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224 Commits

Author SHA1 Message Date
Alexander Alekhin
d00e58cdb0 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-03-10 22:49:51 +00:00
Alexander Alekhin
db95aec4a7 dnn(ie): switch to nGraph backend by default 2020-03-10 14:33:22 +03:00
Alexander Alekhin
45d073f889 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-02-26 20:09:03 +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
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
4a19ac5aca Move instruction 2020-01-27 16:18:32 +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
Liubov Batanina
832ca0734d Refactoring 2020-01-22 10:52:40 +03:00
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
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
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
543e0302d3 Support global pooling by axis 2019-12-24 16:16:58 +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
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
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
b6a58818bb Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-11-11 20:25:42 +00:00
Alexander Alekhin
055ffc0425 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-10-24 18:21:19 +00:00
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
48d41ab088 dnn: bump API version 2019-09-02 14:25:18 +03:00
Alexander Alekhin
70dfae31a2 experimental version++ 2019-09-02 14:17:36 +03:00
luz.paz
fcc7d8dd4e Fix modules/ typos 
Found using `codespell -q 3 -S ./3rdparty -L activ,amin,ang,atleast,childs,dof,endwhile,halfs,hist,iff,nd,od,uint`

backporting of commit: ec43292e1e
 2019-08-16 17:34:29 +03:00
luz.paz
ec43292e1e Fix modules/ typos 
Found using `codespell -q 3 -S ./3rdparty -L activ,amin,ang,atleast,childs,dof,endwhile,halfs,hist,iff,nd,od,uint`
 2019-08-15 18:02:09 -04:00
Diego
f7f2438478 Merge pull request #15082 from dvd42:segmentation-module 
Segmentation module (#15082)
 2019-08-13 23:38:48 +03:00
Dmitry Kurtaev
a9839af903 Add preprocessing warps for separate parameters 2019-08-07 14:51:41 +03:00
Lubov Batanina
778f42ad34 Add high level API (Merge pull request #14780) 
* Add high level API

* Fix Model

* Add DetectionModel

* Add ClassificationModel

* Fix classify

* Add python test

* Fix pytest

* Fix comments to review

* Fix detect

* Fix docs

* Modify DetectionOutput postprocessing

* Fix test

* Extract ref boxes

* Fix draw rect

* fix test

* Add rect wrap

* Fix wrap

* Fix detect

* Fix Rect wrap

* Fix OCL_FP16

* Fix MyriadX

* Fix nms

* Fix NMS

* Fix coords
 2019-07-30 23:07:37 +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
Liubov Batanina
0d2bc7b5fd Fix TF Split layer 2019-07-17 15:50:50 +03:00
Alexander Alekhin
f84b08ff08 dnn: bump API version 2019-06-21 19:18:23 +03:00
Alexander Alekhin
f5ddaef46b experimental version++ 2019-06-21 16:57:17 +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
LaurentBerger
a3be8d7cd7 dead link 2019-05-27 21:57:10 +02:00
Alexander Alekhin
166ecaeda8 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-05-23 19:50:20 +03:00
Dmitry Kurtaev
26e426adb1 StridedSlice from TensorFlow 2019-05-22 12:45:52 +03:00
Alexander Alekhin
132253c9f3 dnn: use AsyncArray 2019-05-18 19:32:23 +00:00