• Hmm, the below code is copied from here and just slightly appended. When running it, Bangle restarts itself, when tf.invoke() is run.
    What is amiss here, the code, or me?

    Edit 1: While the code resets the physical watch, it runs fine in the emulator, both for Bangle 1 and 2
    Edit 2: Tried to reset the watch by installing default apps, still same problem

    var model=atob("GAAAAFRGTDMAAA4AGAAEAAgADAAQ­ABQADgAAAAMAAADsCQAAuAUAAKAFAAAEAAAACwAA­AJAFAAB8BQAAJAUAANQEAADMBAAAxAQAALwEAABs­BAAAXAAAAAwAAAAEAAAAePb//7b6//8EAAAAQAAA­AJ4IZD5QVk0+7cXIPkq+Er8xYmi8i2/MPqSmNL4q­Z529BkrJPsPwij08RhC/GISaPuFzVD5EElI+BF7y­vgBVWz4C+///BAAAAAAEAADy1BE+hO4/PpbYQL5l­m62+Of0OvqzJgT6emCU+N++UvGqNxr4E0iC+4KYU­PWwbhb5x7CC9a6WBPqhwhb5h/qw+nsY4vtWAXb6M­jwa8fL+nPfqwjj4yjtU8vxOaPpw0Tj643ZQ+dEUk­PCglib1csyS+V3pqPm3mj75NqYs+sw0xPucVkb4s­MBm+Fy3DPbxymL3qREg+7ZoVvowzlz0K6sm+lNNo­PmBunr2AD6i8St+MvgJSlD4awpw+1JWxvhaUv7xr­opi+lvRdPX9dkr6rZKy+rv/LPngF7L5YDX89OhGd­Pl5g1L5tvj2+4Ol1PQZm273xFcM9Gyq0PnMCuD4k­pDy/kV5svk89SD/TlMY9fCvWvo7gej1gHou/MkCC­vmLRGD++MdG7ugULv/cOhL74yme/w3mIvVy3jT2/­a6k+MgrFvqiPzb1Hgt49c3a5PiUNWL5SGq4+0RRv­PnKPKT6wWhw/F4r3PS0LyrwP4dy+snCYPuusFb6D­8AW/FpNrvuegab4q+Mk+NoaZPiCL4b2HZLg+7/cs­vhoWKLwUMh6+xI8OPnLyqj7oXFk+nJrPPS/Hwz7t­aiC+aPmHvhXdwL4OATa+ui26PfVEVD5ZaKQ+pQq/­vqB3gz0sESU+c3e+vnfT6j05v2i+jyi6vsD2gr4v­EFG9RfnSvtxRFb+YV7G+Q9ZiPsFggL/waZa+nK12­vhExuj5gUCQ/0FmlPeTUkL4MUQk/s0jOvRxroj0I­U+q97BiUvhZEtz5mrL2/yDrKvo1wgL081wy+Ls6Z­viwB4D3uUyw+dGXxvdQz0r6lutq+IKx+PNqohb7t­XNI+OiQrvmyHnL0ySyG+rLOJva95lb5EJ8C9OleU­vrNLyD4pp9K+F0vKPgBZ/T4QSIg+32DAPsQcDj5U­sOY+16FAPlxYM76Z2Tq+ymy9PeuehL7wLRM9JGu6­vliYBD7vTRw+9dhAPmKtpL51poK+W26OPUhirr4e­Akq/DYCePotyzL5wbo2+R4jpPF8/5L6KHq49wh6z­vinn4D7i7ay9vDeqPmJUTT7gQ8q9ah+APsw4vz3k­ggS+iKScvV8iu739oJW+TPKAPa7c47wjmbO+U4um­vWdOmz461hq+jEe5PhHmTb78mcg+yW3Vvhl0Dz4T­+wK+kmdRPpC+Rr+8Hys+dNmzvSBiHTwSc7E+1VVt­PmVFgD7g6iU9Jt69vkL1Lr7+1Gg+umFkvsjsDT2n­VZK9JzjfPhkItD71E20+JnrgPbUmKj2AN6y7/ufB­PtjiRr7N5Ti+LC78PZRozD7YYIU9WODYve5crT6A­Wly9lJ4FPjok1b7qobK+tB7evBUoHr5csxG+W7Ki­PsDasb3In8a+jLqGPSBkVT0zh1i+Dv///wQAAABA­AAAAJdpOvPRygT04MxO+aJ2/Ph26vj4CeZo9sKz7­veJrTD2+Vy8/AAAAAH+BMz6