The MLProgram dialect contains structural operations and types for defining a compiled Machine-Learning program, as created from common ML frameworks, such as TensorFlow, PyTorch, JAX, etc. It does not itself define computation ops common to such frameworks but establishes a common programming model for establishing modules, functions, globals and memory model components appropriate for such an abstract level of detail. This dialect is under active development, and while stability is an event...
