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1237 Commits

Author SHA1 Message Date
Alexander Alekhin
3d5ca3ef75 Merge pull request #16418 from l-bat:ngraph_logsoftmax 2020-01-24 21:46:28 +00:00
Alexander Alekhin
bd66f76fea Merge pull request #16356 from alalek:dnn_ie_prevent_plugins_unloading 2020-01-24 12:07:05 +00:00
Liubov Batanina
d9474648f0 Fix diff 2020-01-24 11:00:06 +03:00
Liubov Batanina
0687cffe21 Support logSoftMax 2020-01-23 15:32:16 +03:00
Liubov Batanina
a3ae69893c Extend nGraph Deconvolution layer support 2020-01-23 15:10:42 +03:00
Liubov Batanina
55b03dcaba Refactoring 2020-01-23 10:25:41 +03:00
Alexander Alekhin
6670e6b0bb dnn: prevent unloading of InferenceEngine plugins 2020-01-22 19:34:32 +03:00
Alexander Alekhin
3d14dd4e39 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-01-22 16:58:30 +03:00
Liubov Batanina
7e5b5390ba Fix comments 2020-01-22 14:57:54 +03:00
Alexander Alekhin
b21a861c5b dnn(test): adjust test tolerance for MYRIAD 2020-01-22 14:42:52 +03:00
Liubov Batanina
35c24480ae Fix axis 2020-01-22 13:36:29 +03:00
Alexander Alekhin
16d8e9e0c8 Merge pull request #16358 from ashishkrshrivastava:opencv-2 2020-01-22 09:57:41 +00:00
Liubov Batanina
832ca0734d Refactoring 2020-01-22 10:52:40 +03:00
Liubov Batanina
fada959b4b Fix comment 2020-01-21 10:28:50 +03:00
Liubov Batanina
c6936f5a77 Support lrn with SPATIAL_NRM 2020-01-21 10:12:05 +03:00
Liubov Batanina
d825caf18e Update check params 2020-01-21 10:09:24 +03:00
Liubov Batanina
97455f1593 Remove useless condition 2020-01-20 17:31:58 +03:00
Liubov Batanina
08ba63da02 Add global pool flags 2020-01-20 15:37:11 +03:00
Alexander Alekhin
4e577b8d3c Merge pull request #16378 from alalek:dnn_getMemoryShapes_error_dump_blobs 2020-01-20 10:49:17 +00:00
Alexander Alekhin
61b6d40539 Merge pull request #16377 from alalek:fix_16373 2020-01-20 10:48:21 +00:00
ashishiva3@gmail.com
f29bc22005 Convolutional padding parsing modified 2020-01-19 22:33:12 +05:30
Julien
886220b9be Merge pull request #16273 from JulienMaille:wrapper_available_target 
* add a wrapper for getAvailableTargets

* add java wrapper on Target enum
 2020-01-17 19:24:37 +03:00
Alexander Alekhin
55d54b56bf dnn(onnx): handle unaligned access in ONNX importer 2020-01-17 19:03:34 +03:00
Julien Maille
a696348ec5 FIX: disable dnn cuda input_shortcut on _half for CC<5.3 2020-01-17 14:21:25 +01:00
Yashas Samaga B L
d85e67d3ec Merge pull request #16063 from YashasSamaga:cuda4dnn-shortcut-unequal 
support eltwise sum with different number of input channels in CUDA backend

