| /packages/modules/NeuralNetworks/common/cpu_operations/ |
| D | Broadcast.cpp | 80 const Shape& shape2, int32_t activation, _Float16* out, in binaryOperationFloat16()
96 int32_t activation, float* out, const Shape& shapeOut) { in addFloat32()
101 #define ANDROID_NN_BROADCAST_ADD(activation) \ in addFloat32() argument
110 #define ANDROID_NN_ADD(activation) \ in addFloat32() argument
123 int32_t activation, _Float16* out, const Shape& shapeOut) { in addFloat16()
130 int32_t activation, T* out, const Shape& shapeOut) { in addQuant8()
211 const Shape& bShape, int32_t activation, int32_t* outputData, in executeInt32()
235 int32_t activation, float* out, const Shape& shapeOut) { in mulFloat32()
241 #define ANDROID_NN_BROADCAST_MUL(activation) \ in mulFloat32() argument
262 int32_t activation, _Float16* out, const Shape& shapeOut) { in mulFloat16()
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| D | FullyConnected.cpp | 54 const float* biasData, const Shape& biasShape, int32_t activation, in fullyConnectedFloat32()
84 const _Float16* biasData, const Shape& biasShape, int32_t activation, in fullyConnectedFloat16()
105 const int32_t* biasData, const Shape& biasShape, int32_t activation, in fullyConnectedQuant8()
146 const int32_t* biasData, const Shape& biasShape, int32_t activation, in fullyConnectedQuant8()
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| D | Conv2D.cpp | 66 int32_t activation; member
195 int32_t dilation_width_factor, int32_t dilation_height_factor, int32_t activation, in convNhwc()
224 int32_t dilation_width_factor, int32_t dilation_height_factor, int32_t activation, in convNhwc()
278 int32_t dilation_width_factor, int32_t dilation_height_factor, int32_t activation, in convNhwc()
307 int32_t dilation_width_factor, int32_t dilation_height_factor, int32_t activation, in convNhwc()
334 int32_t dilation_height_factor, int32_t activation, bool useNchw, T_Input* outputData, in conv()
355 int32_t dilationHeightFactor, int32_t activation, uint8_t* outputData, in convQuant8PerChannelNhwc()
448 int32_t dilationHeightFactor, int32_t activation, int8_t* outputData, in convQuant8PerChannelNhwc()
511 int32_t dilationHeightFactor, int32_t activation, bool useNchw, in convQuant8PerChannel()
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| D | DepthwiseConv2D.cpp | 51 int32_t activation; member
134 int32_t depthMultiplier, int32_t activation, float* outputData, in depthwiseConvNhwc()
168 int32_t dilationHeightFactor, int32_t depthMultiplier, int32_t activation, in depthwiseConvNhwc()
194 int32_t depthMultiplier, int32_t activation, uint8_t* outputData, in depthwiseConvNhwc()
245 int32_t depthMultiplier, int32_t activation, int8_t* outputData, in depthwiseConvNhwc()
279 int32_t depthMultiplier, int32_t activation, T* outputData, const Shape& outputShape) { in depthwiseConvQuant8PerChannelNhwc()
374 int32_t depthMultiplier, int32_t activation, bool useNchw, T_Input* outputData, in depthwiseConv()
397 int32_t depthMultiplier, int32_t activation, bool useNchw, in depthwiseConvQuant8PerChannel()
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| D | GroupedConv2D.cpp | 54 int32_t numGroups, int32_t activation, float* outputData, in groupedConvFloat32()
112 int32_t numGroups, int32_t activation, T* outputData, in groupedConvQuant8()
210 int32_t stride_height, int32_t numGroups, int32_t activation, in groupedConvQuant8PerChannel()
295 int32_t activation, _Float16* outputData, const Shape& outputShape) { in groupedConvFloat16()
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| D | RNN.cpp | 119 const int32_t activation, T* outputData) { in RNNStep()
140 const Shape& recurrentWeightsShape, const int32_t activation, in RNNStep()
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| D | UnidirectionalSequenceRNN.cpp | 62 int32_t activation = context->getInputValue<int32_t>(kActivationParam); in executeTyped() local
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_2/ |
| D | sub_v1_2_broadcast.mod.py | 20 activation = Int32Scalar("act", 0) variable
41 activation = 0 variable
