#include "StatsTestsF16.h" #include #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& 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); } }