* add shortcut primitive

* add offsets in shortcut kernel

* skip tests involving more than two inputs

* remove redundant modulus operation

* support multiple inputs

* remove whole file indentation

* skip acc in0 trunc test if weighted

* use shortcut iff channels are unequal
 2020-01-16 21:54:00 +03:00
Dmitry Kurtaev
8b9e8a805d MVN support through nGraph 2020-01-16 18:15:31 +03:00
Alexander Alekhin
2638c5e9b7 dnn: dump layer's blobs on getMemoryShapes() error 2020-01-16 14:59:47 +03:00
Julien
ced3df73da Fix: rsqrt(float) was improperly put in the ifdef for half 2020-01-16 09:21:50 +01:00
YashasSamaga
fd369a5004 fix and optimize ROIPooling 2020-01-15 22:53:48 +05:30
Alexander Alekhin
f6137292f1 Merge pull request #16357 from dkurt:dnn_ie_reset_myriad 2020-01-15 17:03:09 +00:00
Dmitry Kurtaev
d92a883de1 Different way to reset Myriad device 2020-01-15 18:52:37 +03:00
Alexander Alekhin
f6a8f7859c Merge pull request #16354 from dkurt:dnn_ie_custom_cpu_layers 2020-01-15 15:33:18 +00:00
Julien
4e2ef8c8f5 Merge pull request #16218 from JulienMaille:cuda-dnn-for-older-gpus 
Enable cuda4dnn on hardware without support for __half

* Enable cuda4dnn on hardware without support for half (ie. compute capability < 5.3)

Update CMakeLists.txt

Lowered minimum CC to 3.0

* UPD: added ifdef on new copy kernel

* added fp16 support detection at runtime

* Clarified #if condition on atomicAdd definition

* More explicit CMake error message
 2020-01-15 18:28:37 +03:00
Dmitry Kurtaev
7c741f54fa Wrap custom OpenCV layers to try-catch 2020-01-15 17:44:38 +03:00
Dmitry Kurtaev
0d896af8ec Fix uninitialized value 2020-01-15 12:58:12 +03:00
Alexander Alekhin
4cb9faf6c9 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-01-14 17:04:22 +03:00
Alexander Alekhin
a67228cd73 Merge pull request #16291 from dkurt:dnn_onnx_graph_simplifier 2020-01-14 12:45:59 +00:00
Liubov Batanina
be86338a79 Enable acrossSpatial normalizeL2 on Myriad 2020-01-14 12:51:19 +03:00
Dmitry Kurtaev
c1c84d2fd1 ONNX graphs simplifier 2020-01-14 12:45:49 +03:00
Alexander Alekhin
3f27f8cf41 Merge pull request #16232 from dkurt:dnn_ie_ngraph_fix_myriad_tests 2020-01-13 16:59:45 +00:00
Dmitry Kurtaev
8f1e36f7c1 Disable some tests for Myriad target of nGraph 
Add lightweight IE hardware targets checks

nGraph: Concat with paddings

Enable more nGraph tests

Restore FP32->FP16 for GPU plugin of IE

try to fix buildbot

Use lightweight IE targets check only starts from R4
 2020-01-13 15:35:47 +03:00
Alexander Alekhin
fb61f88b9c Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-01-12 09:35:39 +00:00
Liubov Batanina
9ed372b297 Update get memory shapes 2020-01-10 14:09:08 +03:00
Liubov Batanina
4625337179 Add docs reduce mean 2020-01-10 12:49:06 +03:00
Liubov Batanina
e9e3af0aaa Add global pool by axis test 2020-01-10 11:32:48 +03:00
Liubov Batanina
a33d50084d Add global_pooling_dim flags 2020-01-10 09:01:57 +03:00
Liubov Batanina
7eba3a7c96 Add pack description 2020-01-09 13:59:35 +03:00
Alexander Alekhin
1f2b2c5242 Merge pull request #16230 from YashasSamaga:cuda4dnn-fp-conversion 2020-01-05 11:59:33 +00:00
Alexander Alekhin
1996ae4a42 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-12-31 10:11:39 +00:00
Dmitry Kurtaev
f954f0830c Sort text TensorFlow graphs 2019-12-31 11:43:32 +03:00
YashasSamaga
48eecafc89 simplify code to help MSVC 19.10 and lower 2019-12-30 23:02:17 +05:30
Dmitry Kurtaev
76cfa65d55 AddV2 from TensorFlow 2019-12-30 20:06:58 +03:00
YashasSamaga
01f97f150c perfor fp conversions on GPU 2019-12-30 00:05:39 +05:30
YashasSamaga
17a35587e1 use optimized cuDNN path for conv + bias + relu 2019-12-29 13:08:38 +05:30
Liubov Batanina
752653c70b Update global pooling 2019-12-28 18:03:40 +03:00
Alexander Alekhin
9ec3d76b21 Merge pull request #16241 from bwignall:typo 2019-12-27 16:18:57 +00:00
Brian Wignall
f9c514b391 Fix spelling typos 
backport commit 659ffaddb4
 2019-12-27 12:46:53 +00:00
Brian Wignall
659ffaddb4 Fix spelling typos 2019-12-26 06:45:03 -05:00
Liubov Batanina
cf477f7e9f Fix global axis 2019-12-24 16:42:00 +03:00
Liubov Batanina
543e0302d3 Support global pooling by axis 2019-12-24 16:16:58 +03:00
YashasSamaga
16bc505d26 improve reduction logic and add fast transpose kernel 2019-12-24 00:23:45 +05:30
Liubov Batanina
6e33769e56 Add human parsing demo 2019-12-23 15:47:20 +03:00
Yashas Samaga B L
1fac1421e5 Merge pull request #16010 from YashasSamaga:cuda4dnn-fp16-tests 
* enable tests for DNN_TARGET_CUDA_FP16

