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1370 Commits

Author SHA1 Message Date
Alexander Alekhin
b41d2c5c14 Merge pull request #21569 from alalek:fixup_18031 2022-02-06 16:04:38 +00:00
Alexander Alekhin
1f70d4e2a5 dnn(test): re-enable ONNX split tests for OpenVINO 2022-02-06 10:36:15 +00:00
Alexander Alekhin
aa5bc20c83 dnn(ngraph): fixup get_output_as_single_output_node() replacement patch 2022-02-06 10:35:59 +00:00
Maksim Shabunin
d1e76a34a0 3.4: Use modern OpenVINO package interface 
original commit: 437af37b13
 2022-02-02 09:04:03 +00:00
Alexander Alekhin
a7e6a1059c dnn(test): fix outputs handling in ONNX conformance 
- ONNX output is 1 tensor per defined output instead of N tensors from outputs of "output" layer
 2022-01-29 23:29:51 +00:00
Alexander Alekhin
85719a0a5d dnn: support outputs registration under new names 
- fixed ONNX importer
 2022-01-29 23:29:51 +00:00
Alexander Alekhin
dc35633aa4 Merge pull request #21521 from alalek:dnn_ignore_denormals 2022-01-28 15:31:44 +00:00
Alexander Alekhin
9188ce68aa Merge pull request #21490 from rogday:optional_outputs 2022-01-26 15:18:07 +00:00
Alexander Alekhin
70b0274c8e dnn: apply hint to ignore denormals processing 2022-01-26 11:28:35 +00:00
Smirnov Egor
17b2d92a3d add optional outputs support and fix graph links 2022-01-21 12:31:46 +03:00
Alexander Alekhin
b304730225 dnn: fix API - explicit ctors, const methods 2022-01-17 21:45:29 +00:00
Alexander Alekhin
80d9f624d0 dnn: don't use aligned load without alignment checks 
- weights are unaligned in dasiamprn sample (comes from numpy)
 2022-01-12 05:11:18 +00:00
Alexander Alekhin
cdd4354256 Merge pull request #21336 from alalek:dnn_pooling_check_array_indexes 2021-12-24 08:35:11 +00:00
Alexander Alekhin
6385511e88 dnn: add checks in pooling layer implementation 
- to avoid out of buffer access
 2021-12-24 00:15:30 +00:00
Alexander Alekhin
ed4becf007 dnn(onnx): debug dump of inputs/outputs/initializers in importer 2021-12-23 21:11:40 +00:00
Alexander Alekhin
f5589445b9 Merge pull request #21322 from alalek:dnn_catch_errors 2021-12-23 20:09:22 +00:00
Alexander Alekhin
011ed380aa Merge pull request #21323 from alalek:dnn_do_not_rebuilt_network_in_setInput 2021-12-23 15:45:28 +00:00
Alexander Alekhin
88a18c8b6a dnn(onnx): emit error in Shape for dynamic input 2021-12-23 15:42:59 +00:00
Alexander Alekhin
51e65db715 dnn(onnx): fix Resize inputs handling 2021-12-23 15:42:59 +00:00
Alexander Alekhin
cc02fcd889 dnn: improve debug messages, add ONNX opset version 2021-12-23 15:42:59 +00:00
Alexander Alekhin
c408157a4d dnn: do not try to rebuilt network during setInput() 
- this doesn't make sense in case of multiple inputs
 2021-12-23 02:40:33 +00:00
Alexander Alekhin
6e299b582a dnn(test): decompose 'DynamicAxes' test 2021-12-23 00:47:27 +00:00
Alexander Alekhin
b1a57c4cb2 fix 3.4 links 2021-12-22 12:38:21 +00:00
rogday
0a178a687a fix const/x in Div 2021-12-20 19:53:37 +03:00
Alexander Alekhin
a079acc0d9 Merge pull request #21280 from alalek:update_version_3.4.17-pre 2021-12-18 13:46:29 +00:00
Smirnov Egor
fec2c7e715 fix Flatten layer 2021-12-17 16:29:56 +03:00
Alexander Alekhin
60c093f086 pre: OpenCV 3.4.17 (version++) 2021-12-17 10:05:52 +00:00
Maksim Shabunin
792b7e0629 (3.4) Fixed several issues found by static analysis 
original commit: a079c2eb7c
 2021-12-16 17:02:58 +00:00
Alexander Alekhin
f3ba88c87c dnn(test): update ONNX conformance filters 2021-12-15 12:53:53 +00:00
Smirnov Egor
e97c7e042b fix max_unpool missing attributes, add default value of keepdims in reducemean/max/sum, add support for keepdims=true in full reduction branch, add new padding type to Pad 2021-12-14 22:09:27 +03:00
rogday
4827fe86bb
Merge pull request #21088 from rogday:onnx_tests 
Onnx conformance tests

