| /aosp12/packages/modules/NeuralNetworks/common/operations/ |
| H A D | Broadcast.cpp | 97 int32_t activation, float* out, const Shape& shapeOut) { in addFloat32()
124 int32_t activation, _Float16* out, const Shape& shapeOut) { in addFloat16()
131 int32_t activation, T* out, const Shape& shapeOut) { in addQuant8()
236 int32_t activation, float* out, const Shape& shapeOut) { in mulFloat32()
263 int32_t activation, _Float16* out, const Shape& shapeOut) { in mulFloat16()
270 int32_t activation, T* out, const Shape& shapeOut) { in mulQuant8()
317 int32_t activation, float* out, const Shape& shapeOut) { in subFloat32()
334 int32_t activation, _Float16* out, const Shape& shapeOut) { in subFloat16()
341 int32_t activation, T* out, const Shape& shapeOut) { in subQuant8()
413 int32_t activation, float* out, const Shape& shapeOut) { in divFloat32()
[all …]
|
| H A D | FullyConnected.cpp | 58 const float* biasData, const Shape& biasShape, int32_t activation, in fullyConnectedFloat32()
88 const _Float16* biasData, const Shape& biasShape, int32_t activation, in fullyConnectedFloat16()
109 const int32_t* biasData, const Shape& biasShape, int32_t activation, in fullyConnectedQuant8()
150 const int32_t* biasData, const Shape& biasShape, int32_t activation, in fullyConnectedQuant8()
|
| H A D | Conv2D.cpp | 68 int32_t activation; member
198 int32_t dilation_width_factor, int32_t dilation_height_factor, int32_t activation, in convNhwc()
227 int32_t dilation_width_factor, int32_t dilation_height_factor, int32_t activation, in convNhwc()
281 int32_t dilation_width_factor, int32_t dilation_height_factor, int32_t activation, in convNhwc()
310 int32_t dilation_width_factor, int32_t dilation_height_factor, int32_t activation, in convNhwc()
337 int32_t dilation_height_factor, int32_t activation, bool useNchw, T_Input* outputData, in conv()
358 int32_t dilationHeightFactor, int32_t activation, uint8_t* outputData, in convQuant8PerChannelNhwc()
451 int32_t dilationHeightFactor, int32_t activation, int8_t* outputData, in convQuant8PerChannelNhwc()
514 int32_t dilationHeightFactor, int32_t activation, bool useNchw, in convQuant8PerChannel()
|
| H A D | DepthwiseConv2D.cpp | 55 int32_t activation; member
138 int32_t depthMultiplier, int32_t activation, float* outputData, in depthwiseConvNhwc()
172 int32_t dilationHeightFactor, int32_t depthMultiplier, int32_t activation, in depthwiseConvNhwc()
198 int32_t depthMultiplier, int32_t activation, uint8_t* outputData, in depthwiseConvNhwc()
249 int32_t depthMultiplier, int32_t activation, int8_t* outputData, in depthwiseConvNhwc()
283 int32_t depthMultiplier, int32_t activation, T* outputData, const Shape& outputShape) { in depthwiseConvQuant8PerChannelNhwc()
378 int32_t depthMultiplier, int32_t activation, bool useNchw, T_Input* outputData, in depthwiseConv()
401 int32_t depthMultiplier, int32_t activation, bool useNchw, in depthwiseConvQuant8PerChannel()
|
| H A D | GroupedConv2D.cpp | 50 int32_t numGroups, int32_t activation, float* outputData, in groupedConvFloat32()
108 int32_t numGroups, int32_t activation, T* outputData, in groupedConvQuant8()
206 int32_t activation, T* outputData, const Shape& outputShape) { in groupedConvQuant8PerChannel()
290 int32_t activation, _Float16* outputData, const Shape& outputShape) { in groupedConvFloat16()
|
| H A D | RNN.cpp | 119 const int32_t activation, T* outputData) { in RNNStep()
140 const Shape& recurrentWeightsShape, const int32_t activation, in RNNStep()
|
| H A D | UnidirectionalSequenceRNN.cpp | 74 int32_t activation = context->getInputValue<int32_t>(kActivationParam); in executeTyped() local
|
| H A D | LSTM.h | 33 TfLiteFusedActivation activation; member
|
| H A D | SVDFTest.cpp | 266 int activation = TfLiteFusedActivation::kTfLiteActNone; in Invoke() local
|
| /aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_2/ |
| H A D | sub_v1_2_broadcast.mod.py | 20 activation = Int32Scalar("act", 0) variable
41 activation = 0 variable
|
| H A D | sub_v1_2.mod.py | 24 activation = Int32Scalar("act", 0) variable
40 activation = 0 variable
|
| H A D | unidirectional_sequence_rnn.mod.py | 20 activation, time_major, output, input_data, weights_data, argument
