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 | 30 |
1 files changed, 15 insertions, 15 deletions
diff --git a/docs/user_guide/release_version_and_change_log.dox b/docs/user_guide/release_version_and_change_log.dox index 0f4d4cc0d5..a975e8b35e 100644 --- a/docs/user_guide/release_version_and_change_log.dox +++ b/docs/user_guide/release_version_and_change_log.dox @@ -280,7 +280,7 @@ v20.11 Public major release - CLLogits1DMaxShiftExpSumKernel - CLLogits1DNormKernel - CLHeightConcatenateLayerKernel - - @ref CLGEMMMatrixMultiplyKernel + - CLGEMMMatrixMultiplyKernel - @ref CLGEMMLowpQuantizeDownInt32ScaleKernel - @ref CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel - @ref CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel @@ -567,14 +567,14 @@ 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 @ref CLGEMMMatrixMultiplyNativeKernel, @ref CLGEMMMatrixMultiplyReshapedKernel, @ref CLGEMMMatrixMultiplyReshapedOnlyRHSKernel and @ref CLIm2ColKernel (NHWC only) + - Removed padding requirement for the input (e.g. LHS of GEMM) and output in CLGEMMMatrixMultiplyNativeKernel, CLGEMMMatrixMultiplyReshapedKernel, CLGEMMMatrixMultiplyReshapedOnlyRHSKernel and @ref 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 @ref CLGEMMMatrixMultiplyKernel is called and currently requires padding. - - Added support for exporting the OpenCL buffer object to the OpenCL image object in @ref CLGEMMMatrixMultiplyReshapedKernel and @ref CLGEMMMatrixMultiplyReshapedOnlyRHSKernel. + - Only on Arm® Mali™ Midgard GPUs, @ref CLGEMMConvolutionLayer could require padding since CLGEMMMatrixMultiplyKernel is called and currently requires padding. + - Added support for exporting the OpenCL buffer object to the OpenCL image object in CLGEMMMatrixMultiplyReshapedKernel and CLGEMMMatrixMultiplyReshapedOnlyRHSKernel. - This support allows to export the OpenCL buffer used for the reshaped RHS matrix to the OpenCL image object. - - The padding requirement for the OpenCL image object is considered into the @ref CLGEMMReshapeRHSMatrixKernel. - - The reshaped RHS matrix stores the weights when GEMM is used to accelerate @ref CLGEMMConvolutionLayer. + - The padding requirement for the OpenCL image object is considered into the CLGEMMReshapeRHSMatrixKernel. + - The reshaped RHS matrix stores the weights when GEMM is used to accelerate CLGEMMConvolutionLayer. v20.05 Public major release - Various bug fixes. @@ -739,7 +739,7 @@ v19.11 Public major release - Added QASYMM16 support for: - @ref CLBoundingBoxTransform - Added FP16 support for: - - @ref CLGEMMMatrixMultiplyReshapedKernel + - CLGEMMMatrixMultiplyReshapedKernel - Added new data type QASYMM8_PER_CHANNEL support for: - CLDequantizationLayer - @ref NEDequantizationLayer @@ -749,7 +749,7 @@ v19.11 Public major release - @ref CLDepthwiseConvolutionLayer - @ref NEDepthwiseConvolutionLayer - Added FP16 mixed-precision support for: - - @ref CLGEMMMatrixMultiplyReshapedKernel + - CLGEMMMatrixMultiplyReshapedKernel - CLPoolingLayerKernel - Added FP32 and FP16 ELU activation for: - @ref CLActivationLayer @@ -813,9 +813,9 @@ v19.08 Public major release - @ref CLSinLayer - CLBatchConcatenateLayerKernel - @ref CLDepthToSpaceLayerKernel / @ref CLDepthToSpaceLayer - - @ref CLGEMMLowpMatrixMultiplyNativeKernel + - CLGEMMLowpMatrixMultiplyNativeKernel - CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel - - @ref CLGEMMMatrixMultiplyNativeKernel + - CLGEMMMatrixMultiplyNativeKernel - CLMeanStdDevNormalizationKernel /CLMeanStdDevNormalizationLayer - @ref CLSpaceToDepthLayerKernel / @ref CLSpaceToDepthLayer - New examples: @@ -862,7 +862,7 @@ v19.05 Public major release - @ref CLFFTRadixStageKernel - @ref CLFFTScaleKernel - @ref CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel - - @ref CLGEMMMatrixMultiplyReshapedOnlyRHSKernel + - CLGEMMMatrixMultiplyReshapedOnlyRHSKernel - CLHeightConcatenateLayerKernel - @ref CLDirectDeconvolutionLayer - @ref CLFFT1D @@ -947,9 +947,9 @@ v19.02 Public major release - @ref CLRsqrtLayer - @ref CLExpLayer - CLElementWiseUnaryLayerKernel - - @ref CLGEMMReshapeLHSMatrixKernel - - @ref CLGEMMReshapeRHSMatrixKernel - - @ref CLGEMMMatrixMultiplyReshapedKernel + - CLGEMMReshapeLHSMatrixKernel + - CLGEMMReshapeRHSMatrixKernel + - CLGEMMMatrixMultiplyReshapedKernel - @ref CLRangeKernel / @ref CLRange - @ref CLUnstack - @ref CLGatherKernel / @ref CLGather @@ -1369,7 +1369,7 @@ v17.03.1 First Major public release of the sources v17.03 Sources preview - New OpenCL kernels / functions: - CLGradientKernel, CLEdgeNonMaxSuppressionKernel, CLEdgeTraceKernel / CLCannyEdge - - GEMM refactoring + FP16 support: CLGEMMInterleave4x4Kernel, CLGEMMTranspose1xWKernel, @ref CLGEMMMatrixMultiplyKernel, CLGEMMMatrixAdditionKernel / @ref CLGEMM + - GEMM refactoring + FP16 support: CLGEMMInterleave4x4Kernel, CLGEMMTranspose1xWKernel, CLGEMMMatrixMultiplyKernel, CLGEMMMatrixAdditionKernel / @ref CLGEMM - CLGEMMMatrixAccumulateBiasesKernel / @ref CLFullyConnectedLayer - CLTransposeKernel / @ref CLTranspose - CLLKTrackerInitKernel, CLLKTrackerStage0Kernel, CLLKTrackerStage1Kernel, CLLKTrackerFinalizeKernel / CLOpticalFlow |