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- Update concrete-cuda with latest commits in concrete-core - Add C++ tests based on google test - Run the tests in the CI with Cuda 11.8 and Cuda 11.1 - Test for many PBS/KS parameters - Repetitions & samples are set for each parameter set in the PBS test
298 lines
12 KiB
C++
298 lines
12 KiB
C++
#include "../include/bootstrap.h"
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#include "../include/device.h"
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#include "concrete-cpu.h"
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#include "utils.h"
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#include "gtest/gtest.h"
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#include <cmath>
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#include <cstdint>
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#include <stdio.h>
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#include <stdlib.h>
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const unsigned REPETITIONS = 2;
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const unsigned SAMPLES = 10;
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typedef struct {
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int lwe_dimension;
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int glwe_dimension;
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int polynomial_size;
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double lwe_modular_variance;
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double glwe_modular_variance;
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int pbs_base_log;
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int pbs_level;
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int ks_base_log;
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int ks_level;
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int pksk_base_log;
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int pksk_level;
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int cbs_base_log;
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int cbs_level;
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int tau;
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} WopBootstrapTestParams;
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class WopBootstrapTestPrimitives_u64
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: public ::testing::TestWithParam<WopBootstrapTestParams> {
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protected:
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int lwe_dimension;
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int glwe_dimension;
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int polynomial_size;
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double lwe_modular_variance;
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double glwe_modular_variance;
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int pbs_base_log;
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int pbs_level;
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int ks_base_log;
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int ks_level;
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int pksk_base_log;
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int pksk_level;
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int cbs_base_log;
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int cbs_level;
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int tau;
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int p;
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uint64_t delta;
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uint32_t cbs_delta_log;
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int delta_log;
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int delta_log_lut;
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Csprng *csprng;
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cudaStream_t *stream;
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int gpu_index = 0;
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uint64_t *lwe_sk_in_array;
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uint64_t *lwe_sk_out_array;
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uint64_t *lwe_in_ct_array;
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uint64_t *lwe_out_ct_array;
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uint64_t *plaintexts;
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double *d_fourier_bsk_array;
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uint64_t *d_ksk_array;
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uint64_t *d_pksk_array;
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uint64_t *d_lwe_ct_in_array;
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uint64_t *d_lwe_ct_out_array;
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uint64_t *d_lut_vector;
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int8_t *wop_pbs_buffer;
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int input_lwe_dimension;
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public:
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// Test arithmetic functions
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void SetUp() {
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stream = cuda_create_stream(0);
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void *v_stream = (void *)stream;
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// TestParams
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lwe_dimension = (int)GetParam().lwe_dimension;
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glwe_dimension = (int)GetParam().glwe_dimension;
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polynomial_size = (int)GetParam().polynomial_size;
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lwe_modular_variance = (double)GetParam().lwe_modular_variance;
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glwe_modular_variance = (double)GetParam().glwe_modular_variance;
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pbs_base_log = (int)GetParam().pbs_base_log;
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pbs_level = (int)GetParam().pbs_level;
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ks_base_log = (int)GetParam().ks_base_log;
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ks_level = (int)GetParam().ks_level;
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pksk_base_log = (int)GetParam().pksk_base_log;
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pksk_level = (int)GetParam().pksk_level;
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cbs_base_log = (int)GetParam().cbs_base_log;
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cbs_level = (int)GetParam().cbs_level;
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tau = (int)GetParam().tau;
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p = 10 / tau;
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delta_log = 64 - p;
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delta_log_lut = delta_log;
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delta = (uint64_t)(1) << delta_log;
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// Create a Csprng
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csprng =
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(Csprng *)aligned_alloc(CONCRETE_CSPRNG_ALIGN, CONCRETE_CSPRNG_SIZE);
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uint8_t seed[16] = {(uint8_t)0};
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concrete_cpu_construct_concrete_csprng(
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csprng, Uint128{.little_endian_bytes = {*seed}});
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input_lwe_dimension = glwe_dimension * polynomial_size;
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// Generate the keys
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generate_lwe_secret_keys(&lwe_sk_in_array, input_lwe_dimension, csprng,
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REPETITIONS);
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generate_lwe_secret_keys(&lwe_sk_out_array, lwe_dimension, csprng,
