157 lines
4.4 KiB
C++
Executable File
157 lines
4.4 KiB
C++
Executable File
#include "BinaryTestsF64.h"
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#include <stdio.h>
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#include "Error.h"
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#define SNR_THRESHOLD 120
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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 (1.0e-6)
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#define ABS_ERROR (1.0e-5)
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/* Upper bound of maximum matrix dimension used by Python */
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#define MAXMATRIXDIM 40
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#define LOADDATA2() \
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const float64_t *inp1=input1.ptr(); \
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const float64_t *inp2=input2.ptr(); \
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\
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float64_t *ap=a.ptr(); \
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float64_t *bp=b.ptr(); \
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\
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float64_t *outp=output.ptr(); \
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int16_t *dimsp = dims.ptr(); \
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int nbMatrixes = dims.nbSamples() / 3;\
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int rows,internal,columns; \
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int i;
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#define PREPAREDATA2() \
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in1.numRows=rows; \
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in1.numCols=internal; \
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memcpy((void*)ap,(const void*)inp1,2*sizeof(float64_t)*rows*internal);\
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in1.pData = ap; \
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\
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in2.numRows=internal; \
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in2.numCols=columns; \
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memcpy((void*)bp,(const void*)inp2,2*sizeof(float64_t)*internal*columns);\
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in2.pData = bp; \
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\
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out.numRows=rows; \
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out.numCols=columns; \
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out.pData = outp;
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void BinaryTestsF64::test_mat_mult_f64()
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{
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LOADDATA2();
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arm_status status;
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for(i=0;i < nbMatrixes ; i ++)
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{
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rows = *dimsp++;
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internal = *dimsp++;
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columns = *dimsp++;
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PREPAREDATA2();
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status=arm_mat_mult_f64(&this->in1,&this->in2,&this->out);
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ASSERT_TRUE(status==ARM_MATH_SUCCESS);
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outp += (rows * columns);
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}
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ASSERT_EMPTY_TAIL(output);
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ASSERT_SNR(output,ref,(float64_t)SNR_THRESHOLD);
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ASSERT_CLOSE_ERROR(output,ref,ABS_ERROR,REL_ERROR);
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}
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#if 0
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void BinaryTestsF64::test_mat_cmplx_mult_f64()
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{
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LOADDATA2();
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for(i=0;i < nbMatrixes ; i ++)
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{
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rows = *dimsp++;
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internal = *dimsp++;
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columns = *dimsp++;
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PREPAREDATA2();
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arm_mat_cmplx_mult_f64(&this->in1,&this->in2,&this->out);
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outp += (2*rows * columns);
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}
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ASSERT_EMPTY_TAIL(output);
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ASSERT_SNR(output,ref,(float64_t)SNR_THRESHOLD);
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ASSERT_CLOSE_ERROR(output,ref,ABS_ERROR,REL_ERROR);
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}
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#endif
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void BinaryTestsF64::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 TEST_MAT_MULT_F64_1:
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input1.reload(BinaryTestsF64::INPUTS1_F64_ID,mgr);
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input2.reload(BinaryTestsF64::INPUTS2_F64_ID,mgr);
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dims.reload(BinaryTestsF64::DIMSBINARY1_S16_ID,mgr);
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ref.reload(BinaryTestsF64::REFMUL1_F64_ID,mgr);
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output.create(ref.nbSamples(),BinaryTestsF64::OUT_F64_ID,mgr);
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a.create(MAXMATRIXDIM*MAXMATRIXDIM,BinaryTestsF64::TMPA_F64_ID,mgr);
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b.create(MAXMATRIXDIM*MAXMATRIXDIM,BinaryTestsF64::TMPB_F64_ID,mgr);
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break;
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#if 0
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case TEST_MAT_CMPLX_MULT_F64_2:
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input1.reload(BinaryTestsF64::INPUTSC1_F64_ID,mgr);
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input2.reload(BinaryTestsF64::INPUTSC2_F64_ID,mgr);
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dims.reload(BinaryTestsF64::DIMSBINARY1_S16_ID,mgr);
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ref.reload(BinaryTestsF64::REFCMPLXMUL1_F64_ID,mgr);
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output.create(ref.nbSamples(),BinaryTestsF64::OUT_F64_ID,mgr);
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a.create(2*MAXMATRIXDIM*MAXMATRIXDIM,BinaryTestsF64::TMPA_F64_ID,mgr);
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b.create(2*MAXMATRIXDIM*MAXMATRIXDIM,BinaryTestsF64::TMPB_F64_ID,mgr);
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break;
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#endif
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}
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}
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void BinaryTestsF64::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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