e8f07d8b26
Update AZURE - OpenVINO ONNX CI check ( #6721 )
...
* experiment
* save
* Undo exeprimental changes
2021-07-20 15:17:53 +03:00
1a5bd8a510
[ONNX] Split importing model to two phases: decode and convert ( #6326 )
2021-07-12 12:13:25 +02:00
d9b6c43201
[ONNX] Fix fp16 Tensor data loading ( #6338 )
2021-06-28 16:05:54 +02:00
b1db3448e7
[ONNX] Extend ONNX Importer for operation "Einsum" ( #6074 )
2021-06-16 14:57:29 +02:00
6040d433d3
Fix for the paddings attribute handling for ONNX Pad@1 ( #6101 )
2021-06-10 11:06:30 +02:00
bc7f61be24
PRelu reference implementation and ReshapePRelu transformation alignment ( #5915 )
...
* Apply ReshapePRelu transformation only to const slope input
* Remove xfail from onnx backend prelu_broadcast test
* Fix and add Prelu SLT
* Update PRelu mkldnn transformation to extend broadcast support
* Fix and update PRelu reference implementation
* ONNX Prelu tests
* Add prelu backend tests
* Update ie tests manifest
* Comments clean up
* Fix STL Fill leakyslope blob
* Code refactor
* Unify layer tests slope input values generation
2021-06-08 06:51:41 +03:00
f9b27c3714
[ONNX] 🛠️ 🕸️ Fix softmax opsets ( #5959 )
2021-06-07 14:01:20 +03:00
3bb91c4e5a
Fix of some nGraph python tests ( #5778 )
2021-06-02 12:57:57 +02:00
c3ca8d048e
[ONNX] ArgMin/ArgMax support for select_last_index ( #5661 )
...
* Add Reverse Op to opset
* Worksave with Reverse path
* Add last_index support
* refactor argminmax factory
* Remove old xfail, add new one
* Fix proto file for argmax
* Rewrite test for select_last_index
* Add CPU tests to Manifest
* Update manifest
* Remove Reverse from opset7
* Refactor arg_min_max factory
* Added example comment in arg_min_max
* Codestyle changes
2021-05-25 20:37:07 +03:00
81f9d78541
ONNX Subgraph - Infer types of inputs from top level Graph nodes ( #5277 )
2021-05-12 10:32:34 +02:00
a19413c0c0
[CPU] Plugin migration on ngraph ( #4344 )
2021-05-06 19:49:24 +03:00
c362b3e105
[ONNX] Fix missmatches for opset13 *Max operators. ( #5443 )
2021-05-05 13:34:26 +02:00
03ca3d1ef7
[CPU] Fixed SoftPlus for large positive values ( #4932 )
2021-04-30 13:34:33 +03:00
64a032fa18
[ONNX] Add ONNX Compress operator. ( #5400 )
...
* [ONNX] Add support for ONNX's Compress operator
* NonZero fixes
* Add unit tests as constant_network
* Style
* Move compress tests
* xfail python tests
* Fix func test
* Review Fix I
2021-04-29 07:49:05 +03:00
31b161097d
FIx the incorrect expected exception type ( #5396 )
2021-04-28 22:15:35 +03:00
805d184357
Enable parallel execution open vino onnx ci ( #5332 )
...
* Separate workdir for parallel runs
* Use random
* Get back old working configuration
* Change label
* Debug parameters
* Change models dir to SHA approach
* Fix WORKDIR names
* Change mountig models dirs
* Update model preproces script
* Improvements
* Isolate all private variables
* Fix model dir path
* Update model preproces
* Update node label
* Remove debug printlns
2021-04-22 08:58:11 +03:00
684dcf0d92
[ONNX] Add support for BF16 datatype ( #5194 )
2021-04-13 11:21:21 +02:00
94e9b632e8
Revise ONNX Mod operator (Add support for attribute fmod == 0) ( #5173 )
2021-04-13 10:24:51 +02:00
14e0da322e
Update the XFAIL marker for a Resize onnx test ( #5068 )
2021-04-12 13:38:56 +02:00
69e1eebf4f
Fix broadcast with BroadcastType::NONE and unit dimensions ( #5093 )
...
* Fix broadcast with BroadcastType::NONE and unit dimensions
* fix issues found by flake
* fix broadcast negative test
* remove xfail_issue_49913
2021-04-12 13:06:29 +03:00
320009d3b2
[nGraph][ONNX Importer] Bunch of small fixes ( #4990 )
2021-03-31 15:36:42 +02:00
a2bf62f488
Align copyright notice in sh, bat, cl, cc, pyx source files ( #4995 )
2021-03-27 01:26:27 +03:00
6478f1742a
Align copyright notice in python scripts (CVS-51320) ( #4974 )
...
