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320 Commits

Author SHA1 Message Date
Ilya Churaev
aa11f7d8a3 Removed get_output_as_single_output_node method 
backported commit: 5fd3d36fe8
 2020-10-05 20:24:21 +00:00
Alexander Alekhin
a00fe15abd dnn: check for empty Net in .forward() 2020-10-05 06:23:47 +00:00
NesQl
3fc1487cc9
Merge pull request #18323 from liqi-c:tengine-lite-update 
Tengine lite update

* update tengine

* Modify for arm32 build.

* format optimization

* add teng_ befor some tengine api

* update graph_t to teng_graph_t

* update graph_t to teng_graph_t

* Code structure optimization

* optimization

* optimization

* remove space

* update tengine url

Co-authored-by: liqi <qli@openailab.com>
 2020-09-23 09:34:29 +00:00
Alexander Alekhin
7e019af50d checks and fixes from static code analyzers results (2) 2020-09-03 18:28:27 +00:00
Yashas Samaga B L
2171cae8ff
Merge pull request #17976 from YashasSamaga:dnn-fusion-tests-fix-ocl 
dnn: add exhaustive fusion tests, enable more eltwise fusions

* add eltwise fusion tests, enable more eltwise fusions

* merge weighted eltwise tests with eltwise tests
 2020-08-13 10:55:41 +00:00
Ilya Churaev
5fd3d36fe8
Removed get_output_as_single_output_node method 2020-08-04 08:18:38 +03:00
Yashas Samaga B L
f53f491cd2
Merge pull request #17939 from YashasSamaga:cuda4dnn-fix-eltwise-fusion 
* fix eltwise fusion segfault, more eltwise fusions, fix power fusion

* add assertion
 2020-08-01 15:03:07 +03:00
YashasSamaga
1949056423 improved diagnostics for build issues 2020-07-13 21:09:38 +05:30
YashasSamaga
37e2afb8f6 fix concat fusion for cuda4dnn 2020-07-09 19:40:44 +05:30
Yashas Samaga B L
d0e6d2438c
Merge pull request #17363 from YashasSamaga:cuda4dnn-eltwise-fusion2 
cuda4dnn(conv): fuse eltwise with convolutions

