196 lines
7.7 KiB
C++
196 lines
7.7 KiB
C++
/*
|
||
* SPDX-License-Identifier: LicenseRef-CSSL-1.0
|
||
*/
|
||
|
||
// Initial unit test for nr_layer_precoder_simd_[cm, simd] functions
|
||
// Issue: gNB: SIMD Precoding Bug in nr_layer_precoder_simd for PMI = 4
|
||
// https://gitlab.eurecom.fr/oai/openairinterface5g/-/issues/955
|
||
|
||
#include "gtest/gtest.h"
|
||
#include <cstdint>
|
||
#include <simde/x86/avx512.h>
|
||
|
||
#ifdef __cplusplus
|
||
extern "C" {
|
||
#endif
|
||
|
||
#include "openair1/PHY/TOOLS/tools_defs.h" // c16_t
|
||
#include "nfapi/open-nFAPI/nfapi/public_inc/fapi_nr_ue_interface.h" // fapi_nr_dl_config_dci_dl_pdu_rel15_t
|
||
|
||
//#include "openair1/PHY/MODULATION/nr_modulation.h" // nr_layer_precoder_simd_[cm, simd]
|
||
|
||
// Forward declare the function but hide the Variable-Length Array (VLA) feature from C not available in C++
|
||
c16_t nr_layer_precoder_cm(int n_layers,
|
||
int symbol_size,
|
||
c16_t (*dataF_in)[/*symbol_size*/], // c16_t dataF_in[n_layers][symbol_size]
|
||
int ant,
|
||
c16_t weights[NR_MAX_NB_LAYERS][NR_MAX_CSI_PORTS],
|
||
int offset);
|
||
|
||
// Forward declare the function but hide the Variable-Length Array (VLA) feature from C not available in C++
|
||
void nr_layer_precoder_simd(int n_layers,
|
||
int symbol_size,
|
||
const c16_t (*dataF_in)[/*symbol_size*/], // c16_t dataF_in[n_layers][symbol_size]
|
||
int ant,
|
||
c16_t weights[NR_MAX_NB_LAYERS][NR_MAX_CSI_PORTS],
|
||
int offset,
|
||
int re_cnt,
|
||
c16_t *dataF_out);
|
||
|
||
#ifdef __cplusplus
|
||
}
|
||
#endif
|
||
|
||
TEST(NrLayerPrecoderTest, Basic)
|
||
{
|
||
constexpr int n_layers = 2;
|
||
constexpr int symbol_size = 24;
|
||
constexpr int n_ants = 2;
|
||
constexpr int ant = 1;
|
||
constexpr int re_cnt = 24;
|
||
|
||
// Initialize the 2D input data buffer
|
||
std::vector<c16_t> buffer_in(n_layers * symbol_size);
|
||
std::vector<c16_t> buffer_out(n_layers * symbol_size);
|
||
|
||
for (int i = 0; i < n_layers * symbol_size; ++i) {
|
||
buffer_in[i] = {static_cast<int16_t>(i + 1), static_cast<int16_t>(-i - 1)};
|
||
}
|
||
for (int i = 0; i < n_ants * symbol_size; ++i) {
|
||
buffer_out[i] = {static_cast<int16_t>(0), static_cast<int16_t>(0)};
|
||
}
|
||
|
||
// Cast flat buffer to the required 2D Variable-Length Array (VLA) style pointer
|
||
c16_t(*dataF_in)[symbol_size] = reinterpret_cast<c16_t(*)[symbol_size]>(buffer_in.data());
|
||
c16_t(*dataF_out)[symbol_size] = reinterpret_cast<c16_t(*)[symbol_size]>(buffer_out.data());
|
||
|
||
// Create and populate the weights
|
||
c16_t weights[NR_MAX_NB_LAYERS][NR_MAX_CSI_PORTS];
|
||
for (int layer = 0; layer < n_layers; ++layer) {
|
||
weights[layer][ant] = (c16_t){-SHRT_MAX, 0};
