/******************************************************************************
*
-* Copyright (c) 2019 Intel.
+* 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.
**/
#include "xran_compression.hpp"
-#include "xran_bfp_utils.hpp"
#include "xran_compression.h"
+#include "xran_mod_compression.h"
+#include "xran_fh_o_du.h"
#include <complex>
#include <algorithm>
#include <immintrin.h>
#include <limits.h>
#include <cstring>
-namespace BFP_UPlane
-{
- /// Namespace constants
- const int k_numREReal = 24; /// 12 IQ pairs
-
- /// Perform horizontal max of 16 bit values across each lane
- __m512i
- horizontalMax4x16(const __m512i maxAbsIn)
- {
- /// Swap 64b in each lane and compute max
- const auto k_perm64b = _mm512_set_epi64(6, 7, 4, 5, 2, 3, 0, 1);
- auto maxAbsPerm = _mm512_permutexvar_epi64(k_perm64b, maxAbsIn);
- auto maxAbsHorz = _mm512_max_epi16(maxAbsIn, maxAbsPerm);
-
- /// Swap each pair of 32b in each lane and compute max
- const auto k_perm32b = _mm512_set_epi32(14, 15, 12, 13, 10, 11, 8, 9, 6, 7, 4, 5, 2, 3, 0, 1);
- maxAbsPerm = _mm512_permutexvar_epi32(k_perm32b, maxAbsHorz);
- maxAbsHorz = _mm512_max_epi16(maxAbsHorz, maxAbsPerm);
-
- /// Swap each IQ pair in each lane (via 32b rotation) and compute max
- maxAbsPerm = _mm512_rol_epi32(maxAbsHorz, BlockFloatCompander::k_numBitsIQ);
- return _mm512_max_epi16(maxAbsHorz, maxAbsPerm);
- }
-
-
- /// Perform U-plane input data re-ordering and vertical max abs of 16b values
- /// Works on 4 RB at a time
- __m512i
- maxAbsVertical4RB(const __m512i inA, const __m512i inB, const __m512i inC)
- {
- /// Re-order the next 4RB in input data into 3 registers
- /// Input SIMD vectors are:
- /// [A A A A A A A A A A A A B B B B]
- /// [B B B B B B B B C C C C C C C C]
- /// [C C C C D D D D D D D D D D D D]
- /// Re-ordered SIMD vectors are:
- /// [A A A A B B B B C C C C D D D D]
- /// [A A A A B B B B C C C C D D D D]
- /// [A A A A B B B B C C C C D D D D]
- constexpr uint8_t k_msk1 = 0b11111100; // Copy first lane of src
- constexpr int k_shuff1 = 0x41;
- const auto z_w1 = _mm512_mask_shuffle_i64x2(inA, k_msk1, inB, inC, k_shuff1);
-
- constexpr uint8_t k_msk2 = 0b11000011; // Copy middle two lanes of src
- constexpr int k_shuff2 = 0xB1;
- const auto z_w2 = _mm512_mask_shuffle_i64x2(inB, k_msk2, inA, inC, k_shuff2);
-
- constexpr uint8_t k_msk3 = 0b00111111; // Copy last lane of src
- constexpr int k_shuff3 = 0xBE;
- const auto z_w3 = _mm512_mask_shuffle_i64x2(inC, k_msk3, inA, inB, k_shuff3);
-
- /// Perform max abs on these 3 registers
- const auto abs16_1 = _mm512_abs_epi16(z_w1);
- const auto abs16_2 = _mm512_abs_epi16(z_w2);
- const auto abs16_3 = _mm512_abs_epi16(z_w3);
- return _mm512_max_epi16(_mm512_max_epi16(abs16_1, abs16_2), abs16_3);
- }
-
+using namespace BlockFloatCompander;
- /// Selects first 32 bit value in each src lane and packs into laneNum of dest
- __m512i
- slidePermute(const __m512i src, const __m512i dest, const int laneNum)
- {
- const auto k_selectVals = _mm512_set_epi32(28, 24, 20, 16, 28, 24, 20, 16,
- 28, 24, 20, 16, 28, 24, 20, 16);
- constexpr uint16_t k_laneMsk[4] = { 0x000F, 0x00F0, 0x0F00, 0xF000 };
- return _mm512_mask_permutex2var_epi32(dest, k_laneMsk[laneNum], k_selectVals, src);
- }
-
-
- /// Compute exponent value for a set of 16 RB from the maximum absolute value.
