Commit Graph

127 Commits

Author SHA1 Message Date
Zihao Mu
7b582b71ba
Merge pull request #21036 from fengyuentau:timvx_backend_support
dnn: TIM-VX NPU backend support

* Add TimVX NPU backend for DNN module.

* use official branch from tim-vx repo; fix detecting viv sdk

Co-authored-by: fytao <yuantao.feng@outlook.com>
2022-03-31 21:42:11 +00:00
Alexander Alekhin
19926e2979 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2022-02-11 17:32:37 +00:00
Alexander Alekhin
effce0573b dnn: drop legacy Inference Engine NN builder API 2022-02-10 11:55:24 +00:00
Alexander Alekhin
217fea9667 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2021-12-24 16:48:07 +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
Hanxi Guo
1fcf7ba5bc
Merge pull request #20406 from MarkGHX:gsoc_2021_webnn
[GSoC] OpenCV.js: Accelerate OpenCV.js DNN via WebNN

* Add WebNN backend for OpenCV DNN Module

Update dnn.cpp

Update dnn.cpp

Update dnn.cpp

Update dnn.cpp

Add WebNN head files into OpenCV 3rd partiy files

Create webnn.hpp

update cmake

Complete README and add OpenCVDetectWebNN.cmake file

add webnn.cpp

Modify webnn.cpp

Can successfully compile the codes for creating a MLContext

Update webnn.cpp

Update README.md

Update README.md

Update README.md

Update README.md

Update cmake files and

update README.md

Update OpenCVDetectWebNN.cmake and README.md

Update OpenCVDetectWebNN.cmake

Fix OpenCVDetectWebNN.cmake and update README.md

Add source webnn_cpp.cpp and libary libwebnn_proc.so

Update dnn.cpp

Update dnn.cpp

Update dnn.cpp

Update dnn.cpp

update dnn.cpp

update op_webnn

update op_webnn

Update op_webnn.hpp

update op_webnn.cpp & hpp

Update op_webnn.hpp

Update op_webnn

update the skeleton

Update op_webnn.cpp

Update op_webnn

Update op_webnn.cpp

Update op_webnn.cpp

Update op_webnn.hpp

update op_webnn

update op_webnn

Solved the problems of released variables.

Fixed the bugs in op_webnn.cpp

Implement op_webnn

Implement Relu by WebNN API

Update dnn.cpp for better test

Update elementwise_layers.cpp

Implement ReLU6

Update elementwise_layers.cpp

Implement SoftMax using WebNN API

Implement Reshape by WebNN API

Implement PermuteLayer by WebNN API

Implement PoolingLayer using WebNN API

Update pooling_layer.cpp

Update pooling_layer.cpp

Update pooling_layer.cpp

Update pooling_layer.cpp

Update pooling_layer.cpp

Update pooling_layer.cpp

Implement poolingLayer by WebNN API and add more detailed logs

Update dnn.cpp

Update dnn.cpp

Remove redundant codes and add more logs for poolingLayer

Add more logs in the pooling layer implementation

Fix the indent issue and resolve the compiling issue

Fix the build problems

Fix the build issue

FIx the build issue

Update dnn.cpp

Update dnn.cpp

* Fix the build issue

* Implement BatchNorm Layer by WebNN API

* Update convolution_layer.cpp

This is a temporary file for Conv2d layer implementation

* Integrate some general functions into op_webnn.cpp&hpp

* Update const_layer.cpp

* Update convolution_layer.cpp

Still have some bugs that should be fixed.

* Update conv2d layer and fc layer

still have some problems to be fixed.

* update constLayer, conv layer, fc layer

There are still some bugs to be fixed.

* Fix the build issue

* Update concat_layer.cpp

Still have some bugs to be fixed.