* fuse eltwise with convolutions

* manually rebase to avoid bad git merge
 2020-07-09 16:02:21 +03:00
Alexander Alekhin
44d473fba0 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-07-08 21:03:43 +00:00
Alexander Alekhin
988bc804bf Merge pull request #17748 from YashasSamaga:cuda4dnn-data-parallel 2020-07-08 20:20:19 +00:00
YashasSamaga
cbdaa93e54 reduce slice, concat to copy; enable more concat fusions 2020-07-05 20:52:35 +05:30
YashasSamaga
b7eec216e9 generalize axis for concat fusion 2020-07-04 18:57:28 +05:30
YashasSamaga
4988e131fd transfer output blobs in background 2020-07-04 12:55:12 +05:30
Ilya Lavrenov
e58ce89b10 Conditional compilation for IR v7 support 
backported commit 86905754e4
 2020-06-25 10:05:14 +00:00
Ilya Lavrenov
86905754e4 Conditional compilation for IR v7 support 2020-06-25 11:32:10 +03:00
Alexander Alekhin
0cbaaba4b1 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-06-12 22:20:50 +00:00
Alexander Alekhin
d2a9efd039 dnn: use OpenVINO 2020.3 defines 2020-06-12 20:24:08 +00:00
Maksim Shabunin
9096b1c768 dnn/NGraph: added nullptr checks 2020-06-10 13:48:24 +03:00
Maksim Shabunin
7ce518106b dnn/NGraph: added nullptr checks 2020-06-09 11:10:36 +03:00
Alexander Alekhin
7722a2b8a8 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-06-04 17:58:34 +00:00
Alexander Alekhin
be1a121d0d dnn(ie): fix layers extraction 2020-06-01 21:57:39 +00:00
Alexander Alekhin
c3e8a82c9c Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-05-28 23:53:54 +00:00
Alexander Alekhin
f0bef94a03 dnn: update network dump code, include ngraph serialization 2020-05-26 12:49:22 +00:00
YashasSamaga
b3a261c7ce set stream at the site of creation 2020-05-24 19:01:17 +05:30
Alexander Alekhin
152e6476d9 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-04-24 19:02:39 +00:00
Alexander Alekhin
2df978b8e7 Merge pull request #17134 from alalek:dnn_ie_avoid_conversion_to_legacy 2020-04-23 22:39:45 +00:00
Alexander Alekhin
f756923271 dnn(ie): avoid conversion to legacy CNNNetworkImpl 2020-04-23 19:11:33 +00:00
Alexander Alekhin
83c4378d5d dnn(test): skip failed NGRAPH/MYRIAD tests 2020-04-22 15:00:23 +00:00
Alexander Alekhin
bfcc136dc7 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-04-21 21:32:51 +00:00
Dmitry Kurtaev
908bf935f7 Flexible inputs for OpenVINO IR models 2020-04-18 20:00:22 +03:00
Alexander Alekhin
b8579f12be Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-04-08 10:19:09 +00:00
Alexander Alekhin
ce5626db45 Merge pull request #16878 from dkurt:fix_16877 2020-04-06 18:14:35 +00:00
Alexander Alekhin
763a1d7392 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-04-06 15:57:43 +00:00
Liubov Batanina
a448d3a6aa Fix ENet test with OpenVINO 2020.2 2020-04-06 17:29:43 +03:00
Dmitry Kurtaev
8574a757f9 Case sensitive dnn layers types 2020-04-04 15:03:56 +03:00
YashasSamaga
4e8cd4629c fix CUDNN_STATUS_NOT_SUPPORTED, remove redundant fusion checks 2020-03-23 19:47:00 +05:30
Alexander Alekhin
ca23c0e630 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-03-17 13:23:33 +03:00
Alexander Alekhin
9b64eadcb6 dnn(ie): separate IECore for different devices 
- HETERO plugin doesn't switch well between devices
 2020-03-13 18:49:28 +03:00
Alexander Alekhin
124bf8339f dnn(IE): use HAVE_DNN_IE_NN_BUILDER_2019 for NN Builder API code 
- CMake option: OPENCV_DNN_IE_NN_BUILDER_2019
 2020-03-03 08:07:54 +00:00
Alexander Alekhin
29d214474f dnn(IE): use HAVE_DNN_IE_NN_BUILDER_2019 for NN Builder API code 
- CMake option: OPENCV_DNN_IE_NN_BUILDER_2019
 2020-03-03 07:45:09 +00:00
Alexander Alekhin
45d073f889 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-02-26 20:09:03 +03:00
Dmitry Kurtaev
d8dea7896b
Merge pull request #16628 from dkurt:dnn_ngraph_custom_layers 
* Custom layers with nGraph

* nGraph: multiple outputs from nodes
 2020-02-26 17:51:18 +03:00
Alexander Alekhin
01048e5603
Merge pull request #16616 from alalek:dnn_fix_input_shape 
* dnn: fix processing of input shapes

- importer: avoid using of .setInput() => .setInputShape()
- setInput: shape limitation check (partial)

* dnn(test): test .setInput() in readNet()
 2020-02-21 22:39:54 +03:00
Alexander Alekhin
96b26dc8f4 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-02-20 19:47:27 +03:00
Yashas Samaga B L
1f695c4532
Merge pull request #16161 from YashasSamaga:cuda4dnn-concat-fusion 
cuda4dnn(concat): write outputs from previous layers directly into concat's output

* eliminate concat by directly writing to its output buffer

* fix concat fusion not happening sometimes

* use a whitelist instead of a blacklist
 2020-02-20 15:43:05 +03:00
Dmitry Kurtaev
f3eef792eb Enable Mask R-CNN with Inference Engine. Full coverage with nGraph 2020-02-20 10:13:40 +03:00
Alexander Alekhin
f3237fdc6e Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-02-14 19:54:59 +03:00
Alexander Alekhin
6eba1a4d44 dnn: auto network dump through parameter 2020-02-05 21:46:32 +00:00
Alexander Alekhin
fa4871b013 dnn: don't require setInput in .dump() 2020-02-05 21:28:07 +00:00
Alexander Alekhin
3d14dd4e39 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-01-22 16:58:30 +03:00
Alexander Alekhin
2638c5e9b7 dnn: dump layer's blobs on getMemoryShapes() error 2020-01-16 14:59:47 +03:00
Dmitry Kurtaev
d92a883de1 Different way to reset Myriad device 2020-01-15 18:52:37 +03:00
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
Alexander Alekhin
4cb9faf6c9 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-01-14 17:04:22 +03:00
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
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
antalzsiroscandid
aa80f754f4 dnn: reading IR models from buffer 2019-12-18 15:31:08 +01:00
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
Alexander Alekhin
92b9888837 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-12-12 13:02:19 +03:00
Alexander Alekhin
b1b505f783 dnn: clarify error message from getMemoryShapes() 2019-12-08 22:17:24 +00:00
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
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
Alexander Alekhin
b6a58818bb Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-11-11 20:25:42 +00:00
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
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
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
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
b4c5b50a3e Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-09-13 17:15:45 +00:00
Dmitry Kurtaev
0428f60d66 Fix OpenVINO 2019R1 compilation 2019-09-13 09:22:34 +03:00
Alexander Alekhin
bea2c75452 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-09-05 14:29:22 +03:00
Dmitry Kurtaev
ba703157cf Merge pull request #15063 from dkurt:dnn_ie_ocv_layers 
* Wrap unsupported by IE layers as custom layers