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REPETITIONS);
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generate_lwe_keyswitch_keys(
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stream, gpu_index, &d_ksk_array, lwe_sk_in_array, lwe_sk_out_array,
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input_lwe_dimension, lwe_dimension, ks_level, ks_base_log, csprng,
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lwe_modular_variance, REPETITIONS);
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generate_lwe_bootstrap_keys(
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stream, gpu_index, &d_fourier_bsk_array, lwe_sk_out_array,
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lwe_sk_in_array, lwe_dimension, glwe_dimension, polynomial_size,
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pbs_level, pbs_base_log, csprng, glwe_modular_variance, REPETITIONS);
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generate_lwe_private_functional_keyswitch_key_lists(
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stream, gpu_index, &d_pksk_array, lwe_sk_in_array, lwe_sk_in_array,
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input_lwe_dimension, glwe_dimension, polynomial_size, pksk_level,
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pksk_base_log, csprng, lwe_modular_variance, REPETITIONS);
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plaintexts = generate_plaintexts(p, delta, tau, REPETITIONS, SAMPLES);
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// LUT creation
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int lut_size = polynomial_size;
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int lut_num = tau << (tau * p - (int)log2(polynomial_size)); // r
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uint64_t *big_lut =
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(uint64_t *)malloc(lut_num * lut_size * sizeof(uint64_t));
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for (int t = tau - 1; t >= 0; t--) {
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uint64_t *small_lut = big_lut + (ptrdiff_t)(t * (1 << (tau * p)));
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for (uint64_t value = 0; value < (uint64_t)(1 << (tau * p)); value++) {
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int nbits = t * p;
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uint64_t x = (value >> nbits) & (uint64_t)((1 << p) - 1);
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small_lut[value] =
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((x % (uint64_t)(1 << (64 - delta_log))) << delta_log_lut);
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}
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}
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d_lut_vector = (uint64_t *)cuda_malloc_async(
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lut_num * lut_size * sizeof(uint64_t), stream, gpu_index);
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cuda_memcpy_async_to_gpu(d_lut_vector, big_lut,
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lut_num * lut_size * sizeof(uint64_t), stream,
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gpu_index);
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// Execute scratch
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scratch_cuda_wop_pbs_64(stream, gpu_index, &wop_pbs_buffer,
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(uint32_t *)&delta_log, &cbs_delta_log,
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glwe_dimension, lwe_dimension, polynomial_size,
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cbs_level, pbs_level, p, p, tau,
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cuda_get_max_shared_memory(gpu_index), true);
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// Allocate input
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d_lwe_ct_in_array = (uint64_t *)cuda_malloc_async(
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(input_lwe_dimension + 1) * tau * sizeof(uint64_t), stream, gpu_index);
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// Allocate output
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d_lwe_ct_out_array = (uint64_t *)cuda_malloc_async(
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(input_lwe_dimension + 1) * tau * sizeof(uint64_t), stream, gpu_index);
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lwe_in_ct_array =
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(uint64_t *)malloc((input_lwe_dimension + 1) * tau * sizeof(uint64_t));
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lwe_out_ct_array =
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(uint64_t *)malloc((input_lwe_dimension + 1) * tau * sizeof(uint64_t));
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cuda_synchronize_stream(v_stream);
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free(big_lut);
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}
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void TearDown() {
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void *v_stream = (void *)stream;
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cuda_synchronize_stream(v_stream);
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concrete_cpu_destroy_concrete_csprng(csprng);
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free(csprng);
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free(lwe_sk_in_array);
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free(lwe_sk_out_array);
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free(plaintexts);
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free(lwe_in_ct_array);
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free(lwe_out_ct_array);
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cleanup_cuda_circuit_bootstrap_vertical_packing(stream, gpu_index,
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&wop_pbs_buffer);
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cuda_drop_async(d_fourier_bsk_array, stream, gpu_index);
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cuda_drop_async(d_ksk_array, stream, gpu_index);
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cuda_drop_async(d_pksk_array, stream, gpu_index);
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cuda_drop_async(d_lwe_ct_in_array, stream, gpu_index);
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cuda_drop_async(d_lwe_ct_out_array, stream, gpu_index);
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cuda_drop_async(d_lut_vector, stream, gpu_index);
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cuda_destroy_stream(stream, gpu_index);
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}
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};
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TEST_P(WopBootstrapTestPrimitives_u64, wop_pbs) {
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void *v_stream = (void *)stream;
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int input_lwe_dimension = glwe_dimension * polynomial_size;
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int bsk_size = (glwe_dimension + 1) * (glwe_dimension + 1) * pbs_level *
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polynomial_size * (lwe_dimension + 1);
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int ksk_size =
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ks_level * (lwe_dimension + 1) * glwe_dimension * polynomial_size;
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int pksk_list_size = pksk_level * (glwe_dimension + 1) * polynomial_size *
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(glwe_dimension * polynomial_size + 1) *
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(glwe_dimension + 1);
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for (uint r = 0; r < REPETITIONS; r++) {
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double *d_fourier_bsk = d_fourier_bsk_array + (ptrdiff_t)(bsk_size * r);
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uint64_t *lwe_sk_in =
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lwe_sk_in_array + (ptrdiff_t)(r * glwe_dimension * polynomial_size);
