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79 Commits

Author SHA1 Message Date
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
626bfbf309 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-10-05 15:45:31 +00:00
Dmitry Kurtaev
e35fd463e7 Enable ENet with Inference Engine backend on CPU 2019-10-04 18:10:11 +03:00
Alexander Alekhin
2ad0487cec Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-08-13 18:32:29 +00:00
Lubov Batanina
0e1ef8f8e1 Merge pull request #15184 from l-bat:IE_R2 
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
Alexander Alekhin
f6c573880e Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-07-12 18:45:06 +00:00
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
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
b2abd8ca41 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-05-07 16:04:54 +00:00
Dmitry Kurtaev
471b83ccd5 Modify paddings computation for SAME pad mode 2019-05-06 10:49:10 +03:00
Alexander Alekhin
e28e3c9491 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-05-01 08:27:45 +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
Alexander Alekhin
4635356435 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-04-13 20:00:54 +00:00
Dmitry Kurtaev
a2bbfa1db5 Enable some tests for Inference Engine 2019R1 2019-04-12 15:21:42 +03:00
Alexander Alekhin
7442100caa Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-03-29 19:29:36 +00:00
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
Alexander Alekhin
665408e57f Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-02-01 13:17:32 +03:00
Dmitry Kurtaev
ff775b2e54 Remove ASSERT_ANY_THROW checks fpr Myriad plugin and FP32 networks 2019-01-25 20:09:54 +03:00
Alexander Alekhin
631b246881 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-01-22 18:00:34 +00:00
Dmitry Kurtaev
f0ddf302b2 Move Inference Engine to new API 2019-01-17 14:28:48 +03:00
Alexander Alekhin
22dbcf98c5 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-11-17 14:17:35 +00:00
Alexander Alekhin
f2bec05e6d Merge pull request #12913 from dkurt:dnn_fix_ie_hyperparams 2018-11-16 18:36:12 +00:00
Dmitry Kurtaev
b5c54e447c Extra hyperparameters for Intel's Inference Engine layers 2018-11-15 20:06:37 +03:00
Alexander Alekhin
96c71dd3d2 dnn: reduce set of ignored warnings 2018-11-15 13:15:59 +03:00
Alexander Alekhin
1913482cf5 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-11-10 20:50:26 +00:00
Dmitry Kurtaev
dc9e6d3af8 Update a script to generate text graphs for Faster-RCNN networks from TensorFlow 2018-11-07 18:33:01 +03:00
WuZhiwen
6e3ea8b49d Merge pull request #12703 from wzw-intel:vkcom 
* dnn: Add a Vulkan based backend

This commit adds a new backend "DNN_BACKEND_VKCOM" and a
new target "DNN_TARGET_VULKAN". VKCOM means vulkan based
computation library.

This backend uses Vulkan API and SPIR-V shaders to do
the inference computation for layers. The layer types
that implemented in DNN_BACKEND_VKCOM include:
Conv, Concat, ReLU, LRN, PriorBox, Softmax, MaxPooling,
AvePooling, Permute

This is just a beginning work for Vulkan in OpenCV DNN,
more layer types will be supported and performance
tuning is on the way.

Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com>

* dnn/vulkan: Add FindVulkan.cmake to detect Vulkan SDK

In order to build dnn with Vulkan support, need installing
Vulkan SDK and setting environment variable "VULKAN_SDK" and
add "-DWITH_VULKAN=ON" to cmake command.

You can download Vulkan SDK from:
https://vulkan.lunarg.com/sdk/home#linux

For how to install, see
https://vulkan.lunarg.com/doc/sdk/latest/linux/getting_started.html
https://vulkan.lunarg.com/doc/sdk/latest/windows/getting_started.html
https://vulkan.lunarg.com/doc/sdk/latest/mac/getting_started.html
respectively for linux, windows and mac.

To run the vulkan backend, also need installing mesa driver.
On Ubuntu, use this command 'sudo apt-get install mesa-vulkan-drivers'

To test, use command '$BUILD_DIR/bin/opencv_test_dnn --gtest_filter=*VkCom*'

Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com>

* dnn/Vulkan: dynamically load Vulkan runtime

No compile-time dependency on Vulkan library.
If Vulkan runtime is unavailable, fallback to CPU path.