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| D | sub_v1_2.mod.py | 24 activation = Int32Scalar("act", 0) variable
40 activation = 0 variable
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| D | unidirectional_sequence_rnn.mod.py | 20 activation, time_major, output, input_data, weights_data, argument
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| D | bidirectional_sequence_rnn.mod.py | 40 bw_hidden_state, aux_input, fw_aux_weights, bw_aux_weights, activation, argument
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
| D | sub_quant8_signed.mod.py | 67 activation = 0 variable
89 activation = 0 variable
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| D | unidirectional_sequence_rnn.mod.py | 20 activation, time_major, output, output_state, input_data, weights_data, argument
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| D | bidirectional_sequence_rnn_1_3.mod.py | 40 bw_hidden_state, aux_input, fw_aux_weights, bw_aux_weights, activation, argument
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| D | bidirectional_sequence_rnn_state_output.mod.py | 44 fw_aux_weights, bw_aux_weights, activation, time_major, merge_outputs, argument
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| /packages/modules/NeuralNetworks/runtime/test/ |
| D | TestMemory.cpp | 67 int32_t activation(0); in TEST_F() local
130 int32_t activation(0); in TEST_F() local
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| D | TestTrivialModel.cpp | 287 auto activation = modelBroadcastAdd2.addConstantOperand(&scalarType, kNoActivation); in TEST_F() local
316 auto activation = modelBroadcastMul2.addConstantOperand(&scalarType, kNoActivation); in TEST_F() local
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| /packages/modules/NeuralNetworks/runtime/operation_converters/ |
| D | AddOperationConverter.cpp | 43 FusedActivationFunc activation = static_cast<FusedActivationFunc>( in convert() local
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| D | DepthwiseConv2DOperationConverter.cpp | 81 FusedActivationFunc activation = static_cast<FusedActivationFunc>( in convert() local
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| /packages/modules/StatsD/statsd/src/ |
| D | active_config_list.proto | 45 repeated ActiveEventActivation activation = 2; field
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| /packages/modules/StatsD/statsd/src/metrics/ |
| D | MetricProducer.cpp | 222 auto& activation = it->second; in activateLocked() local
263 auto& activation = it->second; in loadActiveMetricLocked() local
284 const std::shared_ptr<Activation>& activation = it.second; in writeActiveMetricToProtoOutputStream() local
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| /packages/modules/NeuralNetworks/driver/sample_hidl/ |
| D | SampleDriverFloatXNNPACK.cpp | 318 static V1_3::ErrorStatus ConvertActivationToOutputRange(int activation, float* outputMin, in ConvertActivationToOutputRange()
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
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| /packages/modules/NeuralNetworks/common/types/operations/src/ |
| D | Activation.cpp | 22 namespace activation { namespace
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| /packages/modules/NeuralNetworks/runtime/ |
| D | FlatbufferModelBuilderUtils.h | 106 inline Result<tflite::ActivationFunctionType> getTfliteActivation(FusedActivationFunc activation) { in getTfliteActivation()
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| /packages/modules/NeuralNetworks/common/ |
| D | OperationsExecutionUtils.cpp | 37 void CalculateActivationRangeImpl(int32_t activation, const Shape& outputShape, int32_t qmin, in CalculateActivationRangeImpl()
180 void CalculateActivationRangeUint8(int32_t activation, const Shape& outputShape, int32_t* act_min, in CalculateActivationRangeUint8()
188 void CalculateActivationRangeInt8(int32_t activation, const Shape& outputShape, int32_t* act_min, in CalculateActivationRangeInt8()
196 void CalculateActivationRangeFloat(int32_t activation, float* activation_min, in CalculateActivationRangeFloat()
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