Initial unit test to refactor and fix nr_layer_precoder_simd function (See #955)

This commit is contained in:
Matthias Mehlhose
2025-07-29 15:35:24 +00:00
parent 61c769f8b5
commit 7d27592b4f
5 changed files with 164 additions and 3 deletions
@@ -0,0 +1,153 @@
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// 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/nfapi_nr_interface_scf.h" // nfapi_nr_pm_pdu_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,
nfapi_nr_pm_pdu_t *pmi_pdu,
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,
const nfapi_nr_pm_pdu_t *pmi_pdu,
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 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)};
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 pmi_pdu structure
nfapi_nr_pm_pdu_t pmi_pdu = {0};
for (int layer = 0; layer < n_layers; ++layer) {
pmi_pdu.weights[layer][ant].precoder_weight_Re = 1 << 14; // e.g., Q15 representation of ~0.5
pmi_pdu.weights[layer][ant].precoder_weight_Im = 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, &pmi_pdu, symbol);
// You can calculate the expected value manually or test rough correctness
for (int symbol = 0; symbol < re_cnt; symbol++) {
int result_real = 14 + (symbol - 1) & ~1;
int result_imag = 14 + (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 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)};
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 pmi_pdu structure
nfapi_nr_pm_pdu_t pmi_pdu = {0};
for (int layer = 0; layer < n_layers; ++layer) {
pmi_pdu.weights[layer][ant].precoder_weight_Re = 1 << 14; // e.g., Q15 representation of ~0.5
pmi_pdu.weights[layer][ant].precoder_weight_Im = 0;
}
// Call the C function
nr_layer_precoder_simd(n_layers, symbol_size, dataF_in, ant, &pmi_pdu, 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 = 14 + (symbol - 1) & ~1;
int result_imag = 14 + (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;
;
}
}
int main(int argc, char **argv)
{
testing::InitGoogleTest(&argc, argv);
return RUN_ALL_TESTS();
}