--- /dev/null
+/******************************************************************************
+*
+* Copyright (c) 2020 Intel.
+*
+* Licensed under the Apache License, Version 2.0 (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.apache.org/licenses/LICENSE-2.0
+*
+* 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.
+*
+*******************************************************************************/
+
+#include "common.hpp"
+#include "xran_fh_o_du.h"
+#include "xran_mod_compression.h"
+
+#include <stdint.h>
+#include <random>
+#include <algorithm>
+#include <iterator>
+#include <iostream>
+#include <cstring>
+
+const std::string module_name = "mod_compression";
+
+extern int _may_i_use_cpu_feature(unsigned __int64);
+
+int16_t loc_ModCompIn[273*12*14*2*16*2];
+int8_t loc_ModCompOut[273*12*14*2*16];
+
+class Mod_CompressionPerf : public KernelTests
+{
+protected:
+ struct xranlib_5gnr_mod_compression_request mod_com_req;
+ struct xranlib_5gnr_mod_compression_response mod_com_rsp;
+
+ void SetUp() override {
+ init_test("mod_compression_performace");
+ // Create random number generator
+ std::random_device rd;
+ std::mt19937 gen(rd()); //Standard mersenne_twister_engine seeded with rd()
+ std::uniform_int_distribution<int16_t> randInt16(-32768, 32767);
+ std::uniform_int_distribution<int> randExpShift(0, 4);
+ std::memset(&loc_ModCompOut[0], 0, 273*12);
+
+ std::memset(&mod_com_req, 0, sizeof(struct xranlib_5gnr_mod_compression_request));
+ std::memset(&mod_com_rsp, 0, sizeof(struct xranlib_5gnr_mod_compression_response));
+ mod_com_req.unit = get_input_parameter<int16_t>("unit");
+ mod_com_req.modulation = get_input_parameter<xran_modulation_order>("modulation");
+ mod_com_req.num_symbols = get_input_parameter<int32_t>("num_symbols");
+
+ for (int m = 0; m < 2*mod_com_req.num_symbols; ++m) {
+ loc_ModCompIn[m] = int16_t(randInt16(gen));
+ }
+
+ mod_com_req.data_in = (int16_t *)loc_ModCompIn;
+ mod_com_rsp.data_out = (int8_t *)(loc_ModCompOut);
+ }
+
+ /* It's called after an execution of the each test case.*/
+ void TearDown() override {
+
+ }
+};
+
+TEST_P(Mod_CompressionPerf, AVX512_Mod_Comp)
+{
+ performance("AVX512", module_name, xranlib_5gnr_mod_compression_avx512, &mod_com_req, &mod_com_rsp);
+}
+
+
+TEST_P(Mod_CompressionPerf, AVXSNC_Mod_Comp)
+{
+ if(_may_i_use_cpu_feature(_FEATURE_AVX512IFMA52))
+ performance("AVXSNC", module_name, xranlib_5gnr_mod_compression_snc, &mod_com_req, &mod_com_rsp);
+}
+
+INSTANTIATE_TEST_CASE_P(UnitTest, Mod_CompressionPerf,
+ testing::ValuesIn(get_sequence(Mod_CompressionPerf::get_number_of_cases("mod_compression_performace"))));