* disable deconvolution tests

* disable shortcut tests

* fix typos and some minor changes

* dnn(test): skip CUDA FP16 test too (run_pool_max)
 2019-12-20 16:36:32 +03:00
Alexander Alekhin
97b6068c46 dnn(test): don't require downloaded data 2019-12-19 19:31:59 +00:00
Alexander Alekhin
4c86fc13cb Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-12-19 15:09:05 +03:00
Alexander Alekhin
4342657762 Merge pull request #16034 from Quantizs:irLoadFromBuffer 2019-12-19 10:00:07 +00:00
Alexander Alekhin
b8e0898c7c Merge pull request #16082 from YashasSamaga:cuda4dnn-roi-pooling 2019-12-18 14:41:58 +00:00
antalzsiroscandid
aa80f754f4 dnn: reading IR models from buffer 2019-12-18 15:31:08 +01:00
Alexander Alekhin
61969dc158 Merge pull request #16171 from YashasSamaga:cuda4dnn-tensor-cores 2019-12-17 18:58:12 +00:00
Alexander Alekhin
2c0d9fa81f dnn(test): fix Test_Model.Keypoints* tests 2019-12-16 18:07:23 +03:00
YashasSamaga
cf93df41fc enable tensor cores for fp16 convolutions 2019-12-16 15:38:12 +05:30
Alexander Alekhin
ba7b0f4c54 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-12-15 11:23:46 +00:00
Yashas Samaga B L
17c485eb03 Merge pull request #16092 from YashasSamaga:cuda4dnn-conv-act-fuse 
cuda4dnn: fuse activations with convolutions

* fuse ReLU, ReLU6, TanH, Sigmoid with conv

* fix OpenCL errors

* improve ReLU, add power, swish and mish

* fix missing fusion entries

* fix handling of unsetAttached

* remove whole file indentation

* optimize power = 1.0, use IDENTITY instead of NONE

* handle edge case: change backend and then clear
 2019-12-14 22:26:58 +03:00
Xuanda Yang
3d60a9b96c Merge pull request #16156 from TH3CHARLie:3.4 
* Eltwise::DIV support in Halide backend

* fix typo

* remove div from generated test suite to pass CI, switching to manual test...

* ensure divisor not near to zero

* use randu

* dnn(test): update test data for Eltwise.Accuracy/DIV layer test
 2019-12-13 18:29:39 +03:00
Diego
5b0b59ecfb Merge pull request #15189 from dvd42:keypoints_module 
Keypoints module
 2019-12-13 18:00:06 +03:00
Alexander Alekhin
92b9888837 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-12-12 13:02:19 +03:00
Alexander Alekhin
5ee7abbe3c
Merge pull request #16088 from alalek:dnn_eltwise_layer_different_src_channels 
dnn(eltwise): fix handling of different number of channels

