/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_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_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_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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/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_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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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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/packages/services/Car/tests/DiagnosticTools/src/com/google/android/car/diagnostictools/utils/ |
D | SensorMetadata.java | 62 private SensorMetadata(String translationString, String name, String units) { in SensorMetadata() argument 74 this.mUnits = units; in SensorMetadata() 89 private SensorMetadata(float scale, float offset, String name, String units) { in SensorMetadata() argument 93 this.mUnits = units; in SensorMetadata() 123 String units = readStringFromJSON(UNITS_KEY, json); in buildFromJson() local 131 return new SensorMetadata(scale, offset, name, units); in buildFromJson() 145 return new SensorMetadata(translationString, name, units); in buildFromJson()
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/packages/apps/Car/Settings/tests/robotests/src/com/android/car/settings/testutils/ |
D | ShadowCarUnitsManager.java | 19 import com.android.car.settings.units.CarUnitsManager; 20 import com.android.car.settings.units.Unit; 21 import com.android.car.settings.units.UnitsMap; 83 public static void setUnitsSupportedByProperty(int propertyId, Unit[] units) { in setUnitsSupportedByProperty() argument 84 sSupportedUnits.put(propertyId, units); in setUnitsSupportedByProperty()
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/packages/apps/Settings/src/com/android/settings/utils/ |
D | FileSizeFormatter.java | 61 .unicodeWrap(context.getString(getFileSizeSuffix(context), res.value, res.units)); in formatFileSize() 112 final String units = res.getString(suffix); in formatBytes() local 114 return new Formatter.BytesResult(roundedString, units, roundedBytes); in formatBytes()
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/packages/apps/Car/Settings/src/com/android/car/settings/storage/ |
D | FileSizeFormatter.java | 61 .unicodeWrap(context.getString(getFileSizeSuffix(context), res.value, res.units)); in formatFileSize() 112 String units = res.getString(suffix); in formatBytes() local 114 return new Formatter.BytesResult(roundedString, units, roundedBytes); in formatBytes()
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/packages/apps/Car/Settings/src/com/android/car/settings/units/ |
D | CarUnitsManager.java | 17 package com.android.car.settings.units; 91 List<Unit> units = new ArrayList<Unit>(); in getUnitsSupportedByProperty() local 103 units.add(unit); in getUnitsSupportedByProperty()
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/packages/apps/Car/Settings/src/com/android/car/settings/datausage/ |
D | UsageBytesThresholdPickerDialog.java | 92 String[] units = getContext().getResources().getStringArray(R.array.bytes_picker_sizes); in onCreateDialog() local 95 mBytesUnits.setMaxValue(units.length - 1); in onCreateDialog() 96 mBytesUnits.setDisplayedValues(units); in onCreateDialog()
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/packages/services/BuiltInPrintService/jni/ipphelper/ |
D | ipphelper.c | 483 ipp_res_t units; in print_col() local 485 xres = ippGetResolution(attr, i, &yres, &units); in print_col() 489 units == IPP_RES_PER_INCH ? "dpi" : "dpc"); in print_col() 571 ipp_res_t units; in print_attr() local 573 xres = ippGetResolution(attr, i, &yres, &units); in print_attr() 577 units == IPP_RES_PER_INCH ? "dpi" : "dpc"); in print_attr() 845 ipp_res_t units; in get_supportedPrinterResolutions() local 847 xres = ippGetResolution(attrptr, i, &yres, &units); in get_supportedPrinterResolutions() 848 if (units == IPP_RES_PER_INCH) { in get_supportedPrinterResolutions()
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/packages/apps/Settings/src/com/android/settings/ |
D | SummaryPreference.java | 61 public void setUnits(String units) { in setUnits() argument 62 mUnits = units; in setUnits()
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/packages/services/Car/cpp/evs/apps/default/ |
D | config.json.readme | 6 // Throughout this file, units of length are arbitrary, but must all be the same units.
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