* Add ONNX conformance tests

* dnn(test): add filters for ONNX conformance tests

* add filter lists for OCV backend

* address review comments

* move test_clip_inbounds to all_denylist

* address clip issue

* avoid empty lists

Co-authored-by: Alexander Alekhin <alexander.a.alekhin@gmail.com>
 2021-12-14 16:58:06 +00:00
Alexander Alekhin
35ff9af6ce Merge pull request #21162 from rogday:softmax_simplification 2021-12-02 17:14:48 +00:00
Alexander Alekhin
dad2b9aac8 Merge pull request #21160 from rogday:elu_alpha 2021-12-02 17:13:57 +00:00
rogday
1613d30544
Merge pull request #21159 from rogday:ceil_mode 
fix ceil_mode for Average/MaxPooling

* fix ceil_mode

* add a comment
 2021-12-02 20:11:11 +03:00
Alexander Alekhin
b9d0dc60b0 Merge pull request #21173 from alalek:3.4_dnn_test_reenable_ov_2021_4 2021-12-02 16:33:15 +00:00
Alexander Alekhin
bd396e1fd5 dnn(test): re-enable tests which works with OpenVINO 2021.4.x (3.4) 2021-12-02 11:30:45 +00:00
Alexander Alekhin
5da69c0b9a Merge pull request #21164 from rogday:sum_identity 2021-12-01 22:49:02 +00:00
Alexander Alekhin
a806e8cc58 Merge pull request #21163 from rogday:transpose_default 2021-12-01 22:47:57 +00:00
Smirnov Egor
33e97e994d add sum of 1 input 2021-11-30 15:42:20 +03:00
Smirnov Egor
11e6848bb9 add default order to transpose 2021-11-30 15:34:34 +03:00
Smirnov Egor
829410729c add new (Log)SoftMax simplification passes 2021-11-30 15:20:52 +03:00
Smirnov Egor
0e2a3686c0 add alpha parameter to ELU layer 2021-11-30 12:20:35 +03:00
Alexander Alekhin
0d2857a242 Merge pull request #21152 from rogday:fix_defaults 2021-11-29 22:39:27 +00:00
Alexander Alekhin
17d99e6266 Merge pull request #21142 from alalek:dnn_two_inputs_ocl_fp16_3.4 2021-11-29 21:44:59 +00:00
Andrew Ryrie
ea7d4be3f8
Merge pull request #20658 from smbz:lstm_optimisation 
* dnn: LSTM optimisation

This uses the AVX-optimised fastGEMM1T for matrix multiplications where available, instead of the standard cv::gemm.

fastGEMM1T is already used by the fully-connected layer.  This commit involves two minor modifications:
 - Use unaligned access.  I don't believe this involves any performance hit in on modern CPUs (Nehalem and Bulldozer onwards) in the case where the address is actually aligned.
 - Allow for weight matrices where the number of columns is not a multiple of 8.

I have not enabled AVX-512 as I don't have an AVX-512 CPU to test on.

* Fix warning about initialisation order

* Remove C++11 syntax

* Fix build when AVX(2) is not available

In this case the CV_TRY_X macros are defined to 0, rather than being undefined.

* Minor changes as requested:

 - Don't check hardware support for AVX(2) when dispatch is disabled for these
 - Add braces

* Fix out-of-bounds access in fully connected layer

The old tail handling in fastGEMM1T implicitly rounded vecsize up to the next multiple of 8, and the fully connected layer implements padding up to the next multiple of 8 to cope with this.  The new tail handling does not round the vecsize upwards like this but it does require that the vecsize is at least 8.  To adapt to the new tail handling, the fully connected layer now rounds vecsize itself at the same time as adding the padding(which makes more sense anyway).

This also means that the fully connected layer always passes a vecsize of at least 8 to fastGEMM1T, which fixes the out-of-bounds access problems.

* Improve tail mask handling

 - Use static array for generating tail masks (as requested)
 - Apply tail mask to the weights as well as the input vectors to prevent spurious propagation of NaNs/Infs

* Revert whitespace change

* Improve readability of conditions for using AVX

* dnn(lstm): minor coding style changes, replaced left aligned load
 2021-11-29 21:43:00 +00:00
Smirnov Egor
05db8784ae fix Clip, LeakyReLU, LRN, Split defaults 2021-11-29 20:20:34 +03:00
Alexander Alekhin
58b06222ff dnn(DataLayer): fix CPU/OpenCL code paths for FP16 handling 2021-11-28 07:44:05 +00:00
Alexander Alekhin
58dc397930 dnn(test): add two_inputs test with FP32/U8 data types 
- remove similar test from IE scope under HAVE_INF_ENGINE
 2021-11-28 07:44:04 +00:00
yuki takehara
a6277370ca
Merge pull request #21107 from take1014:remove_assert_21038 
resolves #21038

* remove C assert

* revert C header

* fix several points in review

* fix test_ds.cpp
 2021-11-27 18:34:52 +00:00
Alexander Alekhin
985aa0423d dnn(test): update InferenceEngine tests 2021-11-26 18:46:26 +00:00