Umut
8564930fc8
feat: add support for np.squeeze
2023-01-25 10:52:50 +01:00
Umut
416ca6938b
fix: allow explicitly setting axis to None in np.sum
2022-12-12 15:35:38 +01:00
Umut
65f0e251f0
chore: fix random test failures
2022-12-05 11:40:14 +01:00
Umut
23337e9dbd
feat: support up to 16-bit signed integers with table lookups
2022-12-05 10:22:41 +01:00
Umut
25b9a59e21
feat: introduce tag extension, create integer range getter for graphs, allow filtering in integer bit width getter
2022-11-18 12:33:03 +01:00
Umut
ccd3f9af6a
feat: introduce auto rounders
2022-11-08 14:17:22 +01:00
Umut
eb601f5948
chore: fix one of the common random test failures
2022-11-08 14:17:22 +01:00
Umut
c552a955c0
feat: introduce round bit pattern extension for virtual circuits
2022-11-03 11:52:41 +01:00
Umut
cb9cbb05ab
feat: introduce maxpool extension for virtual circuits
2022-11-02 16:12:00 +01:00
Umut
f0014dc05f
feat: improve fusing related error messages
2022-10-28 12:06:54 +03:00
Umut
a2624086a2
feat: support axes kwarg for np.transpose
2022-10-18 11:58:50 +03:00
youben11
5f07a72e5c
fix: use pads arg for torch evaluation
...
as we weren't supporting padding, we neglected to use them in the plain
evaluation, but this result in a confusing error message for the user
when trying to use padding. This fixes the problem by using padding
properly during evaluation, and leaves the error up to the compiler.
2022-10-17 14:01:38 +03:00
Umut
d6ba76318f
feat: add support for np.expand_dims
2022-10-17 10:52:01 +03:00
youben11
7901d8868c
fix: adhere to ONNX spec of kernel_shape
...
ONNX spec:
"kernel_shape : list of ints
The shape of the convolution kernel. If not present, should be
inferred from input W."
We were taking the number of input/output feature maps into account,
which we realized we should not.
2022-10-05 14:55:54 +01:00
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
48014ed60a
feat: allow broadcast_to operation on scalars
2022-08-23 14:56:36 +03:00
Umut
710ee3408d
docs: fix documentation of static indexing execution test module
2022-08-23 14:56:36 +03:00
youben11
0aadb4ac43
feat: support grouped conv2D
2022-08-16 16:28:37 +01:00
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
a0f167ac79
fix: reduce number of retries to 1 for tlu tests
2022-07-20 10:46:02 +03:00
Umut
f5842fb7ad
test: iteration of tracers
2022-07-19 15:15:21 +03:00
Umut
078512d55d
feat: create array extension
2022-07-12 14:30:08 +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
Umut
8a60a979cb
chore: remove manually set uint8 dtypes in tests as it's done automatically
2022-06-22 11:03:48 +03:00
Umut
ce1712c67c
fix: properly determine lca during fusing
2022-06-16 10:25:17 +03:00
Umut
11819fcf2f
feat: add support for np.ndarray.round() method
2022-06-16 10:25:17 +03:00
Umut
57aae5afdb
feat: add encrypted zeros and ones functions
2022-06-13 12:13:25 +03:00
Umut
dc501fb0ae
chore: convert an 8-bit test a 7-bit test to improve test time
2022-05-31 11:18:59 +03:00
Umut
fc6836b766
feat: add support for rounding
2022-05-23 16:05:11 +03:00
Umut
574446e6f5
feat: add univariate extension to wrap arbitrary functions
2022-05-18 15:33:05 +03:00
Umut
56085204e6
feat: add support for np.ones_like and np.zeros_like
2022-05-17 13:43:15 +03:00
Umut
d94812b234
feat: fuse subgraphs with multiple variable inputs of which has the same lca
2022-05-16 14:30:09 +03:00
youben11
e90a9f1a55
chore: update black to 22.3.0
2022-05-11 08:03:40 +01:00
Umut
eebb29c10f
fix: allow fusing where the input to subgraph is not fusable
2022-05-10 11:21:25 +03:00
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
a17d0c66ca
fix: update only int64 astype warning to ignore floating point types
2022-04-08 16:52:16 +03:00
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
