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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2021-01-10 04:23:52 +0000 |
|---|---|---|
| committer | Michele Di Giorgio <michele.digiorgio@arm.com> | 2021-01-19 16:03:54 +0000 |
| commit | 0f7ef8ab2171093855a8f21bd39c8fd7066dd629 (patch) | |
| tree | 2ebdcdf205e3ec238401219f8301be28095edea9 /docs/00_introduction.dox | |
| parent | ff1fe3e32e25069fed750cdfe3046b7d8d5a2628 (diff) | |
| download | ComputeLibrary-0f7ef8ab2171093855a8f21bd39c8fd7066dd629.tar.gz | |
Make memset/copy functions state-less
Port following functions:
- NECopy
- NEFill
- NEPermute
- NEReshapeLayer
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I75f3f837012abab79c7dde9a20a34f64f75571d8
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4800
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'docs/00_introduction.dox')
| -rw-r--r-- | docs/00_introduction.dox | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/docs/00_introduction.dox b/docs/00_introduction.dox index b8bdabf534..5e8769c366 100644 --- a/docs/00_introduction.dox +++ b/docs/00_introduction.dox @@ -659,8 +659,8 @@ v19.11 Public major release - @ref CLGEMMDeconvolutionLayer - @ref NEDeconvolutionLayer - Added SYMMETRIC and REFLECT modes for @ref CLPadLayerKernel / @ref CLPadLayer. - - Replaced the calls to @ref NECopyKernel and @ref NEMemsetKernel with @ref NEPadLayer in @ref NEGenerateProposalsLayer. - - Replaced the calls to @ref CLCopyKernel and @ref CLMemsetKernel with @ref CLPadLayer in @ref CLGenerateProposalsLayer. + - Replaced the calls to NECopyKernel and NEMemsetKernel with @ref NEPadLayer in @ref NEGenerateProposalsLayer. + - Replaced the calls to CLCopyKernel and CLMemsetKernel with @ref CLPadLayer in @ref CLGenerateProposalsLayer. - Improved performance for CL Inception V3 - FP16. - Improved accuracy for CL Inception V3 - FP16 by enabling FP32 accumulator (mixed-precision). - Improved NEON performance by enabling fusing batch normalization with convolution and depth-wise convolution layer. @@ -828,7 +828,7 @@ v19.02 Public major release - @ref NEStackLayerKernel / @ref NEStackLayer - @ref NERangeKernel / @ref NERange - @ref NEPadLayer - - @ref NEMemsetKernel + - NEMemsetKernel - @ref NEGatherKernel / @ref NEGather - @ref NEElementwiseComparison - @ref NEElementwiseComparisonStatic @@ -1070,7 +1070,7 @@ v18.02 Public major release - New NEON kernels / functions - Added name() method to all kernels. - Added support for Winograd 5x5. - - @ref NEPermuteKernel / @ref NEPermute + - NEPermuteKernel / @ref NEPermute - @ref NEWinogradLayerTransformInputKernel / NEWinogradLayer - @ref NEWinogradLayerTransformOutputKernel / NEWinogradLayer - @ref NEWinogradLayerTransformWeightsKernel / NEWinogradLayer @@ -1183,7 +1183,7 @@ v17.09 Public major release - @ref NEQuantizationLayerKernel @ref NEMinMaxLayerKernel / @ref NEQuantizationLayer - @ref NEROIPoolingLayerKernel / @ref NEROIPoolingLayer - @ref NEReductionOperationKernel / @ref NEReductionOperation - - @ref NEReshapeLayerKernel / @ref NEReshapeLayer + - NEReshapeLayerKernel / @ref NEReshapeLayer - New OpenCL kernels / functions: - @ref CLDepthwiseConvolutionLayer3x3NCHWKernel @ref CLDepthwiseConvolutionLayer3x3NHWCKernel CLDepthwiseIm2ColKernel CLDepthwiseVectorToTensorKernel CLDepthwiseWeightsReshapeKernel / CLDepthwiseConvolutionLayer3x3 @ref CLDepthwiseConvolutionLayer CLDepthwiseSeparableConvolutionLayer |