| /external/webrtc/modules/audio_processing/utility/ |
| D | delay_estimator_unittest.cc | 505 int32_t mean_value = 4000; in TEST_F() local
506 int32_t mean_value_before = mean_value; in TEST_F()
507 int32_t new_mean_value = mean_value * 2; in TEST_F()
510 WebRtc_MeanEstimatorFix(new_mean_value, 10, &mean_value); in TEST_F()
511 EXPECT_LT(mean_value_before, mean_value); in TEST_F()
512 EXPECT_GT(new_mean_value, mean_value); in TEST_F()
515 new_mean_value = mean_value / 2; in TEST_F()
516 mean_value_before = mean_value; in TEST_F()
517 WebRtc_MeanEstimatorFix(new_mean_value, 10, &mean_value); in TEST_F()
518 EXPECT_GT(mean_value_before, mean_value); in TEST_F()
[all …]
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| D | delay_estimator_wrapper.cc | 46 float* mean_value) { in MeanEstimatorFloat() argument
48 *mean_value += (new_value - *mean_value) * scale; in MeanEstimatorFloat()
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| D | delay_estimator.h | 253 int32_t* mean_value);
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| D | delay_estimator.cc | 696 int32_t* mean_value) { in WebRtc_MeanEstimatorFix() argument
697 int32_t diff = new_value - *mean_value; in WebRtc_MeanEstimatorFix()
705 *mean_value += diff; in WebRtc_MeanEstimatorFix()
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| /external/webrtc/common_audio/vad/ |
| D | vad_sp.c | 164 if (current_median < self->mean_value[channel]) { in WebRtcVad_FindMinimum()
170 tmp32 = (alpha + 1) * self->mean_value[channel]; in WebRtcVad_FindMinimum()
173 self->mean_value[channel] = (int16_t) (tmp32 >> 15); in WebRtcVad_FindMinimum()
175 return self->mean_value[channel]; in WebRtcVad_FindMinimum()
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| D | vad_core.h | 41 int16_t mean_value[kNumChannels]; member
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| D | vad_core.c | 534 self->mean_value[i] = 1600; in WebRtcVad_InitCore()
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| /external/tensorflow/tensorflow/python/tools/ |
| D | optimize_for_inference_lib.py | 288 mean_value = values_from_const(mean_op)
292 mean_value = mean_value - values_from_const(bias)
293 if mean_value.shape != (channel_count,):
295 " for node %s" % (str(mean_value.shape), str(
355 offset_value = (-mean_value * scale_value) + beta_value
391 offset_value, mean_value.dtype.type, offset_value.shape)))
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | quantized_batch_norm_op.cc | 58 const float mean_value = in ReferenceBatchNorm() local
68 output_value = (((input_value - mean_value) / in ReferenceBatchNorm()
73 output_value = ((input_value - mean_value) / in ReferenceBatchNorm()
123 const float mean_value = in FixedPointBatchNorm() local
137 const float offset_value = (-mean_value * scale_value) + beta_value; in FixedPointBatchNorm()
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| /external/tensorflow/tensorflow/lite/toco/ |
| D | model_flags.proto | 44 // mean_value and std_value parameters control the interpretation of raw input
48 // real_value = (raw_input_value - mean_value) / std_value
50 // In particular, the defaults (mean_value=0, std_value=1) yield
53 // its raw inputs, in [0, 255] range, may use mean_value=128, std_value=128 to
56 // Note: this matches exactly the meaning of mean_value and std_value in
58 optional float mean_value = 3; field
72 // corresponding quantization parameters are the mean_value, std_value
135 // optional float mean_value = 7;
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| D | model_cmdline_flags.cc | 93 Flag("mean_value", parsed_flags.mean_value.bind(), in ParseModelFlagsFromCommandLineFlags()
94 parsed_flags.mean_value.default_value(), in ParseModelFlagsFromCommandLineFlags()
229 parsed_model_flags.mean_value.specified() || in ReadModelFlagsFromCommandLineFlags()
257 if (parsed_model_flags.mean_value.specified()) { in ReadModelFlagsFromCommandLineFlags()
260 parsed_model_flags.mean_value.value()); in ReadModelFlagsFromCommandLineFlags()
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| D | args.h | 132 Arg<float> mean_value = Arg<float>(0.f); member
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| D | tooling_util.cc | 1562 RESOLVE_MODEL_FLAG(mean_value); in ResolveModelFlags()
1685 const float mean_value = input_array_proto.mean_value(); in ResolveModelFlags() local
1693 input_minmax.min = (qmin - mean_value) / std_value; in ResolveModelFlags()
1694 input_minmax.max = (qmax - mean_value) / std_value; in ResolveModelFlags()
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| D | toco_flags.proto | 63 // parameters used for such input arrays are their mean_value, std_value
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| /external/tflite-support/tensorflow_lite_support/cc/task/vision/core/ |
| D | base_vision_task_api.h | 204 float mean_value = normalization_options.mean_values[0]; in Preprocess() local
209 inv_std_value * (static_cast<float>(*input_data) - mean_value); in Preprocess()
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| /external/tensorflow/tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/ |
| D | legacy-fed-input-without-inputs.pbtxt | 20 …[dist_belief.ImageInputDef.ext] {\n num_rows: 128\n num_cols: 128\n mean_value: 128\n std_valu…
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| /external/tensorflow/tensorflow/lite/g3doc/r1/convert/ |
| D | cmdline_reference.md | 77 * `real_value = (quantized_value - mean_value) / std_dev_value`.
85 arrays as specified by `mean_value` and `std_dev_value`, determine the
87 `mean_value` must be an integer when performing quantized inference.
122 their `mean_value` and `std_dev_value` parameters.
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| /external/tensorflow/tensorflow/lite/python/ |
| D | convert.py | 501 input_array.mean_value, input_array.std_value = quantized_input_stats[idx]
583 input_array.mean_value, input_array.std_value = kwargs[
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| /external/tensorflow/tensorflow/lite/toco/graph_transformations/ |
| D | dequantize.cc | 69 CHECK_LE(std::abs(new_mean_value - input_array.mean_value()), 0.001); in ClearArrayQuantizationParams()
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| /external/tensorflow/tensorflow/compiler/mlir/lite/transforms/ |
| D | prepare_tf.cc | 1010 ::mlir::Value mean_value = (*mean.begin()); in matchAndRewrite()
1105 if (!is_last_dim_compatible(mean_value, last_dim) || in matchAndRewrite()
1206 mean_value = (*mul_op_1.getODSResults(0).begin()); in matchAndRewrite()
1254 /*x=*/mean_value, in matchAndRewrite()
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| /external/tensorflow/tensorflow/compiler/mlir/lite/python/ |
| D | tf_tfl_flatbuffer_helpers.cc | 233 auto min_max, InputStatsToMinMax(flag.mean_value(), in PopulateQuantizationSpecs()
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| /external/tensorflow/tensorflow/python/ops/parallel_for/ |
| D | control_flow_ops_test.py | 245 mean_value = math_ops.reduce_mean(vectorized_value, axis=0)
246 return x_i - mean_value
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