#include "UnaryTestsQ7.h" #include #include "Error.h" #define SNR_THRESHOLD 20 #define SNR_LOW_THRESHOLD 11 /* Reference patterns are generated with a double precision computation. */ #define ABS_ERROR_Q7 ((q7_t)2) #define ABS_ERROR_Q63 ((q63_t)(1<<16)) #define ONEHALF 0x4000 /* Upper bound of maximum matrix dimension used by Python */ #define MAXMATRIXDIM 47 static void checkInnerTail(q7_t *b) { ASSERT_TRUE(b[0] == 0); ASSERT_TRUE(b[1] == 0); ASSERT_TRUE(b[2] == 0); ASSERT_TRUE(b[3] == 0); ASSERT_TRUE(b[4] == 0); ASSERT_TRUE(b[5] == 0); ASSERT_TRUE(b[6] == 0); ASSERT_TRUE(b[7] == 0); ASSERT_TRUE(b[8] == 0); ASSERT_TRUE(b[9] == 0); ASSERT_TRUE(b[10] == 0); ASSERT_TRUE(b[11] == 0); ASSERT_TRUE(b[12] == 0); ASSERT_TRUE(b[13] == 0); ASSERT_TRUE(b[14] == 0); ASSERT_TRUE(b[15] == 0); } #define LOADDATA2() \ const q7_t *inp1=input1.ptr(); \ const q7_t *inp2=input2.ptr(); \ \ q7_t *ap=a.ptr(); \ q7_t *bp=b.ptr(); \ \ q7_t *outp=output.ptr(); \ int16_t *dimsp = dims.ptr(); \ int nbMatrixes = dims.nbSamples() >> 1;\ int rows,columns; \ int i; #define LOADDATA1() \ const q7_t *inp1=input1.ptr(); \ \ q7_t *ap=a.ptr(); \ \ q7_t *outp=output.ptr(); \ int16_t *dimsp = dims.ptr(); \ int nbMatrixes = dims.nbSamples() >> 1;\ int rows,columns; \ int i; #define PREPAREDATA2() \ in1.numRows=rows; \ in1.numCols=columns; \ memcpy((void*)ap,(const void*)inp1,sizeof(q7_t)*rows*columns);\ in1.pData = ap; \ \ in2.numRows=rows; \ in2.numCols=columns; \ memcpy((void*)bp,(const void*)inp2,sizeof(q7_t)*rows*columns);\ in2.pData = bp; \ \ out.numRows=rows; \ out.numCols=columns; \ out.pData = outp; #define PREPAREDATA1(TRANSPOSED) \ in1.numRows=rows; \ in1.numCols=columns; \ memcpy((void*)ap,(const void*)inp1,sizeof(q7_t)*rows*columns);\ in1.pData = ap; \ \ if (TRANSPOSED) \ { \ out.numRows=columns; \ out.numCols=rows; \ } \ else \ { \ out.numRows=rows; \ out.numCols=columns; \ } \ out.pData = outp; #define LOADVECDATA2() \ const q7_t *inp1=input1.ptr(); \ const q7_t *inp2=input2.ptr(); \ \ q7_t *ap=a.ptr(); \ q7_t *bp=b.ptr(); \ \ q7_t *outp=output.ptr(); \ int16_t *dimsp = dims.ptr(); \ int nbMatrixes = dims.nbSamples() / 2;\ int rows,internal; \ int i; #define PREPAREVECDATA2() \ in1.numRows=rows; \ in1.numCols=internal; \ memcpy((void*)ap,(const void*)inp1,sizeof(q7_t)*rows*internal);\ in1.pData = ap; \ \ memcpy((void*)bp,(const void*)inp2,sizeof(q7_t)*internal); void UnaryTestsQ7::test_mat_vec_mult_q7() { LOADVECDATA2(); for(i=0;i < nbMatrixes ; i ++) { rows = *dimsp++; internal = *dimsp++; PREPAREVECDATA2(); arm_mat_vec_mult_q7(&this->in1, bp, outp); outp += rows ; checkInnerTail(outp); } ASSERT_EMPTY_TAIL(output); ASSERT_SNR(output,ref,(q7_t)SNR_LOW_THRESHOLD); ASSERT_NEAR_EQ(output,ref,ABS_ERROR_Q7); } void UnaryTestsQ7::test_mat_trans_q7() { LOADDATA1(); arm_status status; for(i=0;i < nbMatrixes ; i ++) { rows = *dimsp++; columns = *dimsp++; PREPAREDATA1(true); status=arm_mat_trans_q7(&this->in1,&this->out); ASSERT_TRUE(status==ARM_MATH_SUCCESS); outp += (rows * columns); checkInnerTail(outp); } ASSERT_EMPTY_TAIL(output); ASSERT_SNR(output,ref,(q7_t)SNR_THRESHOLD); ASSERT_NEAR_EQ(output,ref,ABS_ERROR_Q7); } void UnaryTestsQ7::setUp(Testing::testID_t id,std::vector& params,Client::PatternMgr *mgr) { (void)params; switch(id) { case TEST_MAT_TRANS_Q7_1: input1.reload(UnaryTestsQ7::INPUTS1_Q7_ID,mgr); dims.reload(UnaryTestsQ7::DIMSUNARY1_S16_ID,mgr); ref.reload(UnaryTestsQ7::REFTRANS1_Q7_ID,mgr); output.create(ref.nbSamples(),UnaryTestsQ7::OUT_Q7_ID,mgr); a.create(MAXMATRIXDIM*MAXMATRIXDIM,UnaryTestsQ7::TMPA_Q7_ID,mgr); break; case TEST_MAT_VEC_MULT_Q7_2: input1.reload(UnaryTestsQ7::INPUTS1_Q7_ID,mgr); input2.reload(UnaryTestsQ7::INPUTVEC1_Q7_ID,mgr); dims.reload(UnaryTestsQ7::DIMSUNARY1_S16_ID,mgr); ref.reload(UnaryTestsQ7::REFVECMUL1_Q7_ID,mgr); output.create(ref.nbSamples(),UnaryTestsQ7::OUT_Q7_ID,mgr); a.create(MAXMATRIXDIM*MAXMATRIXDIM,UnaryTestsQ7::TMPA_Q7_ID,mgr); b.create(MAXMATRIXDIM,UnaryTestsQ7::TMPB_Q7_ID,mgr); break; } } void UnaryTestsQ7::tearDown(Testing::testID_t id,Client::PatternMgr *mgr) { (void)id; output.dump(mgr); }