| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156 |
- #include "BinaryTestsF16.h"
- #include <stdio.h>
- #include "Error.h"
- #define SNR_THRESHOLD 60
- /*
- Reference patterns are generated with
- a double precision computation.
- */
- #define REL_ERROR (2.0e-3)
- #define ABS_ERROR (2.0e-3)
- /* Upper bound of maximum matrix dimension used by Python */
- #define MAXMATRIXDIM 40
- #define LOADDATA2() \
- const float16_t *inp1=input1.ptr(); \
- const float16_t *inp2=input2.ptr(); \
- \
- float16_t *ap=a.ptr(); \
- float16_t *bp=b.ptr(); \
- \
- float16_t *outp=output.ptr(); \
- int16_t *dimsp = dims.ptr(); \
- int nbMatrixes = dims.nbSamples() / 3;\
- int rows,internal,columns; \
- int i;
- #define PREPAREDATA2() \
- in1.numRows=rows; \
- in1.numCols=internal; \
- memcpy((void*)ap,(const void*)inp1,2*sizeof(float16_t)*rows*internal);\
- in1.pData = ap; \
- \
- in2.numRows=internal; \
- in2.numCols=columns; \
- memcpy((void*)bp,(const void*)inp2,2*sizeof(float16_t)*internal*columns);\
- in2.pData = bp; \
- \
- out.numRows=rows; \
- out.numCols=columns; \
- out.pData = outp;
-
- void BinaryTestsF16::test_mat_mult_f16()
- {
- LOADDATA2();
- arm_status status;
- for(i=0;i < nbMatrixes ; i ++)
- {
- rows = *dimsp++;
- internal = *dimsp++;
- columns = *dimsp++;
- PREPAREDATA2();
- status=arm_mat_mult_f16(&this->in1,&this->in2,&this->out);
- ASSERT_TRUE(status==ARM_MATH_SUCCESS);
- outp += (rows * columns);
- }
- ASSERT_EMPTY_TAIL(output);
- ASSERT_SNR(output,ref,(float16_t)SNR_THRESHOLD);
- ASSERT_CLOSE_ERROR(output,ref,ABS_ERROR,REL_ERROR);
- }
- void BinaryTestsF16::test_mat_cmplx_mult_f16()
- {
- LOADDATA2();
- arm_status status;
- for(i=0;i < nbMatrixes ; i ++)
- {
- rows = *dimsp++;
- internal = *dimsp++;
- columns = *dimsp++;
- PREPAREDATA2();
- status=arm_mat_cmplx_mult_f16(&this->in1,&this->in2,&this->out);
- ASSERT_TRUE(status==ARM_MATH_SUCCESS);
- outp += (2*rows * columns);
- }
- ASSERT_EMPTY_TAIL(output);
- ASSERT_SNR(output,ref,(float16_t)SNR_THRESHOLD);
- ASSERT_CLOSE_ERROR(output,ref,ABS_ERROR,REL_ERROR);
- }
- void BinaryTestsF16::setUp(Testing::testID_t id,std::vector<Testing::param_t>& params,Client::PatternMgr *mgr)
- {
- (void)params;
- switch(id)
- {
- case TEST_MAT_MULT_F16_1:
- input1.reload(BinaryTestsF16::INPUTS1_F16_ID,mgr);
- input2.reload(BinaryTestsF16::INPUTS2_F16_ID,mgr);
- dims.reload(BinaryTestsF16::DIMSBINARY1_S16_ID,mgr);
- ref.reload(BinaryTestsF16::REFMUL1_F16_ID,mgr);
- output.create(ref.nbSamples(),BinaryTestsF16::OUT_F16_ID,mgr);
- a.create(MAXMATRIXDIM*MAXMATRIXDIM,BinaryTestsF16::TMPA_F16_ID,mgr);
- b.create(MAXMATRIXDIM*MAXMATRIXDIM,BinaryTestsF16::TMPB_F16_ID,mgr);
- break;
- case TEST_MAT_CMPLX_MULT_F16_2:
- input1.reload(BinaryTestsF16::INPUTSC1_F16_ID,mgr);
- input2.reload(BinaryTestsF16::INPUTSC2_F16_ID,mgr);
- dims.reload(BinaryTestsF16::DIMSBINARY1_S16_ID,mgr);
- ref.reload(BinaryTestsF16::REFCMPLXMUL1_F16_ID,mgr);
- output.create(ref.nbSamples(),BinaryTestsF16::OUT_F16_ID,mgr);
- a.create(2*MAXMATRIXDIM*MAXMATRIXDIM,BinaryTestsF16::TMPA_F16_ID,mgr);
- b.create(2*MAXMATRIXDIM*MAXMATRIXDIM,BinaryTestsF16::TMPB_F16_ID,mgr);
- break;
-
-
- }
-
-
- }
- void BinaryTestsF16::tearDown(Testing::testID_t id,Client::PatternMgr *mgr)
- {
- (void)id;
- output.dump(mgr);
- }
|