Use environment "OPENCL_VULKAN_RUNTIME" to specify path to your
own vulkan runtime library.

Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com>

* dnn/Vulkan: Add a python script to compile GLSL shaders to SPIR-V shaders

The SPIR-V shaders are in format of text-based 32-bit hexadecimal
numbers, and inserted into .cpp files as unsigned int32 array.

* dnn/Vulkan: Put Vulkan headers into 3rdparty directory and some other fixes

Vulkan header files are copied from
https://github.com/KhronosGroup/Vulkan-Docs/tree/master/include/vulkan
to 3rdparty/include

Fix the Copyright declaration issue.

Refine OpenCVDetectVulkan.cmake

* dnn/Vulkan: Add vulkan backend tests into existing ones.

Also fixed some test failures.

- Don't use bool variable as uniform for shader
- Fix dispathed group number beyond max issue
- Bypass "group > 1" convolution. This should be support in future.

* dnn/Vulkan: Fix multiple initialization in one thread.
 2018-10-29 17:51:26 +03:00
Maksim Shabunin
0ccd810738 Fixed several issues found by static analysis 2018-10-25 10:45:59 +03:00
Alexander Alekhin
edacd91a27 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-10-15 20:15:42 +00:00
Dmitry Kurtaev
dc3406eed9 Fix Pooling and Convolution layers from Intel's Inference Engine 2018-10-15 16:40:28 +03:00
Alexander Alekhin
e6171d17f8 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-09-18 12:49:52 +03:00
Lubov Batanina
43f889ae1f Merge pull request #12519 from l-bat:l-bat/onnx_parser 
Support asymmetric padding in pooling layer (#12519)

* Add Inception_V1 support in ONNX

* Add asymmetric padding in OpenCL and Inference engine

* Refactoring
 2018-09-17 20:26:17 +03:00
Alexander Alekhin
808ba552c5 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-09-14 23:44:35 +00:00
Vadim Pisarevsky
f4b9acb4db Merge pull request #12497 from tomoaki0705:removeRawSSE 2018-09-12 11:59:44 +00:00
Tomoaki Teshima
88b04c3cd4 remove raw SSE2 implementation 2018-09-11 21:28:18 +09:00
Alexander Alekhin
dca657a2fd Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-09-10 00:10:21 +03:00
Hamdi Sahloul
a39e0daacf Utilize CV_UNUSED macro 2018-09-07 20:33:52 +09:00
Alexander Alekhin
73bfe68821 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-09-07 12:40:27 +03:00
Dmitry Kurtaev
d486204a0d Merge pull request #12264 from dkurt:dnn_remove_forward_method 
* 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
Alexander Alekhin
7f73b105ca core: std::string more changes 2018-08-27 15:41:01 +03:00
Alexander Alekhin
d2e08a524e core: repair CV_Assert() messages 
Multi-argument CV_Assert() is accessible via CV_Assert_N() (with malformed messages).
 2018-08-15 17:43:10 +03:00
Dmitry Kurtaev
faa6c4e1e1 Faster-RCNN anf RFCN models on CPU using Intel's Inference Engine backend. 
Enable Torch layers tests with Intel's Inference Engine backend.
 2018-07-25 19:04:55 +03:00
Li Peng
145eae321e pooling ocl kernel optimization 
set global size with real output size, also optimize

max pooling index computation if necessary.

Signed-off-by: Li Peng <peng.li@intel.com>
 2018-06-29 15:22:49 +08:00
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
Tomoaki Teshima
2e9e71ab9e make ocl4dnn available to run on other platform than Intel GPU 2018-05-29 19:18:10 +09:00
Li Peng
3dd916882a fp16 ocl support for googlenet 
Signed-off-by: Li Peng <peng.li@intel.com>
 2018-05-16 22:45:02 +08:00
Dmitry Kurtaev
66ce8cd7ea Fix bugs found by valgrind 2018-04-17 17:53:51 +03:00
Alexander Alekhin
1060c0f439 dnn: apply CV_OVERRIDE/CV_FINAL 2018-03-28 18:43:27 +03:00
Alexander Alekhin
6c051a55e5 cmake: don't add include <module>/src directory to avoid conflicts 
during opencv_world builds
 2018-03-19 11:14:15 +03:00