14 Commits

Author	SHA1	Message	Date
Umut	7415dd07e1	feat: support unsigned levelled operations on large bit-widths	2022-08-29 13:04:04 +03:00
Umut	ef7e0d762f	feat: support assignments to tensors	2022-08-23 14:56:36 +03:00
Umut	039a632c72	feat: support all kind of subtraction operations	2022-08-16 10:04:47 +03:00
Umut	6c6e657b6e	fix: resolve integration issues with the new compiler	2022-08-12 17:18:46 +03:00
Umut	e398a4fbd0	feat: add support for np.broadcast_to	2022-07-25 13:18:48 +03:00
Umut	a60891292b	feat: cache constant operations during MLIR conversion	2022-07-18 18:22:23 +03:00
Umut	1e86c3b1e4	fix: don't allow signed clear inputs as tlu cannot be applied to them, add more signed input tests	2022-06-22 11:03:48 +03:00
Umut	a6b09ddf09	feat: support signed inputs	2022-06-22 11:03:48 +03:00
youben11	e90a9f1a55	chore: update black to 22.3.0	2022-05-11 08:03:40 +01:00
Umut	ffe26aadcb	refactor: move configuration and artifacts to compile and trace methods	2022-04-29 11:10:14 +03:00
youben11	840a9c2c20	feat: support tracing/eval of ONNX Conv ... - 1D, 2D, and 3D convolutions - conversion to MLIR is supported only for 2D convolution - not full support yet: still limitations on group and other params	2022-04-27 08:18:14 +01:00
youben11	824e034084	refactor: add concrete.onnx mod with previous conv2d ... the module is meant to contain machine learning operations as defined by ONNX	2022-04-13 13:10:53 +01:00
Umut	ba33d42762	feat: implement transpose	2022-04-08 12:09:44 +03:00
Umut	c45b9ffa43	feat: rewrite tests	2022-04-08 12:09:44 +03:00