Merge remote-tracking branch 'origin/issue-955' into integration_2025_w31 (!3545)

Fix overflow when negating minimum int16_t value in precoding

This closes #955

It prevents undefined behavior caused by the minimum int16_t value
(-32768) in two's complement representation. Because possible negation
by multiplying with -1 during precoding cause an overflows since +32768
cannot be represented in 16-bit signed integers and end up again in
-32768 because of overflow, here reveald by using the SIMD functions.

Workaround we use a slightly smaller number than 1 in Q15 Format to
prevent this error. Q15 representation of (integer value -32767) -1 +
2^-15 = -0.999969482421875
This commit is contained in:
Robert Schmidt
2025-07-31 15:26:21 +02:00
7 changed files with 231 additions and 11 deletions
+1
View File
@@ -2,3 +2,4 @@ add_subdirectory(nr_phy_common)
add_subdirectory(TOOLS)
add_subdirectory(NR_TRANSPORT)
add_subdirectory(CODING)
add_subdirectory(MODULATION)
+3
View File
@@ -0,0 +1,3 @@
if (ENABLE_TESTS)
add_subdirectory(tests)
endif()
+2 -3
View File
@@ -765,9 +765,8 @@ void nr_layer_precoder_simd(const int n_layers,
// Multiplication and shift
const simde__m256i reals =
simde_mm256_srai_epi32(simde_mm256_madd_epi16(x, w_c), 15); // (int32_t) .r = (x.r * w.r - x.i * w.i) >> 15
const simde__m256i imags = simde_mm256_slli_epi32(
simde_mm256_madd_epi16(x, w_s),
1); // (int32_t) .i = (x.r * w.i + x.i * w.r) << 1, since higher 16 bit of each 32 bit is taken by blend_epi16
const simde__m256i imags =
simde_mm256_slli_epi32(simde_mm256_madd_epi16(x, w_s), 1); // (int32_t) .i = (x.r * w.i + x.i * w.r) << 1, since higher 16 bit of each 32 bit is taken by blend_epi16
// Re-arrange to match c16_t format
const simde__m256i produ = simde_mm256_blend_epi16(reals, imags, 0xAA);
@@ -0,0 +1,5 @@
add_executable(test_nr_modulation test_nr_modulation.cpp)
target_link_libraries(test_nr_modulation PRIVATE PHY_NR GTest::gtest minimal_lib)
add_dependencies(tests test_nr_modulation)
add_test(NAME test_nr_modulation
COMMAND ./test_nr_modulation)
@@ -0,0 +1,218 @@
/*
* Licensed to the OpenAirInterface (OAI) Software Alliance under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The OpenAirInterface Software Alliance licenses this file to You under
* the OAI Public License, Version 1.1 (the "License"); you may not use this file
* except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.openairinterface.org/?page_id=698
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*-------------------------------------------------------------------------------
* For more information about the OpenAirInterface (OAI) Software Alliance:
* contact@openairinterface.org
*/
// 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 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 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 = -SHRT_MAX; // Q15 representation of (~-1.0) -0.999969482421875 (-1+2^-15)
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 = -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 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 = -SHRT_MAX; // Q15 representation of (~-1.0) -0.999969482421875 (-1+2^-15)
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 = -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 pmi_pdu structure
nfapi_nr_pm_pdu_t pmi_pdu = {0};
pmi_pdu.pm_idx = 4;
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]
pmi_pdu.weights[layer][0].precoder_weight_Re = -SHRT_MAX; // Q15 representation of (~-1.0) -0.999969482421875 (-1+2^-15)
pmi_pdu.weights[layer][0].precoder_weight_Im = 0x0000; // Q15 representation of 0
pmi_pdu.weights[layer][1].precoder_weight_Re = 0x0000; // Q15 representation of 0
pmi_pdu.weights[layer][1].precoder_weight_Im = -SHRT_MAX; // Q15 representation of (~-1.0) -0.999969482421875 (-1+2^-15)
}
// 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, &pmi_pdu, symbol);
// Call the C function
nr_layer_precoder_simd(n_layers, symbol_size, dataF_in, ant, &pmi_pdu, 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();
}
+1 -1
View File
@@ -163,7 +163,7 @@ extern "C" {
__attribute__((always_inline)) inline c16_t c16conj(const c16_t a) {
return (c16_t) {
.r = a.r,
.i = (int16_t)-a.i
.i = (int16_t)-a.i
};
}
+1 -7
View File
@@ -61,13 +61,7 @@
c16_t convert_precoder_weight(double complex c_in)
{
double cr = creal(c_in) * 32768 + 0.5;
if (cr < 0)
cr -= 1;
double ci = cimag(c_in) * 32768 + 0.5;
if (ci < 0)
ci -= 1;
return (c16_t) {.r = (short)cr, .i = (short)ci};
return (c16_t) {.r = round(SHRT_MAX*creal(c_in)), .i = round(SHRT_MAX*cimag(c_in))};
}
void get_K1_K2(int N1, int N2, int *K1, int *K2, int layers)