|
||
}
|
||
|
||
// Call the C function
|
||
for (int symbol = 0; symbol < re_cnt; symbol++)
|
||
dataF_out[ant][symbol] = nr_layer_precoder_cm(n_layers, symbol_size, dataF_in, ant, weights, symbol);
|
||
|
||
// You can calculate the expected value manually or test rough correctness
|
||
for (int symbol = 0; symbol < re_cnt; symbol++) {
|
||
int result_real = -26 - (symbol<<1);
|
||
int result_imag = -24 - (symbol<<1);
|
||
|
||
EXPECT_EQ(dataF_out[ant][symbol].r, result_real)
|
||
<< " at [" << ant << "][" << symbol << "] got real part: " << dataF_out[ant][symbol].r;
|
||
EXPECT_EQ(dataF_out[ant][symbol].i, -result_imag)
|
||
<< " at [" << ant << "][" << symbol << "] got imag part: " << dataF_out[ant][symbol].i;
|
||
}
|
||
}
|
||
|
||
TEST(NrLayerPrecoderTest, SIMD)
|
||
{
|
||
constexpr int n_layers = 2;
|
||
constexpr int symbol_size = 24;
|
||
constexpr int n_ants = 2;
|
||
constexpr int ant = 1;
|
||
constexpr int re_cnt = 24;
|
||
|
||
// Initialize the 2D input data buffer
|
||
std::vector<c16_t> buffer_in(n_layers * symbol_size);
|
||
std::vector<c16_t> buffer_out(n_layers * symbol_size);
|
||
|
||
for (int i = 0; i < n_layers * symbol_size; ++i) {
|
||
buffer_in[i] = {static_cast<int16_t>(i + 1), static_cast<int16_t>(-i - 1)};
|
||
}
|
||
for (int i = 0; i < n_ants * symbol_size; ++i) {
|
||
buffer_out[i] = {static_cast<int16_t>(0), static_cast<int16_t>(0)};
|
||
}
|
||
|
||
// Cast flat buffer to the required 2D Variable-Length Array (VLA) style pointer
|
||
c16_t(*dataF_in)[symbol_size] = reinterpret_cast<c16_t(*)[symbol_size]>(buffer_in.data());
|
||
c16_t(*dataF_out)[symbol_size] = reinterpret_cast<c16_t(*)[symbol_size]>(buffer_out.data());
|
||
|
||
// Create and populate the weights
|
||
c16_t weights[NR_MAX_NB_LAYERS][NR_MAX_CSI_PORTS];
|
||
for (int layer = 0; layer < n_layers; ++layer) {
|
||
weights[layer][ant] = (c16_t){-SHRT_MAX, 0};
|
||
}
|
||
|
||
// Call the C function
|
||
nr_layer_precoder_simd(n_layers, symbol_size, dataF_in, ant, weights, 0, re_cnt, dataF_out[ant]);
|
||
|
||
// You can calculate the expected value manually or test rough correctness
|
||
for (int symbol = 0; symbol < re_cnt; symbol++) {
|
||
int result_real = -26 - (symbol<<1);
|
||
int result_imag = -24 - (symbol<<1);
|
||
|
||
EXPECT_EQ(dataF_out[ant][symbol].r, result_real)
|
||
<< " at [" << ant << "][" << symbol << "] got real part: " << dataF_out[ant][symbol].r;
|
||
EXPECT_EQ(dataF_out[ant][symbol].i, -result_imag)
|
||
<< " at [" << ant << "][" << symbol << "] got imag part: " << dataF_out[ant][symbol].i;
|
||
}
|
||
}
|
||
|
||
TEST(NrLayerPrecoderTest, Compare_CM_SIMD)
|
||
{
|
||
constexpr int n_layers = 1;
|
||
constexpr int symbol_size = 24;
|
||