- /// Max Abs operates in a loop, executing 4 RB per iteration. The results are
- /// packed into the final output register.
- __m512i
- computeExponent_16RB(const BlockFloatCompander::ExpandedData& dataIn, const __m512i totShiftBits)
- {
- __m512i maxAbs = __m512i();
- const __m512i* rawData = reinterpret_cast<const __m512i*>(dataIn.dataExpanded);
- /// Max Abs loop operates on 4RB at a time
-#pragma unroll(4)
- for (int n = 0; n < 4; ++n)
- {
- /// Re-order and vertical max abs
- auto maxAbsVert = maxAbsVertical4RB(rawData[3 * n + 0], rawData[3 * n + 1], rawData[3 * n + 2]);
- /// Horizontal max abs
- auto maxAbsHorz = horizontalMax4x16(maxAbsVert);
- /// Pack these 4 values into maxAbs
- maxAbs = slidePermute(maxAbsHorz, maxAbs, n);
- }
- /// Calculate exponent
- const auto maxAbs32 = BlockFloatCompander::maskUpperWord(maxAbs);
- return BlockFloatCompander::expLzCnt(maxAbs32, totShiftBits);
- }
-
-
- /// Compute exponent value for a set of 4 RB from the maximum absolute value.
- /// Note that we do not need to perform any packing of result as we are only
- /// computing 4 RB. The appropriate offset is taken later when extracting the
- /// exponent.
- __m512i
- computeExponent_4RB(const BlockFloatCompander::ExpandedData& dataIn, const __m512i totShiftBits)
- {
- const __m512i* rawData = reinterpret_cast<const __m512i*>(dataIn.dataExpanded);
- /// Re-order and vertical max abs
- const auto maxAbsVert = maxAbsVertical4RB(rawData[0], rawData[1], rawData[2]);
- /// Horizontal max abs
- const auto maxAbsHorz = horizontalMax4x16(maxAbsVert);
- /// Calculate exponent
- const auto maxAbs = BlockFloatCompander::maskUpperWord(maxAbsHorz);
- return BlockFloatCompander::expLzCnt(maxAbs, totShiftBits);
- }
-
-
- /// Compute exponent value for 1 RB from the maximum absolute value.
- /// This works with horizontal max abs only, and needs to include a
- /// step to select the final exponent from the 4 lanes.
- uint8_t
- computeExponent_1RB(const BlockFloatCompander::ExpandedData& dataIn, const __m512i totShiftBits)
- {
- const __m512i* rawData = reinterpret_cast<const __m512i*>(dataIn.dataExpanded);
- /// Abs
- const auto rawDataAbs = _mm512_abs_epi16(rawData[0]);
- /// No need to do a full horizontal max operation here, just do a max IQ step,
- /// compute the exponents and then use a reduce max over all exponent values. This
- /// is the fastest way to handle a single RB.
- const auto rawAbsIQSwap = _mm512_rol_epi32(rawDataAbs, BlockFloatCompander::k_numBitsIQ);
- const auto maxAbsIQ = _mm512_max_epi16(rawDataAbs, rawAbsIQSwap);
- /// Calculate exponent
- const auto maxAbsIQ32 = BlockFloatCompander::maskUpperWord(maxAbsIQ);
- const auto exps = BlockFloatCompander::expLzCnt(maxAbsIQ32, totShiftBits);
- /// At this point we have exponent values for the maximum of each IQ pair.
