| 12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576777879808182838485868788899091929394959697989910010110210310410510610710810911011111211311411511611711811912012112212312412512612712812913013113213313413513613713813914014114214314414514614714814915015115215315415515615715815916016116216316416516616716816917017117217317417517617717817918018118218318418518618718818919019119219319419519619719819920020120220320420520620720820921021121221321421521621721821922022122222322422522622722822923023123223323423523623723823924024124224324424524624724824925025125225325425525625725825926026126226326426526626726826927027127227327427527627727827928028128228328428528628728828929029129229329429529629729829930030130230330430530630730830931031131231331431531631731831932032132232332432532632732832933033133233333433533633733833934034134234334434534634734834935035135235335435535635735835936036136236336436536636736836937037137237337437537637737837938038138238338438538638738838939039139239339439539639739839940040140240340440540640740840941041141241341441541641741841942042142242342442542642742842943043143243343443543643743843944044144244344444544644744844945045145245345445545645745845946046146246346446546646746846947047147247347447547647747847948048148248348448548648748848949049149249349449549649749849950050150250350450550650750850951051151251351451551651751851952052152252352452552652752852953053153253353453553653753853954054154254354454554654754854955055155255355455555655755855956056156256356456556656756856957057157257357457557657757857958058158258358458558658758858959059159259359459559659759859960060160260360460560660760860961061161261361461561661761861962062162262362462562662762862963063163263363463563663763863964064164264364464564664764864965065165265365465565665765865966066166266366466566666766866967067167267367467567667767867968068168268368468568668768868969069169269369469569669769869970070170270370470570670770870971071171271371471571671771871972072172272372472572672772872973073173273373473573673773873974074174274374474574674774874975075175275375475575675775875976076176276376476576676776876977077177277377477577677777877978078178278378478578678778878979079179279379479579679779879980080180280380480580680780880981081181281381481581681781881982082182282382482582682782882983083183283383483583683783883984084184284384484584684784884985085185285385485585685785885986086186286386486586686786886987087187287387487587687787887988088188288388488588688788888989089189289389489589689789889990090190290390490590690790890991091191291391491591691791891992092192292392492592692792892993093193293393493593693793893994094194294394494594694794894995095195295395495595695795895996096196296396496596696796896997097197297397497597697797897998098198298398498598698798898999099199299399499599699799899910001001100210031004100510061007100810091010101110121013101410151016101710181019102010211022102310241025102610271028102910301031103210331034103510361037103810391040104110421043104410451046104710481049105010511052105310541055105610571058105910601061106210631064106510661067106810691070107110721073107410751076107710781079108010811082108310841085108610871088108910901091109210931094109510961097109810991100110111021103110411051106110711081109111011111112111311141115111611171118111911201121112211231124112511261127112811291130 |
- #include "StatsTestsF16.h"
- #include <stdio.h>
- #include "Error.h"
- #include "Test.h"
- #define SNR_THRESHOLD 48
- #define SNR_KULLBACK_THRESHOLD 40
- /*
- Reference patterns are generated with
- a double precision computation.
