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- #include "StatsTestsF16.h"
- #include <stdio.h>
- #include "Error.h"
- #include "Test.h"
- #define SNR_THRESHOLD 50
- /*
- Reference patterns are generated with
- a double precision computation.
- */
- #define REL_ERROR (3.0e-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]);
- }
- #if 0
- 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]);
- }
- #endif
- 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_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);
- }
- #if 0
- 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_THRESHOLD);
- ASSERT_REL_ERROR(ref,output,REL_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);
- }
- #endif
-
- 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;
- #if 0
- 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,3);
-
- 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;
- #endif
- 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;
- }
-
- }
- 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);
- }
- }
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