/frameworks/ml/nn/common/operations/ |
D | Activation.cpp | 52 bool reluFloat(const T* inputData, const Shape& inputShape, T* outputData, const Shape& outputShape, in reluFloat() 70 const Shape& outputShape) { in relu1Float() 80 const Shape& outputShape) { in relu6Float() 89 const Shape& outputShape) { in tanhFloat16() 99 const Shape& outputShape) { in tanhFloat32() 110 const Shape& outputShape) { in logisticFloat() 125 const Shape& outputShape) { in reluXQuant8() 141 const Shape& outputShape) { in reluQuant8() 147 const Shape& outputShape) { in relu1Quant8() 153 const Shape& outputShape) { in relu6Quant8() [all …]
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D | Pooling.cpp | 140 float* outputData, const Shape& outputShape) { in averagePoolNhwc() 150 _Float16* outputData, const Shape& outputShape) { in averagePoolNhwc() 163 uint8_t* outputData, const Shape& outputShape) { in averagePoolNhwc() 173 int8_t* outputData, const Shape& outputShape) { in averagePoolNhwc() 186 float* outputData, const Shape& outputShape) { in l2PoolNhwc() 196 _Float16* outputData, const Shape& outputShape) { in l2PoolNhwc() 208 float* outputData, const Shape& outputShape) { in maxPoolNhwc() 218 uint8_t* outputData, const Shape& outputShape) { in maxPoolNhwc() 228 int8_t* outputData, const Shape& outputShape) { in maxPoolNhwc() 240 _Float16* outputData, const Shape& outputShape) { in maxPoolNhwc() [all …]
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D | Reshape.cpp | 35 const Shape& outputShape) { in copyData() 44 T* outputData, const Shape& outputShape) { in depthToSpaceGeneric() 65 T* outputData, const Shape& outputShape) { in spaceToDepthGeneric() 86 T* outputData, const Shape& outputShape) { in padGeneric() 199 T* outputData, const Shape& outputShape) { in batchToSpaceGeneric() 225 const Shape& outputShape) { in spaceToBatchGeneric()
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D | L2Normalization.cpp | 48 float* outputData, const Shape& outputShape) { in l2normFloat32Impl() 76 uint8_t* outputData, const Shape& outputShape) { in l2normQuant8Impl() 108 int8_t* outputData, const Shape& outputShape) { in l2normQuant8SignedImpl() 139 const Shape& outputShape) { in l2normFloat32() 155 _Float16* outputData, const Shape& outputShape) { in l2normFloat16() 168 uint8_t* outputData, const Shape& outputShape) { in l2normQuant8() 184 int8_t* outputData, const Shape& outputShape) { in l2normQuant8Signed()
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D | SimpleMath.cpp | 35 const Shape& outputShape) { in meanFloat16() 49 bool keepDims, T* outputData, const Shape& outputShape) { in meanGeneric()
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D | MaximumMinimum.cpp | 38 bool isMinimum, T* outputData, const Shape& outputShape) { in evalGeneric() 64 bool isMinimum, T* outputData, const Shape& outputShape) { in evalQuant8() 98 bool isMinimum, void* output, const Shape& outputShape) { in eval()
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D | ArgMinMax.cpp | 34 Out* outputData, const Shape& outputShape) { in argMinMaxImpl() 56 uint8_t* outputData, const Shape& outputShape) { in argMinMaxGeneric()
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D | Cast.cpp | 48 const Shape& outputShape) { in copyToTensor() 76 const Shape& outputShape) { in eval()
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D | Pow.cpp | 36 const Shape& exponentShape, T* outputData, const Shape& outputShape) { in evalGeneric() 71 const Shape& exponentShape, void* outputData, const Shape& outputShape) { in eval()
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D | Quantize.cpp | 43 bool quantizeToQuant8(const T* inputData, uint8_t* outputData, const Shape& outputShape) { in quantizeToQuant8() 55 bool quantizeToQuant8Signed(const T* inputData, int8_t* outputData, const Shape& outputShape) { in quantizeToQuant8Signed()
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D | Softmax.cpp | 51 int32_t axis, float* outputData, const Shape& outputShape) { in softmaxSlowFloat32() 83 float* outputData, const Shape& outputShape) { in softmaxFloat32() 99 int32_t axis, _Float16* outputData, const Shape& outputShape) { in softmaxFloat16() 115 T* outputData, const Shape& outputShape) { in softmaxQuant8Impl() 201 T* outputData, const Shape& outputShape) { in softmaxQuant8()