- /// Run a reduce max step to compute the maximum exponent value in the first
- /// three lanes - this will give the desired exponent for this RB.
- constexpr uint16_t k_expMsk = 0x0FFF;
- return (uint8_t)_mm512_mask_reduce_max_epi32(k_expMsk, exps);
- }
-
-
- /// Apply compression to 1 RB
- template<BlockFloatCompander::PackFunction networkBytePack>
- void
- applyCompressionN_1RB(const BlockFloatCompander::ExpandedData& dataIn, BlockFloatCompander::CompressedData* dataOut,
- const int numREOffset, const uint8_t thisExp, const int thisRBExpAddr, const uint16_t rbWriteMask)
- {
- /// Get AVX512 pointer aligned to desired RB
- const __m512i* rawDataIn = reinterpret_cast<const __m512i*>(dataIn.dataExpanded + numREOffset);
- /// Apply the exponent shift
- const auto compData = _mm512_srai_epi16(*rawDataIn, thisExp);
- /// Pack compressed data network byte order
- const auto compDataBytePacked = networkBytePack(compData);
- /// Store exponent first
- dataOut->dataCompressed[thisRBExpAddr] = thisExp;
- /// Now have 1 RB worth of bytes separated into 3 chunks (1 per lane)
- /// Use three offset stores to join
- _mm_mask_storeu_epi8(dataOut->dataCompressed + thisRBExpAddr + 1, rbWriteMask, _mm512_extracti64x2_epi64(compDataBytePacked, 0));
- _mm_mask_storeu_epi8(dataOut->dataCompressed + thisRBExpAddr + 1 + dataIn.iqWidth, rbWriteMask, _mm512_extracti64x2_epi64(compDataBytePacked, 1));
- _mm_mask_storeu_epi8(dataOut->dataCompressed + thisRBExpAddr + 1 + (2 * dataIn.iqWidth), rbWriteMask, _mm512_extracti64x2_epi64(compDataBytePacked, 2));
- }
-
-
- /// Apply 9, 10, or 12bit compression to 16 RB
- template<BlockFloatCompander::PackFunction networkBytePack>
- void
- compressN_16RB(const BlockFloatCompander::ExpandedData& dataIn, BlockFloatCompander::CompressedData* dataOut,
- const __m512i totShiftBits, const int totNumBytesPerRB, const uint16_t rbWriteMask)
- {
- const auto exponents = computeExponent_16RB(dataIn, totShiftBits);
-#pragma unroll(16)
- for (int n = 0; n < 16; ++n)
- {
- applyCompressionN_1RB<networkBytePack>(dataIn, dataOut, n * k_numREReal, ((uint8_t*)&exponents)[n * 4], n * totNumBytesPerRB, rbWriteMask);
- }
- }
-
-
- /// Apply 9, 10, or 12bit compression to 4 RB
- template<BlockFloatCompander::PackFunction networkBytePack>
- void
- compressN_4RB(const BlockFloatCompander::ExpandedData& dataIn, BlockFloatCompander::CompressedData* dataOut,
- const __m512i totShiftBits, const int totNumBytesPerRB, const uint16_t rbWriteMask)
- {
- const auto exponents = computeExponent_4RB(dataIn, totShiftBits);
-#pragma unroll(4)
- for (int n = 0; n < 4; ++n)
- {
- applyCompressionN_1RB<networkBytePack>(dataIn, dataOut, n * k_numREReal, ((uint8_t*)&exponents)[n * 16], n * totNumBytesPerRB, rbWriteMask);
- }
- }
-
-
- /// Apply 9, 10, or 12bit compression to 1 RB
- template<BlockFloatCompander::PackFunction networkBytePack>
- void
- compressN_1RB(const BlockFloatCompander::ExpandedData& dataIn, BlockFloatCompander::CompressedData* dataOut,
- const __m512i totShiftBits, const int totNumBytesPerRB, const uint16_t rbWriteMask)
- {
- const auto thisExponent = computeExponent_1RB(dataIn, totShiftBits);
- applyCompressionN_1RB<networkBytePack>(dataIn, dataOut, 0, thisExponent, 0, rbWriteMask);
- }
-
-
- /// Calls compression function specific to the number of RB to be executed. For 9, 10, or 12bit iqWidth.
