Alexander Alekhin
ca23c0e630
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2020-03-17 13:23:33 +03:00
Dmitry Kurtaev
b927ce18b2
Support for MobileNetV3-SSD from TensorFlow
2020-03-08 21:09:21 +03:00
YashasSamaga
98b5fb4b9f
disable MaskRCNN test for CUDA_FP16
2020-02-28 15:44:37 +05:30
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
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* Custom layers with nGraph
* nGraph: multiple outputs from nodes
2020-02-26 17:51:18 +03:00
Alexander Alekhin
96b26dc8f4
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2020-02-20 19:47:27 +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
aa2777ed61
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2020-02-10 19:40:29 +03:00
Alexander Alekhin
db9f4436e0
Merge pull request #16473 from ashishkrshrivastava:opencvtf
2020-02-09 11:52:24 +03:00
ashishiva3@gmail.com
cd53144ed3
commit: Corrected end tensor_content parsing for StridedSlice layer.
2020-02-09 06:43:23 +05:30
Alexander Alekhin
8ecfb59930
dnn(test): skip failed ngraph tests
2020-02-07 22:43:40 +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
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
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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
e9e3af0aaa
Add global pool by axis test
2020-01-10 11:32:48 +03:00
Yashas Samaga B L
1fac1421e5
Merge pull request #16010 from YashasSamaga:cuda4dnn-fp16-tests
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* 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
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
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* 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
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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
fd11e3a81d
dnn: update IE tests
2019-10-04 17:49:10 +03:00
Dmitry Kurtaev
0428f60d66
Fix OpenVINO 2019R1 compilation
2019-09-13 09:22:34 +03:00
Dmitry Kurtaev
ba703157cf
Merge pull request #15063 from dkurt:dnn_ie_ocv_layers
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* 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
Dmitry Kurtaev
57676cf64d
Fix https://github.com/opencv/opencv/issues/15141
2019-08-24 23:14:26 +03:00
Dmitry Kurtaev
e4a80aee09
Fix #15296
2019-08-14 19:44:05 +03:00
Dmitry Kurtaev
6193e403e7
Enable some tests for 2019R2
2019-08-07 09:07:53 +03:00
Dmitry Kurtaev
a0c3bb70a9
Modify SSD from TensorFlow graph generation script to enable MyriadX
2019-07-26 13:57:08 +03:00
Alexander Alekhin
416c693b3f
dnn(test): OpenVINO 2019R2
2019-07-25 19:01:16 +03:00
Lubov Batanina
781f4d439e
Merge pull request #15032 from l-bat:reduce_mean
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* 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
Liubov Batanina
0d2bc7b5fd
Fix TF Split layer
2019-07-17 15:50:50 +03:00
Lubov Batanina
8bcd7e122a
Merge pull request #14842 from l-bat:ocv_conv3d
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* 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
gal0is
206b546e5a
tensroflow support maxpoolgrad
2019-07-03 09:53:17 +08:00
Dmitry Kurtaev
75f4c1abf2
Enable some tests for Inference Engine backend
2019-06-28 15:52:31 +03:00
Alexander Alekhin
44d146af9a
Merge pull request #14814 from alalek:dnn_skip_test_tags
2019-06-25 22:00:25 +00:00
Feng Chen
5620306c70
Merge pull request #14845 from vonchenplus:ocv_mirrorpad
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* tensorflow support mirror pad
* revert macro define
* revert macro define
* reduce code duplication
* revert macro define
2019-06-24 12:27:42 +03:00
Alexander Alekhin
894f208de3
dnn(test): replace SkipTestException with tags
2019-06-23 13:12:23 +00:00
Alexander Alekhin
13a782c039
test: fix usage of findDataFile()
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misused 'optional' mode
2019-06-20 18:20:14 +03:00
Dmitry Kurtaev
dfdc91f8c9
dnn: fix MVN layer (issue 14683)
2019-06-14 18:38:05 +03:00
Dmitry Kurtaev
eba696a41e
Merge pull request #14792 from dkurt:dnn_ie_min_version_r5
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* Remove Inference Engine 2018R3 and 2018R4
* Fix 2018R5
2019-06-14 18:17:02 +03:00
Alexander Alekhin
805ab6331f
Merge pull request #14662 from dkurt:dnn_tf_fix_identity_switch
2019-05-30 20:22:17 +00:00
Alexander Alekhin
52548bde05
dnn(test): replace file content reading
2019-05-29 23:08:33 +03:00
Dmitry Kurtaev
081d9bc73f
Fix Identity Switch from Keras
2019-05-29 17:13:21 +03:00
Alexander Alekhin
38a3c1ce6b
dnn(test): update test tags for Debug build
2019-05-27 20:12:30 +00:00
Dmitry Kurtaev
26e426adb1
StridedSlice from TensorFlow
2019-05-22 12:45:52 +03:00
Liubov Batanina
dfa753c6b4
Support OCV backend
2019-05-14 16:44:57 +03:00
Liubov Batanina
dadb1473c1
Add BatchNorm3d layer
2019-05-14 12:44:48 +03:00
Alexander Alekhin
163d5e4d39
Merge pull request #14368 from dkurt:dnn_ie_tests
2019-04-30 19:35:00 +00:00
Alexander Alekhin
1c092a181d
Merge pull request #14454 from dkurt:dnn_tf_subgraph_fusion
2019-04-30 16:24:32 +00:00