/packages/modules/NeuralNetworks/common/cpu_operations/ |
D | Activation.cpp | 73 const Shape& outputShape) { in relu1Float() 83 const Shape& outputShape) { in relu6Float() 144 const Shape& outputShape) { in reluQuant8() 150 const Shape& outputShape) { in relu1Quant8() 156 const Shape& outputShape) { in relu6Quant8() 162 const Shape& outputShape) { in tanhQuant8() 192 const Shape& outputShape) { in logisticQuant8() 239 const Shape& outputShape) { in reluQuant8Signed() 245 const Shape& outputShape) { in relu1Quant8Signed() 251 const Shape& outputShape) { in relu6Quant8Signed() [all …]
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D | Pooling.cpp | 144 float* outputData, const Shape& outputShape) { in averagePoolNhwc() 154 _Float16* outputData, const Shape& outputShape) { in averagePoolNhwc() 167 uint8_t* outputData, const Shape& outputShape) { in averagePoolNhwc() 177 int8_t* outputData, const Shape& outputShape) { in averagePoolNhwc() 190 float* outputData, const Shape& outputShape) { in l2PoolNhwc() 200 _Float16* outputData, const Shape& outputShape) { in l2PoolNhwc() 212 float* outputData, const Shape& outputShape) { in maxPoolNhwc() 222 uint8_t* outputData, const Shape& outputShape) { in maxPoolNhwc() 232 int8_t* outputData, const Shape& outputShape) { in maxPoolNhwc() 244 _Float16* outputData, const Shape& outputShape) { in maxPoolNhwc() [all …]
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D | Reshape.cpp | 50 T* outputData, const Shape& outputShape) { in depthToSpaceGeneric() 71 T* outputData, const Shape& outputShape) { in spaceToDepthGeneric() 92 T* outputData, const Shape& outputShape) { in padGeneric() 205 T* outputData, const Shape& outputShape) { in batchToSpaceGeneric() 231 const Shape& outputShape) { in spaceToBatchGeneric()
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D | FullyConnected.cpp | 55 float* outputData, const Shape& outputShape) { in fullyConnectedFloat32() 85 _Float16* outputData, const Shape& outputShape) { in fullyConnectedFloat16() 106 uint8_t* outputData, const Shape& outputShape) { in fullyConnectedQuant8() 147 int8_t* outputData, const Shape& outputShape) { in fullyConnectedQuant8()
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D | MaximumMinimum.cpp | 36 bool isMinimum, T* outputData, const Shape& outputShape) { in evalGeneric() 62 bool isMinimum, T* outputData, const Shape& outputShape) { in evalQuant8() 96 bool isMinimum, void* output, const Shape& outputShape) { in eval()
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D | Quantize.cpp | 36 bool quantizeToQuant8(const T* inputData, uint8_t* outputData, const Shape& outputShape) { in quantizeToQuant8() 49 bool quantizeToQuant8Signed(const T* inputData, int8_t* outputData, const Shape& outputShape) { in quantizeToQuant8Signed()
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D | SimpleMath.cpp | 41 const Shape& outputShape) { in meanFloat16() 55 bool keepDims, T* outputData, const Shape& outputShape) { in meanGeneric()
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D | Concatenation.cpp | 54 const Shape& outputShape) { in concatenation() 74 uint8_t* outputData, const Shape& outputShape) { in concatenation() 133 Shape outputShape(context->getOutputShape(kOutputTensor)); in concatenation() local
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D | ResizeImageOps.cpp | 62 bool halfPixelCenters, T* outputData, const Shape& outputShape) { in resizeNearestNeighbor() 106 const Shape& outputShape) { in resizeImageOpNhwc() 133 _Float16* outputData, const Shape& outputShape) { in resizeImageOpNhwc() 147 const Shape& outputShape) { in resizeImageOp()
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D | Cast.cpp | 45 const Shape& outputShape) { in copyToTensor() 73 const Shape& outputShape) { in eval()
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D | Pow.cpp | 35 const Shape& exponentShape, T* outputData, const Shape& outputShape) { in evalGeneric() 70 const Shape& exponentShape, void* outputData, const Shape& outputShape) { in eval()
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D | RoiPooling.cpp | 45 T_Input* outputData, const Shape& outputShape) { in roiPoolingNhwc() 134 bool useNchw, T_Input* outputData, const Shape& outputShape) { in roiPooling() 152 const Shape& outputShape) { in roiPooling() 167 const Shape& outputShape) { in roiPooling()
