476 lines
12 KiB
C++
Executable File
476 lines
12 KiB
C++
Executable File
#include "BIQUADF32.h"
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#include <stdio.h>
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#include "Error.h"
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#define SNR_THRESHOLD 98
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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 (1.2e-3)
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void BIQUADF32::test_biquad_cascade_df1_ref()
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{
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float32_t *statep = state.ptr();
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float32_t *debugstatep = debugstate.ptr();
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const float32_t *coefsp = coefs.ptr();
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const float32_t *inputp = inputs.ptr();
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float32_t *outp = output.ptr();
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#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)
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arm_biquad_mod_coef_f32 *coefsmodp = (arm_biquad_mod_coef_f32*)vecCoefs.ptr();
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#endif
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int blockSize;
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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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blockSize = inputs.nbSamples() >> 1;
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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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#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)
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arm_biquad_cascade_df1_mve_init_f32(&this->Sdf1,3,coefsp,coefsmodp,statep);
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#else
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arm_biquad_cascade_df1_init_f32(&this->Sdf1,3,coefsp,statep);
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#endif
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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_biquad_cascade_df1_f32(&this->Sdf1,inputp,outp,blockSize);
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memcpy(debugstatep,statep,3*4*sizeof(float32_t));
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debugstatep += 3*4;
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outp += blockSize;
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inputp += blockSize;
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arm_biquad_cascade_df1_f32(&this->Sdf1,inputp,outp,blockSize);
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outp += blockSize;
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memcpy(debugstatep,statep,3*4*sizeof(float32_t));
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debugstatep += 3*4;
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ASSERT_EMPTY_TAIL(output);
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ASSERT_SNR(output,ref,(float32_t)SNR_THRESHOLD);
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ASSERT_REL_ERROR(output,ref,REL_ERROR);
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}
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void BIQUADF32::test_biquad_cascade_df2T_ref()
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{
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float32_t *statep = state.ptr();
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const float32_t *coefsp = coefs.ptr();
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const float32_t *inputp = inputs.ptr();
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float32_t *outp = output.ptr();
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int blockSize;
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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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blockSize = inputs.nbSamples() >> 1;
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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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#if !defined(ARM_MATH_NEON)
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arm_biquad_cascade_df2T_init_f32(&this->Sdf2T,3,coefsp,statep);
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#else
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float32_t *vecCoefsPtr = vecCoefs.ptr();
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// Those Neon coefs must be computed from original coefs
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arm_biquad_cascade_df2T_compute_coefs_f32(3,coefsp,vecCoefsPtr);
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arm_biquad_cascade_df2T_init_f32(&this->Sdf2T,
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3,
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vecCoefsPtr,
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statep);
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#endif
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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_biquad_cascade_df2T_f32(&this->Sdf2T,inputp,outp,blockSize);
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outp += blockSize;
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inputp += blockSize;
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arm_biquad_cascade_df2T_f32(&this->Sdf2T,inputp,outp,blockSize);
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outp += blockSize;
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ASSERT_EMPTY_TAIL(output);
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ASSERT_SNR(output,ref,(float32_t)SNR_THRESHOLD);
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ASSERT_REL_ERROR(output,ref,REL_ERROR);
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}
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void BIQUADF32::test_biquad_cascade_df1_rand()
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{
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float32_t *statep = state.ptr();
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const float32_t *coefsp = coefs.ptr();
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const int16_t *configsp = configs.ptr();
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const float32_t *inputp = inputs.ptr();
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float32_t *outp = output.ptr();
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#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)
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arm_biquad_mod_coef_f32 *coefsmodp = (arm_biquad_mod_coef_f32*)vecCoefs.ptr();
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#endif
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int blockSize;
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int numStages;
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unsigned long i;
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for(i=0;i < configs.nbSamples(); i+=2)
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{
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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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numStages = configsp[0];
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blockSize = configsp[1];
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configsp += 2;
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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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#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)
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arm_biquad_cascade_df1_mve_init_f32(&this->Sdf1,numStages,coefsp,coefsmodp,statep);
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#else
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arm_biquad_cascade_df1_init_f32(&this->Sdf1,numStages,coefsp,statep);
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#endif
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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_biquad_cascade_df1_f32(&this->Sdf1,inputp,outp,blockSize);
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inputp += blockSize;
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outp += blockSize;
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coefsp += numStages * 5;
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}
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ASSERT_EMPTY_TAIL(output);
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ASSERT_SNR(output,ref,(float32_t)SNR_THRESHOLD);
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ASSERT_REL_ERROR(output,ref,REL_ERROR);
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}
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void BIQUADF32::test_biquad_cascade_df2T_rand()
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{
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float32_t *statep = state.ptr();
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const int16_t *configsp = configs.ptr();
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#if !defined(ARM_MATH_NEON)
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const float32_t *coefsp = coefs.ptr();
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#else
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float32_t *coefsp = coefs.ptr();
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#endif