- */
- #define REL_ERROR (6.0e-3)
- #define REL_KULLBACK_ERROR (5.0e-3)
- #define ABS_KULLBACK_ERROR (5.0e-3)
- void StatsTestsF16::test_max_f16()
- {
- const float16_t *inp = inputA.ptr();
- float16_t result;
- uint32_t indexval;
- float16_t *refp = ref.ptr();
- int16_t *refind = maxIndexes.ptr();
- float16_t *outp = output.ptr();
- int16_t *ind = index.ptr();
- arm_max_f16(inp,
- inputA.nbSamples(),
- &result,
- &indexval);
- outp[0] = result;
- ind[0] = indexval;
- ASSERT_EQ(result,refp[this->refOffset]);
- ASSERT_EQ((int16_t)indexval,refind[this->refOffset]);
- }
- void StatsTestsF16::test_absmax_f16()
- {
- const float16_t *inp = inputA.ptr();
- float16_t result;
- uint32_t indexval;
- float16_t *refp = ref.ptr();
- int16_t *refind = maxIndexes.ptr();
- float16_t *outp = output.ptr();
- int16_t *ind = index.ptr();
- arm_absmax_f16(inp,
- inputA.nbSamples(),
- &result,
- &indexval);
- outp[0] = result;
- ind[0] = indexval;
- ASSERT_EQ(result,refp[this->refOffset]);
- ASSERT_EQ((int16_t)indexval,refind[this->refOffset]);
- }
- void StatsTestsF16::test_max_no_idx_f16()
- {
- const float16_t *inp = inputA.ptr();
- float16_t result;
- float16_t *refp = ref.ptr();
- float16_t *outp = output.ptr();
- arm_max_no_idx_f16(inp,
- inputA.nbSamples(),
- &result);
- outp[0] = result;
- ASSERT_EQ(result,refp[this->refOffset]);
- }
- void StatsTestsF16::test_absmax_no_idx_f16()
- {
- const float16_t *inp = inputA.ptr();
- float16_t result;
- float16_t *refp = ref.ptr();
- float16_t *outp = output.ptr();
- arm_absmax_no_idx_f16(inp,
- inputA.nbSamples(),
- &result);
- outp[0] = result;
- ASSERT_EQ(result,refp[this->refOffset]);
- }
- void StatsTestsF16::test_min_no_idx_f16()
- {
- const float16_t *inp = inputA.ptr();
- float16_t result;
- float16_t *refp = ref.ptr();
- float16_t *outp = output.ptr();
- arm_min_no_idx_f16(inp,
- inputA.nbSamples(),
- &result);
- outp[0] = result;
- ASSERT_EQ(result,refp[this->refOffset]);
- }
- void StatsTestsF16::test_absmin_no_idx_f16()
- {
- const float16_t *inp = inputA.ptr();
- float16_t result;
- float16_t *refp = ref.ptr();
- float16_t *outp = output.ptr();
- arm_absmin_no_idx_f16(inp,
- inputA.nbSamples(),
- &result);
- outp[0] = result;
- ASSERT_EQ(result,refp[this->refOffset]);
- }
- void StatsTestsF16::test_min_f16()
- {
- const float16_t *inp = inputA.ptr();
- float16_t result;
- uint32_t indexval;
- float16_t *refp = ref.ptr();
- int16_t *refind = minIndexes.ptr();
- float16_t *outp = output.ptr();
- int16_t *ind = index.ptr();
- arm_min_f16(inp,
- inputA.nbSamples(),
- &result,
- &indexval);
- outp[0] = result;
- ind[0] = indexval;
- ASSERT_EQ(result,refp[this->refOffset]);
- ASSERT_EQ((int16_t)indexval,refind[this->refOffset]);
- }
- void StatsTestsF16::test_absmin_f16()
- {
- const float16_t *inp = inputA.ptr();
- float16_t result;
- uint32_t indexval;
- float16_t *refp = ref.ptr();
- int16_t *refind = minIndexes.ptr();
- float16_t *outp = output.ptr();
- int16_t *ind = index.ptr();
- arm_absmin_f16(inp,
- inputA.nbSamples(),
- &result,
- &indexval);
- outp[0] = result;
- ind[0] = indexval;
- ASSERT_EQ(result,refp[this->refOffset]);
- ASSERT_EQ((int16_t)indexval,refind[this->refOffset]);
- }
- void StatsTestsF16::test_mean_f16()
- {
- const float16_t *inp = inputA.ptr();
- float16_t result;
- float16_t *refp = ref.ptr();
- float16_t *outp = output.ptr();
- arm_mean_f16(inp,
- inputA.nbSamples(),
- &result);
- outp[0] = result;
- ASSERT_SNR(result,refp[this->refOffset],(float16_t)SNR_THRESHOLD);
- ASSERT_REL_ERROR(result,refp[this->refOffset],REL_ERROR);
- }
- void StatsTestsF16::test_power_f16()
