mirror of
https://github.com/data61/MP-SPDZ.git
synced 2026-01-09 21:48:11 -05:00
Semi-honest replicated sharing now has parallel shuffling
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@@ -896,7 +896,7 @@ void SubProcessor<T>::apply_shuffle(const Instruction& instruction,
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const auto& args = instruction.get_start();
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const auto n_shuffles = args.size() / 5;
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vector<int> sizes(n_shuffles, 0);
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vector<size_t> sizes(n_shuffles, 0);
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vector<int> destinations(n_shuffles, 0);
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vector<int> sources(n_shuffles, 0);
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vector<int> unit_sizes(n_shuffles, 0);
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@@ -55,4 +55,5 @@ def test_allocator():
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arr3.secure_permute(p3)
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# test_allocator()
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test_case([5, 10, 20], 10)
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test_case([5, 10, 20], 10)
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test_case([5, 10, 15, 20], 20)
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@@ -29,7 +29,7 @@ public:
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void apply(vector<T>& a, size_t n, int unit_size, size_t output_base,
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size_t input_base, shuffle_type& shuffle, bool reverse);
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void applyMultiple(vector<T>& a, vector<int>& sizes, vector<int>& destinations, vector<int>& sources,
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void applyMultiple(vector<T>& a, vector<size_t>& sizes, vector<int>& destinations, vector<int>& sources,
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vector<int>& unit_sizes, vector<int>& handles, vector<bool>& reverse, store_type& store);
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void inverse_permutation(vector<T>& stack, size_t n, size_t output_base,
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@@ -120,17 +120,112 @@ void Rep3Shuffler<T>::apply(vector<T>& a, size_t n, int unit_size,
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}
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template<class T>
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void Rep3Shuffler<T>::applyMultiple(vector<T>& a, vector<int>& sizes, vector<int>& destinations, vector<int>& sources,
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vector<int>& unit_sizes, vector<int>& handles, vector<bool>& reverse, store_type& store) {
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void Rep3Shuffler<T>::applyMultiple(vector<T>& a, vector<size_t>& sizes, vector<int>& destinations, vector<int>& sources,
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vector<int>& unit_sizes, vector<int>& handles, vector<bool>& reverses, store_type& store) {
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const auto n_shuffles = sizes.size();
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assert(sources.size() == n_shuffles);
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assert(destinations.size() == n_shuffles);
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assert(unit_sizes.size() == n_shuffles);
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assert(handles.size() == n_shuffles);
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assert(reverse.size() == n_shuffles);
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assert(reverses.size() == n_shuffles);
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for (size_t i = 0; i < n_shuffles; i++) {
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this->apply(a, sizes[i], unit_sizes[i], destinations[i], sources[i], store.get(handles[i]), reverse[i]);
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assert(proc.P.num_players() == 3);
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assert(not T::malicious);
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assert(not T::dishonest_majority);
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// for (size_t i = 0; i < n_shuffles; i++) {
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// this->apply(a, sizes[i], unit_sizes[i], destinations[i], sources[i], store.get(handles[i]), reverses[i]);
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// }
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vector<vector<T>> to_shuffle;
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for (size_t current_shuffle = 0; current_shuffle < n_shuffles; current_shuffle++) {
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assert(sizes[current_shuffle] % unit_sizes[current_shuffle] == 0);
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vector<T> x;
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for (size_t j = 0; j < sizes[current_shuffle]; j++)
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x.push_back(a[sources[current_shuffle] + j]);
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to_shuffle.push_back(x);
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const auto shuffle = store.get(handles[current_shuffle]);
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if (shuffle.empty())
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throw runtime_error("shuffle has been deleted");
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}
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typename T::Input input(proc);
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for (int pass = 0; pass < 3; pass++)
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{
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input.reset_all(proc.P);
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for (size_t current_shuffle = 0; current_shuffle < n_shuffles; current_shuffle++) {
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const auto n = sizes[current_shuffle];
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const auto unit_size = unit_sizes[current_shuffle];
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const auto shuffle = store.get(handles[current_shuffle]);
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const auto reverse = reverses[current_shuffle];
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const auto current_to_shuffle = to_shuffle[current_shuffle];
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vector<typename T::clear> to_share(n);
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int i;
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if (reverse)
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i = 2 - pass;
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else
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i = pass;
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if (proc.P.get_player(i) == 0) {
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for (size_t j = 0; j < n / unit_size; j++)
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for (int k = 0; k < unit_size; k++)
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if (reverse)
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to_share.at(j * unit_size + k) = current_to_shuffle.at(
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shuffle[0].at(j) * unit_size + k).sum();
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else
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to_share.at(shuffle[0].at(j) * unit_size + k) =
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current_to_shuffle.at(j * unit_size + k).sum();
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}
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else if (proc.P.get_player(i) == 1)
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{
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for (size_t j = 0; j < n / unit_size; j++)
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for (int k = 0; k < unit_size; k++)
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if (reverse)
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to_share[j * unit_size + k] = current_to_shuffle[shuffle[1][j] * unit_size + k][0];
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else
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to_share[shuffle[1][j] * unit_size + k] = current_to_shuffle[j * unit_size + k][0];
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}
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if (proc.P.get_player(i) < 2)
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for (auto& x : to_share)
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input.add_mine(x);
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for (int k = 0; k < 2; k++)
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input.add_other((-i + 3 + k) % 3);
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}
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input.exchange();
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to_shuffle.clear();
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for (size_t current_shuffle = 0; current_shuffle < n_shuffles; current_shuffle++) {
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const auto n = sizes[current_shuffle];
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const auto reverse = reverses[current_shuffle];
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int i;
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if (reverse)
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i = 2 - pass;
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else
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i = pass;
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vector<T> tmp;
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for (size_t j = 0; j < n; j++)
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{
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T x = input.finalize((-i + 3) % 3) + input.finalize((-i + 4) % 3);
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tmp.push_back(x);
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}
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to_shuffle.push_back(tmp);
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}
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}
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for (size_t current_shuffle = 0; current_shuffle < n_shuffles; current_shuffle++) {
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const auto n = sizes[current_shuffle];
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for (size_t i = 0; i < n; i++)
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a[destinations[current_shuffle] + i] = to_shuffle[current_shuffle][i];
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}
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}
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@@ -104,7 +104,7 @@ public:
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void apply(vector<T>& a, size_t n, int unit_size, size_t output_base,
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size_t input_base, shuffle_type& shuffle, bool reverse);
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void applyMultiple(vector<T>& a, vector<int>& sizes, vector<int>& destinations, vector<int>& sources,
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void applyMultiple(vector<T>& a, vector<size_t>& sizes, vector<int>& destinations, vector<int>& sources,
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vector<int>& unit_sizes, vector<int>& handles, vector<bool>& reverse, store_type& store);
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/**
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@@ -98,7 +98,7 @@ void SecureShuffle<T>::apply(vector<T>& a, size_t n, int unit_size, size_t outpu
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template<class T>
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void SecureShuffle<T>::applyMultiple(vector<T>& a, vector<int>& sizes, vector<int>& destinations, vector<int>& sources,
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void SecureShuffle<T>::applyMultiple(vector<T>& a, vector<size_t>& sizes, vector<int>& destinations, vector<int>& sources,
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vector<int>& unit_sizes, vector<int>& handles, vector<bool>& reverse, store_type& store) {
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const auto n_shuffles = sizes.size();
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assert(sources.size() == n_shuffles);
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