Tag: Branch: Tree: ac8e7d57dc

2.4

3.4

4.x

5.x

master

next

revert-26857-patch-1

2.2

2.3.0

2.3.1

2.4.0

2.4.1

2.4.10

2.4.10.1

2.4.10.2

2.4.10.3

2.4.10.4

2.4.11

2.4.12

2.4.12.1

2.4.12.2

2.4.12.3

2.4.13

2.4.13.1

2.4.13.2

2.4.13.3

2.4.13.4

2.4.13.5

2.4.13.6

2.4.13.7

2.4.2

2.4.3

2.4.3-rc

2.4.3.1

2.4.3.2

2.4.4

2.4.4-beta

2.4.5

2.4.6

2.4.6.1

2.4.6.2

2.4.6.2-rc1

2.4.6.2r2

2.4.6.2r3

2.4.7

2.4.7-rc1

2.4.7.1

2.4.7.2

2.4.8

2.4.8.1

2.4.8.2

2.4.8.3

2.4.9

2.4.9.1

3.0-ocl-tech-preview

3.0-ocl-tp2

3.0.0

3.0.0-alpha

3.0.0-beta

3.0.0-rc1

3.1.0

3.2.0

3.2.0-rc

3.3.0

3.3.0-cvsdk

3.3.0-rc

3.3.1

3.3.1-cvsdk

3.4.0

3.4.0-rc

3.4.1

3.4.1-cvsdk

3.4.10

3.4.11

3.4.12

3.4.13

3.4.14

3.4.15

3.4.16

3.4.17

3.4.18

3.4.19

3.4.2

3.4.2-openvino

3.4.20

3.4.3

3.4.3-openvino

3.4.4

3.4.5

3.4.6

3.4.7

3.4.8

3.4.9

4.0.0

4.0.0-alpha

4.0.0-beta

4.0.0-openvino

4.0.0-rc

4.0.1

4.0.1-openvino

4.1.0

4.1.0-openvino

4.1.1

4.1.1-openvino

4.1.2

4.1.2-openvino

4.10.0

4.10.0-kleidicv

4.11.0

4.2.0

4.2.0-openvino

4.3.0

4.3.0-openvino

4.3.0-openvino-2020.3.0

4.4.0

4.4.0-openvino

4.5.0

4.5.0-openvino

4.5.1

4.5.1-openvino

4.5.2

4.5.2-openvino

4.5.3

4.5.3-openvino

4.5.3-openvino-2021.4.1

4.5.3-openvino-2021.4.2

4.5.4

4.5.5

4.5.5-openvino-2022.1.0

4.6.0

4.7.0

4.8.0

4.8.1

4.9.0

5.0.0-alpha

Branches Tags

${ item.name }

Create tag ${ searchTerm }

Create branch ${ searchTerm }

from 'ac8e7d57dc'

${ noResults }

Commit Graph

4 Commits (ac8e7d57dc64b0fbb41710f11cbd0338ec1219a7)

Author	SHA1	Message	Date
Sergei Slashchinin	61144f935e	Merge pull request #18783 from sl-sergei:fix_conv1d ... Add support for Conv1D on OpenCV backend * Add support for Conv1D on OpenCV backend * disable tests on other targets/backends * Fix formatting * Restore comment * Remove unnecessary flag and fix test logic * Fix perf test * fix braces * Fix indentation, assert check and remove unnecessary condition * Remove unnecessary changes * Add test cases for variable weights and bias * dnn(conv): fallback on OpenCV+CPU instead of failures * coding style	4 years ago
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	5 years ago
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	6 years ago