* Replace pointers to layers blobs to their shapes

* Enable Faster R-CNN with IE backend on CPU
 2019-09-03 18:58:57 +03:00
Alexander Alekhin
2ad0487cec Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-08-13 18:32:29 +00:00
Lubov Batanina
f1ea9d86b9 Merge pull request #15203 from l-bat:determine_inp_shape 
* Determine input shapes

* Add test

* Remove getInputShapes

* Fix model

* Fix constructors

* Add Caffe test

* Fix predict
 2019-08-09 19:51:42 +03:00
Lubov Batanina
0e1ef8f8e1 Merge pull request #15184 from l-bat:IE_R2 
Support new IE API (#15184)

* Add support OpenVINO R2 for layers

* Add Core API

* Fix tests

* Fix expectNoFallbacksFromIE for ONNX nets

* Remove deprecated API

* Remove td

* Remove TargetDevice

* Fix Async

* Add test

* Fix detectMyriadX

* Fix test

* Fix warning
 2019-08-06 22:20:26 +03:00
Alexander Alekhin
426482e05b Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-07-21 18:06:04 +00:00
Lubov Batanina
781f4d439e Merge pull request #15032 from l-bat:reduce_mean 
* Added support for the ONNX "ReduceMean" Layer. (as this is the same as the GlobalAveragePool)

* Add ReduceMean test

* Fix ONNX importer

* Fix ReduceMean

* Add assert

* Split test

* Fix split test
 2019-07-19 19:18:34 +03:00
Alexander Alekhin
199ddff13b Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-07-18 20:25:25 +00:00
Lubov Batanina
12fdaf895e Merge pull request #15057 from l-bat:fix_vizualizer 
* Fix dumpToFile

* Add test

* Fix test
 2019-07-18 18:41:08 +03:00
Alexander Alekhin
66d7956e67 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-06-15 16:25:11 +00:00
Dmitry Kurtaev
eba696a41e Merge pull request #14792 from dkurt:dnn_ie_min_version_r5 
* Remove Inference Engine 2018R3 and 2018R4

* Fix 2018R5
 2019-06-14 18:17:02 +03:00
Alexander Alekhin
11b020b9f9 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-06-10 19:05:28 +00:00
Alexander Alekhin
6d916c5bb4 Merge pull request #14440 from alalek:async_array 2019-06-08 20:57:15 +00:00
Alexander Alekhin
43467a2ac7 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-05-28 18:29:48 +00:00
Lubov Batanina
61d3222a22 Merge pull request #14537 from l-bat:fix_network_vizualizer 
Fix dnn visualizer (#14537)

* Fixed print layer params

* Fix print
 2019-05-27 19:17:07 +03:00
Alexander Alekhin
132253c9f3 dnn: use AsyncArray 2019-05-18 19:32:23 +00:00
Alexander Alekhin
e21262deba Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-05-16 04:40:39 +00:00
Dmitry Kurtaev
c3b0a68a2b Async mode for dnn's object detection sample 2019-05-14 09:58:47 +03:00
Alexander Alekhin
e28e3c9491 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-05-01 08:27:45 +00:00
Lubov Batanina
77fa59c3da Merge pull request #14301 from l-bat:conv3d 
Support Convolution3D layer on IE backend (#14301)

* Add Convolution3D layer

* Disable CXX11

* Fixed tests

* Add Pooling3D layer

* Merge Conv2d with Conv3d and Pool2d with Pool3d layers

* Split pads

* Add Deconvolution layer

* Refactoring

* Deduplication

* Refactoring

* Add utils for Convolution and Pooling layers
 2019-04-30 17:08:17 +03:00