* dnn(test): reproducer for Eltwise layer issue from PR16063

* dnn(eltwise): rework support for inputs with different channels

* dnn(eltwise): get rid of finalize(), variableChannels

* dnn(eltwise): update input sorting by number of channels

- do not swap inputs if number of channels are same after truncation

* dnn(test): skip "shortcut" with batch size 2 on MYRIAD targets
 2019-12-11 20:16:58 +03:00
Alexander Alekhin
2a11103a73 Merge pull request #16098 from alalek:dnn_clarify_error_getMemoryShapes 2019-12-11 14:02:15 +00:00
Alexander Alekhin
939099b9ce Merge pull request #16107 from dkurt:dnn_ie_ngraph_v1_conv 2019-12-10 12:10:50 +00:00
Alexander Alekhin
2a19db0f0a Merge pull request #16106 from dkurt:dnn_ie_ngraph_weights_fusion 2019-12-10 12:08:04 +00:00
Dmitry Kurtaev
fe77223dee Modify nGraph's ConvolutionBackpropData and GroupConvolution 2019-12-10 14:14:00 +03:00
Yashas Samaga B L
3fddd3bf93 Merge pull request #16069 from YashasSamaga:cuda4dnn-crop_and_resize 
add CropAndResize layer for CUDA backend

* add CropAndResize layer

* process multiple channels per iteration
 2019-12-09 22:26:58 +03:00
Alexander Alekhin
45f6931352 Merge pull request #16089 from dkurt:dnn_ie_fix_fpga 2019-12-09 19:26:00 +00:00
Dmitry Kurtaev
c2ca3ee2fa Fix weights fusion for Convolution and Deconvolution layers in nGraph 2019-12-09 19:06:47 +03:00
Alexander Alekhin
b505cf84de Merge pull request #16096 from YashasSamaga:cuda4dnn-region-optimize 2019-12-09 14:34:48 +00:00
Yashas Samaga B L
476a02739e Merge pull request #16097 from YashasSamaga:cuda4dnn-optimize-resize-bilinear 
cuda4dnn(resize): process multiple channels each iteration

* resize bilinear: process multiple chans. per iter.

* remove unused headers

* correct dispatch logic

* resize_nn: process multiple chans. per iter.
 2019-12-09 17:31:27 +03:00
Dmitry Kurtaev
883c4c60c3 Remove Dummy layer 2019-12-09 12:49:47 +03:00
Alexander Alekhin
b1b505f783 dnn: clarify error message from getMemoryShapes() 2019-12-08 22:17:24 +00:00
Yashas
dd3f517fe9 optimize region kernels 2019-12-08 21:03:30 +05:30
Alexander Alekhin
202ba124a5 Merge pull request #16087 from YashasSamaga:cuda4dnn-eltwise-div 2019-12-06 18:33:55 +00:00
Lubov Batanina
629d47fcd8 Merge pull request #15988 from l-bat:custom_layer 
Test create custom layer in python

