/packages/modules/NeuralNetworks/runtime/test/specs/V1_2/ |
D | rnn_float16.mod.py | 18 units = 16 variable 24 weights = Input("weights", "TENSOR_FLOAT16", "{%d, %d}" % (units, input_size)) 25 recurrent_weights = Input("recurrent_weights", "TENSOR_FLOAT16", "{%d, %d}" % (units, units)) 26 bias = Input("bias", "TENSOR_FLOAT16", "{%d}" % (units)) 27 hidden_state_in = Input("hidden_state_in", "TENSOR_FLOAT16", "{%d, %d}" % (batches, units)) 31 hidden_state_out = IgnoredOutput("hidden_state_out", "TENSOR_FLOAT16", "{%d, %d}" % (batches, units… 32 output = Output("output", "TENSOR_FLOAT16", "{%d, %d}" % (batches, units)) 193 input0[hidden_state_in] = [0 for x in range(batches * units)] 195 hidden_state_out: [0 for x in range(batches * units)], 197 golden_start = i * units [all …]
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D | svdf_state_float16.mod.py | 18 units = 4 variable 25 weights_feature = Input("weights_feature", "TENSOR_FLOAT16", "{%d, %d}" % (units, input_size)) 26 weights_time = Input("weights_time", "TENSOR_FLOAT16", "{%d, %d}" % (units, memory_size)) 27 bias = Input("bias", "TENSOR_FLOAT16", "{%d}" % (units)) 28 state_in = Input("state_in", "TENSOR_FLOAT16", "{%d, %d}" % (batches, memory_size*units)) 31 state_out = Output("state_out", "TENSOR_FLOAT16", "{%d, %d}" % (batches, memory_size*units)) 32 output = Output("output", "TENSOR_FLOAT16", "{%d, %d}" % (batches, units))
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D | svdf_bias_present_float16.mod.py | 20 units = int(features / rank) variable 29 bias = Input("bias", "TENSOR_FLOAT16", "{%d}" % (units)) 34 output = Output("output", "TENSOR_FLOAT16", "{%d, %d}" % (batches, units)) 135 golden_start = i * units * batches 136 golden_end = golden_start + units * batches
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D | svdf_float16.mod.py | 20 units = int(features / rank) variable 29 bias = Input("bias", "TENSOR_FLOAT16", "{%d}" % (units)) 34 output = Output("output", "TENSOR_FLOAT16", "{%d, %d}" % (batches, units)) 135 golden_start = i * units * batches 136 golden_end = golden_start + units * batches
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/packages/modules/NeuralNetworks/runtime/test/specs/V1_1/ |
D | rnn_relaxed.mod.py | 18 units = 16 variable 24 weights = Input("weights", "TENSOR_FLOAT32", "{%d, %d}" % (units, input_size)) 25 recurrent_weights = Input("recurrent_weights", "TENSOR_FLOAT32", "{%d, %d}" % (units, units)) 26 bias = Input("bias", "TENSOR_FLOAT32", "{%d}" % (units)) 27 hidden_state_in = Input("hidden_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units)) 31 hidden_state_out = IgnoredOutput("hidden_state_out", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units… 32 output = Output("output", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units)) 194 input0[hidden_state_in] = [0 for x in range(batches * units)] 196 hidden_state_out: [0 for x in range(batches * units)], 198 golden_start = i * units [all …]
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D | rnn_state_relaxed.mod.py | 18 units = 16 variable 24 weights = Input("weights", "TENSOR_FLOAT32", "{%d, %d}" % (units, input_size)) 25 recurrent_weights = Input("recurrent_weights", "TENSOR_FLOAT32", "{%d, %d}" % (units, units)) 26 bias = Input("bias", "TENSOR_FLOAT32", "{%d}" % (units)) 27 hidden_state_in = Input("hidden_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units)) 31 hidden_state_out = IgnoredOutput("hidden_state_out", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units… 32 output = Output("output", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units))
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D | svdf_state_relaxed.mod.py | 18 units = 4 variable 25 weights_feature = Input("weights_feature", "TENSOR_FLOAT32", "{%d, %d}" % (units, input_size)) 26 weights_time = Input("weights_time", "TENSOR_FLOAT32", "{%d, %d}" % (units, memory_size)) 27 bias = Input("bias", "TENSOR_FLOAT32", "{%d}" % (units)) 28 state_in = Input("state_in", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*units)) 31 state_out = Output("state_out", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*units)) 32 output = Output("output", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units))
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D | svdf2_relaxed.mod.py | 20 units = int(features / rank) variable 29 bias = Input("bias", "TENSOR_FLOAT32", "{%d}" % (units)) 34 output = Output("output", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units)) 151 golden_start = i * units * batches 152 golden_end = golden_start + units * batches
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D | svdf_relaxed.mod.py | 20 units = int(features / rank) variable 29 bias = Input("bias", "TENSOR_FLOAT32", "{%d}" % (units)) 34 output = Output("output", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units)) 136 golden_start = i * units * batches 137 golden_end = golden_start + units * batches
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D | svdf_bias_present_relaxed.mod.py | 20 units = int(features / rank) variable 29 bias = Input("bias", "TENSOR_FLOAT32", "{%d}" % (units)) 34 output = Output("output", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units)) 136 golden_start = i * units * batches 137 golden_end = golden_start + units * batches