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D | L2Normalization.cpp | 138 const Shape& outputShape) { in l2normFloat32() 154 _Float16* outputData, const Shape& outputShape) { in l2normFloat16() 167 uint8_t* outputData, const Shape& outputShape) { in l2normQuant8() 183 int8_t* outputData, const Shape& outputShape) { in l2normQuant8Signed()
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D | Slice.cpp | 47 T* outputData, const Shape& outputShape) { in evalGeneric() 93 Shape outputShape = context->getOutputShape(kOutputTensor); in prepare() local
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D | StridedSlice.cpp | 49 int32_t shrinkAxisMask, T* outputData, const Shape& outputShape) { in compute() 158 Shape outputShape = context->getOutputShape(kOutputTensor); in prepare() local
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D | Conv2D.cpp | 196 float* outputData, const Shape& outputShape) { in convNhwc() 225 uint8_t* outputData, const Shape& outputShape) { in convNhwc() 279 int8_t* outputData, Shape outputShape) { in convNhwc() 308 _Float16* outputData, const Shape& outputShape) { in convNhwc() 335 const Shape& outputShape) { in conv() 356 const Shape& outputShape) { in convQuant8PerChannelNhwc() 449 const Shape& outputShape) { in convQuant8PerChannelNhwc() 512 T* outputData, const Shape& outputShape) { in convQuant8PerChannel()
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D | DepthwiseConv2D.cpp | 135 const Shape& outputShape) { in depthwiseConvNhwc() 169 _Float16* outputData, const Shape& outputShape) { in depthwiseConvNhwc() 195 const Shape& outputShape) { in depthwiseConvNhwc() 246 Shape outputShape) { in depthwiseConvNhwc() 279 int32_t depthMultiplier, int32_t activation, T* outputData, const Shape& outputShape) { in depthwiseConvQuant8PerChannelNhwc() 375 const Shape& outputShape) { in depthwiseConv() 398 T* outputData, const Shape& outputShape) { in depthwiseConvQuant8PerChannel()
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D | TransposeConv2D.cpp | 125 const Shape& outputShape) { in transposeConvNhwc() 181 const TransposeConv2dParam& param, T* outputData, const Shape& outputShape) { in transposeConvNhwc() 277 const Shape& outputShape) { in transposeConvNhwc() 300 const Shape& outputShape) { in transposeConv() 317 T* outputData, const Shape& outputShape) { in transposeConvQuant8PerChannelNhwc() 420 T* outputData, const Shape& outputShape) { in transposeConvQuant8PerChannel()
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D | PRelu.cpp | 46 const Shape& outputShape) { in eval() 69 T* outputData, const Shape& outputShape) { in evalQuant8()
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D | Softmax.cpp | 83 float* outputData, const Shape& outputShape) { in softmaxFloat32() 99 int32_t axis, _Float16* outputData, const Shape& outputShape) { in softmaxFloat16() 201 T* outputData, const Shape& outputShape) { in softmaxQuant8()
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D | Reverse.cpp | 56 Shape outputShape = context->getOutputShape(kOutputTensor); in prepare() local
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D | GroupedConv2D.cpp | 55 const Shape& outputShape) { in groupedConvFloat32() 113 const Shape& outputShape) { in groupedConvQuant8() 211 T* outputData, const Shape& outputShape) { in groupedConvQuant8PerChannel() 295 int32_t activation, _Float16* outputData, const Shape& outputShape) { in groupedConvFloat16()
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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() 155 const Shape& biasShape, const Shape& outputShape, in GetQuantizedConvolutionMultiplier() 170 const Shape& outputShape, double* multiplier) { in GetQuantizedConvolutionMultiplier() 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() 369 bool embeddingLookupPrepare(const Shape& valueShape, const Shape& lookupShape, Shape* outputShape) { in embeddingLookupPrepare() 388 const Shape& valueShape, Shape* outputShape, Shape* hitShape) { in hashtableLookupPrepare()
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/packages/modules/NeuralNetworks/common/types/operations/src/ |
D | Pack.cpp | 43 const Shape outputShape = context->getOutputShape(kOutputTensor); in validate() local
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D | Cast.cpp | 32 auto outputShape = context->getOutputShape(0); in validate() local
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