* check is contiguos

* Add custom layer test

* Fix test

* Remove assert

* Move assert to pyopencv dnn

* remove assert

* Add unregister

* Fix python2

* proto to bytearray

* Fix data type
 2019-12-06 21:29:57 +03:00
Dmitry Kurtaev
beb5b291b9 Fix HETERO:FPGA,CPU plugin for IE backend 2019-12-06 19:35:11 +03:00
YashasSamaga
a91eca6ec2 add DIV support to EltwiseOp 2019-12-06 21:28:36 +05:30
Alexander Alekhin
51d54ad4f0 Merge pull request #16076 from l-bat:prior_ngraph 2019-12-06 14:08:21 +00:00
YashasSamaga
9b8ddba4d1 add ROIPoolingOp 2019-12-06 18:19:37 +05:30
Liubov Batanina
660a709840 Support Swish and Mish activations 2019-12-06 11:27:59 +03:00
Liubov Batanina
d99d18304a Slice v1 op 2019-12-06 09:56:21 +03:00
Dmitry Kurtaev
134094a442 Backport fix for autodetection of input shapes 2019-12-05 19:25:51 +03:00
Alexander Alekhin
8108fb0575 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-12-05 18:27:45 +03:00
Alexander Alekhin
986c5084a4 Merge pull request #16036 from dkurt:dnn_backport_15203 2019-12-05 09:56:00 +00:00
Dmitry Kurtaev
d8e10f3a8d Enable MaxPooling with indices in Inference Engine 2019-12-04 19:14:55 +03:00
Alexander Alekhin
72315e7b00 Merge pull request #16045 from YashasSamaga:cuda4dnn-hotfix-log1p-expm1 2019-12-04 15:50:07 +00:00
Alexander Alekhin
1633c29f29 Merge pull request #16037 from alalek:dnn_test_fix_skip_vulkan 2019-12-04 15:49:47 +00:00
YashasSamaga
fbb3f64a1a fix expm1 and log1p for __half/__half2 2019-12-03 15:25:35 +05:30
Alexander Alekhin
0dc0bc80ae dnn(test): fix Vulkan skip test tag 2019-12-02 18:22:10 +03:00
Dmitry Kurtaev
ca1ba7a53d Backport for dnn input shape estimation 2019-12-02 16:28:59 +03:00
Alexander Alekhin
4b0132ed7a Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-12-02 16:26:52 +03:00
Lubov Batanina
7523c777c5 Merge pull request #15537 from l-bat:ngraph 
* Support nGraph

* Fix resize
 2019-12-02 16:16:06 +03:00
Manjunath Bhat
78c5e41c23 Merge pull request #15808 from thebhatman:Mish_swish 
* Added Swish and Mish activations

* Fixed whitespace errors

* Kernel implementation done

* Added function for launching kernel

* Changed type of 1.0

* Attempt to add test for Swish and Mish

* Resolving type mismatch for log

* exp from device

* Use log1pexp instead of adding 1

* Added openCL kernels
 2019-12-02 00:06:17 +03:00
thebhatman
8a18d132fc Port Swish and Mish layers 2019-12-01 11:55:39 +03:00
Alexander Alekhin
01a28db949 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-11-29 18:57:33 +03:00
Brian Wignall
9276f1910b Fix some typos 2019-11-25 19:55:07 -05:00
Dmitry Kurtaev
6e14cc2189 Resolve https://github.com/opencv/opencv/issues/15863 2019-11-24 21:59:25 +03:00
Alexander Alekhin
ad0ab4109a Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-11-22 22:47:13 +00:00
Alexander Alekhin
86042af108 dnn: fix registration of custom OpenCVLayer 
- do not require extensions library
 2019-11-20 21:42:26 +00:00
Alexander Alekhin
318cba4ce3 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-11-19 19:48:49 +00:00
Alexander Alekhin
26513285dd Merge pull request #15945 from alalek:dnn_ie_extension_handling 2019-11-19 14:25:12 +00:00
Alexander Alekhin
09d54c9f52 dnn: update InferenceEngine extension handling 2019-11-19 06:55:14 +00:00
Alexander Alekhin
fc41c18c6f Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-11-18 13:56:24 +03:00
Alexander Alekhin
7ec91aefc1 python: force using of ArgInfo 2019-11-15 19:16:22 +03:00
Liubov Batanina
ac4fd4f4ae Fix ReduceL2 2019-11-14 15:30:53 +03:00
Alexander Alekhin
b6a58818bb Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-11-11 20:25:42 +00:00
Lubov Batanina
cfc781949d Merge pull request #15811 from l-bat:eltwise_div 
Supported ONNX Squeeze, ReduceL2 and Eltwise::DIV

* Support eltwise div

* Fix test

* OpenCL support added

* refactoring

* fix code style

* Only squeeze with axes supported
 2019-11-09 14:11:09 +03:00
Dimitri Gerin
7c4158d8c2 Fix dnn::getLayerInputs 2019-11-07 08:13:33 +03:00
Alexander Alekhin
055ffc0425 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-10-24 18:21:19 +00:00
Alexander Alekhin
d65fead337 Merge pull request #15752 from dkurt:fix_15750 2019-10-24 07:06:32 +00:00
Dmitry Kurtaev
dfe0368835 Fix custom IE layers in case of no MKLDNN plugin 2019-10-21 19:09:44 +03:00
Yashas Samaga B L
613c12e590 Merge pull request #14827 from YashasSamaga:cuda4dnn-csl-low 
CUDA backend for the DNN module