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/packages/modules/NeuralNetworks/runtime/test/specs/V1_0/ |
D | rnn.mod.py | 18 units = 16 variable 24 weights = Input("weights", "TENSOR_FLOAT32", "{%d, %d}" % (units, input_size)) 25 recurrent_weights = Input("recurrent_weights", "TENSOR_FLOAT32", "{%d, %d}" % (units, units)) 26 bias = Input("bias", "TENSOR_FLOAT32", "{%d}" % (units)) 27 hidden_state_in = Input("hidden_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units)) 31 hidden_state_out = IgnoredOutput("hidden_state_out", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units… 32 output = Output("output", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units)) 193 input0[hidden_state_in] = [0 for x in range(batches * units)] 195 hidden_state_out: [0 for x in range(batches * units)], 197 golden_start = i * units [all …]
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D | rnn_state.mod.py | 18 units = 16 variable 24 weights = Input("weights", "TENSOR_FLOAT32", "{%d, %d}" % (units, input_size)) 25 recurrent_weights = Input("recurrent_weights", "TENSOR_FLOAT32", "{%d, %d}" % (units, units)) 26 bias = Input("bias", "TENSOR_FLOAT32", "{%d}" % (units)) 27 hidden_state_in = Input("hidden_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units)) 31 hidden_state_out = IgnoredOutput("hidden_state_out", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units… 32 output = Output("output", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units))
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D | svdf_state.mod.py | 18 units = 4 variable 25 weights_feature = Input("weights_feature", "TENSOR_FLOAT32", "{%d, %d}" % (units, input_size)) 26 weights_time = Input("weights_time", "TENSOR_FLOAT32", "{%d, %d}" % (units, memory_size)) 27 bias = Input("bias", "TENSOR_FLOAT32", "{%d}" % (units)) 28 state_in = Input("state_in", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*units)) 31 state_out = Output("state_out", "TENSOR_FLOAT32", "{%d, %d}" % (batches, memory_size*units)) 32 output = Output("output", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units))
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D | svdf.mod.py | 20 units = int(features / rank) variable 29 bias = Input("bias", "TENSOR_FLOAT32", "{%d}" % (units)) 34 output = Output("output", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units)) 135 golden_start = i * units * batches 136 golden_end = golden_start + units * batches
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D | svdf_bias_present.mod.py | 20 units = int(features / rank) variable 29 bias = Input("bias", "TENSOR_FLOAT32", "{%d}" % (units)) 34 output = Output("output", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units)) 135 golden_start = i * units * batches 136 golden_end = golden_start + units * batches
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D | svdf2.mod.py | 20 units = int(features / rank) variable 29 bias = Input("bias", "TENSOR_FLOAT32", "{%d}" % (units)) 34 output = Output("output", "TENSOR_FLOAT32", "{%d, %d}" % (batches, units)) 150 golden_start = i * units * batches 151 golden_end = golden_start + units * batches
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/packages/modules/HealthFitness/apk/src/com/android/healthconnect/controller/dataentries/units/ |
D | UnitsFragment.kt | 16 package com.android.healthconnect.controller.dataentries.units in <lambda>() 22 import com.android.healthconnect.controller.dataentries.units.DistanceUnit.* in <lambda>() 23 import com.android.healthconnect.controller.dataentries.units.EnergyUnit.* in <lambda>() 24 import com.android.healthconnect.controller.dataentries.units.HeightUnit.* in <lambda>() 25 import com.android.healthconnect.controller.dataentries.units.TemperatureUnit.CELSIUS in <lambda>() 26 import com.android.healthconnect.controller.dataentries.units.TemperatureUnit.FAHRENHEIT in <lambda>() 27 import com.android.healthconnect.controller.dataentries.units.TemperatureUnit.KELVIN in <lambda>() 28 import com.android.healthconnect.controller.dataentries.units.UnitPreferences.Companion.DISTANCE_UN… in <lambda>() 29 import com.android.healthconnect.controller.dataentries.units.UnitPreferences.Companion.ENERGY_UNIT… in <lambda>() 30 import com.android.healthconnect.controller.dataentries.units.UnitPreferences.Companion.HEIGHT_UNIT… in <lambda>() [all …]
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D | LengthConverter.kt | 14 package com.android.healthconnect.controller.dataentries.units 16 import com.android.healthconnect.controller.dataentries.units.DistanceUnit.KILOMETERS 17 import com.android.healthconnect.controller.dataentries.units.DistanceUnit.MILES 18 import com.android.healthconnect.controller.dataentries.units.HeightUnit.CENTIMETERS 19 import com.android.healthconnect.controller.dataentries.units.HeightUnit.FEET
