RMUL2025/lib/cmsis_5/CMSIS/DSP/Testing/Source/Tests/InterpolationTestsF16.cpp

203 lines
6.9 KiB
C++
Executable File

#include "InterpolationTestsF16.h"
#include <stdio.h>
#include "Error.h"
#define SNR_THRESHOLD 55
/*
Reference patterns are generated with
a double precision computation.
*/
#define REL_ERROR (5.0e-3)
#define ABS_ERROR (5.0e-3)
void InterpolationTestsF16::test_linear_interp_f16()
{
const float16_t *inp = input.ptr();
float16_t *outp = output.ptr();
unsigned long nb;
for(nb = 0; nb < input.nbSamples(); nb++)
{
outp[nb] = arm_linear_interp_f16(&S,inp[nb]);
}
ASSERT_EMPTY_TAIL(output);
ASSERT_SNR(output,ref,(float16_t)SNR_THRESHOLD);
ASSERT_CLOSE_ERROR(output,ref,ABS_ERROR,REL_ERROR);
}
void InterpolationTestsF16::test_bilinear_interp_f16()
{
const float16_t *inp = input.ptr();
float16_t *outp = output.ptr();
float16_t x,y;
unsigned long nb;
for(nb = 0; nb < input.nbSamples(); nb += 2)
{
x = inp[nb];
y = inp[nb+1];
*outp++=arm_bilinear_interp_f16(&SBI,x,y);
}
ASSERT_EMPTY_TAIL(output);
ASSERT_SNR(output,ref,(float16_t)SNR_THRESHOLD);
ASSERT_CLOSE_ERROR(output,ref,ABS_ERROR,REL_ERROR);
}
#if 0
void InterpolationTestsF16::test_spline_square_f16()
{
const float16_t *inpX = inputX.ptr();
const float16_t *inpY = inputY.ptr();
const float16_t *outX = outputX.ptr();
float16_t *outp = output.ptr();
float16_t *buf = buffer.ptr(); // ((2*4-1)*sizeof(float16_t))
float16_t *coef = splineCoefs.ptr(); // ((3*(4-1))*sizeof(float16_t))
arm_spline_instance_f16 S;
arm_spline_init_f16(&S, ARM_SPLINE_PARABOLIC_RUNOUT, inpX, inpY, 4, coef, buf);
arm_spline_f16(&S, outX, outp, 20);
ASSERT_EMPTY_TAIL(buffer);
ASSERT_EMPTY_TAIL(splineCoefs);
ASSERT_EMPTY_TAIL(output);
ASSERT_SNR(output,ref,(float16_t)SNR_THRESHOLD);
}
void InterpolationTestsF16::test_spline_sine_f16()
{
const float16_t *inpX = inputX.ptr();
const float16_t *inpY = inputY.ptr();
const float16_t *outX = outputX.ptr();
float16_t *outp = output.ptr();
float16_t *buf = buffer.ptr(); // ((2*9-1)*sizeof(float16_t))
float16_t *coef = splineCoefs.ptr(); // ((3*(9-1))*sizeof(float16_t))
arm_spline_instance_f16 S;
arm_spline_init_f16(&S, ARM_SPLINE_NATURAL, inpX, inpY, 9, coef, buf);
arm_spline_f16(&S, outX, outp, 33);
ASSERT_EMPTY_TAIL(buffer);
ASSERT_EMPTY_TAIL(splineCoefs);
ASSERT_EMPTY_TAIL(output);
ASSERT_SNR(output,ref,(float16_t)SNR_THRESHOLD);
}
void InterpolationTestsF16::test_spline_ramp_f16()
{
const float16_t *inpX = inputX.ptr();
const float16_t *inpY = inputY.ptr();
const float16_t *outX = outputX.ptr();
float16_t *outp = output.ptr();
float16_t *buf = buffer.ptr(); // ((2*3-1)*sizeof(float16_t))
float16_t *coef = splineCoefs.ptr(); // ((3*(3-1))*sizeof(float16_t))
arm_spline_instance_f16 S;
arm_spline_init_f16(&S, ARM_SPLINE_PARABOLIC_RUNOUT, inpX, inpY, 3, coef, buf);
arm_spline_f16(&S, outX, outp, 30);
ASSERT_EMPTY_TAIL(buffer);
ASSERT_EMPTY_TAIL(splineCoefs);
ASSERT_EMPTY_TAIL(output);