- {
- const float16_t *inp = inputA.ptr();
- float16_t result;
- float16_t *refp = ref.ptr();
- float16_t *outp = output.ptr();
- arm_power_f16(inp,
- inputA.nbSamples(),
- &result);
- outp[0] = result;
- ASSERT_SNR(result,refp[this->refOffset],(float16_t)SNR_THRESHOLD);
- ASSERT_REL_ERROR(result,refp[this->refOffset],REL_ERROR);
- }
- void StatsTestsF16::test_rms_f16()
- {
- const float16_t *inp = inputA.ptr();
- float16_t result;
- float16_t *refp = ref.ptr();
- float16_t *outp = output.ptr();
- arm_rms_f16(inp,
- inputA.nbSamples(),
- &result);
- outp[0] = result;
- ASSERT_SNR(result,refp[this->refOffset],(float16_t)SNR_THRESHOLD);
- ASSERT_REL_ERROR(result,refp[this->refOffset],REL_ERROR);
- }
- void StatsTestsF16::test_std_f16()
- {
- const float16_t *inp = inputA.ptr();
- float16_t result;
- float16_t *refp = ref.ptr();
- float16_t *outp = output.ptr();
- arm_std_f16(inp,
- inputA.nbSamples(),
- &result);
- outp[0] = result;
- ASSERT_SNR(result,refp[this->refOffset],(float16_t)SNR_THRESHOLD);
- ASSERT_REL_ERROR(result,refp[this->refOffset],REL_ERROR);
- }
- void StatsTestsF16::test_var_f16()
- {
- const float16_t *inp = inputA.ptr();
- float16_t result;
- float16_t *refp = ref.ptr();
- float16_t *outp = output.ptr();
- arm_var_f16(inp,
- inputA.nbSamples(),
- &result);
- outp[0] = result;
- ASSERT_SNR(result,refp[this->refOffset],(float16_t)SNR_THRESHOLD);
- ASSERT_REL_ERROR(result,refp[this->refOffset],REL_ERROR);
- }
- void StatsTestsF16::test_std_stability_f16()
- {
- /*
- With the textbook algorithm, those values will produce a negative
- value for the variance.
- The CMSIS-DSP variance algorithm is the two pass one so will work
- with those values.
- So, it should be possible to compute the square root for the standard
- deviation.
- */
- float16_t in[4]={4.0f, 7.0f, 13.0f, 16.0f};
- float16_t result;
- int i;
- /*
- Add bigger offset so that average is much bigger than standard deviation.
- */
- for(i=0 ; i < 4; i++)
- {
- in[i] += 3.0e3f;
- }
- arm_std_f16(in,4,&result);
- /*
- If variance is giving a negative value, the square root
- should return zero.
- We check it is not happening here.
- */
- ASSERT_TRUE(fabs(5.47723f - result) < 0.32f);
- }
- void StatsTestsF16::test_entropy_f16()
- {
- const float16_t *inp = inputA.ptr();
- const int16_t *dimsp = dims.ptr();
- float16_t *outp = output.ptr();
- for(int i=0;i < this->nbPatterns; i++)
- {
- *outp = arm_entropy_f16(inp,dimsp[i+1]);
- outp++;
- inp += dimsp[i+1];
- }
- ASSERT_SNR(ref,output,(float16_t)SNR_THRESHOLD);
- ASSERT_REL_ERROR(ref,output,REL_ERROR);
- }
- void StatsTestsF16::test_logsumexp_f16()
- {
- const float16_t *inp = inputA.ptr();
- const int16_t *dimsp = dims.ptr();
- float16_t *outp = output.ptr();
- for(int i=0;i < this->nbPatterns; i++)
- {
- *outp = arm_logsumexp_f16(inp,dimsp[i+1]);
- outp++;
- inp += dimsp[i+1];
- }
- ASSERT_SNR(ref,output,(float16_t)SNR_THRESHOLD);
- ASSERT_REL_ERROR(ref,output,REL_ERROR);
- }
- void StatsTestsF16::test_kullback_leibler_f16()
- {
- const float16_t *inpA = inputA.ptr();
- const float16_t *inpB = inputB.ptr();
- const int16_t *dimsp = dims.ptr();
- float16_t *outp = output.ptr();
- for(int i=0;i < this->nbPatterns; i++)
- {
- *outp = arm_kullback_leibler_f16(inpA,inpB,dimsp[i+1]);
- outp++;
- inpA += dimsp[i+1];
- inpB += dimsp[i+1];
- }
- ASSERT_SNR(ref,output,(float16_t)SNR_KULLBACK_THRESHOLD);
- ASSERT_CLOSE_ERROR(ref,output,ABS_KULLBACK_ERROR,REL_KULLBACK_ERROR);
- }
- void StatsTestsF16::test_logsumexp_dot_prod_f16()
- {
- const float16_t *inpA = inputA.ptr();
- const float16_t *inpB = inputB.ptr();
