ONE - On-device Neural Engine
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#include <Types.h>
Data Fields | |
int16_t | width |
int16_t | height |
int16_t nnfw::cker::PaddingValues::height |
Definition at line 75 of file Types.h.
Referenced by nnfw::cker::AveragePool16(), nnfw::cker::train::AveragePool2DGrad(), nnfw::cker::AveragePool32(), nnfw::cker::AveragePool< float >(), nnfw::cker::AveragePool< int8_t >(), nnfw::cker::train::backpropFilter(), nnfw::cker::train::backpropInput(), nnfw::cker::reference::Conv(), nnfw::cker::multithreaded::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::train::ConvFilterGrad(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convFloat32(), nnfw::cker::train::ConvInputGrad(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8iHybridPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::DepthwiseConvOp(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), nnfw::cker::optimized::DilatedIm2col(), nnfw::cker::reference::HybridConvPerChannel(), nnfw::cker::optimized::Im2col(), nnfw::cker::train::MaxPool2D(), nnfw::cker::MaxPool< float >(), nnfw::cker::MaxPool< uint8_t >(), and nnfw::cker::TransposeConv().
int16_t nnfw::cker::PaddingValues::width |
Definition at line 74 of file Types.h.
Referenced by nnfw::cker::AveragePool16(), nnfw::cker::train::AveragePool2DGrad(), nnfw::cker::AveragePool32(), nnfw::cker::AveragePool< float >(), nnfw::cker::AveragePool< int8_t >(), nnfw::cker::train::backpropFilter(), nnfw::cker::train::backpropInput(), nnfw::cker::reference::Conv(), nnfw::cker::multithreaded::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::reference::Conv(), nnfw::cker::train::ConvFilterGrad(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convFloat32(), nnfw::cker::train::ConvInputGrad(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8i(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8iHybridPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerChannel(), onert::backend::cpu::ops::DepthwiseConvolutionLayer::convQ8uPerTensor(), nnfw::cker::optimized_integer_ops::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::optimized::depthwise_conv::DepthwiseConvGeneral(), nnfw::cker::reference_integer_ops::DepthwiseConvHybridPerChannel(), nnfw::cker::optimized::DepthwiseConvImpl(), nnfw::cker::DepthwiseConvOp(), nnfw::cker::reference_integer_ops::DepthwiseConvPerChannel(), nnfw::cker::optimized_integer_ops::DepthwiseConvWithRounding(), nnfw::cker::optimized::DilatedIm2col(), nnfw::cker::reference::HybridConvPerChannel(), nnfw::cker::optimized::Im2col(), nnfw::cker::train::MaxPool2D(), nnfw::cker::MaxPool< float >(), nnfw::cker::MaxPool< uint8_t >(), and nnfw::cker::TransposeConv().