diff options
Diffstat (limited to 'docs/user_guide/release_version_and_change_log.dox')
| -rw-r--r-- | docs/user_guide/release_version_and_change_log.dox | 22 |
1 files changed, 11 insertions, 11 deletions
diff --git a/docs/user_guide/release_version_and_change_log.dox b/docs/user_guide/release_version_and_change_log.dox index 557eff0779..20995af693 100644 --- a/docs/user_guide/release_version_and_change_log.dox +++ b/docs/user_guide/release_version_and_change_log.dox @@ -44,8 +44,8 @@ v21.05 Public major release - Various bug fixes. - Various optimisations. - Various documentation updates: - - Add supported operators and coressponding Android NNAPI operators. - - Documentaiton reorg into user guide and contributor guide. + - Add supported operators and corresponding Android NNAPI operators. + - Documentation reorg into user guide and contributor guide. - Add support for a global allocator for OpenCL tensors - Add experimental support for [CLVK](https://github.com/kpet/clvk). - Add data type S32 support for: @@ -201,7 +201,7 @@ v21.02 Public major release - Add functionality to load the OpenCL GEMM heuristics at runtime - The GEMM heuristic file (MLGO) can be used to update the default GEMM heuristics available for OpenCL - Note: there might be performance regressions against v20.08 in Inception v3 using int8 data types on Arm Mali-G77 GPUs. Currently under investigation - - Note: data-type decoupling is in progress and expiremental. Warning of unused symbols might be raised + - Note: data-type decoupling is in progress and experimental. Warning of unused symbols might be raised v20.11 Public major release - Various bug fixes. @@ -514,7 +514,7 @@ v20.08 Public major release - Added new data type U8 support for: - @ref NECropKernel - CLCropKernel - - Added aligh_corner support for nearest neighbor interpolation in: + - Added align_corner support for nearest neighbor interpolation in: - NEScaleKernel - CLScaleKernel - New OpenCL kernels / functions: @@ -828,7 +828,7 @@ v19.08 Public major release - Enable the fusion of batch normalization with convolution and depthwise convolution layer for FP32 in the graph API (OpenCL only) - Added support for fusing activation function and broadcast addition with the matrix multiplication for FP32 (OpenCL only) - Re-factored the depthwise convolution layer kernel on Arm® Neon™ for generic cases - - Added an optimized depthwise convolution layer kernel for 5x5 filters (Neon only) + - Added an optimized depthwise convolution layer kernel for 5x5 filters (Neon™ only) - Added support to enable OpenCL kernel cache. Added example showing how to load the prebuilt OpenCL kernels from a binary cache file - Altered @ref QuantizationInfo interface to support per-channel quantization. - The CLDepthwiseConvolutionLayer3x3 will be included by @ref CLDepthwiseConvolutionLayer to accommodate for future optimizations. @@ -967,8 +967,8 @@ v19.02 Public major release - Add 4D tensors support to - @ref NESoftmaxLayer - Fused activation in @ref CLWinogradConvolutionLayer - - Extented @ref NEPermute to support more cases - - Added Neon/SVE GEMM Hybrid kernels + - Extended @ref NEPermute to support more cases + - Added Neon™/SVE GEMM Hybrid kernels - Added u8 and s8 hybrid assembly kernels - Introduced GEMM strategy name in NEGEMMAssemblyWrapper - Improved @ref CLTuner @@ -1078,11 +1078,11 @@ v18.08 Public major release v18.05 Public major release - Various bug fixes. - Various optimisations. - - Major redesign in the interface for the neon kernels implemented in assembly. + - Major redesign in the interface for the Neon™ kernels implemented in assembly. - Removed arm_compute::NEGEMMLowpAArch64A53Kernel / arm_compute::NEGEMMLowpAArch64Kernel / arm_compute::NEGEMMLowpAArch64V8P4Kernel / arm_compute::NEGEMMInterleavedBlockedKernel / arm_compute::NEGEMMLowpAssemblyMatrixMultiplyCore / arm_compute::NEHGEMMAArch64FP16Kernel - - Added NEGEMMAssemblyWrapper and AssemblyKernelGlue which are used to execute assembly kernels in neon functions. + - Added NEGEMMAssemblyWrapper and AssemblyKernelGlue which are used to execute assembly kernels in Neon™ functions. - Minor changes to the CPUInfo type to make it compatible with the new assembly gemm interface. - - Moved neon assembly kernels to the folder src/core/Neon/kernels/arm_gemm. + - Moved Neon™ assembly kernels to the folder src/core/Neon/kernels/arm_gemm. - Improved doxygen documentation. - Improved memory management for layer's transitions. - Added support for NHWC data layout in tensors. @@ -1123,7 +1123,7 @@ v18.05 Public major release - Replaced NEDeconvolutionLayerUpsampleKernel with NEScaleKernel in @ref NEDeconvolutionLayer. - Added fast maths flag in @ref CLConvolutionLayer. - Added new tests and benchmarks in validation and benchmark frameworks - - Merge Activation layer with Convolution Layer (Neon. CL, GLES) + - Merge Activation layer with Convolution Layer (Neon™, CL, GLES) - Added support to OpenCL 2.0 SVM - Added support to import memory in OpenCL tensors. - Added the prepare() method to perform any one off pre-processing before running the function. |