* Update conv2d layer, fully connected layer and const layer

* Update convolution_layer.cpp

* Add OpenCV.js DNN module WebNN Backend (both using webnn-polyfill and electron)

* Delete bib19450.aux

* Add WebNN backend for OpenCV DNN Module

Update dnn.cpp

Update dnn.cpp

Update dnn.cpp

Update dnn.cpp

Add WebNN head files into OpenCV 3rd partiy files

Create webnn.hpp

update cmake

Complete README and add OpenCVDetectWebNN.cmake file

add webnn.cpp

Modify webnn.cpp

Can successfully compile the codes for creating a MLContext

Update webnn.cpp

Update README.md

Update README.md

Update README.md

Update README.md

Update cmake files and

update README.md

Update OpenCVDetectWebNN.cmake and README.md

Update OpenCVDetectWebNN.cmake

Fix OpenCVDetectWebNN.cmake and update README.md

Add source webnn_cpp.cpp and libary libwebnn_proc.so

Update dnn.cpp

Update dnn.cpp

Update dnn.cpp

Update dnn.cpp

update dnn.cpp

update op_webnn

update op_webnn

Update op_webnn.hpp

update op_webnn.cpp & hpp

Update op_webnn.hpp

Update op_webnn

update the skeleton

Update op_webnn.cpp

Update op_webnn

Update op_webnn.cpp

Update op_webnn.cpp

Update op_webnn.hpp

update op_webnn

update op_webnn

Solved the problems of released variables.

Fixed the bugs in op_webnn.cpp

Implement op_webnn

Implement Relu by WebNN API

Update dnn.cpp for better test

Update elementwise_layers.cpp

Implement ReLU6

Update elementwise_layers.cpp

Implement SoftMax using WebNN API

Implement Reshape by WebNN API

Implement PermuteLayer by WebNN API

Implement PoolingLayer using WebNN API

Update pooling_layer.cpp

Update pooling_layer.cpp

Update pooling_layer.cpp

Update pooling_layer.cpp

Update pooling_layer.cpp

Update pooling_layer.cpp

Implement poolingLayer by WebNN API and add more detailed logs

Update dnn.cpp

Update dnn.cpp

Remove redundant codes and add more logs for poolingLayer

Add more logs in the pooling layer implementation

Fix the indent issue and resolve the compiling issue

Fix the build problems

Fix the build issue

FIx the build issue

Update dnn.cpp

Update dnn.cpp

* Fix the build issue

* Implement BatchNorm Layer by WebNN API

* Update convolution_layer.cpp

This is a temporary file for Conv2d layer implementation

* Integrate some general functions into op_webnn.cpp&hpp

* Update const_layer.cpp

* Update convolution_layer.cpp

Still have some bugs that should be fixed.

* Update conv2d layer and fc layer

still have some problems to be fixed.

* update constLayer, conv layer, fc layer

There are still some bugs to be fixed.

* Update conv2d layer, fully connected layer and const layer

* Update convolution_layer.cpp

* Add OpenCV.js DNN module WebNN Backend (both using webnn-polyfill and electron)

* Update dnn.cpp

* Fix Error in dnn.cpp

* Resolve duplication in conditions in convolution_layer.cpp

* Fixed the issues in the comments

* Fix building issue

* Update tutorial

* Fixed comments

* Address the comments

* Update CMakeLists.txt

* Offer more accurate perf test on native

* Add better perf tests for both native and web

* Modify per tests for better results

* Use more latest version of Electron

* Support latest WebNN Clamp op

* Add definition of HAVE_WEBNN macro

* Support group convolution

* Implement Scale_layer using WebNN

* Add Softmax option for native classification example

* Fix comments

* Fix comments
2021-11-23 21:15:31 +00:00
SamFC10
fa90e14b06 int8 layers and 8-bit quantization support 2021-08-19 09:56:47 +05:30
Alexander Alekhin
ca8c3dd9b5 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2021-03-22 12:05:23 +00:00
Liubov Batanina
c0dd82fb53
Merge pull request #19632 from l-bat:lb/ie_arm_target
Added OpenVINO ARM target

* Added IE ARM target

* Added OpenVINO ARM target

* Delete ARM target

* Detect ARM platform

* Changed device name in ArmPlugin

* Change ARM detection
2021-03-20 11:20:02 +00:00
Maksim Shabunin
b2321576bc Fixed several issues found by static analysis 2021-02-25 15:44:15 +03:00
Maksim Shabunin
dd5976162b Fixed several issues found by static analysis 2021-02-25 15:08:39 +03:00
Sergey Slashchinin
e2949c7d0a Align 3.4 branch with master 2021-01-29 23:48:08 +03:00
Sergei Slashchinin
ea41f89b40
Merge pull request #19058 from sl-sergei:cuda_1d
Conv1D and Pool1D for CUDA backend

