- MLIRConverter becomes an abstract base class
- pass the needed informations in an extra dict to MLIR converters
- NPMLIRConverter handles the specifics of numpy tables generation
* feat(mlir): conversion from HDKIR to MLIR
* feat(mlir): support ir.Sub and ir.Mul
- better type conversion from HDK to MLIR
- Context management inside the converter class
- better handling of input type in conversion functions
* refactor(mlir): use input and output from OPGraph
Co-authored-by: Arthur Meyre <arthur.meyre@zama.ai>
* feat(mlir): eint-int subtractions
* feat(mlir): adhere to spec for supported ops
* feat(OPGraph): getters for ordered inputs/outputs
+ formatting
* tests(mlir): test converion via compiler roundtrip
* fix(mlir): flip operands on int_eint sym ops
* feat(mlir): check that the outputs are unsigned
* feat(mlir): set bit_width of all nodes to the max
This is currently required as the compiler is already assuming this.
Could be removed from HDK when the compiler can do it on its own
* feat: value_is_integer + CRs
disable some linting errors
* tests: update compile tests + coverage
* refactor: reorganize mlir package + better doc
* doc: conformance with pydocstyle
Co-authored-by: Arthur Meyre <arthur.meyre@zama.ai>