From d844c08861706803ea7bebe64450e5feaa9b8179 Mon Sep 17 00:00:00 2001 From: Manuel Bottini Date: Wed, 14 Jul 2021 12:58:54 +0100 Subject: Port CLIm2ColKernel to ClIm2ColKernel Resolves: COMPMID-4516 Change-Id: I6a6db66797fa801dfe1238fceca413277241d2ec Signed-off-by: Manuel Bottini Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5946 Comments-Addressed: Arm Jenkins Reviewed-by: Michele Di Giorgio Tested-by: Arm Jenkins --- docs/user_guide/release_version_and_change_log.dox | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) (limited to 'docs') diff --git a/docs/user_guide/release_version_and_change_log.dox b/docs/user_guide/release_version_and_change_log.dox index 8b15a384cc..45303e5d87 100644 --- a/docs/user_guide/release_version_and_change_log.dox +++ b/docs/user_guide/release_version_and_change_log.dox @@ -567,7 +567,7 @@ v20.08 Public major release The default "axis" value for @ref NESoftmaxLayer, @ref NELogSoftmaxLayer is changed from 1 to 0. Only axis 0 is supported. - The support for quantized data types has been removed from @ref CLLogSoftmaxLayer due to implementation complexity. - - Removed padding requirement for the input (e.g. LHS of GEMM) and output in CLGEMMMatrixMultiplyNativeKernel, CLGEMMMatrixMultiplyReshapedKernel, CLGEMMMatrixMultiplyReshapedOnlyRHSKernel and @ref CLIm2ColKernel (NHWC only) + - Removed padding requirement for the input (e.g. LHS of GEMM) and output in CLGEMMMatrixMultiplyNativeKernel, CLGEMMMatrixMultiplyReshapedKernel, CLGEMMMatrixMultiplyReshapedOnlyRHSKernel and CLIm2ColKernel (NHWC only) - This change allows to use @ref CLGEMMConvolutionLayer without extra padding for the input and output. - Only the weights/bias of @ref CLGEMMConvolutionLayer could require padding for the computation. - Only on Arm® Mali™ Midgard GPUs, @ref CLGEMMConvolutionLayer could require padding since CLGEMMMatrixMultiplyKernel is called and currently requires padding. @@ -1064,7 +1064,7 @@ v18.08 Public major release - @ref CLDirectConvolutionLayer - @ref CLConvolutionLayer - @ref CLScale - - @ref CLIm2ColKernel + - CLIm2ColKernel - New Arm® Neon™ kernels / functions: - @ref NERNNLayer - New OpenCL kernels / functions: @@ -1384,7 +1384,7 @@ v17.02.1 Sources preview - New OpenCL kernels / functions: - CLLogits1DMaxKernel, CLLogits1DShiftExpSumKernel, CLLogits1DNormKernel / @ref CLSoftmaxLayer - CLPoolingLayerKernel / @ref CLPoolingLayer - - @ref CLIm2ColKernel, CLCol2ImKernel, CLConvolutionLayerWeightsReshapeKernel / CLConvolutionLayer + - CLIm2ColKernel, CLCol2ImKernel, CLConvolutionLayerWeightsReshapeKernel / CLConvolutionLayer - @ref CLRemapKernel / @ref CLRemap - CLGaussianPyramidHorKernel, CLGaussianPyramidVertKernel / CLGaussianPyramid, CLGaussianPyramidHalf, CLGaussianPyramidOrb - CLMinMaxKernel, CLMinMaxLocationKernel / CLMinMaxLocation -- cgit v1.2.1