This is a short Gist showing how I transmit any uncaught exceptions happening in the Wearable part of my App to the connected Smartphone/Tablet. This is necessary because Android Wear devices are not directly connected to the Internet themselves.
##Wear
| ; /usr/local/bin/nasm -f macho 32.asm && ld -macosx_version_min 10.7.0 -o 32 32.o && ./32 | |
| global start | |
| section .text | |
| start: | |
| push dword msg.len | |
| push dword msg | |
| push dword 1 | |
| mov eax, 4 |
| " VIM Configuration File | |
| " Description: Optimized for C/C++ development, but useful also for other things. | |
| " Author: Gerhard Gappmeier | |
| " | |
| " set UTF-8 encoding | |
| set enc=utf-8 | |
| set fenc=utf-8 | |
| set termencoding=utf-8 | |
| " disable vi compatibility (emulation of old bugs) |
| function [J grad] = nnCostFunction(nn_params, ... | |
| input_layer_size, ... | |
| hidden_layer_size, ... | |
| num_labels, ... | |
| X, y, lambda) | |
| %NNCOSTFUNCTION Implements the neural network cost function for a two layer | |
| %neural network which performs classification | |
| % [J grad] = NNCOSTFUNCTON(nn_params, hidden_layer_size, num_labels, ... | |
| % X, y, lambda) computes the cost and gradient of the neural network. The | |
| % parameters for the neural network are "unrolled" into the vector |