* Align copyright notice in python scripts (CVS-51320)
2021-03-26 17:54:28 +03:00
8ec59ceda4
[CPU][ONNX] Convert FP64 precision to FP32 ( #4681 )
2021-03-19 19:28:55 +01:00
dbd3a3d7a4
Enable protobuf-lite in ONNX CI tests ( #4487 )
2021-03-15 14:34:02 +01:00
95a13e05d5
Enable MatMul 1D multiplication by transformation to GEMM ( #4509 )
...
* MatMul tests
* Tests update
* More tests
* IE tetst manifest cleanup
* Enable MatMul 1D multiplication by transofrmation to GEMM
* Add unsqueeze to transform tests
* Fix runtime info
* Update transformation condition
* Remove Xfail from python tests
* Add more tests for ignoring 1D transpose true
* Ignore transpose for 1D in MatMul transformations
* Resolve python api xfails
* Use ngraph::opset namespace
* Style apply
* Add MatMul single layer tests for 1D
2021-03-15 13:44:57 +03:00
cadcd7c926
Remove a duplicate xfail marker for ONNX dropout tests ( #4522 )
2021-03-01 07:17:29 +03:00
b0043bb599
ONNX Slice operator support types dynamically ( #4507 )
2021-02-26 16:28:51 +01:00
f88f81c6ba
OnnxBackendNodeModelTest XFAILs cleanup ( #4432 )
2021-02-26 15:34:24 +01:00
f26c82bde3
[CPU] Supporting constant networks ( #4379 )
2021-02-19 09:38:20 +03:00
ec9b5894fb
[ONNX] Add support for BitShift operator ( #4368 )
2021-02-17 16:39:27 +01:00
66634a9939
Update ONNX compliance test list ( #4360 )
...
* Update ONNX compliance test list
* Update test_backend.py
2021-02-17 07:40:47 +03:00
185aaacc07
[ONNX] Add support for Softmax v11 in opset 7 models ( #4340 )
2021-02-16 11:58:39 +01:00
a3af43c8e4
[ONNX] Minimum op xfail updated ( #4332 )
2021-02-16 11:43:07 +01:00
d821ec47ce
[ONNX] Handle optional outputs for Dropout and MaxPool ( #4143 )
2021-02-15 11:14:20 +01:00
3eb0b5c90d
Add visible export ( #4222 )
...
Co-authored-by: Alexander Zhogov <alexander.zhogov@intel.com>
2021-02-11 19:02:58 +03:00
7af2959bd0
[ONNX] Convert to integral type in OneHot op ( #4229 )
...
Co-authored-by: Tomasz Dołbniak <tomasz.dolbniak@intel.com>
2021-02-10 14:03:54 +01:00
65e2b4af3f
[ONNX Importer] Switch to opset6 ( #4112 )
2021-02-05 11:15:13 +01:00
937c332978
[ONNX][Tests][Python][Models] Increase tolerance for some models ( #4150 )
2021-02-04 15:54:11 +01:00
0b3ff5edc2
Add MO support for MVN-6 ( #3772 )
...
* Add MO support for MVN-6
* Apply review feedback
* Apply review feedback
* Enable MVN-6 decomposition
* Fix shape_infer issue
* Fix MVN6 decomposition
* Fix build
* Fix tests
* Small fix
* Add MVN-6 reader test
* Apply feedback
* Apply review feedback
* Fix onnx test failure
2021-02-02 17:45:56 +03:00
b90f908c58
Enable Bersquad-10 in ONNX CI ( #3889 )
2021-01-27 10:22:16 +01:00
247606baf6
Add support for nonconstant optional NMS-5 inputs ( #3640 )
2021-01-26 14:41:28 +01:00
d58b4c65c8
[CPU] Plugin migration on oneDNN (v1.6) ( #3725 )
2021-01-26 16:31:10 +03:00
245bc33e8a
[CPU] GatherElements implementation. ( #3860 )
2021-01-26 09:53:20 +03:00
647104f602
[nGraph][ONNX] WA for currently unsupported precisions ( #3964 )
2021-01-25 13:08:15 +01:00
4d98d7ceee
ONNX tests mismatch error ( #3836 )
2021-01-18 12:39:32 +01:00
928201bee4
Add support for ONNX Operator ReduceSum v13 and revise other Reduce operators ( #3605 )
2021-01-18 10:47:40 +01:00
20b9d390e1
[ONNX] don't hardcode broadcast shape in Mul, Add, Sub, Div (opset <= 6) operators ( #3679 )
2021-01-14 11:24:37 +01:00
303c549791
nGraph copyright update for 2021 ( #3832 )
2021-01-13 16:43:04 +03:00
f6c2f3cc16
Change failing test ticket number ( #3677 )
2021-01-12 07:10:48 +03:00
Rafal Blaczkowski