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uint64_t *d_ksk = d_ksk_array + (ptrdiff_t)(ksk_size * r);
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uint64_t *d_pksk_list = d_pksk_array + (ptrdiff_t)(pksk_list_size * r);
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for (uint s = 0; s < SAMPLES; s++) {
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for (int t = 0; t < tau; t++) {
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uint64_t plaintext = plaintexts[r * SAMPLES * tau + s * tau + t];
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uint64_t *lwe_in_ct =
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lwe_in_ct_array + (ptrdiff_t)(t * (input_lwe_dimension + 1));
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concrete_cpu_encrypt_lwe_ciphertext_u64(
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lwe_sk_in, lwe_in_ct, plaintext, input_lwe_dimension,
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lwe_modular_variance, csprng, &CONCRETE_CSPRNG_VTABLE);
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}
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cuda_memcpy_async_to_gpu(d_lwe_ct_in_array, lwe_in_ct_array,
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(input_lwe_dimension + 1) * tau *
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sizeof(uint64_t),
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stream, gpu_index);
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// Execute wop pbs
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cuda_wop_pbs_64(stream, gpu_index, (void *)d_lwe_ct_out_array,
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(void *)d_lwe_ct_in_array, (void *)d_lut_vector,
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(void *)d_fourier_bsk, (void *)d_ksk, (void *)d_pksk_list,
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wop_pbs_buffer, cbs_delta_log, glwe_dimension,
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lwe_dimension, polynomial_size, pbs_base_log, pbs_level,
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ks_base_log, ks_level, pksk_base_log, pksk_level,
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cbs_base_log, cbs_level, p, p, delta_log, tau,
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cuda_get_max_shared_memory(gpu_index));
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//// Copy result back
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cuda_memcpy_async_to_cpu(lwe_out_ct_array, d_lwe_ct_out_array,
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(input_lwe_dimension + 1) * tau *
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sizeof(uint64_t),
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stream, gpu_index);
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cuda_synchronize_stream(v_stream);
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for (int i = 0; i < tau; i++) {
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uint64_t plaintext = plaintexts[r * SAMPLES * tau + s * tau + i];
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uint64_t *result_ct =
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lwe_out_ct_array + (ptrdiff_t)(i * (input_lwe_dimension + 1));
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uint64_t decrypted_message = 0;
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concrete_cpu_decrypt_lwe_ciphertext_u64(
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lwe_sk_in, result_ct, input_lwe_dimension, &decrypted_message);
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// Round after decryption
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uint64_t decrypted =
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closest_representable(decrypted_message, 1, p) >> delta_log;
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uint64_t expected = plaintext >> delta_log;
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EXPECT_EQ(decrypted, expected);
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}
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}
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}
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}
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// Defines for which parameters set the PBS will be tested.
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// It executes each test for all pairs on phis X qs (Cartesian product)
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::testing::internal::ParamGenerator<WopBootstrapTestParams> wop_pbs_params_u64 =
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::testing::Values(
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// n, k, N, lwe_variance, glwe_variance, pbs_base_log, pbs_level,
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// ks_base_log, ks_level, tau
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(WopBootstrapTestParams){481, 2, 512, 7.52316384526264e-37,
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7.52316384526264e-37, 4, 9, 1, 9, 4, 9, 6, 4,
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1}
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// (WopBootstrapTestParams){481, 2, 512, 7.52316384526264e-37,
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// 7.52316384526264e-37, 4, 9, 1, 9, 4,
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// 9, 6, 4, 2} ,
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// (WopBootstrapTestParams){481, 2, 1024, 7.52316384526264e-37,
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// 7.52316384526264e-37,
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// 4, 9, 1, 9, 4, 9,
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// 6, 4, 1},
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// (WopBootstrapTestParams){481, 2, 1024, 7.52316384526264e-37,
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// 7.52316384526264e-37,
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// 4, 9, 1, 9, 4, 9,
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// 6, 4, 2}
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);
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std::string printParamName(::testing::TestParamInfo<WopBootstrapTestParams> p) {
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WopBootstrapTestParams params = p.param;
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std::string message = "Unknown_parameter_set";
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if (params.polynomial_size == 512) {
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// When log_2_poly_size == 9 we have a cmux tree done with a single cmux.
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message = "wop_pbs_cmux_tree_with_single_cmux_n_" +
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std::to_string(params.lwe_dimension) + "_k_" +
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std::to_string(params.glwe_dimension) + "_N_" +
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std::to_string(params.polynomial_size) + "_tau_" +
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std::to_string(params.tau);
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} else if (params.polynomial_size == 1024) {
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// When log_2_poly_size == 10 the VP skips the cmux tree.
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message = "wop_pbs_without_cmux_tree_n_" +
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std::to_string(params.lwe_dimension) + "_k_" +
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std::to_string(params.glwe_dimension) + "_N_" +
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std::to_string(params.polynomial_size) + "_tau_" +
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std::to_string(params.tau);
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}
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return message;
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}
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INSTANTIATE_TEST_CASE_P(WopBootstrapInstantiation,
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WopBootstrapTestPrimitives_u64, wop_pbs_params_u64,
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printParamName);
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