/external/tensorflow/tensorflow/contrib/boosted_trees/python/kernel_tests/ |
D | split_handler_ops_test.py | 48 partitions, gains, splits = ( 64 partitions, gains, splits = sess.run([partitions, gains, splits]) 89 expected_left_gain + expected_right_gain - expected_bias_gain, gains[0], 106 self.assertAllClose(0.0, gains[1], 0.00001) 122 partitions, gains, splits = ( 138 partitions, gains, splits = sess.run([partitions, gains, splits]) 162 partitions, gains, splits = ( 178 partitions, gains, splits = sess.run([partitions, gains, splits]) 181 self.assertEqual(0, len(gains)) 203 partitions, gains, splits = ( [all …]
|
D | training_ops_test.py | 347 gains=[handler1_gains, handler2_gains, handler3_gains], 461 gains=[handler1_gains, handler2_gains, handler3_gains], 613 gains=[handler1_gains, handler2_gains, handler3_gains], 799 gains=[handler1_gains, handler2_gains, handler3_gains], 937 gains=[handler1_gains, handler2_gains], 1009 gains=[handler1_gains, handler2_gains, handler3_gains], 1112 gains=[handler1_gains, handler2_gains], 1195 gains=[handler1_gains], 1263 gains=[handler1_gains, handler2_gains], 1344 gains=[handler1_gains], [all …]
|
/external/webrtc/webrtc/modules/audio_processing/agc/legacy/ |
D | digital_agc.c | 301 int32_t gains[11]; in WebRtcAgc_ProcessDigital() local 416 gains[0] = stt->gain; in WebRtcAgc_ProcessDigital() 457 gains[k + 1] = stt->gainTable[zeros] + (tmp32 >> 12); in WebRtcAgc_ProcessDigital() 507 if ((gains[k + 1] - stt->gainTable[0]) > 8388608) in WebRtcAgc_ProcessDigital() 510 tmp32 = (gains[k + 1] - stt->gainTable[0]) >> 8; in WebRtcAgc_ProcessDigital() 514 tmp32 = (gains[k+1] - stt->gainTable[0]) * (178 + gain_adj); in WebRtcAgc_ProcessDigital() 517 gains[k + 1] = stt->gainTable[0] + tmp32; in WebRtcAgc_ProcessDigital() 526 if (gains[k + 1] > 47453132) in WebRtcAgc_ProcessDigital() 528 zeros = 16 - WebRtcSpl_NormW32(gains[k + 1]); in WebRtcAgc_ProcessDigital() 530 gain32 = (gains[k + 1] >> zeros) + 1; in WebRtcAgc_ProcessDigital() [all …]
|
/external/libopus/silk/float/ |
D | residual_energy_FLP.c | 95 …const silk_float gains[], /* I Quantization gains … in silk_residual_energy_FLP() argument 109 …nrgs[ 0 ] = ( silk_float )( gains[ 0 ] * gains[ 0 ] * silk_energy_FLP( LPC_res_ptr + 0 * shift, su… in silk_residual_energy_FLP() 110 …nrgs[ 1 ] = ( silk_float )( gains[ 1 ] * gains[ 1 ] * silk_energy_FLP( LPC_res_ptr + 1 * shift, su… in silk_residual_energy_FLP() 114 …nrgs[ 2 ] = ( silk_float )( gains[ 2 ] * gains[ 2 ] * silk_energy_FLP( LPC_res_ptr + 0 * shift, su… in silk_residual_energy_FLP() 115 …nrgs[ 3 ] = ( silk_float )( gains[ 3 ] * gains[ 3 ] * silk_energy_FLP( LPC_res_ptr + 1 * shift, su… in silk_residual_energy_FLP()
|
/external/tensorflow/tensorflow/contrib/boosted_trees/lib/learner/batch/ |