ASSERT_SNR(output,ref,(float16_t)SNR_THRESHOLD);
}
#endif
void InterpolationTestsF16::setUp(Testing::testID_t id,std::vector<Testing::param_t>& params,Client::PatternMgr *mgr)
{
const int16_t *pConfig;
Testing::nbSamples_t nb=MAX_NB_SAMPLES;
(void)params;
switch(id)
{
case InterpolationTestsF16::TEST_LINEAR_INTERP_F16_1:
input.reload(InterpolationTestsF16::INPUT_F16_ID,mgr,nb);
y.reload(InterpolationTestsF16::YVAL_F16_ID,mgr,nb);
ref.reload(InterpolationTestsF16::REF_LINEAR_F16_ID,mgr,nb);
S.nValues=y.nbSamples(); /**< nValues */
/* Those values must be coherent with the ones in the
Python script generating the patterns */
S.x1=0.0; /**< x1 */
S.xSpacing=1.0; /**< xSpacing */
S.pYData=y.ptr(); /**< pointer to the table of Y values */
break;
case InterpolationTestsF16::TEST_BILINEAR_INTERP_F16_2:
input.reload(InterpolationTestsF16::INPUTBI_F16_ID,mgr,nb);
config.reload(InterpolationTestsF16::CONFIGBI_S16_ID,mgr,nb);
y.reload(InterpolationTestsF16::YVALBI_F16_ID,mgr,nb);
ref.reload(InterpolationTestsF16::REF_BILINEAR_F16_ID,mgr,nb);
pConfig = config.ptr();
SBI.numRows = pConfig[1];
SBI.numCols = pConfig[0];
SBI.pData = y.ptr();
break;
#if 0
case TEST_SPLINE_SQUARE_F16_3:
inputX.reload(InterpolationTestsF16::INPUT_SPLINE_SQU_X_F16_ID,mgr,4);
inputY.reload(InterpolationTestsF16::INPUT_SPLINE_SQU_Y_F16_ID,mgr,4);
outputX.reload(InterpolationTestsF16::OUTPUT_SPLINE_SQU_X_F16_ID,mgr,20);
ref.reload(InterpolationTestsF16::REF_SPLINE_SQU_F16_ID,mgr,20);
splineCoefs.create(3*(4-1),InterpolationTestsF16::COEFS_SPLINE_F16_ID,mgr);
buffer.create(2*4-1,InterpolationTestsF16::TEMP_SPLINE_F16_ID,mgr);
output.create(20,InterpolationTestsF16::OUT_SAMPLES_F16_ID,mgr);
break;
case TEST_SPLINE_SINE_F16_4:
inputX.reload(InterpolationTestsF16::INPUT_SPLINE_SIN_X_F16_ID,mgr,9);
inputY.reload(InterpolationTestsF16::INPUT_SPLINE_SIN_Y_F16_ID,mgr,9);
outputX.reload(InterpolationTestsF16::OUTPUT_SPLINE_SIN_X_F16_ID,mgr,33);
ref.reload(InterpolationTestsF16::REF_SPLINE_SIN_F16_ID,mgr,33);
splineCoefs.create(3*(9-1),InterpolationTestsF16::COEFS_SPLINE_F16_ID,mgr);
buffer.create(2*9-1,InterpolationTestsF16::TEMP_SPLINE_F16_ID,mgr);
output.create(33,InterpolationTestsF16::OUT_SAMPLES_F16_ID,mgr);
break;
case TEST_SPLINE_RAMP_F16_5:
inputX.reload(InterpolationTestsF16::INPUT_SPLINE_RAM_X_F16_ID,mgr,3);
inputY.reload(InterpolationTestsF16::INPUT_SPLINE_RAM_Y_F16_ID,mgr,3);
outputX.reload(InterpolationTestsF16::OUTPUT_SPLINE_RAM_X_F16_ID,mgr,30);
ref.reload(InterpolationTestsF16::REF_SPLINE_RAM_F16_ID,mgr,30);
splineCoefs.create(3*(3-1),InterpolationTestsF16::COEFS_SPLINE_F16_ID,mgr);
buffer.create(2*3-1,InterpolationTestsF16::TEMP_SPLINE_F16_ID,mgr);
output.create(30,InterpolationTestsF16::OUT_SAMPLES_F16_ID,mgr);
break;
#endif
}
output.create(ref.nbSamples(),InterpolationTestsF16::OUT_SAMPLES_F16_ID,mgr);
}
void InterpolationTestsF16::tearDown(Testing::testID_t id,Client::PatternMgr *mgr)
{
(void)id;
output.dump(mgr);
}