- const int16_t *dimsp = dims.ptr();
- float16_t *outp = output.ptr();
- float16_t *tmpp = tmp.ptr();
- for(int i=0;i < this->nbPatterns; i++)
- {
- *outp = arm_logsumexp_dot_prod_f16(inpA,inpB,dimsp[i+1],tmpp);
- outp++;
- inpA += dimsp[i+1];
- inpB += dimsp[i+1];
- }
- ASSERT_SNR(ref,output,(float16_t)SNR_THRESHOLD);
- ASSERT_REL_ERROR(ref,output,REL_ERROR);
- }
- void StatsTestsF16::test_mse_f16()
- {
- const float16_t *inpA = inputA.ptr();
- const float16_t *inpB = inputB.ptr();
- float16_t result;
- float16_t *refp = ref.ptr();
- float16_t *outp = output.ptr();
- arm_mse_f16(inpA,inpB,
- inputA.nbSamples(),
- &result);
- outp[0] = result;
- ASSERT_SNR(result,refp[this->refOffset],(float16_t)SNR_THRESHOLD);
- ASSERT_REL_ERROR(result,refp[this->refOffset],(float16_t)REL_ERROR);
- }
-
- void StatsTestsF16::setUp(Testing::testID_t id,std::vector<Testing::param_t>& paramsArgs,Client::PatternMgr *mgr)
- {
- (void)paramsArgs;
- switch(id)
- {
- case StatsTestsF16::TEST_MAX_F16_1:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,7);
-
- maxIndexes.reload(StatsTestsF16::MAXINDEXES_S16_ID,mgr);
- ref.reload(StatsTestsF16::MAXVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- index.create(1,StatsTestsF16::OUT_S16_ID,mgr);
- refOffset = 0;
- }
- break;
- case StatsTestsF16::TEST_MAX_F16_2:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,16);
-
- maxIndexes.reload(StatsTestsF16::MAXINDEXES_S16_ID,mgr);
- ref.reload(StatsTestsF16::MAXVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- index.create(1,StatsTestsF16::OUT_S16_ID,mgr);
- refOffset = 1;
- }
- break;
- case StatsTestsF16::TEST_MAX_F16_3:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,23);
-
- maxIndexes.reload(StatsTestsF16::MAXINDEXES_S16_ID,mgr);
- ref.reload(StatsTestsF16::MAXVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- index.create(1,StatsTestsF16::OUT_S16_ID,mgr);
- refOffset = 2;
- }
- break;
- case StatsTestsF16::TEST_MEAN_F16_4:
- {
- inputA.reload(StatsTestsF16::INPUT2_F16_ID,mgr,7);
-
- ref.reload(StatsTestsF16::MEANVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 0;
- }
- break;
- case StatsTestsF16::TEST_MEAN_F16_5:
- {
- inputA.reload(StatsTestsF16::INPUT2_F16_ID,mgr,16);
-
- ref.reload(StatsTestsF16::MEANVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 1;
- }
- break;
- case StatsTestsF16::TEST_MEAN_F16_6:
- {
- inputA.reload(StatsTestsF16::INPUT2_F16_ID,mgr,23);
-
- ref.reload(StatsTestsF16::MEANVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 2;
- }
- break;
- case StatsTestsF16::TEST_MIN_F16_7:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,7);
-
- minIndexes.reload(StatsTestsF16::MININDEXES_S16_ID,mgr);
- ref.reload(StatsTestsF16::MINVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- index.create(1,StatsTestsF16::OUT_S16_ID,mgr);
- refOffset = 0;
- }
- break;
- case StatsTestsF16::TEST_MIN_F16_8:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,16);
-
- minIndexes.reload(StatsTestsF16::MININDEXES_S16_ID,mgr);
- ref.reload(StatsTestsF16::MINVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- index.create(1,StatsTestsF16::OUT_S16_ID,mgr);
- refOffset = 1;
- }
- break;
- case StatsTestsF16::TEST_MIN_F16_9:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,23);
-
- minIndexes.reload(StatsTestsF16::MININDEXES_S16_ID,mgr);
- ref.reload(StatsTestsF16::MINVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- index.create(1,StatsTestsF16::OUT_S16_ID,mgr);
- refOffset = 2;
- }
- break;
- case StatsTestsF16::TEST_POWER_F16_10:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,7);
