551     Conv2dParam param;  in prepare()  local
552     NN_RET_CHECK(param.initialize(context));  in prepare()
555     uint32_t height = getSizeOfDimension(input, param.useNchw ? 2 : 1);  in prepare()
556     uint32_t width = getSizeOfDimension(input, param.useNchw ? 3 : 2);  in prepare()
557     uint32_t channels_in = getSizeOfDimension(input, param.useNchw ? 1 : 3);  in prepare()
569     int32_t effectiveFilterWidth = (filterWidth - 1) * param.dilation_width_factor + 1;  in prepare()
570     int32_t effectiveFilterHeight = (filterHeight - 1) * param.dilation_height_factor + 1;  in prepare()
571     NN_RET_CHECK_GT(effectiveFilterWidth, param.padding_left);  in prepare()
572     NN_RET_CHECK_GT(effectiveFilterWidth, param.padding_right);  in prepare()
573     NN_RET_CHECK_GT(effectiveFilterHeight, param.padding_top);  in prepare()
574     NN_RET_CHECK_GT(effectiveFilterHeight, param.padding_bottom);  in prepare()
577             computeOutSize(width, filterWidth, param.stride_width, param.dilation_width_factor,  in prepare()
578                            param.padding_left, param.padding_right);  in prepare()
580             computeOutSize(height, filterHeight, param.stride_height, param.dilation_height_factor,  in prepare()
581                            param.padding_top, param.padding_bottom);  in prepare()
585     if (param.useNchw) {  in prepare()
596     Conv2dParam param;  in execute()  local
597     NN_RET_CHECK(param.initialize(context));  in execute()
605                         context->getInputShape(kBiasTensor), param.padding_left,  in execute()
606                         param.padding_right, param.padding_top, param.padding_bottom,  in execute()
607                         param.stride_width, param.stride_height, param.dilation_width_factor,  in execute()
608                         param.dilation_height_factor, param.activation, param.useNchw,  in execute()
617                         context->getInputShape(kBiasTensor), param.padding_left,  in execute()
618                         param.padding_right, param.padding_top, param.padding_bottom,  in execute()
619                         param.stride_width, param.stride_height, param.dilation_width_factor,  in execute()
620                         param.dilation_height_factor, param.activation, param.useNchw,  in execute()
635                         context->getInputShape(kBiasTensor), param.padding_left,  in execute()
636                         param.padding_right, param.padding_top, param.padding_bottom,  in execute()
637                         param.stride_width, param.stride_height, param.dilation_width_factor,  in execute()
638                         param.dilation_height_factor, param.activation, param.useNchw,  in execute()
647                             context->getInputShape(kBiasTensor), param.padding_left,  in execute()
648                             param.padding_right, param.padding_top, param.padding_bottom,  in execute()
649                             param.stride_width, param.stride_height, param.dilation_width_factor,  in execute()
650                             param.dilation_height_factor, param.activation, param.useNchw,  in execute()
668                         context->getInputShape(kBiasTensor), param.padding_left,  in execute()
669                         param.padding_right, param.padding_top, param.padding_bottom,  in execute()
670                         param.stride_width, param.stride_height, param.dilation_width_factor,  in execute()
671                         param.dilation_height_factor, param.activation, param.useNchw,  in execute()
681                             context->getInputShape(kBiasTensor), param.padding_left,  in execute()
682                             param.padding_right, param.padding_top, param.padding_bottom,  in execute()
683                             param.stride_width, param.stride_height, param.dilation_width_factor,  in execute()
684                             param.dilation_height_factor, param.activation, param.useNchw,  in execute()