Alexander Alekhin
901e0ddfe4
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2022-03-05 19:46:28 +00:00
Alexander Alekhin
5cc27fd3b5
Merge pull request #21542 from rogday:split_expand
2022-02-28 22:38:24 +00:00
Egor Smirnov
375fe81311
fix slice and expand
2022-02-28 17:18:07 +03:00
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
c3ac834526
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2021-09-11 21:27:26 +00:00
rogday
4807cd8a6e
Merge pull request #20605 from rogday:split_slice_shenanigans
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Add Normalize subgraph, fix Slice, Mul and Expand
* Add Normalize subgraph, support for starts<0 and axis<0 in Slice, Mul broadcasting in the middle and fix Expand's unsqueeze
* remove todos
* remove range-based for loop
* address review comments
* change >> to > > in template
* fix indexation
* fix expand that does nothing
2021-09-09 14:41:40 +03:00
Alexander Alekhin
5578ad5e14
dnn(ocl): fix automatic globalsize adjusting
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- if kernel code doesn't support that
2021-09-06 03:11:29 +00:00
SamFC10
fa90e14b06
int8 layers and 8-bit quantization support
2021-08-19 09:56:47 +05:30
Anastasia M
e08de1101d
Merge pull request #19693 from LupusSanctus:onnx_diagnostic
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ONNX diagnostic tool
* Final
* Add forgotten Normalize layer to the set of supported types
* ONNX diagnostic tool corrections
* Fixed CI test warnings
* Added code minor corrections
Co-authored-by: Sergey Slashchinin <sergei.slashchinin@xperience.ai>
2021-03-29 16:38:28 +00:00
Alexander Alekhin
35eaacd1db
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2021-03-27 15:35:16 +00:00
Anastasia M
3e48a91d97
Merge pull request #19546 from LupusSanctus:am/slice_steps
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* Added Steps support in DNN Slice layer
* Added code corrections
* dnn(slice): fix OCL and OCL_FP16 processing
2021-03-26 11:04:57 +00:00
Alexander Alekhin
6b474c4051
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2021-02-06 00:44:11 +00:00
Alexander Alekhin
83aa711346
dnn: rename clamp() => normalize_axis()
2021-02-04 08:13:55 +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
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* 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
fa25faa2d2
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2020-08-06 14:15:52 +00:00
Alexander Alekhin
1c8ee3f957
Merge pull request #17885 from alalek:dnn_ocl_slice_update
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DNN: OpenCL/slice update
* dnn(ocl/slice): make slice kernel VTune friendly
- more unique names
- inline code of copy functions
* dnn(ocl/slice): prefer to spawn more work groups
- even in case with 1D copy
- perf improvement up to 2x of kernel time (due to changed configuration 128x1x1 => 128x32x1)
* dnn(ocl/slice): cache kernel exec info
2020-08-03 14:13:34 +00:00
Alexander Alekhin
9b7b22ee0e
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2020-07-16 20:13:27 +00:00
Alexander Alekhin
81e027eef7
dnn: fix OpenCL implementation of Slice layer
2020-07-16 04:33:52 +00:00
Alexander Alekhin
524a2fffe9
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2020-07-06 23:05:04 +00:00
Alexander Alekhin
d5713c657b
dnn(slice): disable buggy OCV/OCL implementation
2020-07-06 21:36:19 +00:00
YashasSamaga
45a6386e45
port pr17222 changes to CUDA backend
2020-05-11 11:01:01 +05:30
Alexander Alekhin
09799402f9
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2020-05-06 19:53:51 +00:00
Dmitry Kurtaev
8b13b85c5e
dnn: Slice with variable input shapes
2020-05-05 13:35:17 +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
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- 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
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- 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
Liubov Batanina
4625337179
Add docs reduce mean
2020-01-10 12:49:06 +03:00
Liubov Batanina
e9e3af0aaa
Add global pool by axis test
2020-01-10 11:32:48 +03:00
Alexander Alekhin
92b9888837
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2019-12-12 13:02:19 +03:00
Liubov Batanina
d99d18304a
Slice v1 op
2019-12-06 09:56:21 +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
Lubov Batanina
0e1ef8f8e1
Merge pull request #15184 from l-bat:IE_R2
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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
Liubov Batanina
0d2bc7b5fd
Fix TF Split layer
2019-07-17 15:50:50 +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
Lubov Batanina
5e80191d27
Merge pull request #14697 from l-bat:Slice_ONNX
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* Support Slice layer in ONNX importer
* Add IE support
* Fix ONNX importer
* Fix Slice
2019-06-08 16:52:40 +03:00
Dmitry Kurtaev
44d21e5a79
Enable Slice layer on Inference Engine backend
2019-05-27 16:28:01 +03:00
Dmitry Kurtaev
f0ddf302b2
Move Inference Engine to new API
2019-01-17 14:28:48 +03:00
Alexander Alekhin
96c71dd3d2
dnn: reduce set of ignored warnings
2018-11-15 13:15:59 +03:00
Dmitry Kurtaev
24ab751547
Merge pull request #12565 from dkurt:dnn_non_intel_gpu
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* Remove isIntel check from deep learning layers
* Remove fp16->fp32 fallbacks where it's not necessary
* Fix Kernel::run to prevent localsize > globalsize
2018-09-26 16:27:00 +03:00
Dmitry Kurtaev
d486204a0d
Merge pull request #12264 from dkurt:dnn_remove_forward_method
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* Remove a forward method in dnn::Layer
* Add a test
* Fix tests
* Mark multiple dnn::Layer::finalize methods as deprecated
* Replace back dnn's inputBlobs to vector of pointers
* Remove Layer::forward_fallback from CV_OCL_RUN scopes
2018-09-06 13:26:47 +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
019c2f2115
Enable more deep learning tests
2018-07-05 14:23:15 +03:00
Dmitry Kurtaev
2c291bc2fb
Enable FastNeuralStyle and OpenFace networks with IE backend
2018-06-09 15:57:12 +03:00
Li Peng
3dd916882a
fp16 ocl support for googlenet
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-05-16 22:45:02 +08:00