-
- ref.reload(StatsTestsF16::POWERVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 0;
- }
- break;
- case StatsTestsF16::TEST_POWER_F16_11:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,16);
-
- ref.reload(StatsTestsF16::POWERVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 1;
- }
- break;
- case StatsTestsF16::TEST_POWER_F16_12:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,23);
-
- ref.reload(StatsTestsF16::POWERVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 2;
- }
- break;
- case StatsTestsF16::TEST_RMS_F16_13:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,7);
-
- ref.reload(StatsTestsF16::RMSVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 0;
- }
- break;
- case StatsTestsF16::TEST_RMS_F16_14:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,16);
-
- ref.reload(StatsTestsF16::RMSVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 1;
- }
- break;
- case StatsTestsF16::TEST_RMS_F16_15:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,23);
-
- ref.reload(StatsTestsF16::RMSVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 2;
- }
- break;
- case StatsTestsF16::TEST_STD_F16_16:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,7);
-
- ref.reload(StatsTestsF16::STDVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 0;
- }
- break;
- case StatsTestsF16::TEST_STD_F16_17:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,16);
-
- ref.reload(StatsTestsF16::STDVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 1;
- }
- break;
- case StatsTestsF16::TEST_STD_F16_18:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,23);
-
- ref.reload(StatsTestsF16::STDVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 2;
- }
- break;
- case StatsTestsF16::TEST_VAR_F16_19:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,7);
-
- ref.reload(StatsTestsF16::VARVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 0;
- }
- break;
- case StatsTestsF16::TEST_VAR_F16_20:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,16);
-
- ref.reload(StatsTestsF16::VARVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 1;
- }
- break;
- case StatsTestsF16::TEST_VAR_F16_21:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,23);
-
- ref.reload(StatsTestsF16::VARVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 2;
- }
- break;
- case StatsTestsF16::TEST_ENTROPY_F16_22:
- {
- inputA.reload(StatsTestsF16::INPUT22_F16_ID,mgr);
- dims.reload(StatsTestsF16::DIM22_S16_ID,mgr);
- ref.reload(StatsTestsF16::REF22_ENTROPY_F16_ID,mgr);
- output.create(ref.nbSamples(),StatsTestsF16::OUT_F16_ID,mgr);
- const int16_t *dimsp = dims.ptr();
- this->nbPatterns=dimsp[0];
- }
- break;
- case StatsTestsF16::TEST_LOGSUMEXP_F16_23:
- {
- inputA.reload(StatsTestsF16::INPUT23_F16_ID,mgr);
- dims.reload(StatsTestsF16::DIM23_S16_ID,mgr);
- ref.reload(StatsTestsF16::REF23_LOGSUMEXP_F16_ID,mgr);
- output.create(ref.nbSamples(),StatsTestsF16::OUT_F16_ID,mgr);
- const int16_t *dimsp = dims.ptr();
- this->nbPatterns=dimsp[0];
- }
- break;
- case StatsTestsF16::TEST_KULLBACK_LEIBLER_F16_24:
- {
- inputA.reload(StatsTestsF16::INPUTA24_F16_ID,mgr);
- inputB.reload(StatsTestsF16::INPUTB24_F16_ID,mgr);
- dims.reload(StatsTestsF16::DIM24_S16_ID,mgr);
- ref.reload(StatsTestsF16::REF24_KL_F16_ID,mgr);
- output.create(ref.nbSamples(),StatsTestsF16::OUT_F16_ID,mgr);
- const int16_t *dimsp = dims.ptr();
- this->nbPatterns=dimsp[0];
- }
- break;
- case StatsTestsF16::TEST_LOGSUMEXP_DOT_PROD_F16_25:
- {
- inputA.reload(StatsTestsF16::INPUTA25_F16_ID,mgr);
- inputB.reload(StatsTestsF16::INPUTB25_F16_ID,mgr);
