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
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
...
* 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
...
* 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
...
* 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
...
* 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()
...
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
...
* 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
Lubov Batanina
77fa59c3da
Merge pull request #14301 from l-bat:conv3d
...
Support Convolution3D layer on IE backend (#14301 )
* Add Convolution3D layer
* Disable CXX11
* Fixed tests
* Add Pooling3D layer
* Merge Conv2d with Conv3d and Pool2d with Pool3d layers
* Split pads
* Add Deconvolution layer
* Refactoring
* Deduplication
* Refactoring
* Add utils for Convolution and Pooling layers
2019-04-30 17:08:17 +03:00
Dmitry Kurtaev
9408c3e640
Refactored TensorFlow subgraphs fusion
2019-04-30 09:21:05 +03:00
Dmitry Kurtaev
4f6be11c0e
Check if Inference Engine networks are fully supported by backend
2019-04-25 11:27:17 +03:00
Alexander Alekhin
4f764b812e
Merge pull request #14315 from dkurt:tf_squeeze_and_slim_softmax_v2
2019-04-18 16:01:24 +00:00
Dmitry Kurtaev
0cfd95c097
Fix TensorFlow's Squeeze and a new fusion for SoftMax from slim backend
2019-04-13 17:04:31 +03:00
Alexander Alekhin
64629cb94e
Merge pull request #12783 from alalek:test_tag
2019-04-12 15:35:41 +00:00
Dmitry Kurtaev
a2bbfa1db5
Enable some tests for Inference Engine 2019R1
2019-04-12 15:21:42 +03:00
Alexander Alekhin
e0841f3d6e
dnn(test-tags): add time / memory tags
2019-04-08 19:18:25 +00:00
Alexander Alekhin
bd43e4f28b
Merge pull request #14251 from dkurt:dnn_tf_manage_switch
2019-04-05 12:43:22 +00:00
Dmitry Kurtaev
ec41a4897a
Remove Switch and Merge nodes from TensorFlow networks
2019-04-05 12:32:35 +03:00
Alexander Alekhin
8483801eab
dnn: use OpenVINO 2019R1 defines
2019-04-03 15:39:47 +03:00
Lubov Batanina
7d3d6bc4e2
Merge pull request #13932 from l-bat:MyriadX_master_dldt
...
* 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
Dmitry Kurtaev
9cfd219d70
Fix Mobilenet v2 from TensorFlow slim
2019-03-27 15:10:57 +03:00
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
Dmitry Kurtaev
c918ac298c
Fix IE tests
2019-01-31 14:14:38 +03:00
Alexander Alekhin
400fd5c3ec
Merge pull request #13539 from dkurt:ie_graph_api
2019-01-18 16:00:18 +00:00
Lee Jaehwan
3721c8bb06
Merge pull request #13586 from eightco:Core_bugfix3
...
* Add Operator override for multi-channel Mat with literal constant.
* simple test
* Operator overloading channel constraint for primitive types
* fix some test for #13586
2019-01-17 17:23:09 +03:00
Dmitry Kurtaev
f0ddf302b2
Move Inference Engine to new API
2019-01-17 14:28:48 +03:00
Dmitry Kurtaev
59ce1d80a5
Fix dnn tests for Inference Engine R5
2018-12-21 12:33:30 +03:00
Dmitry Kurtaev
8422dda2c7
Element-wise subtraction from TensorFlow
2018-12-07 13:38:05 +03:00
