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Diffstat (limited to 'docs/00_introduction.dox')
-rw-r--r-- | docs/00_introduction.dox | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/docs/00_introduction.dox b/docs/00_introduction.dox index 6430411f5b..7179c0d822 100644 --- a/docs/00_introduction.dox +++ b/docs/00_introduction.dox @@ -246,6 +246,7 @@ v19.11 Public major release - NEDepthwiseWeightsReshapeKernel - NEDepthwiseIm2ColKernel - NEDepthwiseVectorToTensorKernel + - NEDepthwiseConvolutionLayer3x3 v19.08 Public major release - Various bug fixes. @@ -301,7 +302,8 @@ v19.08 Public major release - 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 @ref NEDepthwiseConvolutionLayer3x3 will be replaced by @ref NEDepthwiseConvolutionLayerOptimized to accommodate for future optimizations. + - The @ref CLDepthwiseConvolutionLayer3x3 will be included by @ref CLDepthwiseConvolutionLayer to accommodate for future optimizations. + - The @ref NEDepthwiseConvolutionLayerOptimized will be included by @ref NEDepthwiseConvolutionLayer to accommodate for future optimizations. - Removed inner_border_right and inner_border_top parameters from @ref CLDeconvolutionLayer interface - Removed inner_border_right and inner_border_top parameters from @ref NEDeconvolutionLayer interface - Optimized the NEON assembly kernel for GEMMLowp. The new implementation fuses the output stage and quantization with the matrix multiplication kernel |