- 09 8月, 2020 1 次提交
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由 YashasSamaga 提交于
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- 04 8月, 2020 1 次提交
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由 Liubov Batanina 提交于
* Supported convolution with non-const weights * Fix opencl blobs * Update tests
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- 20 7月, 2020 1 次提交
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由 Liubov Batanina 提交于
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- 16 7月, 2020 1 次提交
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由 Alexander Alekhin 提交于
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- 11 6月, 2020 1 次提交
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由 YashasSamaga 提交于
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- 12 5月, 2020 2 次提交
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由 Liubov Batanina 提交于
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由 Liubov Batanina 提交于
* Added ONNX BatchNorm subgraph * Move removing constant inputs to addConstantNodesForInitializers * Added initializers to ONNXGraphWrapper
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- 30 4月, 2020 1 次提交
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由 Alexander Alekhin 提交于
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- 22 4月, 2020 2 次提交
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由 Alexander Alekhin 提交于
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由 ashishiva3@gmail.com 提交于
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- 21 4月, 2020 1 次提交
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由 AshihsKrShrivastava 提交于
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- 13 4月, 2020 1 次提交
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- 11 4月, 2020 1 次提交
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由 AshihsKrShrivastava 提交于
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- 07 4月, 2020 1 次提交
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由 Liubov Batanina 提交于
* Supported FullyConnected layer with two inputs * Skipped test * Fix conditions * Added OpenCL support * Supported ReduceMean3D * Supported Expand layer * Fix warning * Added Normalize subgraph * refactoring * Used addLayer * Fix check * Used addLayer * Skip failed test * Added normalize1 subgraph * Fix comments
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- 04 4月, 2020 1 次提交
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由 Dmitry Kurtaev 提交于
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- 23 3月, 2020 1 次提交
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由 Dmitry Kurtaev 提交于
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- 22 3月, 2020 1 次提交
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由 Dmitry Kurtaev 提交于
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- 18 3月, 2020 2 次提交
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由 Dmitry Kurtaev 提交于
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由 Dmitry Kurtaev 提交于
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- 17 3月, 2020 1 次提交
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由 Liubov Batanina 提交于
* Support Slice layer with multiple inputs * Add test * Supported Resize from PyTorch * Rewrite test * Remove Cast layer (supported in #16735) * Support ConstantOfShape * Fix tests * Fix coments * Remove useless condition * Fixed failed tests
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- 14 3月, 2020 1 次提交
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由 Liubov Batanina 提交于
* Supported Flatten for constant nodes * Added default axis * Refactoring * Refactoring * Added cast layer * Fix comments * Add Cast for layers
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- 06 3月, 2020 1 次提交
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由 Dmitry Kurtaev 提交于
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- 04 3月, 2020 1 次提交
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由 Liubov Batanina 提交于
* Supported Div op for constants * Added Mul test
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- 03 3月, 2020 1 次提交
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由 ashishiva3@gmail.com 提交于
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- 02 3月, 2020 1 次提交
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由 Liubov Batanina 提交于
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- 29 2月, 2020 1 次提交
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由 ashishiva3@gmail.com 提交于
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- 25 2月, 2020 1 次提交
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由 Alexander Alekhin 提交于
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- 23 2月, 2020 1 次提交
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由 Alexander Alekhin 提交于
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- 18 2月, 2020 1 次提交
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由 Liubov Batanina 提交于
Add CP-VTON sample * Support resize from PyTorch * Add CP-VTON sample * Fix downsampling * Fix test * Add model links * Add default args * Speed up resize * Fix TOM link * Add default args * Fix comments * Set aspect ratio for input * Update links * Check files exist
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- 15 2月, 2020 1 次提交
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由 Gagandeep Singh 提交于
* fixed Split layer in ONNXImporter * added test for fix of split layer * fixed tests for Split layer * applied reviews * updated tests * fixed paths in tests
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- 14 1月, 2020 1 次提交
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由 Dmitry Kurtaev 提交于
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- 13 1月, 2020 1 次提交
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由 Dmitry Kurtaev 提交于
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
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- 20 12月, 2019 1 次提交
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由 Yashas Samaga B L 提交于
* 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)
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- 06 12月, 2019 1 次提交
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由 YashasSamaga 提交于
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- 02 12月, 2019 1 次提交
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由 Lubov Batanina 提交于
* Support nGraph * Fix resize
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- 09 11月, 2019 1 次提交
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由 Lubov Batanina 提交于
Supported ONNX Squeeze, ReduceL2 and Eltwise::DIV * Support eltwise div * Fix test * OpenCL support added * refactoring * fix code style * Only squeeze with axes supported
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- 21 10月, 2019 1 次提交
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由 Yashas Samaga B L 提交于
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
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- 04 10月, 2019 2 次提交
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由 Dmitry Kurtaev 提交于
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由 Alexander Alekhin 提交于
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- 29 7月, 2019 1 次提交
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由 Dmitry Kurtaev 提交于
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