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Added MinMax algorithm for OpenVINO backend #1444

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merged 33 commits into from
Jan 19, 2023
Merged

Added MinMax algorithm for OpenVINO backend #1444

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96694bf
Introduce OpenVINO native ModelTransformer
l-bat Nov 28, 2022
6505919
refactoring
l-bat Nov 29, 2022
afe600d
Fix comments
l-bat Nov 30, 2022
d901767
[OV native] Support MinMax algo
l-bat Nov 30, 2022
49e1afd
Update patterns
l-bat Dec 2, 2022
f0026e8
Refactor quantization parameters
l-bat Dec 6, 2022
95c48c5
Refactoring
l-bat Dec 6, 2022
41fa4c4
rebase
l-bat Dec 19, 2022
6b353e3
Add layer attrs
l-bat Dec 20, 2022
e46b55f
Fix minmax algo
l-bat Dec 20, 2022
e8d1a4c
Fix FQ params
l-bat Dec 20, 2022
a4208d0
Fix tests
l-bat Dec 20, 2022
abf24b5
Update tests
l-bat Dec 22, 2022
5ce28af
Fix FQ calculation and add tests
l-bat Dec 28, 2022
879693f
Add AC
l-bat Dec 29, 2022
d04fcb8
Add graph tests
l-bat Dec 29, 2022
4431aee
Add docstring
l-bat Jan 3, 2023
017200b
Fix comments
l-bat Jan 4, 2023
c3a0d5c
Add comparator for OV models
l-bat Jan 9, 2023
59de220
Add references
l-bat Jan 9, 2023
f94295c
Minor fixes
l-bat Jan 12, 2023
120d92f
Broadcast FQ values and support FP16 models
l-bat Jan 16, 2023
9d666ab
Update references
l-bat Jan 16, 2023
9f4001b
pylint
l-bat Jan 16, 2023
b8cb3eb
fix test
l-bat Jan 16, 2023
f2a02fd
Update dates
l-bat Jan 17, 2023
8ec6112
rebase
l-bat Jan 17, 2023
34fbe43
fix pylint
l-bat Jan 18, 2023
fdc7d02
Refactoring
l-bat Jan 18, 2023
9b59a99
regen stats
l-bat Jan 18, 2023
40d14d4
Fixed OV NNCF graph builder
l-bat Jan 18, 2023
c9af10d
Change Copyright year
l-bat Jan 19, 2023
c4de3fb
fix imports
l-bat Jan 19, 2023
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fix pylint
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@l-bat
l-bat committed Jan 18, 2023
commit 34fbe43e2b02af3de8b0e7f26d7cc5ec8d97d567
6 changes: 0 additions & 6 deletions tests/openvino/native/models.py
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Expand Up @@ -21,12 +21,6 @@
SYNTHETIC_MODELS = Registry('OV_SYNTHETIC_MODELS')


class OVReferenceModel:
def __init__(self, ov_model: ov.Model):
self.ov_model = ov_model
self.ref_graph_name = f'{self.__class__.__name__}.dot'


class OVReferenceModel(ABC):
def __init__(self):
self._rng = np.random.default_rng(seed=0)
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