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const float32_t *inputp = inputs.ptr();
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float32_t *outp = output.ptr();
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int blockSize;
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int numStages;
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unsigned long i;
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for(i=0;i < configs.nbSamples(); i+=2)
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{
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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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numStages = configsp[0];
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blockSize = configsp[1];
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configsp += 2;
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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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#if !defined(ARM_MATH_NEON)
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arm_biquad_cascade_df2T_init_f32(&this->Sdf2T,numStages,coefsp,statep);
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#else
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float32_t *vecCoefsPtr = vecCoefs.ptr();
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// Those Neon coefs must be computed from original coefs
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arm_biquad_cascade_df2T_compute_coefs_f32(numStages,coefsp,vecCoefsPtr);
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arm_biquad_cascade_df2T_init_f32(&this->Sdf2T,
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numStages,
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vecCoefsPtr,
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statep);
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#endif
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coefsp += numStages * 5;
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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_biquad_cascade_df2T_f32(&this->Sdf2T,inputp,outp,blockSize);
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outp += blockSize;
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inputp += blockSize;
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}
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ASSERT_EMPTY_TAIL(output);
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ASSERT_SNR(output,ref,(float32_t)SNR_THRESHOLD);
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ASSERT_REL_ERROR(output,ref,REL_ERROR);
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}
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void BIQUADF32::test_biquad_cascade_stereo_df2T_rand()
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{
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float32_t *statep = state.ptr();
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const int16_t *configsp = configs.ptr();
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const float32_t *coefsp = coefs.ptr();
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const float32_t *inputp = inputs.ptr();
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float32_t *outp = output.ptr();
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int blockSize;
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int numStages;
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unsigned long i;
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for(i=0;i < configs.nbSamples(); i+=2)
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{
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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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numStages = configsp[0];
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blockSize = configsp[1];
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configsp += 2;
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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_biquad_cascade_stereo_df2T_init_f32(&this->SStereodf2T,numStages,coefsp,statep);
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coefsp += numStages * 5;
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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_biquad_cascade_stereo_df2T_f32(&this->SStereodf2T,inputp,outp,blockSize);
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outp += 2*blockSize;
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inputp += 2*blockSize;
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}
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ASSERT_EMPTY_TAIL(output);
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ASSERT_SNR(output,ref,(float32_t)SNR_THRESHOLD);
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ASSERT_REL_ERROR(output,ref,REL_ERROR);
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}
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void BIQUADF32::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 BIQUADF32::TEST_BIQUAD_CASCADE_DF1_REF_1:
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debugstate.create(2*64,BIQUADF32::STATE_F32_ID,mgr);
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inputs.reload(BIQUADF32::BIQUADINPUTS_F32_ID,mgr);
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coefs.reload(BIQUADF32::BIQUADCOEFS_F32_ID,mgr);
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ref.reload(BIQUADF32::BIQUADREFS_F32_ID,mgr);
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#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)
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/* Max num stages is 47 in Python script */
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vecCoefs.create(32*47,BIQUADF32::OUT_F32_ID,mgr);
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#endif
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break;
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case BIQUADF32::TEST_BIQUAD_CASCADE_DF2T_REF_2:
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vecCoefs.create(64,BIQUADF32::OUT_F32_ID,mgr);
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inputs.reload(BIQUADF32::BIQUADINPUTS_F32_ID,mgr);
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coefs.reload(BIQUADF32::BIQUADCOEFS_F32_ID,mgr);
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ref.reload(BIQUADF32::BIQUADREFS_F32_ID,mgr);
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break;
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case BIQUADF32::TEST_BIQUAD_CASCADE_DF1_RAND_3:
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inputs.reload(BIQUADF32::ALLBIQUADINPUTS_F32_ID,mgr);
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coefs.reload(BIQUADF32::ALLBIQUADCOEFS_F32_ID,mgr);
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ref.reload(BIQUADF32::ALLBIQUADREFS_F32_ID,mgr);
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configs.reload(BIQUADF32::ALLBIQUADCONFIGS_S16_ID,mgr);
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#if defined(ARM_MATH_MVEF) && !defined(ARM_MATH_AUTOVECTORIZE)
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/* Max num stages is 47 in Python script */
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vecCoefs.create(32*47,BIQUADF32::OUT_F32_ID,mgr);
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#endif
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break;
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case BIQUADF32::TEST_BIQUAD_CASCADE_DF2T_RAND_4:
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vecCoefs.create(512,BIQUADF32::OUT_F32_ID,mgr);
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inputs.reload(BIQUADF32::ALLBIQUADINPUTS_F32_ID,mgr);
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coefs.reload(BIQUADF32::ALLBIQUADCOEFS_F32_ID,mgr);
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ref.reload(BIQUADF32::ALLBIQUADREFS_F32_ID,mgr);
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configs.reload(BIQUADF32::ALLBIQUADCONFIGS_S16_ID,mgr);
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break;
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case BIQUADF32::TEST_BIQUAD_CASCADE_STEREO_DF2T_RAND_5:
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inputs.reload(BIQUADF32::ALLBIQUADSTEREOINPUTS_F32_ID,mgr);
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coefs.reload(BIQUADF32::ALLBIQUADCOEFS_F32_ID,mgr);
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ref.reload(BIQUADF32::ALLBIQUADSTEREOREFS_F32_ID,mgr);
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configs.reload(BIQUADF32::ALLBIQUADCONFIGS_S16_ID,mgr);
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break;
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}
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output.create(ref.nbSamples(),BIQUADF32::OUT_F32_ID,mgr);
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state.create(128,BIQUADF32::STATE_F32_ID,mgr);
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}
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void BIQUADF32::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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switch(id)
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{
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case BIQUADF32::TEST_BIQUAD_CASCADE_DF1_REF_1:
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debugstate.dump(mgr);
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break;
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}
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}
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