- template<BlockFloatCompander::PackFunction networkBytePack>
- void
- compressByAllocN(const BlockFloatCompander::ExpandedData& dataIn, BlockFloatCompander::CompressedData* dataOut,
- const __m512i totShiftBits, const int totNumBytesPerRB, const uint16_t rbWriteMask)
- {
- switch (dataIn.numBlocks)
- {
- case 16:
- compressN_16RB<networkBytePack>(dataIn, dataOut, totShiftBits, totNumBytesPerRB, rbWriteMask);
- break;
-
- case 4:
- compressN_4RB<networkBytePack>(dataIn, dataOut, totShiftBits, totNumBytesPerRB, rbWriteMask);
- break;
-
- case 1:
- compressN_1RB<networkBytePack>(dataIn, dataOut, totShiftBits, totNumBytesPerRB, rbWriteMask);
- break;
- }
- }
-
-
- /// Apply compression to 1 RB
- void
- applyCompression8_1RB(const BlockFloatCompander::ExpandedData& dataIn, BlockFloatCompander::CompressedData* dataOut,
- const int numREOffset, const uint8_t thisExp, const int thisRBExpAddr)
- {
- /// Get AVX512 pointer aligned to desired RB
- const __m512i* rawDataIn = reinterpret_cast<const __m512i*>(dataIn.dataExpanded + numREOffset);
- /// Apply the exponent shift
- const auto compData = _mm512_srai_epi16(*rawDataIn, thisExp);
- /// Store exponent first
- dataOut->dataCompressed[thisRBExpAddr] = thisExp;
- /// Now have 1 RB worth of bytes separated into 3 chunks (1 per lane)
- /// Use three offset stores to join
- constexpr uint32_t k_rbMask = 0x00FFFFFF; // Write mask for 1RB (24 values)
- _mm256_mask_storeu_epi8(dataOut->dataCompressed + thisRBExpAddr + 1, k_rbMask, _mm512_cvtepi16_epi8(compData));
- }
-
-
- /// 8bit RB compression loop for 16 RB
- void
- compress8_16RB(const BlockFloatCompander::ExpandedData& dataIn, BlockFloatCompander::CompressedData* dataOut, const __m512i totShiftBits)
- {
- const auto exponents = computeExponent_16RB(dataIn, totShiftBits);
-#pragma unroll(16)
- for (int n = 0; n < 16; ++n)
- {
- applyCompression8_1RB(dataIn, dataOut, n * k_numREReal, ((uint8_t*)&exponents)[n * 4], n * (k_numREReal + 1));
- }
- }
+/** callback function type for Symbol packet */
+typedef void (*xran_bfp_compress_fn)(const BlockFloatCompander::ExpandedData& dataIn,
+ BlockFloatCompander::CompressedData* dataOut);
+/** callback function type for Symbol packet */
+typedef void (*xran_bfp_decompress_fn)(const BlockFloatCompander::CompressedData& dataIn, BlockFloatCompander::ExpandedData* dataOut);
- /// 8bit RB compression loop for 4 RB
- void
- compress8_4RB(const BlockFloatCompander::ExpandedData& dataIn, BlockFloatCompander::CompressedData* dataOut, const __m512i totShiftBits)
+int32_t
+xranlib_compress(const struct xranlib_compress_request *request,
+ struct xranlib_compress_response *response)
{
- const auto exponents = computeExponent_4RB(dataIn, totShiftBits);