* stub cuda4dnn design

* minor fixes for tests and doxygen

* add csl public api directory to module headers

* add low-level CSL components

* add high-level CSL components

* integrate csl::Tensor into backbone code

* switch to CPU iff unsupported; otherwise, fail on error

* add fully connected layer

* add softmax layer

* add activation layers

* support arbitary rank TensorDescriptor

* pass input wrappers to `initCUDA()`

* add 1d/2d/3d-convolution

* add pooling layer

* reorganize and refactor code

* fixes for gcc, clang and doxygen; remove cxx14/17 code

* add blank_layer

* add LRN layer

* add rounding modes for pooling layer

* split tensor.hpp into tensor.hpp and tensor_ops.hpp

* add concat layer

* add scale layer

* add batch normalization layer

* split math.cu into activations.cu and math.hpp

* add eltwise layer

* add flatten layer

* add tensor transform api

* add asymmetric padding support for convolution layer

* add reshape layer

* fix rebase issues

* add permute layer

* add padding support for concat layer

* refactor and reorganize code

* add normalize layer

* optimize bias addition in scale layer

* add prior box layer

* fix and optimize normalize layer

* add asymmetric padding support for pooling layer

* add event API

* improve pooling performance for some padding scenarios

* avoid over-allocation of compute resources to kernels

* improve prior box performance

* enable layer fusion

* add const layer

* add resize layer

* add slice layer

* add padding layer

* add deconvolution layer

* fix channelwise  ReLU initialization

* add vector traits

* add vectorized versions of relu, clipped_relu, power

* add vectorized concat kernels

* improve concat_with_offsets performance

* vectorize scale and bias kernels

* add support for multi-billion element tensors

* vectorize prior box kernels

* fix address alignment check

* improve bias addition performance of conv/deconv/fc layers

* restructure code for supporting multiple targets

* add DNN_TARGET_CUDA_FP64

* add DNN_TARGET_FP16

* improve vectorization

* add region layer

* improve tensor API, add dynamic ranks

1. use ManagedPtr instead of a Tensor in backend wrapper
2. add new methods to tensor classes
  - size_range: computes the combined size of for a given axis range
  - tensor span/view can be constructed from a raw pointer and shape
3. the tensor classes can change their rank at runtime (previously rank was fixed at compile-time)
4. remove device code from tensor classes (as they are unused)
5. enforce strict conditions on tensor class APIs to improve debugging ability

* fix parametric relu activation

* add squeeze/unsqueeze tensor API

* add reorg layer

* optimize permute and enable 2d permute

* enable 1d and 2d slice

* add split layer

* add shuffle channel layer

* allow tensors of different ranks in reshape primitive

* patch SliceOp to allow Crop Layer

* allow extra shape inputs in reshape layer

* use `std::move_backward` instead of `std::move` for insert in resizable_static_array

* improve workspace management

* add spatial LRN

* add nms (cpu) to region layer

* add max pooling with argmax ( and a fix to limits.hpp)

* add max unpooling layer

* rename DNN_TARGET_CUDA_FP32 to DNN_TARGET_CUDA

* update supportBackend to be more rigorous

* remove stray include from preventing non-cuda build

* include op_cuda.hpp outside condition #if

* refactoring, fixes and many optimizations

* drop DNN_TARGET_CUDA_FP64

* fix gcc errors

* increase max. tensor rank limit to six

* add Interp layer

* drop custom layers; use BackendNode

* vectorize activation kernels

* fixes for gcc

* remove wrong assertion

* fix broken assertion in unpooling primitive

* fix build errors in non-CUDA build

* completely remove workspace from public API

* fix permute layer

* enable accuracy and perf. tests for DNN_TARGET_CUDA

* add asynchronous forward

* vectorize eltwise ops

* vectorize fill kernel

* fixes for gcc

* remove CSL headers from public API

* remove csl header source group from cmake

* update min. cudnn version in cmake

* add numerically stable FP32 log1pexp

* refactor code

* add FP16 specialization to cudnn based tensor addition

* vectorize scale1 and bias1 + minor refactoring

* fix doxygen build

* fix invalid alignment assertion

* clear backend wrappers before allocateLayers

* ignore memory lock failures

* do not allocate internal blobs

* integrate NVTX

* add numerically stable half precision log1pexp

* fix indentation, following coding style,  improve docs

* remove accidental modification of IE code

* Revert "add asynchronous forward"

This reverts commit 1154b9da9da07e9b52f8a81bdcea48cf31c56f70.