constexpr int n_ants = 2;
|
||
constexpr int re_cnt = 24;
|
||
|
||
// Initialize the 2D input data buffer
|
||
std::vector<c16_t> buffer_in(n_layers * symbol_size);
|
||
std::vector<c16_t> buffer_out_cm(n_ants * symbol_size);
|
||
std::vector<c16_t> buffer_out_simd(n_ants * symbol_size);
|
||
|
||
for (int i = 0; i < n_layers * symbol_size; ++i) {
|
||
buffer_in[i] = {static_cast<int16_t>((rand() % (2 * SHRT_MAX + 1)) - SHRT_MAX), static_cast<int16_t>((rand() % (2 * SHRT_MAX + 1)) - SHRT_MAX)};
|
||
}
|
||
for (int i = 0; i < n_ants * symbol_size; ++i) {
|
||
buffer_out_cm[i] = {static_cast<int16_t>(0), static_cast<int16_t>(0)};
|
||
buffer_out_simd[i] = {static_cast<int16_t>(0), static_cast<int16_t>(0)};
|
||
}
|
||
|
||
// Cast flat buffer to the required 2D Variable-Length Array (VLA) style pointer
|
||
c16_t(*dataF_in)[symbol_size] = reinterpret_cast<c16_t(*)[symbol_size]>(buffer_in.data());
|
||
c16_t(*dataF_out_cm)[symbol_size] = reinterpret_cast<c16_t(*)[symbol_size]>(buffer_out_cm.data());
|
||
c16_t(*dataF_out_simd)[symbol_size] = reinterpret_cast<c16_t(*)[symbol_size]>(buffer_out_simd.data());
|
||
|
||
// Create and populate the weights
|
||
c16_t weights[NR_MAX_NB_LAYERS][NR_MAX_CSI_PORTS];
|
||
for (int layer = 0; layer < n_layers; ++layer) {
|
||
// Could not use convert_precoder_weight() as complex.h could not be used in googletest
|
||
// Use the logic in convert_precoder_weight()
|
||
// precoder [−1,−j]
|
||
weights[layer][0] = (c16_t){-SHRT_MAX, 0};
|
||
weights[layer][1] = (c16_t){0, -SHRT_MAX};
|
||
}
|
||
|
||
// Get the results for all the antenna
|
||
for (int ant = 0; ant < n_ants; ant++) {
|
||
|
||
// Call the C function
|
||
for (int symbol = 0; symbol < re_cnt; symbol++)
|
||
dataF_out_cm[ant][symbol] = nr_layer_precoder_cm(n_layers, symbol_size, dataF_in, ant, weights, symbol);
|
||
|
||
// Call the C function
|
||
nr_layer_precoder_simd(n_layers, symbol_size, dataF_in, ant, weights, 0, re_cnt, dataF_out_simd[ant]);
|
||
|
||
// Compare the result from both C function
|
||
for (int symbol = 0; symbol < re_cnt; symbol++) {
|
||
EXPECT_EQ(dataF_out_cm[ant][symbol].r, dataF_out_simd[ant][symbol].r)
|
||
<< " at [" << ant << "][" << symbol << "] got real part: " << dataF_out_cm[ant][symbol].r << " result " << dataF_out_simd[ant][symbol].r;
|
||
EXPECT_EQ(dataF_out_cm[ant][symbol].i, dataF_out_simd[ant][symbol].i)
|
||
<< " at [" << ant << "][" << symbol << "] got imag part: " << dataF_out_cm[ant][symbol].i << " result " << dataF_out_simd[ant][symbol].i;
|
||
}
|
||
}
|
||
}
|
||
|
||
int main(int argc, char **argv)
|
||
{
|
||
// Initialize random seed
|
||
srand(time(0));
|
||
|
||
testing::InitGoogleTest(&argc, argv);
|
||
return RUN_ALL_TESTS();
|
||
}
|