Docs: GoDoc
Package patgen contains functions that generate patterns, typically based on various constrained-forms of random patterns, e.g., permuted binary random patterns.
Pattern generator is capable of flexibly making patterns for models. To configure your own patterns, follow these four steps:
- make your vocabulary as a pool name -- tensor map;
- use your vocabulary to initialize a big pattern (e.g., TrainAB), in which you later use to store input & output patterns;
- mix different pools in the vocabulary into one pattern (e.g., A+B+context-->input pattern), which is stored in the big pattern;
- repeat 3) for the output pattern.
Example code could be found in ConfigPats() in hip bench.