Searched refs:outputDepth (Results 1 – 5 of 5) sorted by relevance
/frameworks/ml/nn/common/operations/ |
D | TransposeConv2D.cpp | 119 uint32_t outputDepth = getSizeOfDimension(outputShape, 3); \ 146 for (uint32_t k = 0; k < outputDepth; k++) { in transposeConvNhwc() 154 uint32_t outputIndex = hOutput * outputWidth * outputDepth + in transposeConvNhwc() 155 wOutput * outputDepth + k; in transposeConvNhwc() 166 outputBase += outputHeight * outputWidth * outputDepth; in transposeConvNhwc() 172 for (uint32_t d = 0; d < outputDepth; d++, outPtr++) { in transposeConvNhwc() 234 for (uint32_t k = 0; k < outputDepth; k++) { in transposeConvNhwc() 242 uint32_t outputIndex = hOutput * outputWidth * outputDepth + in transposeConvNhwc() 243 wOutput * outputDepth + k; in transposeConvNhwc() 257 outputBase += outputHeight * outputWidth * outputDepth; in transposeConvNhwc() [all …]
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D | Reshape.cpp | 119 const int outputDepth = extOutputShape.Dims(3); in padGeneric() local 127 outputData, padValue, leftBPadding * outputHeight * outputWidth * outputDepth); in padGeneric() 133 leftHPadding * outputWidth * outputDepth); in padGeneric() 139 leftWPadding * outputDepth); in padGeneric() 158 outputDepth - rightDPadding), in padGeneric() 166 padValue, rightWPadding * outputDepth); in padGeneric() 173 padValue, rightHPadding * outputWidth * outputDepth); in padGeneric() 179 padValue, rightBPadding * outputHeight * outputWidth * outputDepth); in padGeneric()
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D | GroupedConv2D.cpp | 43 uint32_t outputDepth = getSizeOfDimension(outputShape, 3); \ 44 uint32_t outputGroupDepth = outputDepth / numGroups; 213 auto realMultiplier = std::vector<double>(outputDepth, .0f); in groupedConvQuant8PerChannel() 214 auto outputMultiplier = std::vector<int32_t>(outputDepth, 0); in groupedConvQuant8PerChannel() 215 auto outputShift = std::vector<int32_t>(outputDepth, 0); in groupedConvQuant8PerChannel() 217 for (int i = 0; i < outputDepth; ++i) { in groupedConvQuant8PerChannel()
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D | Conv2D.cpp | 370 uint32_t outputDepth = getSizeOfDimension(outputShape, 3); in convQuant8PerChannelNhwc() local 375 auto realMultiplier = std::vector<double>(outputDepth, .0f); in convQuant8PerChannelNhwc() 376 auto outputMultiplier = std::vector<int32_t>(outputDepth, 0); in convQuant8PerChannelNhwc() 377 auto outputShift = std::vector<int32_t>(outputDepth, .0f); in convQuant8PerChannelNhwc() 379 for (int i = 0; i < outputDepth; ++i) { in convQuant8PerChannelNhwc() 401 for (uint32_t d = 0; d < outputDepth; d++) { in convQuant8PerChannelNhwc() 435 outPtr += outputDepth; in convQuant8PerChannelNhwc() 463 uint32_t outputDepth = getSizeOfDimension(outputShape, 3); in convQuant8PerChannelNhwc() local 468 auto realMultiplier = std::vector<double>(outputDepth, .0f); in convQuant8PerChannelNhwc() 469 auto outputMultiplier = std::vector<int32_t>(outputDepth, 0); in convQuant8PerChannelNhwc() [all …]
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D | DepthwiseConv2D.cpp | 296 uint32_t outputDepth = getSizeOfDimension(outputShape, 3); in depthwiseConvQuant8PerChannelNhwc() local 301 auto realMultiplier = std::vector<double>(outputDepth, .0f); in depthwiseConvQuant8PerChannelNhwc() 302 auto outputMultiplier = std::vector<int32_t>(outputDepth, 0); in depthwiseConvQuant8PerChannelNhwc() 303 auto outputShift = std::vector<int32_t>(outputDepth, .0f); in depthwiseConvQuant8PerChannelNhwc() 305 for (int i = 0; i < outputDepth; ++i) { in depthwiseConvQuant8PerChannelNhwc()
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