D | categorical_split_handler_test.py | 104 are_splits_ready, partitions, gains, splits = ( 106 are_splits_ready, partitions, gains, splits = (sess.run( 107 [are_splits_ready, partitions, gains, splits])) 138 expected_left_gain + expected_right_gain - expected_bias_gain, gains[0], 162 self.assertAllClose(0.0, gains[1], 0.00001) 228 are_splits_ready, partitions, gains, splits = ( 230 are_splits_ready, partitions, gains, splits = ( 231 sess.run([are_splits_ready, partitions, gains, splits])) 281 gains[0], 0.00001) 338 are_splits_ready, partitions, gains, splits = ( [all …]
|
D | ordinal_split_handler_test.py | 111 are_splits_ready2, partitions, gains, splits = ( 113 are_splits_ready, are_splits_ready2, partitions, gains, splits = ( 115 are_splits_ready, are_splits_ready2, partitions, gains, splits 147 expected_left_gain + expected_right_gain - expected_bias_gain, gains[0], 175 self.assertAllClose(0.0, gains[1], 0.00001) 249 are_splits_ready2, partitions, gains, splits = ( 252 are_splits_ready2, partitions, gains, splits = ( 254 [are_splits_ready2, partitions, gains, splits], 315 self.assertAllClose(layer_gain, gains[0], 0.00001) 391 are_splits_ready2, partitions, gains, splits = ( [all …]
|
D | ordinal_split_handler.py | 270 are_splits_ready, partition_ids, gains, split_infos = ( 278 return are_splits_ready, partition_ids, gains, split_infos 322 partition_ids, gains, split_infos = ( 338 return are_splits_ready, partition_ids, gains, split_infos 450 are_splits_ready, partition_ids, gains, split_infos = ( 457 return are_splits_ready, partition_ids, gains, split_infos 499 partition_ids, gains, split_infos = ( 515 return are_splits_ready, partition_ids, gains, split_infos
|
D | categorical_split_handler.py | 198 partition_ids, gains, split_infos = ( 217 return (are_splits_ready, partition_ids, gains, split_infos)
|
/external/webrtc/webrtc/modules/audio_coding/codecs/isac/main/source/ |
D | pitch_filter.c | 261 double* lags, double* gains, PitchFilterOperation mode, in FilterFrame() argument 294 gains[n] *= -kEnhancer; in FilterFrame() 305 old_gain = gains[0]; in FilterFrame() 319 gain_delta = (gains[m] - old_gain) / PITCH_GRAN_PER_SUBFRAME; in FilterFrame() 323 old_gain = gains[m]; in FilterFrame() 360 double* gains) { in WebRtcIsac_PitchfilterPre() argument 361 FilterFrame(in_data, pf_state, lags, gains, kPitchFilterPre, out_data, NULL); in WebRtcIsac_PitchfilterPre() 366 double* gains) { in WebRtcIsac_PitchfilterPre_la() argument 367 FilterFrame(in_data, pf_state, lags, gains, kPitchFilterPreLa, out_data, in WebRtcIsac_PitchfilterPre_la() 374 double* lags, double* gains) { in WebRtcIsac_PitchfilterPre_gains() argument [all …]
|
D | pitch_estimator.h | 29 double *gains); 41 double *gains); 47 double *gains); 53 double *gains); 60 double *gains);
|
D | pitch_estimator.c | 472 double *gains) in WebRtcIsac_PitchAnalysis() argument 524 gains[k] = PITCH_MAX_GAIN_06; in WebRtcIsac_PitchAnalysis() 529 WebRtcIsac_PitchfilterPre_gains(Whitened, out_G, out_dG, &(State->PFstr_wght), lags, gains); in WebRtcIsac_PitchAnalysis() 551 tmp += kWeight[k+1][m+1] * gains[m]; in WebRtcIsac_PitchAnalysis() 562 tmp = 1.0 / (1 - gains[k]); in WebRtcIsac_PitchAnalysis() 566 tmp = 1.0 / (1 - gains[3]); in WebRtcIsac_PitchAnalysis() 602 gains[k] += dG[k]; in WebRtcIsac_PitchAnalysis() 603 if (gains[k] > PITCH_MAX_GAIN) in WebRtcIsac_PitchAnalysis() 604 gains[k] = PITCH_MAX_GAIN; in WebRtcIsac_PitchAnalysis() 605 else if (gains[k] < 0.0) in WebRtcIsac_PitchAnalysis() [all …]