|
| H A D | bidirectional_sequence_rnn.mod.py | 40 bw_hidden_state, aux_input, fw_aux_weights, bw_aux_weights, activation, argument
|
| /aosp12/packages/modules/NeuralNetworks/runtime/test/ |
| H A D | TestMemory.cpp | 62 int32_t activation(0); in TEST_F() local
125 int32_t activation(0); in TEST_F() local
|
| H A D | TestTrivialModel.cpp | 275 auto activation = modelBroadcastAdd2.addConstantOperand(&scalarType, kNoActivation); in TEST_F() local
304 auto activation = modelBroadcastMul2.addConstantOperand(&scalarType, kNoActivation); in TEST_F() local
|
| H A D | TestMemoryInternal.cpp | 119 int32_t activation(0); in TEST_F() local
|
| H A D | TestValidateOperations.cpp | 1846 ANeuralNetworksOperandType activation = scalar; in poolingOpTest() local
2137 ANeuralNetworksOperandType activation = scalar; in convOpTest() local
2271 ANeuralNetworksOperandType activation = scalar; in depthwiseConvOpTest() local
2639 ANeuralNetworksOperandType activation = intScalar; in TEST() local
2723 ANeuralNetworksOperandType activation = intScalar; in lstmTestV1_2() local
2867 ANeuralNetworksOperandType activation = intScalar; in lstmBidirectionalSequence() local
3023 ANeuralNetworksOperandType activation = intScalar; in TEST() local
3058 ANeuralNetworksOperandType activation = intScalar; in TEST() local
3094 ANeuralNetworksOperandType activation = intScalar; in TEST() local
3131 ANeuralNetworksOperandType activation = intScalar; in TEST() local
[all …]
|
| /aosp12/packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
| H A D | sub_quant8_signed.mod.py | 67 activation = 0 variable
89 activation = 0 variable
|
| H A D | unidirectional_sequence_rnn.mod.py | 20 activation, time_major, output, output_state, input_data, weights_data, argument
|
| H A D | bidirectional_sequence_rnn_1_3.mod.py | 40 bw_hidden_state, aux_input, fw_aux_weights, bw_aux_weights, activation, argument
|
| H A D | bidirectional_sequence_rnn_state_output.mod.py | 44 fw_aux_weights, bw_aux_weights, activation, time_major, merge_outputs, argument
|
| /aosp12/packages/modules/StatsD/statsd/src/ |
| H A D | active_config_list.proto | 45 repeated ActiveEventActivation activation = 2; field
|
| /aosp12/packages/modules/StatsD/statsd/src/metrics/ |
| H A D | MetricProducer.cpp | 206 auto& activation = it->second; in activateLocked() local
245 auto& activation = it->second; in loadActiveMetricLocked() local
266 const std::shared_ptr<Activation>& activation = it.second; in writeActiveMetricToProtoOutputStream() local
|
| /aosp12/packages/modules/NeuralNetworks/driver/sample/ |
| H A D | SampleDriverFloatXNNPACK.cpp | 592 int activation = getScalarData<int32_t>(operands[ins[2]]); in VisitAddNode() local
635 int32_t stride_width, stride_height, filter_width, filter_height, activation; in VisitAveragePool2DNode() local
722 int32_t stride_width, stride_height, activation; in VisitConv2DNode() local
822 int32_t stride_width, stride_height, depth_multiplier, activation; in VisitDepthwiseConv2DNode() local
905 int activation = getScalarData<int32_t>(operands[ins[2]]); in VisitDivNode() local
939 int activation = getScalarData<int32_t>(operands[ins[3]]); in VisitFullyConnectedNode() local
1048 int32_t stride_width, stride_height, filter_width, filter_height, activation; in VisitMaxPool2DNode() local
1120 int activation = getScalarData<int32_t>(operands[ins[2]]); in VisitMaximumNode() local
1195 int activation = getScalarData<int32_t>(operands[ins[2]]); in VisitMinimumNode() local
1223 int activation = getScalarData<int32_t>(operands[ins[2]]); in VisitMulNode() local
[all …]
|
| /aosp12/packages/modules/NeuralNetworks/common/ |
| H A D | OperationsUtils.cpp | 48 void CalculateActivationRangeImpl(int32_t activation, const Shape& outputShape, int32_t qmin, in CalculateActivationRangeImpl()
271 void CalculateActivationRangeUint8(int32_t activation, const Shape& outputShape, int32_t* act_min, in CalculateActivationRangeUint8()
279 void CalculateActivationRangeInt8(int32_t activation, const Shape& outputShape, int32_t* act_min, in CalculateActivationRangeInt8()
287 void CalculateActivationRangeFloat(int32_t activation, float* activation_min, in CalculateActivationRangeFloat()
|