.serialize(begin, end, valid) != nullptr);
Header header;
std::memcpy(&header, begin, sizeof(Header));
corrupt(header, begin + sizeof(Header));
std::memcpy(begin, &header, sizeof(Header));
T value;
VERIFY(serializer.deserialize(begin, end, value) == nullptr);
VERIFY_IS_EQUAL(value.nonZeros(), 0);
}
template <typename StorageIndex>
void set_index(uint8_t* array, Index i, StorageIndex v) {
std::memcpy(array + i * sizeof(StorageIndex), &v, sizeof(v));
}
// Every header field and stored index of a sparse matrix decides where deserialize() writes or what later reads
// address, so a buffer that does not describe a valid matrix must be rejected.
template <int Options>
void test_malformed_sparse_matrix() {
using T = SparseMatrix<float, Options, int>;
using Header = typename Serializer<T>::Header;
constexpr bool kRowMajor = T::IsRowMajor;
// 3 x 2 with entries (0, 0), (2, 0), (1, 1): compressed, the payload is outer[3], inner[3], values[3] in column-major
// order, and outer[4], inner[3], values[3] in row-major order.
T m(3, 2);
m.insert(0, 0) = 1;
m.insert(2, 0) = 2;
m.insert(1, 1) = 3;
m.makeCompressed();
const Index outer_size = m.outerSize();
const auto inner = [outer_size](uint8_t* payload) { return payload + (outer_size + 1) * sizeof(int); };
verify_rejected(T(1, 1), [](Header& h, uint8_t*) { h.outer_size = 10; });
verify_rejected(m, [](Header& h, uint8_t*) { h.outer_size = kRowMajor ? h.cols : h.rows; });
verify_rejected(m, [](Header& h, uint8_t*) { h.rows = -1; });
verify_rejected(m, [](Header& h, uint8_t*) { h.cols = -1; });
verify_rejected(m, [](Header& h, uint8_t*) { h.inner_buffer_size = -1; });
verify_rejected(m, [](Header& h, uint8_t*) { h.inner_buffer_size = 4; });
verify_rejected(m, [](Header& h, uint8_t*) { h.inner_buffer_size = Index(1) << 30; });
verify_rejected(m, [](Header& h, uint8_t*) {
const unsigned char two = 2;
std::memcpy(&h.compressed, &two, 1);
});
verify_rejected(m, [](Header&, uint8_t* p) { set_index(p, 0, 1); });
verify_rejected(m, [](Header&, uint8_t* p) { set_index(p, 1, 4); });
verify_rejected(m, [&](Header&, uint8_t* p) { set_index(p, outer_size, 2); });
verify_rejected(m, [&](Header&, uint8_t* p) { set_index(inner(p), 1, kRowMajor ? 2 : 3); });
verify_rejected(m, [&](Header&, uint8_t* p) { set_index(inner(p), 2, -1); });
// Uncompressed, the payload starts with innerNonZeros[outer_size], and the unused entries are not checked.
T u = m;
u.reserve(Eigen::VectorXi::Constant(outer_size, 3));
VERIFY(!u.isCompressed());
const int capacity0 = u.outerIndexPtr()[1] - u.outerIndexPtr()[0];
verify_rejected(u, [&](Header&, uint8_t* p) { set_index(p, 0, capacity0 + 1); });
verify_rejected(u, [&](Header&, uint8_t* p) { set_index(p, 0, -1); });
Serializer<T> serializer;
std::vector<uint8_t> buffer(serializer.size(u));
VERIFY(serializer.serialize(buffer.data(), buffer.data() + buffer.size(), u) != nullptr);
uint8_t* payload = buffer.data() + sizeof(Header);
const int* outer = u.outerIndexPtr();
const int* inner_non_zeros = u.innerNonZeroPtr();
for (Index j = 0; j < outer_size; ++j) {
for (Index k = outer[j] + inner_non_zeros[j]; k < outer[j + 1]; ++k)
set_index(payload + (2 * outer_size + 1) * sizeof(int), k, -7);
}
T clone;
VERIFY(serializer.deserialize(buffer.data(), buffer.data() + buffer.size(), clone) != nullptr);
VERIFY_IS_CWISE_EQUAL(MatrixXf(clone), MatrixXf(m));
}
void test_malformed_sparse_vector() {
using T = SparseVector<float, 0, int>;
using Header = Serializer<T>::Header;
T v(4);
v.insert(1) = 1;
v.insert(3) = 2;
verify_rejected(v, [](Header& h, uint8_t*) { h.size = -1; });
verify_rejected(v, [](Header& h, uint8_t*) { h.num_non_zeros = -1; });
verify_rejected(v, [](Header& h, uint8_t*) { h.num_non_zeros = Index(1) << 30; });
verify_rejected(v, [](Header&, uint8_t* p) { set_index(p, 1, 4); });
verify_rejected(v, [](Header&, uint8_t* p) { set_index(p, 0, -1); });
}
#if defined(EIGEN_TEST_PART_2) && defined(__unix__) && defined(MAP_NORESERVE) && SIZE_MAX > 0xFFFFFFFFu
// 65536 x 65536 chars fit in a 4 GiB buffer, but resize() forms rows * cols in the 32-bit Index, where it overflows.