-#pragma unroll(4)
- for (int n = 0; n < 4; ++n)
+ if (request->compMethod == XRAN_COMPMETHOD_MODULATION)
{
- applyCompression8_1RB(dataIn, dataOut, n * k_numREReal, ((uint8_t*)&exponents)[n * 16], n * (k_numREReal + 1));
- }
- }
-
-
- /// 8bit RB compression loop for 4 RB
- void
- compress8_1RB(const BlockFloatCompander::ExpandedData& dataIn, BlockFloatCompander::CompressedData* dataOut, const __m512i totShiftBits)
- {
- const auto thisExponent = computeExponent_1RB(dataIn, totShiftBits);
- applyCompression8_1RB(dataIn, dataOut, 0, thisExponent, 0);
+ struct xranlib_5gnr_mod_compression_request mod_request;
+ struct xranlib_5gnr_mod_compression_response mod_response;
+ mod_request.data_in = request->data_in;
+ mod_request.unit = request->ScaleFactor;
+ mod_request.modulation = (enum xran_modulation_order)(request->iqWidth * 2);
+ mod_request.num_symbols = request->numRBs * XRAN_NUM_OF_SC_PER_RB;
+ mod_request.re_mask = request->reMask;
+ mod_response.data_out = response->data_out;
+ response->len = (request->numRBs * XRAN_NUM_OF_SC_PER_RB * request->iqWidth * 2) >> 3;
+
+ return xranlib_5gnr_mod_compression(&mod_request, &mod_response);
}
-
-
- /// Calls compression function specific to the number of RB to be executed. For 8 bit iqWidth.
- void
- compressByAlloc8(const BlockFloatCompander::ExpandedData& dataIn, BlockFloatCompander::CompressedData* dataOut, const __m512i totShiftBits)
- {
- switch (dataIn.numBlocks)
- {
- case 16:
- compress8_16RB(dataIn, dataOut, totShiftBits);
- break;
-
- case 4:
- compress8_4RB(dataIn, dataOut, totShiftBits);
- break;
-
- case 1:
- compress8_1RB(dataIn, dataOut, totShiftBits);
- break;
+ else{
+ if(_may_i_use_cpu_feature(_FEATURE_AVX512IFMA52)) {
+ return xranlib_compress_avxsnc(request,response);
+ } else {
+ return xranlib_compress_avx512(request,response);
}
}
-
-
- /// Apply compression to 1 RB
- template<BlockFloatCompander::UnpackFunction networkByteUnpack>
- void
- applyExpansionN_1RB(const BlockFloatCompander::CompressedData& dataIn, BlockFloatCompander::ExpandedData* dataOut,
- const int expAddr, const int thisRBAddr, const int maxExpShift)
- {
- /// Unpack network order packed data
- const auto dataUnpacked = networkByteUnpack(dataIn.dataCompressed + expAddr + 1);
- /// Apply exponent scaling (by appropriate arithmetic shift right)
- const auto dataExpanded = _mm512_srai_epi16(dataUnpacked, maxExpShift - *(dataIn.dataCompressed + expAddr));
- /// Write expanded data to output
- static constexpr uint32_t k_WriteMask = 0x00FFFFFF;
- _mm512_mask_storeu_epi16(dataOut->dataExpanded + thisRBAddr, k_WriteMask, dataExpanded);
}
-
- /// Calls compression function specific to the number of RB to be executed. For 9, 10, or 12bit iqWidth.