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D | Concatenation.cpp | 50 const Shape& outputShape) { in concatenation() 70 uint8_t* outputData, const Shape& outputShape) { in concatenation() 129 Shape outputShape(context->getOutputShape(kOutputTensor)); in concatenation() local
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D | FullyConnected.cpp | 58 float* outputData, const Shape& outputShape) { in fullyConnectedFloat32() 88 _Float16* outputData, const Shape& outputShape) { in fullyConnectedFloat16() 109 uint8_t* outputData, const Shape& outputShape) { in fullyConnectedQuant8() 150 int8_t* outputData, const Shape& outputShape) { in fullyConnectedQuant8()
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D | LocalResponseNormalization.cpp | 53 const Shape& outputShape) { in localResponseNormFloat32Impl() 87 const Shape& outputShape) { in localResponseNorm() 108 _Float16* outputData, const Shape& outputShape) { in localResponseNorm()
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D | ResizeImageOps.cpp | 67 bool halfPixelCenters, T* outputData, const Shape& outputShape) { in resizeNearestNeighbor() 111 const Shape& outputShape) { in resizeImageOpNhwc() 138 _Float16* outputData, const Shape& outputShape) { in resizeImageOpNhwc() 152 const Shape& outputShape) { in resizeImageOp()
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D | Tile.cpp | 72 const Shape& outputShape) { in tileImpl() 93 uint8_t* outputData, const Shape& outputShape) { in eval()
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D | RoiPooling.cpp | 57 T_Input* outputData, const Shape& outputShape) { in roiPoolingNhwc() 146 bool useNchw, T_Input* outputData, const Shape& outputShape) { in roiPooling() 164 const Shape& outputShape) { in roiPooling() 179 const Shape& outputShape) { in roiPooling()
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D | ExpandDims.cpp | 41 const Shape& outputShape) { in eval()
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D | Slice.cpp | 54 T* outputData, const Shape& outputShape) { in evalGeneric() 121 Shape outputShape = context->getOutputShape(kOutputTensor); in prepare() local
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D | InstanceNormalization.cpp | 49 T epsilon, T* outputData, const Shape& outputShape) { in instanceNormNhwc() 92 bool useNchw, T* outputData, const Shape& outputShape) { in instanceNorm()
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D | Conv2D.cpp | 182 float* outputData, const Shape& outputShape) { in convNhwc() 207 uint8_t* outputData, const Shape& outputShape) { in convNhwc() 256 int8_t* outputData, Shape outputShape) { in convNhwc() 285 _Float16* outputData, const Shape& outputShape) { in convNhwc() 312 const Shape& outputShape) { in conv() 333 const Shape& outputShape) { in convQuant8PerChannelNhwc() 426 const Shape& outputShape) { in convQuant8PerChannelNhwc() 489 T* outputData, const Shape& outputShape) { in convQuant8PerChannel()
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D | TransposeConv2D.cpp | 128 const Shape& outputShape) { in transposeConvNhwc() 184 const TransposeConv2dParam& param, T* outputData, const Shape& outputShape) { in transposeConvNhwc() 280 const Shape& outputShape) { in transposeConvNhwc() 303 const Shape& outputShape) { in transposeConv() 320 T* outputData, const Shape& outputShape) { in transposeConvQuant8PerChannelNhwc() 423 T* outputData, const Shape& outputShape) { in transposeConvQuant8PerChannel()
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D | StridedSlice.cpp | 54 int32_t shrinkAxisMask, T* outputData, const Shape& outputShape) { in compute() 199 Shape outputShape = context->getOutputShape(kOutputTensor); in prepare() local
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D | PRelu.cpp | 48 const Shape& outputShape) { in eval() 71 T* outputData, const Shape& outputShape) { in evalQuant8()
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D | DepthwiseConv2D.cpp | 137 const Shape& outputShape) { in depthwiseConvNhwc() 171 _Float16* outputData, const Shape& outputShape) { in depthwiseConvNhwc() 197 const Shape& outputShape) { in depthwiseConvNhwc() 248 Shape outputShape) { in depthwiseConvNhwc() 281 int32_t depthMultiplier, int32_t activation, T* outputData, const Shape& outputShape) { in depthwiseConvQuant8PerChannelNhwc() 377 const Shape& outputShape) { in depthwiseConv() 400 T* outputData, const Shape& outputShape) { in depthwiseConvQuant8PerChannel()
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