// The mapping only reserves address space: the header must be rejected before the payload is read.
void test_dense_header_index_overflow() {
STATIC_CHECK(sizeof(Index) == 4);
using T = Matrix<char, Dynamic, Dynamic>;
using Header = Serializer<T>::Header;
const std::size_t bytes = sizeof(Header) + (std::size_t(1) << 32);
void* map = mmap(nullptr, bytes, PROT_READ | PROT_WRITE, MAP_PRIVATE | MAP_ANONYMOUS | MAP_NORESERVE, -1, 0);
VERIFY(map != MAP_FAILED);
const Header header = {65536, 65536};
std::memcpy(map, &header, sizeof(header));
const uint8_t* begin = static_cast<const uint8_t*>(map);
T value;
VERIFY(Serializer<T>().deserialize(begin, begin + bytes, value) == nullptr);
VERIFY_IS_EQUAL(munmap(map, bytes), 0);
}
#endif
// Test a collection of dense types.
template <typename T1, typename T2, typename T3>
void test_dense_types(const T1& type1, const T2& type2, const T3& type3) {
// Make random inputs.
const T1 x1 = T1::Random(type1.rows(), type1.cols());
const T2 x2 = T2::Random(type2.rows(), type2.cols());
const T3 x3 = T3::Random(type3.rows(), type3.cols());
// Allocate buffer and serialize.
size_t buffer_size = Eigen::serialize_size(x1, x2, x3);
std::vector<uint8_t> buffer(buffer_size);
uint8_t* begin = buffer.data();
uint8_t* end = buffer.data() + buffer.size();
uint8_t* dest = Eigen::serialize(begin, end, x1, x2, x3);
VERIFY(dest != nullptr);
// Clone everything.
T1 y1;
T2 y2;
T3 y3;
const uint8_t* src = Eigen::deserialize(begin, end, y1, y2, y3);
VERIFY(src != nullptr);
// Verify they equal.
VERIFY_IS_CWISE_EQUAL(y1, x1);
VERIFY_IS_CWISE_EQUAL(y2, x2);
VERIFY_IS_CWISE_EQUAL(y3, x3);
// Serialize everything with bounds checking errors.
dest = Eigen::serialize(begin, end - 1, y1, y2, y3);
VERIFY(dest == nullptr);
dest = Eigen::serialize(begin, begin, y1, y2, y3);
VERIFY(dest == nullptr);
dest = Eigen::serialize(nullptr, nullptr, y1, y2, y3);
VERIFY(dest == nullptr);
// Deserialize everything with bounds checking errors.
src = Eigen::deserialize(begin, end - 1, y1, y2, y3);
VERIFY(src == nullptr);
src = Eigen::deserialize(begin, begin, y1, y2, y3);
VERIFY(src == nullptr);
src = Eigen::deserialize(nullptr, nullptr, y1, y2, y3);
VERIFY(src == nullptr);
}
EIGEN_DECLARE_TEST(serializer) {
CALL_SUBTEST_1(test_pod_type());
CALL_SUBTEST_1(test_malformed_dense_headers());
CALL_SUBTEST_1(test_malformed_sparse_matrix<ColMajor>());
CALL_SUBTEST_1(test_malformed_sparse_matrix<RowMajor>());
CALL_SUBTEST_1(test_malformed_sparse_vector());
for (int i = 0; i < g_repeat; i++) {
CALL_SUBTEST_1(test_eigen_type(Eigen::Array33f()));
CALL_SUBTEST_1(test_eigen_type(Eigen::ArrayXd(10)));
CALL_SUBTEST_1(test_eigen_type(Eigen::Vector3f()));
CALL_SUBTEST_1(test_eigen_type(Eigen::Matrix4d()));
CALL_SUBTEST_1(test_eigen_type(Eigen::MatrixXd(15, 17)));
CALL_SUBTEST_1(test_eigen_type(Eigen::SparseMatrix<float>(13, 12)));
CALL_SUBTEST_1(test_eigen_type(Eigen::SparseMatrix<float>(0, 3)));
CALL_SUBTEST_1(test_eigen_type(Eigen::SparseVector<float>(17)));
CALL_SUBTEST_1(test_dense_types(Eigen::Array33f(), Eigen::ArrayXd(10), Eigen::MatrixXd(15, 17)));
}
CALL_SUBTEST_2(test_malformed_dense_headers());
#if defined(EIGEN_TEST_PART_2) && defined(__unix__) && defined(MAP_NORESERVE) && SIZE_MAX > 0xFFFFFFFFu
CALL_SUBTEST_2(test_dense_header_index_overflow());
#endif
}