- it turns out that deserialization of compiled tpu code isn't implemented in colab notebooks yet. might be easy to implement, might be nearly impossible, haven't looked. so not too much was accomplished by the use of tpu vms other than realising they're there for when a lot of speed is needed. - i started some code for gathering more data, currently at https://github.com/xloem/techsketball/blob/main/apt_.py . it enumerates packages from all architectures of debian and ubuntu distributions and pairs the source, debug symbols, and binaries together. it parses line number/address mapping information for all files from the dwarf information. collecting that data is a big thing. it's enough data for a large entity to solve this problem without issue. the intensity of it might change my task, unsure. it's notable that commonly available research models might need another year or two to really make this task simple, clear, and easy for a raspberry pi user like me, but that it's also still quite reasonable to shore up the situation with some understanding of binary layouts and model architectures.