650     Conv2dParam param;  in prepare()  local
651     NN_RET_CHECK(param.initialize(context));  in prepare()
654     uint32_t height = getSizeOfDimension(input, param.useNchw ? 2 : 1);  in prepare()
655     uint32_t width = getSizeOfDimension(input, param.useNchw ? 3 : 2);  in prepare()
656     uint32_t channels_in = getSizeOfDimension(input, param.useNchw ? 1 : 3);  in prepare()
668     int32_t effectiveFilterWidth = (filterWidth - 1) * param.dilation_width_factor + 1;  in prepare()
669     int32_t effectiveFilterHeight = (filterHeight - 1) * param.dilation_height_factor + 1;  in prepare()
670     NN_RET_CHECK_GT(effectiveFilterWidth, param.padding_left);  in prepare()
671     NN_RET_CHECK_GT(effectiveFilterWidth, param.padding_right);  in prepare()
672     NN_RET_CHECK_GT(effectiveFilterHeight, param.padding_top);  in prepare()
673     NN_RET_CHECK_GT(effectiveFilterHeight, param.padding_bottom);  in prepare()
676             computeOutSize(width, filterWidth, param.stride_width, param.dilation_width_factor,  in prepare()
677                            param.padding_left, param.padding_right);  in prepare()
679             computeOutSize(height, filterHeight, param.stride_height, param.dilation_height_factor,  in prepare()
680                            param.padding_top, param.padding_bottom);  in prepare()
684     if (param.useNchw) {  in prepare()
695     Conv2dParam param;  in execute()  local
696     NN_RET_CHECK(param.initialize(context));  in execute()
704                         context->getInputShape(kBiasTensor), param.padding_left,  in execute()
705                         param.padding_right, param.padding_top, param.padding_bottom,  in execute()
706                         param.stride_width, param.stride_height, param.dilation_width_factor,  in execute()
707                         param.dilation_height_factor, param.activation, param.useNchw,  in execute()
716                         context->getInputShape(kBiasTensor), param.padding_left,  in execute()
717                         param.padding_right, param.padding_top, param.padding_bottom,  in execute()
718                         param.stride_width, param.stride_height, param.dilation_width_factor,  in execute()
719                         param.dilation_height_factor, param.activation, param.useNchw,  in execute()
732                         context->getInputShape(kBiasTensor), param.padding_left,  in execute()
733                         param.padding_right, param.padding_top, param.padding_bottom,  in execute()
734                         param.stride_width, param.stride_height, param.dilation_width_factor,  in execute()
735                         param.dilation_height_factor, param.activation, param.useNchw,  in execute()
744                             context->getInputShape(kBiasTensor), param.padding_left,  in execute()
745                             param.padding_right, param.padding_top, param.padding_bottom,  in execute()
746                             param.stride_width, param.stride_height, param.dilation_width_factor,  in execute()
747                             param.dilation_height_factor, param.activation, param.useNchw,  in execute()
763                         context->getInputShape(kBiasTensor), param.padding_left,  in execute()
764                         param.padding_right, param.padding_top, param.padding_bottom,  in execute()
765                         param.stride_width, param.stride_height, param.dilation_width_factor,  in execute()
766                         param.dilation_height_factor, param.activation, param.useNchw,  in execute()
776                             context->getInputShape(kBiasTensor), param.padding_left,  in execute()
777                             param.padding_right, param.padding_top, param.padding_bottom,  in execute()
778                             param.stride_width, param.stride_height, param.dilation_width_factor,  in execute()
779                             param.dilation_height_factor, param.activation, param.useNchw,  in execute()