- template<BlockFloatCompander::UnpackFunction networkByteUnpack>
- void
- expandByAllocN(const BlockFloatCompander::CompressedData& dataIn, BlockFloatCompander::ExpandedData* dataOut,
- const int totNumBytesPerRB, const int maxExpShift)
+int32_t
+xranlib_decompress(const struct xranlib_decompress_request *request,
+ struct xranlib_decompress_response *response)
{
- switch (dataIn.numBlocks)
+ if (request->compMethod == XRAN_COMPMETHOD_MODULATION)
{
- case 16:
-#pragma unroll(16)
- for (int n = 0; n < 16; ++n)
- {
- applyExpansionN_1RB<networkByteUnpack>(dataIn, dataOut, n * totNumBytesPerRB, n * k_numREReal, maxExpShift);
- }
- break;
-
- case 4:
-#pragma unroll(4)
- for (int n = 0; n < 4; ++n)
- {
- applyExpansionN_1RB<networkByteUnpack>(dataIn, dataOut, n * totNumBytesPerRB, n * k_numREReal, maxExpShift);
+ struct xranlib_5gnr_mod_decompression_request mod_request;
+ struct xranlib_5gnr_mod_decompression_response mod_response;
+ mod_request.data_in = request->data_in;
+ mod_request.unit = request->ScaleFactor;
+ mod_request.modulation = (enum xran_modulation_order)(request->iqWidth * 2);
+ mod_request.num_symbols = request->numRBs * XRAN_NUM_OF_SC_PER_RB;
+ mod_request.re_mask = request->reMask;
+ mod_response.data_out = response->data_out;
+ response->len = request->numRBs * XRAN_NUM_OF_SC_PER_RB * 4;
+
+ return xranlib_5gnr_mod_decompression(&mod_request, &mod_response);
}
- break;
-
- case 1:
- applyExpansionN_1RB<networkByteUnpack>(dataIn, dataOut, 0, 0, maxExpShift);
- break;
+ else{
+ if(_may_i_use_cpu_feature(_FEATURE_AVX512IFMA52)) {
+ return xranlib_decompress_avxsnc(request,response);
+ } else {
+ return xranlib_decompress_avx512(request,response);
}
}
-
-
- /// Apply expansion to 1 RB and store
- void
- applyExpansion8_1RB(const BlockFloatCompander::CompressedData& dataIn, BlockFloatCompander::ExpandedData* dataOut,
- const int expAddr, const int thisRBAddr)
- {
- const __m256i* rawDataIn = reinterpret_cast<const __m256i*>(dataIn.dataCompressed + expAddr + 1);
- const auto compData16 = _mm512_cvtepi8_epi16(*rawDataIn);
- const auto expData = _mm512_slli_epi16(compData16, *(dataIn.dataCompressed + expAddr));
- constexpr uint8_t k_rbMask64 = 0b00111111; // 64b write mask for 1RB (24 int16 values)
- _mm512_mask_storeu_epi64(dataOut->dataExpanded + thisRBAddr, k_rbMask64, expData);
}
-
- /// Calls expansion function specific to the number of RB to be executed. For 8 bit iqWidth.
- void
- expandByAlloc8(const BlockFloatCompander::CompressedData& dataIn, BlockFloatCompander::ExpandedData* dataOut)
- {
- switch (dataIn.numBlocks)
+int32_t
+xranlib_compress_bfw(const struct xranlib_compress_request *request,
+ struct xranlib_compress_response *response)
{
- case 16:
-#pragma unroll(16)
- for (int n = 0; n < 16; ++n)
- {
- applyExpansion8_1RB(dataIn, dataOut, n * (k_numREReal + 1), n * k_numREReal);
- }
- break;
-
- case 4:
-#pragma unroll(4)
- for (int n = 0; n < 4; ++n)
- {
- applyExpansion8_1RB(dataIn, dataOut, n * (k_numREReal + 1), n * k_numREReal);
- }
- break;
-
- case 1:
- applyExpansion8_1RB(dataIn, dataOut, 0, 0);
- break;
+ if(_may_i_use_cpu_feature(_FEATURE_AVX512IFMA52)) {
+ return xranlib_compress_avxsnc_bfw(request,response);
+ } else {
+ return xranlib_compress_avx512_bfw(request,response);
}
}
-}
-
-
-
-/// Main kernel function for compression.
-/// Starts by determining iqWidth specific parameters and functions.
