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
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
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
Dmitry Kurtaev
e35fd463e7
Enable ENet with Inference Engine backend on CPU
2019-10-04 18:10:11 +03:00
Dmitry Kurtaev
6193e403e7
Enable some tests for 2019R2
2019-08-07 09:07:53 +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
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
Dmitry Kurtaev
9c0af1f675
Enable more deconvolution layer configurations with IE backend
2019-06-03 08:15:52 +03:00
Alexander Alekhin
e0841f3d6e
dnn(test-tags): add time / memory tags
2019-04-08 19:18:25 +00:00
Lubov Batanina
7d3d6bc4e2
Merge pull request #13932 from l-bat:MyriadX_master_dldt
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* 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 Nesterov
74574dfae4
Added optimization fuse
2019-03-05 18:12:03 -01:00
Dmitry Kurtaev
ed710eaa1c
Make Inference Engine R3 as a minimal supported version
2019-02-21 09:32:26 +03:00
Liubov Batanina
183c0fcab1
Changed condition for resize and lrn layers
2019-02-14 13:11:14 +03:00
Liubov Batanina
6b4becfd03
Enabled tests on IE backend
2019-02-11 12:39:28 +03:00
Dmitry Kurtaev
f0ddf302b2
Move Inference Engine to new API
2019-01-17 14:28:48 +03:00
Alexander Alekhin
14633bc857
Merge pull request #13497 from dkurt:dnn_torch_bn_train
2018-12-21 14:29:10 +00:00
Dmitry Kurtaev
840c892abd
Batch normalization in training phase from Torch
2018-12-21 14:36:55 +03:00
Dmitry Kurtaev
59ce1d80a5
Fix dnn tests for Inference Engine R5
2018-12-21 12:33:30 +03:00
Dmitry Kurtaev
53f6198f27
Minor fixes in IE backend tests
2018-12-10 20:08:13 +03:00
Dmitry Kurtaev
b5c54e447c
Extra hyperparameters for Intel's Inference Engine layers
2018-11-15 20:06:37 +03:00
Dmitry Kurtaev
e7015f6ae8
Fix ENet test
2018-10-19 17:43:26 +03:00
Dmitry Kurtaev
58ac3e09da
Change default value of crop argument of blobFromImage from true to false
2018-09-12 19:02:58 +03:00
Vadim Pisarevsky
54279523a3
Merge pull request #12437 from vpisarev:avx2_fixes
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* trying to fix the custom AVX2 builder test failures (false alarms)
* fixed compile error with CPU_BASELINE=AVX2 on x86; raised tolerance thresholds in a couple of tests
* fixed compile error with CPU_BASELINE=AVX2 on x86; raised tolerance thresholds in a couple of tests
* fixed compile error with CPU_BASELINE=AVX2 on x86; raised tolerance thresholds in a couple of tests
* seemingly disabled false alarm warning in surf.cpp; increased tolerance thresholds in the tests for SolvePnP and in DNN/ENet
2018-09-06 18:56:55 +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
6ec230480d
Enable Myriad tests with batch size > 1
2018-09-05 10:45:09 +03:00
Dmitry Kurtaev
50bceea038
Include preprocessing nodes to object detection TensorFlow networks ( #12211 )
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* Include preprocessing nodes to object detection TensorFlow networks
* Enable more fusion
* faster_rcnn_resnet50_coco_2018_01_28 test
2018-08-31 15:41:56 +03:00
Dmitry Kurtaev
3e027df583
Enable more deep learning tests using Intel's Inference Engine backend
2018-08-27 18:37:35 +03:00
Dmitry Kurtaev
faa6c4e1e1
Faster-RCNN anf RFCN models on CPU using Intel's Inference Engine backend.
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Enable Torch layers tests with Intel's Inference Engine backend.
2018-07-25 19:04:55 +03:00
Alexander Alekhin
452fa3011c
dnn(test): drop CV_ENUM for DNNBackend / DNNTarget
2018-07-10 15:12:01 +03:00
Dmitry Kurtaev
019c2f2115
Enable more deep learning tests
2018-07-05 14:23:15 +03:00
Dmitry Kurtaev
40b85c1cd9
Remove undocumented feature to retreive layers outputs by indices
2018-06-20 14:44:21 +03:00
Dmitry Kurtaev
2c291bc2fb
Enable FastNeuralStyle and OpenFace networks with IE backend
2018-06-09 15:57:12 +03:00
Vadim Pisarevsky
3cbd2e2764
Merge pull request #11650 from dkurt:dnn_default_backend
2018-06-06 09:30:39 +00:00
Dmitry Kurtaev
b781ac7346
Make Intel's Inference Engine backend is default if no preferable backend is specified.
2018-06-04 18:31:46 +03:00
Kuang Fangjun
9ae28415ec
fix doc.
2018-06-03 17:44:24 +08:00
Dmitry Kurtaev
4ec456f0a0
Custom layers for deep learning networks ( #11129 )
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* Custom deep learning layers support
* Stack custom deep learning layers
2018-04-24 14:59:59 +03:00
Alexander Alekhin
f95e91e2bc
Merge pull request #11199 from dkurt:update_torch_testdata
2018-04-03 18:02:58 +00:00
Dmitry Kurtaev
818a91f4f7
Update Torch testdata
2018-03-31 12:04:44 +03:00
Dmitry Kurtaev
598039c0ed
Fix embedded Torch's nn.ConcatTable
2018-03-31 11:11:10 +03:00
Dmitry Kurtaev
0a61ebdd66
Replace DNNTarget and DNNBackend in tests
2018-03-07 12:59:38 +03:00
Dmitry Kurtaev
e1c3237532
Parametric OpenCL deep learning tests
2018-03-05 20:53:18 +03:00
Alexander Alekhin
4a297a2443
ts: refactor OpenCV tests
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- removed tr1 usage (dropped in C++17)
- moved includes of vector/map/iostream/limits into ts.hpp
- require opencv_test + anonymous namespace (added compile check)
- fixed norm() usage (must be from cvtest::norm for checks) and other conflict functions
- added missing license headers
2018-02-03 19:39:47 +00:00
Li Peng
2124361ff7
ocl support for Deconvolution layer
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-18 23:40:22 +08:00
Li Peng
e3b42bf93b
batch_norm and blank layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-09 21:58:46 +08:00
Li Peng
67f9406cbe
add normalize_bbox layer ocl implementation
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Signed-off-by: Li Peng <peng.li@intel.com>
2018-01-05 19:38:36 +08:00
Dmitry Kurtaev
6aabd6cc7a
Remove cv::dnn::Importer
2017-12-18 18:08:28 +03:00