|
/external/webrtc/webrtc/modules/audio_processing/vad/ |
D | pitch_internal.cc | 29 double* gains, in GetSubframesPitchParameters() argument 39 gains[n] = log(gains[n] + 1e-12); in GetSubframesPitchParameters() 42 PitchInterpolation(*log_old_gain, gains, log_pitch_gain); in GetSubframesPitchParameters() 43 *log_old_gain = gains[num_in_frames - 1]; in GetSubframesPitchParameters()
|
D | pitch_internal_unittest.cc | 23 double gains[] = {0.6, 0.2, 0.5, 0.4}; in TEST() local 31 double expected_log_old_gain = log(gains[kNumInputParameters - 1]); in TEST() 40 GetSubframesPitchParameters(kSamplingRateHz, gains, lags, kNumInputParameters, in TEST()
|
D | vad_audio_proc.cc | 237 double gains[kNumPitchSubframes]; in PitchAnalysis() local 255 pitch_analysis_handle_.get(), lags, gains); in PitchAnalysis() 260 kSampleRateHz / 2, gains, lags, kNumPitchSubframes, kNum10msSubframes, in PitchAnalysis()
|
D | pitch_internal.h | 17 double* gains,
|
/external/libopus/celt/mips/ |
D | celt_mipsr1.h | 68 static const opus_val16 gains[3][3] = { in comb_filter() local 81 g00 = MULT16_16_P15(g0, gains[tapset0][0]); in comb_filter() 82 g01 = MULT16_16_P15(g0, gains[tapset0][1]); in comb_filter() 83 g02 = MULT16_16_P15(g0, gains[tapset0][2]); in comb_filter() 84 g10 = MULT16_16_P15(g1, gains[tapset1][0]); in comb_filter() 85 g11 = MULT16_16_P15(g1, gains[tapset1][1]); in comb_filter() 86 g12 = MULT16_16_P15(g1, gains[tapset1][2]); in comb_filter()
|
/external/libopus/celt/ |
D | celt.c | 198 static const opus_val16 gains[3][3] = { in comb_filter() local 214 g00 = MULT16_16_P15(g0, gains[tapset0][0]); in comb_filter() 215 g01 = MULT16_16_P15(g0, gains[tapset0][1]); in comb_filter() 216 g02 = MULT16_16_P15(g0, gains[tapset0][2]); in comb_filter() 217 g10 = MULT16_16_P15(g1, gains[tapset1][0]); in comb_filter() 218 g11 = MULT16_16_P15(g1, gains[tapset1][1]); in comb_filter() 219 g12 = MULT16_16_P15(g1, gains[tapset1][2]); in comb_filter()
|
/external/webrtc/webrtc/modules/audio_coding/codecs/ilbc/ |
D | cb_search.c | 56 int16_t gains[CB_NSTAGES+1]; in WebRtcIlbcfix_CbSearch() local 184 gains[0] = 16384; in WebRtcIlbcfix_CbSearch() 290 … (int16_t)WEBRTC_SPL_ABS_W16(gains[stage]), stage, &gain_index[stage]); in WebRtcIlbcfix_CbSearch() 346 gains[stage+1] = bestGain; in WebRtcIlbcfix_CbSearch() 369 tmp = (int16_t)((gains[1] * gains[1]) >> 14); in WebRtcIlbcfix_CbSearch() 373 tmpW32 = ((int32_t)(gains[1]-1))<<1; in WebRtcIlbcfix_CbSearch()
|
/external/libopus/silk/fixed/ |
D | residual_energy_FIX.c | 42 …const opus_int32 gains[ MAX_NB_SUBFR ], /* I Quantization gains… in silk_residual_energy_FIX() 86 lz2 = silk_CLZ32( gains[ i ] ) - 1; in silk_residual_energy_FIX() 88 tmp32 = silk_LSHIFT32( gains[ i ], lz2 ); in silk_residual_energy_FIX()