-void
-BlockFloatCompander::BFPCompressUserPlaneAvx512(const ExpandedData& dataIn, CompressedData* dataOut)
-{
- /// Compensation for extra zeros in 32b leading zero count when computing exponent
- const auto totShiftBits8 = _mm512_set1_epi32(25);
- const auto totShiftBits9 = _mm512_set1_epi32(24);
- const auto totShiftBits10 = _mm512_set1_epi32(23);
- const auto totShiftBits12 = _mm512_set1_epi32(21);
-
- /// Total number of compressed bytes per RB for each iqWidth option
- constexpr int totNumBytesPerRB9 = 28;
- constexpr int totNumBytesPerRB10 = 31;
- constexpr int totNumBytesPerRB12 = 37;
-
- /// Compressed data write mask for each iqWidth option
- constexpr uint16_t rbWriteMask9 = 0x01FF;
- constexpr uint16_t rbWriteMask10 = 0x03FF;
- constexpr uint16_t rbWriteMask12 = 0x0FFF;
-
- switch (dataIn.iqWidth)
- {
- case 8:
- BFP_UPlane::compressByAlloc8(dataIn, dataOut, totShiftBits8);
- break;
-
- case 9:
- BFP_UPlane::compressByAllocN<BlockFloatCompander::networkBytePack9b>(dataIn, dataOut, totShiftBits9, totNumBytesPerRB9, rbWriteMask9);
- break;
-
- case 10:
- BFP_UPlane::compressByAllocN<BlockFloatCompander::networkBytePack10b>(dataIn, dataOut, totShiftBits10, totNumBytesPerRB10, rbWriteMask10);
- break;
-
- case 12:
- BFP_UPlane::compressByAllocN<BlockFloatCompander::networkBytePack12b>(dataIn, dataOut, totShiftBits12, totNumBytesPerRB12, rbWriteMask12);
- break;
- }
-}
-
-
-/// Main kernel function for expansion.
-/// Starts by determining iqWidth specific parameters and functions.
-void
-BlockFloatCompander::BFPExpandUserPlaneAvx512(const CompressedData& dataIn, ExpandedData* dataOut)
-{
- constexpr int k_totNumBytesPerRB9 = 28;
- constexpr int k_totNumBytesPerRB10 = 31;
- constexpr int k_totNumBytesPerRB12 = 37;
-
- constexpr int k_maxExpShift9 = 7;
- constexpr int k_maxExpShift10 = 6;
- constexpr int k_maxExpShift12 = 4;
-
- switch (dataIn.iqWidth)
+int32_t
+xranlib_decompress_bfw(const struct xranlib_decompress_request *request,
+ struct xranlib_decompress_response *response)
{
- case 8:
- BFP_UPlane::expandByAlloc8(dataIn, dataOut);
- break;
-
- case 9:
- BFP_UPlane::expandByAllocN<BlockFloatCompander::networkByteUnpack9b>(dataIn, dataOut, k_totNumBytesPerRB9, k_maxExpShift9);
- break;
-
- case 10:
- BFP_UPlane::expandByAllocN<BlockFloatCompander::networkByteUnpack10b>(dataIn, dataOut, k_totNumBytesPerRB10, k_maxExpShift10);
- break;
-
- case 12:
- BFP_UPlane::expandByAllocN<BlockFloatCompander::networkByteUnpack12b>(dataIn, dataOut, k_totNumBytesPerRB12, k_maxExpShift12);
- break;
+ if(_may_i_use_cpu_feature(_FEATURE_AVX512IFMA52)) {
+ return xranlib_decompress_avxsnc_bfw(request,response);
+ } else {
+ return xranlib_decompress_avx512_bfw(request,response);
}
}
-/** callback function type for Symbol packet */
-typedef void (*xran_bfp_compress_fn)(const BlockFloatCompander::ExpandedData& dataIn,
- BlockFloatCompander::CompressedData* dataOut);
-
-/** callback function type for Symbol packet */
-typedef void (*xran_bfp_decompress_fn)(const BlockFloatCompander::CompressedData& dataIn, BlockFloatCompander::ExpandedData* dataOut);
-
int32_t
xranlib_compress_avx512(const struct xranlib_compress_request *request,
struct xranlib_compress_response *response)
Code Review / o-du / phy.git / blobdiff