/frameworks/ml/nn/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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/frameworks/ml/nn/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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/frameworks/ml/nn/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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/frameworks/base/libs/hwui/pipeline/skia/ |
D | SkiaMemoryTracer.cpp | 68 type = typeResult->second.units; in processElement() 83 resourceName = categoryResult->second.units; in processElement() 102 SkASSERT(sizeResult->second.units == typeResult->second.units); in processElement() 121 const char* units, uint64_t value) { in dumpNumericValue() argument 126 mCurrentValues.insert({valueName, {units, value}}); in dumpNumericValue() 140 traceValue.units, traceValue.count, entry); in logOutput() 148 traceValue.value, traceValue.units, traceValue.count, entry); in logOutput() 158 total.value, total.units, purgeable.value, purgeable.units); in logTotals() 163 if (SkString("bytes") == SkString(output.units) && output.value >= 1024) { in convertUnits() 165 output.units = "KB"; in convertUnits() [all …]
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D | SkiaMemoryTracer.h | 40 void dumpNumericValue(const char* dumpName, const char* valueName, const char* units, 58 TraceValue(const char* units, uint64_t value) : units(units), value(value), count(1) {} in TraceValue() 59 TraceValue(const TraceValue& v) : units(v.units), value(v.value), count(v.count) {} in TraceValue() 61 const char* units; member
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D | ATraceMemoryDump.cpp | 65 const char* units, uint64_t value) { in dumpNumericValue() argument 66 if (!strcmp(units, "bytes")) { in dumpNumericValue()
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D | ATraceMemoryDump.h | 35 void dumpNumericValue(const char* dumpName, const char* valueName, const char* units,
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/frameworks/base/core/java/android/view/ |
D | VelocityTracker.java | 45 private static native void nativeComputeCurrentVelocity(long ptr, int units, float maxVelocity); in nativeComputeCurrentVelocity() argument 137 public void computeCurrentVelocity(int units) { in computeCurrentVelocity() argument 138 nativeComputeCurrentVelocity(mPtr, units, Float.MAX_VALUE); in computeCurrentVelocity() 154 public void computeCurrentVelocity(int units, float maxVelocity) { in computeCurrentVelocity() argument 155 nativeComputeCurrentVelocity(mPtr, units, maxVelocity); in computeCurrentVelocity()
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/frameworks/base/core/java/android/text/format/ |
D | Formatter.java | 52 public final String units; field in Formatter.BytesResult 55 public BytesResult(String value, String units, long roundedBytes) { in BytesResult() argument 57 this.units = units; in BytesResult() 105 res.value, res.units)); in formatFileSize() 119 res.value, res.units)); in formatShortFileSize() 195 final String units = res.getString(suffix); in formatBytes() local 197 return new BytesResult(roundedString, units, roundedBytes); in formatBytes()
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/frameworks/base/core/jni/ |
D | android_view_VelocityTracker.cpp | 52 void computeCurrentVelocity(int32_t units, float maxVelocity); 81 void VelocityTrackerState::computeCurrentVelocity(int32_t units, float maxVelocity) { in computeCurrentVelocity() argument 91 vx = vx * units / 1000; in computeCurrentVelocity() 92 vy = vy * units / 1000; in computeCurrentVelocity() 174 jlong ptr, jint units, jfloat maxVelocity) { in android_view_VelocityTracker_nativeComputeCurrentVelocity() argument 176 state->computeCurrentVelocity(units, maxVelocity); in android_view_VelocityTracker_nativeComputeCurrentVelocity()
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/frameworks/native/cmds/bugreportz/ |
D | readme.md | 12 progress units out of a max of `<total>`).
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/frameworks/ml/nn/common/operations/ |
D | RNNTest.cpp | 133 BasicRNNOpModel(uint32_t batches, uint32_t units, uint32_t size) in BasicRNNOpModel() argument 134 : batches_(batches), units_(units), input_size_(size), activation_(kActivationRelu) { in BasicRNNOpModel()
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