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D | UnitPreferences.kt | 14 package com.android.healthconnect.controller.dataentries.units 19 import com.android.healthconnect.controller.dataentries.units.DistanceUnit.KILOMETERS 20 import com.android.healthconnect.controller.dataentries.units.EnergyUnit.CALORIE 21 import com.android.healthconnect.controller.dataentries.units.EnergyUnit.valueOf 22 import com.android.healthconnect.controller.dataentries.units.HeightUnit.CENTIMETERS 23 import com.android.healthconnect.controller.dataentries.units.TemperatureUnit.FAHRENHEIT 24 import com.android.healthconnect.controller.dataentries.units.WeightUnit.POUND
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/packages/modules/HealthFitness/framework/api/ |
D | current.txt | 375 method @NonNull public android.health.connect.datatypes.units.Energy getEnergy(); 376 …health.connect.datatypes.AggregationType<android.health.connect.datatypes.units.Energy> ACTIVE_CAL… 380 ….time.Instant, @NonNull java.time.Instant, @NonNull android.health.connect.datatypes.units.Energy); 399 method @NonNull public android.health.connect.datatypes.units.Temperature getTemperature(); 403 …ata, @NonNull java.time.Instant, int, @NonNull android.health.connect.datatypes.units.Temperature); 410 method @NonNull public android.health.connect.datatypes.units.Power getBasalMetabolicRate(); 411 …health.connect.datatypes.AggregationType<android.health.connect.datatypes.units.Energy> BASAL_CALO… 415 …types.Metadata, @NonNull java.time.Instant, @NonNull android.health.connect.datatypes.units.Power); 422 method @NonNull public android.health.connect.datatypes.units.BloodGlucose getLevel(); 429 …NonNull java.time.Instant, int, @NonNull android.health.connect.datatypes.units.BloodGlucose, int,… [all …]
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/packages/modules/HealthFitness/apk/tests/src/com/android/healthconnect/controller/tests/dataentries/units/ |
D | UnitsFragmentTest.kt | 16 package com.android.healthconnect.controller.tests.dataentries.units 29 import com.android.healthconnect.controller.dataentries.units.DistanceUnit 30 import com.android.healthconnect.controller.dataentries.units.EnergyUnit 31 import com.android.healthconnect.controller.dataentries.units.HeightUnit 32 import com.android.healthconnect.controller.dataentries.units.TemperatureUnit 33 import com.android.healthconnect.controller.dataentries.units.UnitPreferences 34 import com.android.healthconnect.controller.dataentries.units.UnitPreferences.Companion.DEFAULT_DIS… 35 import com.android.healthconnect.controller.dataentries.units.UnitPreferences.Companion.DEFAULT_ENE… 36 import com.android.healthconnect.controller.dataentries.units.UnitPreferences.Companion.DEFAULT_HEI… 37 import com.android.healthconnect.controller.dataentries.units.UnitPreferences.Companion.DEFAULT_TEM… [all …]
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/packages/modules/HealthFitness/apk/src/com/android/healthconnect/controller/dataentries/formatters/ |
D | EnergyFormatter.kt | 19 import android.health.connect.datatypes.units.Energy 23 import com.android.healthconnect.controller.dataentries.units.EnergyConverter.convertToJoules 24 import com.android.healthconnect.controller.dataentries.units.EnergyUnit 25 import com.android.healthconnect.controller.dataentries.units.EnergyUnit.CALORIE 26 import com.android.healthconnect.controller.dataentries.units.EnergyUnit.KILOJOULE 27 import com.android.healthconnect.controller.dataentries.units.UnitPreferences
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D | HeightFormatter.kt | 20 import android.health.connect.datatypes.units.Length 25 import com.android.healthconnect.controller.dataentries.units.HeightUnit 26 import com.android.healthconnect.controller.dataentries.units.HeightUnit.CENTIMETERS 27 import com.android.healthconnect.controller.dataentries.units.HeightUnit.FEET 28 import com.android.healthconnect.controller.dataentries.units.LengthConverter.convertHeightFromMete… 29 import com.android.healthconnect.controller.dataentries.units.UnitPreferences
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/packages/apps/Settings/src/com/android/settings/utils/ |
D | FileSizeFormatter.java | 46 public final MeasureUnit units; field in FileSizeFormatter.RoundedBytesResult 51 float value, MeasureUnit units, int fractionDigits, long roundedBytes) { in RoundedBytesResult() argument 53 this.units = units; in RoundedBytesResult() 86 float value, MeasureUnit units) { in formatMeasureShort() argument 89 return measureFormatter.format(new Measure(value, units)); in formatMeasureShort() 96 return formatMeasureShort(locale, numberFormatter, input.value, input.units); in formatRoundedBytesResult()
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/packages/apps/Car/Settings/src/com/android/car/settings/storage/ |
D | FileSizeFormatter.java | 45 public final MeasureUnit units; field in FileSizeFormatter.RoundedBytesResult 49 private RoundedBytesResult(float value, MeasureUnit units, int fractionDigits, in RoundedBytesResult() argument 52 this.units = units; in RoundedBytesResult() 85 float value, MeasureUnit units) { in formatMeasureShort() argument 88 return measureFormatter.format(new Measure(value, units)); in formatMeasureShort() 95 return formatMeasureShort(locale, numberFormatter, input.value, input.units); in formatRoundedBytesResult()
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