|
/external/tensorflow/tensorflow/contrib/boosted_trees/kernels/ |
D | split_handler_ops.cc | 210 tensorflow::TTypes<float>::Vec gains = gains_t->vec<float>(); in Compute() local 228 hessians_t, &output_partition_ids, &gains, &output_splits); in Compute() 235 hessians_t, &output_partition_ids, &gains, &output_splits); in Compute() 250 tensorflow::TTypes<float>::Vec* gains, in ComputeNormalDecisionTree() argument 297 (*gains)(root_idx) = in ComputeNormalDecisionTree() 310 tensorflow::TTypes<float>::Vec* gains, in ComputeObliviousDecisionTree() argument 401 (*gains)(0) = best_gain; in ComputeObliviousDecisionTree() 526 tensorflow::TTypes<float>::Vec gains = gains_t->vec<float>(); in Compute() local 678 gains(root_idx) = in Compute() 777 tensorflow::TTypes<float>::Vec gains = gains_t->vec<float>(); in Compute() local [all …]
|
D | training_ops.cc | 449 const auto& gains = gains_list[handler_id].vec<float>(); in FindBestSplitsPerPartitionNormal() local 451 OP_REQUIRES(context, partition_ids.size() == gains.size(), in FindBestSplitsPerPartitionNormal() 454 partition_ids.size(), " != ", gains.size())); in FindBestSplitsPerPartitionNormal() 463 const auto& gain = gains(candidate_idx); in FindBestSplitsPerPartitionNormal() 483 const auto& gains = gains_list[handler_id].vec<float>(); in FindBestSplitOblivious() local 485 OP_REQUIRES(context, gains.size() == 1, in FindBestSplitOblivious() 488 gains.size(), " != ", 1)); in FindBestSplitOblivious() 494 const auto& gain = gains(0); in FindBestSplitOblivious()
|
/external/tensorflow/tensorflow/python/kernel_tests/boosted_trees/ |
D | training_ops_test.py | 74 gains=[feature1_gains, feature2_gains, feature3_gains], 265 gains=[feature1_gains, feature2_gains, feature3_gains], 445 gains=[feature1_gains], 600 gains=[feature1_gains, feature2_gains, feature3_gains], 740 gains=[], 869 gains=[feature1_gains, feature2_gains, feature3_gains], 963 gains=[feature1_gains, feature2_gains], 1039 gains=[feature1_gains], 1147 gains=[feature1_gains], 1298 gains=[feature1_gains, feature2_gains], [all …]
|
/external/webrtc/webrtc/modules/audio_processing/intelligibility/ |
D | intelligibility_enhancer.cc | 241 float* gains = gain_applier_.target(); in UpdateErbGains() local 243 gains[i] = 0.0f; in UpdateErbGains() 245 gains[i] = fmaf(filter_bank_[j][i], gains_eq_[j], gains[i]); in UpdateErbGains()
|
/external/tensorflow/tensorflow/core/api_def/base_api/ |
D | api_def_BoostedTreesUpdateEnsemble.pbtxt | 25 name: "gains" 27 List of rank 1 tensors representing the gains for each of the feature's
|
D | api_def_BoostedTreesCalculateBestGainsPerFeature.pbtxt | 49 An output list of Rank 1 tensors indicating the best gains for each feature to split for certain no… 82 …summary: "Calculates gains for each feature and returns the best possible split information for th… 84 The split information is the best threshold (bucket id), gains and left/right node contributions pe…
|