* CUDA-independent changes

* Add Conv1D and Pool1D for CUDA backend

* CUDA-independent changes

* Fix typo

* fix comment

* Update fix

* make changes more correct for pooling layer

* Minor fixes for review

* Split skip blocks
2021-01-21 22:16:56 +00:00
Alexander Alekhin
dd1494eebf Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-12-11 19:27:20 +00:00
Alexander Alekhin
d84a9484b7 dnn: fix build with Halide, skip tests with crashes 2020-12-10 18:23:24 +00:00
Sergei Slashchinin
9cef41000a
Merge pull request #18973 from sl-sergei:fix_vulkan_build
* Fix build when HAVE_VULKAN is ON

* Fix warnings
2020-12-01 12:52:09 +00:00
Alexander Alekhin
2155296a13 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-11-27 14:08:06 +00:00
Sergei Slashchinin
f4f462c50b
Merge pull request #18862 from sl-sergei:support_pool1d
Support for Pool1d layer for OpenCV and OpenCL targets

* Initial version of Pool1d support

* Fix variable naming

* Fix 1d pooling for OpenCL

* Change support logic, remove unnecessary variable, split the tests

* Remove other depricated variables

* Fix warning. Check tests

* Change support check logic

* Change support check logic, 2
2020-11-24 16:52:45 +00:00
Alexander Alekhin
ce8027c6fb Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-11-17 21:56:26 +00:00
Omar Alzaibaq
a316b11aaa
Merge pull request #18220 from Omar-AE:hddl-supported
* added HDDL VPU support

* changed to return True in one line if any device connected

* dnn: use releaseHDDLPlugin()

* dnn(hddl): fix conditions
2020-11-17 19:47:24 +00:00
Sergey Slashchinin
32e7ef8a3d Add fixes and tests for different layers 2020-11-17 13:39:32 +03:00
Alexander Alekhin
b45273eccb Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-08-14 19:45:45 +00:00
Liubov Batanina
f3cebb3e1b
Merge pull request #18077 from l-bat:reduce_sum
* Supported ReduceSum op

* Skip test
2020-08-12 14:32:16 +00:00
Ilya Churaev
d69a7a3bbf Fixed header paths for some nGraph ops
* Added dependency on IE version

backport of commit: 992c908b56
2020-07-06 19:51:57 +00:00
Ilya Churaev
992c908b56
Merge pull request #17756 from ilyachur:feature/ichuraev/fix_ngraph_headers
* Fixed header paths for some nGraph ops

* Added dependency on IE version
2020-07-06 08:11:59 +00:00
Alexander Alekhin
2cef100303 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-04-16 18:28:27 +00:00
Dmitry Kurtaev
870a775d7d Align DLIE and nGraph average pooling layers 2020-04-14 13:54:54 +03:00
Alexander Alekhin
619180dffd Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-03-06 20:41:30 +00:00
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
560f85f8e5 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-01-28 14:26:57 +03:00
Alexander Alekhin
5429b1f5ff Merge pull request #16223 from l-bat:lip_jppnet 2020-01-27 19:17:43 +00:00
Liubov Batanina
d9474648f0 Fix diff 2020-01-24 11:00:06 +03:00
Liubov Batanina
55b03dcaba Refactoring 2020-01-23 10:25:41 +03:00
Liubov Batanina
832ca0734d Refactoring 2020-01-22 10:52:40 +03:00
Liubov Batanina
d825caf18e Update check params 2020-01-21 10:09:24 +03:00
Liubov Batanina
08ba63da02 Add global pool flags 2020-01-20 15:37:11 +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
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
7eba3a7c96 Add pack description 2020-01-09 13:59:35 +03:00
Liubov Batanina
752653c70b Update global pooling 2019-12-28 18:03:40 +03:00
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
9b8ddba4d1 add ROIPoolingOp 2019-12-06 18:19:37 +05:30
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
626bfbf309 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-10-05 15:45:31 +00:00