Alexander Alekhin
b6a58818bb
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2019-11-11 20:25:42 +00:00
Lubov Batanina
cfc781949d
Merge pull request #15811 from l-bat:eltwise_div
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Supported ONNX Squeeze, ReduceL2 and Eltwise::DIV
* Support eltwise div
* Fix test
* OpenCL support added
* refactoring
* fix code style
* Only squeeze with axes supported
2019-11-09 14:11:09 +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
feff8bf972
Merge pull request #15626 from alalek:dnn_openvino_2019r3
2019-10-04 19:45:37 +00:00
Dmitry Kurtaev
e35fd463e7
Enable ENet with Inference Engine backend on CPU
2019-10-04 18:10:11 +03:00
Alexander Alekhin
fd11e3a81d
dnn: update IE tests
2019-10-04 17:49:10 +03:00
Maksim Shabunin
4dadf17bd9
Merge pull request #15168 from dkurt:dnn_onnx_15120
2019-07-31 15:03:23 +00:00
Dmitry Kurtaev
f9f160404a
Add support for slice from ONNX with multiple outputs
2019-07-28 21:20:25 +03:00
Dmitry Kurtaev
ebaefbb745
Remove VGG16 from ONNX test because there is VGG16_bn
2019-07-27 23:04:25 +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
Alexander Alekhin
5ccb2a4cbd
dnn(test): fix required data
2019-07-16 07:53:50 +00:00
Lubov Batanina
34f6b05467
Merge pull request #14996 from l-bat:ocv_deconv3d
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* Support Deconvolution3D on IE backend
* Add test tag
* Fix tests
2019-07-12 15:51:44 +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
Diego
57fae4a6a1
Merge pull request #14858 from dvd42:instancenorm_onnx
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Instancenorm onnx (#14858 )
* Onnx unsupported operation handling
* instance norm implementation
* Revert "Onnx unsupported operation handling"
* instance norm layer test
* onnx instancenorm layer
2019-07-04 21:15:04 +03:00
Diego
6dfe2ddc21
Merge pull request #14959 from dvd42:onnx_clip
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* onnx clip operation
2019-07-04 08:56:00 +03:00
Dmitry Kurtaev
75f4c1abf2
Enable some tests for Inference Engine backend
2019-06-28 15:52:31 +03:00
Alexander Alekhin
894f208de3
dnn(test): replace SkipTestException with tags
2019-06-23 13:12:23 +00:00
Alexander Alekhin
f8c96cb18a
Merge pull request #14847 from alalek:dnn_fix_test_data_searching
2019-06-23 12:42:27 +00:00
Lubov Batanina
16294437d5
Merge pull request #14833 from l-bat:ocv_eltwise3d
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* Support Eltwise3d
* Refactoring
* Fix test
2019-06-22 10:13:28 +03:00
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
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
Lubov Batanina
f94253b82b
Merge pull request #14627 from l-bat:demo_kinetics
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* Support 3D ResNet-34-kinetics
* Update sample
* Remove preprocess
* Change test
* Fix sample
2019-05-30 17:36:00 +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
dianlujitao
f0f50b757d
Fix LogSoftmax for ONNX
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Fix wrong indentation as well while at it
2019-05-20 22:55:31 +08:00
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
Lubov Batanina
77fa59c3da
Merge pull request #14301 from l-bat:conv3d
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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
4f6be11c0e
Check if Inference Engine networks are fully supported by backend
2019-04-25 11:27:17 +03:00
Liubov Batanina
45ced8e022
Fix ONNX deconvolution
2019-04-24 14:37:52 +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
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
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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
Kohei Yoshida
212420516f
Add a test case for handling output_shape property for deconvolution layer.
2019-03-26 10:46:17 -04:00
Alexander Alekhin
865c29a754
Merge pull request #13892 from dkurt:onnx_upsample_unsqueeze
2019-02-26 10:17:07 +00:00
Dmitry Kurtaev
20400aa9f7
Import Upsample and Unsqueeze from ONNX
2019-02-21 20:17:28 +03:00
Dmitry Kurtaev
bfd663c281
Add a test for grouped deconvolution from ONNX
2019-02-21 08:54:35 +03:00
Dmitry Kurtaev
c918ac298c
Fix IE tests
2019-01-31 14:14:38 +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
e71758cfdf
Operate with shapes in ONNX models
2018-12-12 18:34:22 +03:00
Christopher Gundler
b58a8729c2
Merge pull request #13131 from Christopher22:add_transposedConv_onnx
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* Add support for ConvTranspose when parsing ONNX.
* Add support for ConvTranspose when parsing ONNX.
* Add test for Deconvolution
2018-11-16 22:50:40 +03:00
Alexander Alekhin
96c71dd3d2
dnn: reduce set of ignored warnings
2018-11-15 13:15:59 +03:00
Dmitry Kurtaev
a6f9170f10
Add ONNX's padding import
2018-10-31 18:24:05 +03:00
Lubov Batanina
50811e04f2
Merge pull request #12596 from l-bat:l-bat/shufflenet_onnx
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* Add Shufflenet support in ONNX
* Add test for transpose layer
2018-10-08 22:18:41 +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