e9MK+rqn4PWjdUr4S­wwo+ljZPuyD7//8k+///KPv//2b///8EAAAAQAAA­AFJaHb8b6Oi9u/r9vgAAAACIXR8/w63IPQAAAABy­Glc/izWfvpB3tD4AAAAAViLXvmQqwD5Sxe2+AAAA­AE71FLyy////BAAAAEAAAAAlH/88PwChvXBShLmT­yIO/H4J2v/Wb3b3fm5E+PEGdORjtnj+wcjy9HCbR­vpgF8T+gFZc4SAQRP8muzr5FmUC+AAAGAAgABAAG­AAAABAAAAAQAAABPOD2+3Pv//w8AAABUT0NPIENv­bnZlcnRlZC4AAQAAABAAAAAMABQABAAIAAwAEAAM­AAAA8AAAAOQAAADYAAAABAAAAAMAAACQAAAASAAA­AAQAAADO////AAAACBgAAAAMAAAABAAAAED8//8B­AAAAAAAAAAMAAAAHAAAACAAAAAkAAAAAAA4AFAAA­AAgADAAHABAADgAAAAAAAAgcAAAAEAAAAAQAAAC6­////AAAAAQEAAAAHAAAAAwAAAAQAAAAFAAAABgAA­AAAADgAWAAAACAAMAAcAEAAOAAAAAAAACCQAAAAY­AAAADAAAAAAABgAIAAcABgAAAAAAAAEBAAAABAAA­AAMAAAABAAAAAgAAAAMAAAABAAAAAAAAAAEAAAAB­AAAACgAAAOwCAACEAgAAJAIAANwBAACYAQAAOAEA­APAAAACsAAAATAAAAAQAAABK/f//OAAAAAEAAAAM­AAAABAAAADz9//8eAAAAc2VxdWVudGlhbC9kZW5z­ZV8yL01hdE11bF9iaWFzAAABAAAAAQAAAI79//9M­AAAAAgAAAAwAAAAEAAAAgP3//zIAAABzZXF1ZW50­aWFsL2RlbnNlXzIvTWF0TXVsL1JlYWRWYXJpYWJs­ZU9wL3RyYW5zcG9zZQAAAgAAAAEAAAAQAAAA6v3/­/zAAAAAEAAAADAAAAAQAAADc/f//FwAAAHNlcXVl­bnRpYWwvZGVuc2VfMS9SZWx1AAIAAAABAAAAEAAA­ACr+//84AAAABwAAAAwAAAAEAAAAHP7//x4AAABz­ZXF1ZW50aWFsL2RlbnNlXzEvTWF0TXVsX2JpYXMA­AAEAAAAQAAAAbv7//0wAAAAIAAAADAAAAAQAAABg­/v//MgAAAHNlcXVlbnRpYWwvZGVuc2VfMS9NYXRN­dWwvUmVhZFZhcmlhYmxlT3AvdHJhbnNwb3NlAAAC­AAAAEAAAABAAAADK/v//MAAAAAoAAAAMAAAABAAA­ALz+//8VAAAAc2VxdWVudGlhbC9kZW5zZS9SZWx1­AAAAAgAAAAEAAAAQAAAACv///zgAAAADAAAADAAA­AAQAAAD8/v//HAAAAHNlcXVlbnRpYWwvZGVuc2Uv­TWF0TXVsX2JpYXMAAAAAAQAAABAAAABO////TAAA­AAkAAAAMAAAABAAAAED///8wAAAAc2VxdWVudGlh­bC9kZW5zZS9NYXRNdWwvUmVhZFZhcmlhYmxlT3Av­dHJhbnNwb3NlAAAAAAIAAAAQAAAAAQAAAKr///9E­AAAABQAAACwAAAAMAAAACAAMAAQACAAIAAAAEAAA­AAQAAAABAAAAAAB/QwEAAAAAAAAACwAAAGRlbnNl­X2lucHV0AAIAAAABAAAAAQAAAAAADgAUAAQAAAAI­AAwAEAAOAAAAKAAAAAYAAAAQAAAACAAAAAQABAAE­AAAACAAAAElkZW50aXR5AAAAAAIAAAABAAAAAQAA­AAEAAAAQAAAAAAAKAAwABwAAAAgACgAAAAAAAAkD­AAAA");
    
    var x = 1;
    
    var tf = require("tensorflow").create(2048, model);
    print ("1");
    tf.getInput()[0] = x;
    
    print ("2");
    tf.invoke();
    
    print ("3");
    print(tf.getOutput()[0]);
    
    print ("4");
    
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