- dims.reload(StatsTestsF16::DIM25_S16_ID,mgr);
- ref.reload(StatsTestsF16::REF25_LOGSUMEXP_DOT_F16_ID,mgr);
- output.create(ref.nbSamples(),StatsTestsF16::OUT_F16_ID,mgr);
- const int16_t *dimsp = dims.ptr();
- this->nbPatterns=dimsp[0];
- /* 12 is max vecDim as defined in Python script generating the data */
- tmp.create(12,StatsTestsF16::TMP_F16_ID,mgr);
- }
- break;
- case StatsTestsF16::TEST_MAX_NO_IDX_F16_26:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,7);
-
- ref.reload(StatsTestsF16::MAXVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 0;
- }
- break;
- case StatsTestsF16::TEST_MAX_NO_IDX_F16_27:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,8);
-
- ref.reload(StatsTestsF16::MAXVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 1;
- }
- break;
- case StatsTestsF16::TEST_MAX_NO_IDX_F16_28:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,11);
-
- ref.reload(StatsTestsF16::MAXVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 2;
- }
- break;
- case TEST_MEAN_F16_29:
- inputA.reload(StatsTestsF16::INPUT2_F16_ID,mgr,100);
-
- ref.reload(StatsTestsF16::MEANVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 3;
- break;
- case TEST_RMS_F16_30:
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,100);
-
- ref.reload(StatsTestsF16::RMSVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 3;
- break;
- case TEST_STD_F16_31:
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,100);
-
- ref.reload(StatsTestsF16::STDVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 3;
- break;
- case TEST_VAR_F16_32:
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,100);
-
- ref.reload(StatsTestsF16::VARVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 3;
- break;
- case StatsTestsF16::TEST_ABSMAX_F16_34:
- {
- inputA.reload(StatsTestsF16::INPUTNEW1_F16_ID,mgr,7);
-
- maxIndexes.reload(StatsTestsF16::ABSMAXINDEXES_S16_ID,mgr);
- ref.reload(StatsTestsF16::ABSMAXVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- index.create(1,StatsTestsF16::OUT_S16_ID,mgr);
- refOffset = 0;
- }
- break;
- case StatsTestsF16::TEST_ABSMAX_F16_35:
- {
- inputA.reload(StatsTestsF16::INPUTNEW1_F16_ID,mgr,16);
-
- maxIndexes.reload(StatsTestsF16::ABSMAXINDEXES_S16_ID,mgr);
- ref.reload(StatsTestsF16::ABSMAXVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- index.create(1,StatsTestsF16::OUT_S16_ID,mgr);
- refOffset = 1;
- }
- break;
- case StatsTestsF16::TEST_ABSMAX_F16_36:
- {
- inputA.reload(StatsTestsF16::INPUTNEW1_F16_ID,mgr,23);
-
- maxIndexes.reload(StatsTestsF16::ABSMAXINDEXES_S16_ID,mgr);
- ref.reload(StatsTestsF16::ABSMAXVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- index.create(1,StatsTestsF16::OUT_S16_ID,mgr);
- refOffset = 2;
- }
- break;
- case StatsTestsF16::TEST_ABSMIN_F16_37:
- {
- inputA.reload(StatsTestsF16::INPUTNEW1_F16_ID,mgr,7);
-
- minIndexes.reload(StatsTestsF16::ABSMININDEXES_S16_ID,mgr);
- ref.reload(StatsTestsF16::ABSMINVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- index.create(1,StatsTestsF16::OUT_S16_ID,mgr);
- refOffset = 0;
- }
- break;
- case StatsTestsF16::TEST_ABSMIN_F16_38:
- {
- inputA.reload(StatsTestsF16::INPUTNEW1_F16_ID,mgr,16);
-
- minIndexes.reload(StatsTestsF16::ABSMININDEXES_S16_ID,mgr);
- ref.reload(StatsTestsF16::ABSMINVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- index.create(1,StatsTestsF16::OUT_S16_ID,mgr);
- refOffset = 1;
- }
- break;
- case StatsTestsF16::TEST_ABSMIN_F16_39:
- {
- inputA.reload(StatsTestsF16::INPUTNEW1_F16_ID,mgr,23);
-
- minIndexes.reload(StatsTestsF16::ABSMININDEXES_S16_ID,mgr);
