56     bool useNchw = false;  member
69                 useNchw = context->getInputValue<bool>(8);  in initialize()
86                 useNchw = context->getInputValue<bool>(11);  in initialize()
98             int32_t input_width = getSizeOfDimension(inputShape, useNchw ? 3 : 2);  in initialize()
99             int32_t input_height = getSizeOfDimension(inputShape, useNchw ? 2 : 1);  in initialize()
378                    int32_t depthMultiplier, int32_t activation, bool useNchw, T_Input* outputData,  in depthwiseConv()  argument
380     InputWithLayout<T_Input> input(useNchw);  in depthwiseConv()
381     OutputWithLayout<T_Input> output(useNchw);  in depthwiseConv()
401                                    int32_t depthMultiplier, int32_t activation, bool useNchw,  in depthwiseConvQuant8PerChannel()  argument
403     InputWithLayout<T> input(useNchw);  in depthwiseConvQuant8PerChannel()
404     OutputWithLayout<T> output(useNchw);  in depthwiseConvQuant8PerChannel()
546     uint32_t height = getSizeOfDimension(input, param.useNchw ? 2 : 1);  in prepare()
547     uint32_t width = getSizeOfDimension(input, param.useNchw ? 3 : 2);  in prepare()
548     uint32_t channels_in = getSizeOfDimension(input, param.useNchw ? 1 : 3);  in prepare()
570     if (param.useNchw) {  in prepare()
594                                  param.depth_multiplier, param.activation, param.useNchw,  in execute()
607                                  param.depth_multiplier, param.activation, param.useNchw,  in execute()
626                         param.useNchw, context->getOutputBuffer<uint8_t>(kOutputTensor),  in execute()
638                                      param.depth_multiplier, param.activation, param.useNchw,  in execute()
660                         param.useNchw, context->getOutputBuffer<int8_t>(kOutputTensor),  in execute()
673                                      param.depth_multiplier, param.activation, param.useNchw,  in execute()