* [cmake] throw error for unsupported CC versions

* fix rebase issues

* add more docs, refactor code, fix bugs

* minor refactoring and fixes

* resolve warnings/errors from clang

* remove haveCUDA() checks from supportBackend()

* remove NVTX integration

* changes based on review comments

* avoid exception when no CUDA device is present

* add color code for CUDA in Net::dump
 2019-10-21 14:28:00 +03:00
Dmitry Kurtaev
af61a15839 Fix Darknet eltwise 2019-10-19 12:54:15 +03:00
Dmitry Kurtaev
adbd613660 Enable Eltwise layer with different numbers of inputs channels 2019-10-18 18:51:52 +03:00
Alexander Alekhin
626bfbf309 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-10-05 15:45:31 +00:00
Alexander Alekhin
6d811f9879 Merge pull request #15641 from alalek:dnn_pytest_update_3.4 2019-10-05 15:28:52 +00:00
Alexander Alekhin
feff8bf972 Merge pull request #15626 from alalek:dnn_openvino_2019r3 2019-10-04 19:45:37 +00:00
Alexander Alekhin
c13a5ce229 Merge pull request #15622 from dkurt:enet_ie_cpu 2019-10-04 16:31:05 +00:00
Alexander Alekhin
ab5252c18e dnn(pytest): backport changes from master, update test setUp() 2019-10-04 18:43:35 +03:00
Dmitry Kurtaev
e35fd463e7 Enable ENet with Inference Engine backend on CPU 2019-10-04 18:10:11 +03:00
Alexander Alekhin
fd11e3a81d dnn: update IE tests 2019-10-04 17:49:10 +03:00
Alexander Alekhin
f0058bbed3 dnn(test): fix optional test data 2019-10-04 17:26:35 +03:00
Alexander Alekhin
2b66495a9d dnn: use OpenVINO 2019R3 defines 2019-10-02 18:47:01 +03:00
Alexander Alekhin
3fb6617d62 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-10-02 17:49:19 +03:00
Alexander Alekhin
c06115cb3f Merge pull request #15619 from alalek:dnn_eltwise_sum_ie_ocl 2019-10-01 18:02:45 +00:00
Alexander Alekhin
8814645c8d dnn(test): skip IE/OCL test for "sum" 2019-10-01 18:29:47 +03:00
Alexander Alekhin
440a937d24 dnn: increase async test timeout 2019-10-01 13:31:57 +03:00
Dmitry Kurtaev
fba9fdfd27 Fix autodetection of input size for dnn networks 2019-09-30 16:05:15 +03:00
Alexander Alekhin
e2a5a6a05c Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-09-25 18:32:44 +00:00
Alexander Alekhin
7ce9428e96 Merge pull request #15580 from smbz:dnn-lstm-reverse 2019-09-25 15:54:06 +00:00
Andrew Ryrie
b88435fdc2 dnn: Allow LSTM layer to operate in reverse direction 
This is useful for bidirectional LSTMs.
 2019-09-25 14:12:43 +01:00
Lubov Batanina
e923712d81 Merge pull request #15572 from l-bat:deconv3d 
Fix computation of internal shapes in Deconvolution layer

* Fix computation of internal shapes

* Refactoring
 2019-09-25 15:35:04 +03:00
Alexander Alekhin
ee23a7575d Merge pull request #15515 from dkurt:dnn_detection_model_fix 2019-09-18 12:19:14 +00:00
Alexander Alekhin
b4c5b50a3e Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-09-13 17:15:45 +00:00