- ref.reload(StatsTestsF16::ABSMINVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- index.create(1,StatsTestsF16::OUT_S16_ID,mgr);
- refOffset = 2;
- }
- break;
- case StatsTestsF16::TEST_MIN_NO_IDX_F16_40:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,7);
-
- ref.reload(StatsTestsF16::MINVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 0;
- }
- break;
- case StatsTestsF16::TEST_MIN_NO_IDX_F16_41:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,16);
-
- ref.reload(StatsTestsF16::MINVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 1;
- }
- break;
- case StatsTestsF16::TEST_MIN_NO_IDX_F16_42:
- {
- inputA.reload(StatsTestsF16::INPUT1_F16_ID,mgr,23);
-
- ref.reload(StatsTestsF16::MINVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 2;
- }
- break;
- case StatsTestsF16::TEST_ABSMAX_NO_IDX_F16_43:
- {
- inputA.reload(StatsTestsF16::INPUTNEW1_F16_ID,mgr,7);
-
- ref.reload(StatsTestsF16::ABSMAXVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 0;
- }
- break;
- case StatsTestsF16::TEST_ABSMAX_NO_IDX_F16_44:
- {
- inputA.reload(StatsTestsF16::INPUTNEW1_F16_ID,mgr,16);
-
- ref.reload(StatsTestsF16::ABSMAXVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 1;
- }
- break;
- case StatsTestsF16::TEST_ABSMAX_NO_IDX_F16_45:
- {
- inputA.reload(StatsTestsF16::INPUTNEW1_F16_ID,mgr,23);
-
- ref.reload(StatsTestsF16::ABSMAXVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 2;
- }
- break;
- case StatsTestsF16::TEST_ABSMIN_NO_IDX_F16_46:
- {
- inputA.reload(StatsTestsF16::INPUTNEW1_F16_ID,mgr,7);
-
- ref.reload(StatsTestsF16::ABSMINVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 0;
- }
- break;
- case StatsTestsF16::TEST_ABSMIN_NO_IDX_F16_47:
- {
- inputA.reload(StatsTestsF16::INPUTNEW1_F16_ID,mgr,16);
-
- ref.reload(StatsTestsF16::ABSMINVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 1;
- }
- break;
- case StatsTestsF16::TEST_ABSMIN_NO_IDX_F16_48:
- {
- inputA.reload(StatsTestsF16::INPUTNEW1_F16_ID,mgr,23);
-
- ref.reload(StatsTestsF16::ABSMINVALS_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 2;
- }
- break;
- case StatsTestsF16::TEST_MSE_F16_49:
- {
- inputA.reload(StatsTestsF16::INPUTNEW1_F16_ID,mgr,7);
- inputB.reload(StatsTestsF16::INPUTNEW2_F16_ID,mgr,7);
-
- ref.reload(StatsTestsF16::MSE_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 0;
- }
- break;
- case StatsTestsF16::TEST_MSE_F16_50:
- {
- inputA.reload(StatsTestsF16::INPUTNEW1_F16_ID,mgr,16);
- inputB.reload(StatsTestsF16::INPUTNEW2_F16_ID,mgr,16);
-
- ref.reload(StatsTestsF16::MSE_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 1;
- }
- break;
- case StatsTestsF16::TEST_MSE_F16_51:
- {
- inputA.reload(StatsTestsF16::INPUTNEW1_F16_ID,mgr,23);
- inputB.reload(StatsTestsF16::INPUTNEW2_F16_ID,mgr,23);
-
- ref.reload(StatsTestsF16::MSE_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 2;
- }
- break;
- case StatsTestsF16::TEST_MSE_F16_52:
- {
- inputA.reload(StatsTestsF16::INPUTNEW1_F16_ID,mgr,100);
- inputB.reload(StatsTestsF16::INPUTNEW2_F16_ID,mgr,100);
-
- ref.reload(StatsTestsF16::MSE_F16_ID,mgr);
-
- output.create(1,StatsTestsF16::OUT_F16_ID,mgr);
- refOffset = 3;
- }
- break;
- }
-
- }
- void StatsTestsF16::tearDown(Testing::testID_t id,Client::PatternMgr *mgr)
- {
- (void)id;
- switch(id)
- {
- case StatsTestsF16::TEST_MAX_F16_1:
- case StatsTestsF16::TEST_MAX_F16_2:
- case StatsTestsF16::TEST_MAX_F16_3:
- case StatsTestsF16::TEST_MIN_F16_7:
- case StatsTestsF16::TEST_MIN_F16_8:
- case StatsTestsF16::TEST_MIN_F16_9:
- index.dump(mgr);
- output.dump(mgr);
- break;
- default:
- output.dump(mgr);
- }
- }
|