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76 Commits

Author SHA1 Message Date
Alexander Alekhin
c3e8a82c9c Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-05-28 23:53:54 +00:00
Alexander Alekhin
e58e545584 Merge pull request #17392 from alalek:dnn_test_yolov4 2020-05-28 22:52:21 +00:00
Dmitry Kurtaev
d9bada9867 dnn: EfficientDet 2020-05-28 17:23:42 +03:00
Alexander Alekhin
6b89154afd dnn(test): add YOLOv4 tests 2020-05-28 13:27:40 +00:00
Alexander Alekhin
8108fb0575 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-12-05 18:27:45 +03:00
Dmitry Kurtaev
d8e10f3a8d Enable MaxPooling with indices in Inference Engine 2019-12-04 19:14:55 +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
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
Alexander Alekhin
2ad0487cec Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-08-13 18:32:29 +00:00
Dmitry Kurtaev
6193e403e7 Enable some tests for 2019R2 2019-08-07 09:07:53 +03:00
Alexander Alekhin
174b4ce29d Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-08-05 18:11:43 +00:00
Dmitry Kurtaev
a0c3bb70a9 Modify SSD from TensorFlow graph generation script to enable MyriadX 2019-07-26 13:57:08 +03:00
Alexander Alekhin
0cf479dd5c Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-07-25 19:21:47 +00:00
Alexander Alekhin
416c693b3f dnn(test): OpenVINO 2019R2 2019-07-25 19:01:16 +03:00
Alexander Alekhin
f6c573880e Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-07-12 18:45:06 +00:00
Lubov Batanina
8bcd7e122a Merge pull request #14842 from l-bat:ocv_conv3d 
* Support Conv3D on OCV backend

* Add header

* Add perf tests

* Support pool3d

* Enable Resnet34_kinetics on OCV backend

* Add test

* Fix conv

* Optimize Conv2D
 2019-07-11 20:13:52 +03:00
Alexander Alekhin
b95e93c20a Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-06-26 20:19:04 +00:00
Alexander Alekhin
13a782c039 test: fix usage of findDataFile() 
misused 'optional' mode
 2019-06-20 18:20:14 +03:00
Alexander Alekhin
f3de2b4be7 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-06-05 19:11:52 +03:00
Dmitry Kurtaev
9c0af1f675 Enable more deconvolution layer configurations with IE backend 2019-06-03 08:15:52 +03:00
Alexander Alekhin
43467a2ac7 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-05-28 18:29:48 +00:00
Dmitry Kurtaev
44d21e5a79 Enable Slice layer on Inference Engine backend 2019-05-27 16:28:01 +03:00
Alexander Alekhin
4001346a30 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-04-03 19:33:52 +00:00
Alexander Alekhin
cafa010389 dnn(test): skip tests 2019-04-03 17:49:05 +03:00
Alexander Alekhin
33dde339fe Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-04-01 18:11:55 +03:00
Alexander Alekhin
fcb07c64f3 cmake: fix build of dnn tests with shared common code 
- don't share .cpp files (PCH support is broken)
 2019-03-31 08:52:25 +00:00
Alexander Alekhin
7442100caa Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-03-29 19:29:36 +00:00
Lubov Batanina
7d3d6bc4e2 Merge pull request #13932 from l-bat:MyriadX_master_dldt 
* Fix precision in tests for MyriadX

* Fix ONNX tests

* Add output range in ONNX tests

* Skip tests on Myriad OpenVINO 2018R5

* Add detect MyriadX

* Add detect MyriadX on OpenVINO R5

* Skip tests on Myriad next version of OpenVINO

* dnn(ie): VPU type from environment variable

* dnn(test): validate VPU type

* dnn(test): update DLIE test skip conditions
 2019-03-29 16:42:58 +03:00
Alexander Alekhin
c3cf35ab63 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-02-26 17:34:42 +03:00
Dmitry Kurtaev
ed710eaa1c Make Inference Engine R3 as a minimal supported version 2019-02-21 09:32:26 +03:00
Alexander Alekhin
8bde6aea4b Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-02-19 19:49:13 +00:00
Liubov Batanina
183c0fcab1 Changed condition for resize and lrn layers 2019-02-14 13:11:14 +03:00
Alexander Alekhin
631b246881 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-01-22 18:00:34 +00:00
Dmitry Kurtaev
f0ddf302b2 Move Inference Engine to new API 2019-01-17 14:28:48 +03:00
Alexander Alekhin
e82e672a93 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-12-06 07:06:58 +00:00
Maksim Shabunin
fe459c82e5 Merge pull request #13332 from mshabunin:dnn-backends 
DNN backends registry (#13332)

* Added dnn backends registry

* dnn: process DLIE/FPGA target
 2018-12-05 18:11:45 +03:00
Alexander Alekhin
7fa7fa0226 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-11-21 08:33:39 +00:00
Dmitry Kurtaev
0d117312c9 DNN_TARGET_FPGA using Intel's Inference Engine 2018-11-19 11:41:43 +03:00
Alexander Alekhin
22dbcf98c5 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-11-17 14:17:35 +00:00
Alexander Alekhin
96c71dd3d2 dnn: reduce set of ignored warnings 2018-11-15 13:15:59 +03:00
Alexander Alekhin
edacd91a27 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-10-15 20:15:42 +00:00
tompollok
0b77600718 change area() emptiness checks to empty() 2018-10-13 21:35:10 +02:00
Alexander Alekhin
d74b98c3d9 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-09-04 18:39:03 +00:00
Jakub Golinowski
9f1218b00b Merge pull request #11897 from Jakub-Golinowski:hpx_backend 
* Add HPX backend for OpenCV implementation
Adds hpx backend for cv::parallel_for_() calls respecting the nstripes chunking parameter. C++ code for the backend is added to modules/core/parallel.cpp. Also, the necessary changes to cmake files are introduced.
Backend can operate in 2 versions (selectable by cmake build option WITH_HPX_STARTSTOP): hpx (runtime always on) and hpx_startstop (start and stop the backend for each cv::parallel_for_() call)

* WIP: Conditionally include hpx_main.hpp to tests in core module
Header hpx_main.hpp is included to both core/perf/perf_main.cpp and core/test/test_main.cpp.
The changes to cmake files for linking hpx library to above mentioned test executalbles are proposed but have issues.

* Add coditional iclusion of hpx_main.hpp to cpp cpu modules

* Remove start/stop version of hpx backend
 2018-08-31 16:23:26 +03:00
Alexander Alekhin
c557193b8c dnn(test): use dnnBackendsAndTargets() param generator 2018-08-31 15:11:58 +03:00
Alexander Alekhin
3e6b3a6856 dnn(perf): fix and merge Convolution tests 
- OpenCL tests didn't run any OpenCL kernels
- use real configuration from existed models (the first 100 cases)
- batch size = 1
 2018-08-31 15:02:19 +03:00
Dmitry Kurtaev
8e034053af Faster-RCNN from TensorFlow on CPU with Intel's Inference Engine backend 2018-08-01 11:29:58 +03:00
Dmitry Kurtaev
2c291bc2fb Enable FastNeuralStyle and OpenFace networks with IE backend 2018-06-09 15:57:12 +03:00
Dmitry Kurtaev
40765c5f8d Enable SSD models from TensorFlow with OpenCL plugin of Intel's Inference Engine 2018-06-08 16:55:21 +03:00