165 lines
3.9 KiB
C++
Executable File
165 lines
3.9 KiB
C++
Executable File
#include "FIRF16.h"
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#include <stdio.h>
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#include "Error.h"
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#define SNR_THRESHOLD 60
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/*
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Reference patterns are generated with
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a double precision computation.
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*/
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#define REL_ERROR (2.0e-2)
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#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)
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static __ALIGNED(8) float16_t coeffArray[32];
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#endif
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static void checkInnerTail(float16_t *b)
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{
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ASSERT_TRUE(b[0] == 0.0f);
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ASSERT_TRUE(b[1] == 0.0f);
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ASSERT_TRUE(b[2] == 0.0f);
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ASSERT_TRUE(b[3] == 0.0f);
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}
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// Coef must be padded to a multiple of 4
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#define FIRCOEFPADDING 2
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void FIRF16::test_fir_f16()
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{
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const int16_t *configp = configs.ptr();
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float16_t *statep = state.ptr();
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const float16_t *orgcoefsp = coefs.ptr();
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const float16_t *coefsp;
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const float16_t *inputp = inputs.ptr();
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float16_t *outp = output.ptr();
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unsigned long i;
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#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)
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int j;
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#endif
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int blockSize;
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int numTaps;
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#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)
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int round;
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#endif
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/*
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Python script is generating different tests with
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different blockSize and numTaps.
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We loop on those configs.
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*/
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for(i=0; i < configs.nbSamples() ; i += 2)
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{
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blockSize = configp[0];
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numTaps = configp[1];
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#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)
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/* Copy coefficients and pad to zero
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*/
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memset(coeffArray,127,32*sizeof(float16_t));
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round = numTaps >> FIRCOEFPADDING;
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if ((round << FIRCOEFPADDING) < numTaps)
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{
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round ++;
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}
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round = round<<FIRCOEFPADDING;
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memset(coeffArray,0,round*sizeof(float16_t));
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//printf("blockSize=%d, numTaps=%d, round=%d (%d)\n",blockSize,numTaps,round,round - numTaps);
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for(j=0;j < numTaps; j++)
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{
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coeffArray[j] = orgcoefsp[j];
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}
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coefsp = coeffArray;
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#else
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coefsp = orgcoefsp;
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#endif
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/*
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The filter is initialized with the coefs, blockSize and numTaps.
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*/
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arm_fir_init_f16(&this->S,numTaps,coefsp,statep,blockSize);
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/*
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Input pointer is reset since the same input pattern is used
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*/
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inputp = inputs.ptr();
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/*
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Python script is filtering a 2*blockSize number of samples.
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We do the same filtering in two pass to check (indirectly that
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the state management of the fir is working.)
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*/
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arm_fir_f16(&this->S,inputp,outp,blockSize);
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outp += blockSize;
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checkInnerTail(outp);
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inputp += blockSize;
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arm_fir_f16(&this->S,inputp,outp,blockSize);
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outp += blockSize;
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checkInnerTail(outp);
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configp += 2;
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orgcoefsp += numTaps;
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}
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ASSERT_EMPTY_TAIL(output);
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ASSERT_SNR(output,ref,(float16_t)SNR_THRESHOLD);
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ASSERT_REL_ERROR(output,ref,REL_ERROR);
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}
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void FIRF16::setUp(Testing::testID_t id,std::vector<Testing::param_t>& params,Client::PatternMgr *mgr)
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{
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(void)params;
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switch(id)
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{
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case FIRF16::TEST_FIR_F16_1:
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break;
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}
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inputs.reload(FIRF16::FIRINPUTS_F16_ID,mgr);
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coefs.reload(FIRF16::FIRCOEFS_F16_ID,mgr);
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configs.reload(FIRF16::FIRCONFIGS_S16_ID,mgr);
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ref.reload(FIRF16::FIRREFS_F16_ID,mgr);
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output.create(ref.nbSamples(),FIRF16::OUT_F16_ID,mgr);
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/* > Max 8*ceil(blockSize,8) + blockSize + numTaps - 1 as generated by Python script */
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state.create(47+47,FIRF16::OUT_F16_ID,mgr);
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}
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void FIRF16::tearDown(Testing::testID_t id,Client::PatternMgr *mgr)
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{
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(void)id;
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output.dump(mgr);
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}
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