Remove Compute Vision CL support

Resolves COMPMID-4151

Change-Id: I46f541efe8c4087f27794d2e158b6c1547d459ba
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5160
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>

1 files changed, 73 insertions, 32 deletions

diff --git a/docs/00_introduction.dox b/docs/00_introduction.dox
index 7659d56e25..8616cb6d13 100644
--- a/docs/00_introduction.dox
+++ b/docs/00_introduction.dox
@@ -27,7 +27,7 @@ namespace arm_compute
 
 @tableofcontents
 
-The Computer Vision and Machine Learning library is a set of functions optimised for both Arm CPUs and GPUs using SIMD technologies.
+The Compute Library is a collection of low-level machine learning functions optimized for both Arm CPUs and GPUs using SIMD technologies.
 
 Several builds of the library are available using various configurations:
  - OS: Linux, Android, macOS or bare metal.
@@ -95,6 +95,7 @@ v21.05 Public major release
    - NEChannelCombine
    - NEChannelExtract
    - NEColorConvert
+   - NEConvolution
    - NEDerivative
    - NEDilate
    - NEEqualizeHistogram
@@ -119,7 +120,6 @@ v21.05 Public major release
    - NENonLinearFilter
    - NEOpticalFlow
    - NEPhase
-   - NERemap
    - NEScharr3x3
    - NESobel3x3
    - NESobel5x5
@@ -127,9 +127,52 @@ v21.05 Public major release
    - NETableLookup
    - NEThreshold
    - NEWarpAffine
-   - NEWarpPerspective
- - Remove all GLES kernels / functions / tests / examples
+   - NEWarpPerspectiveKernel
 
+ - Remove all GLES kernels / functions / tests / examples
+ - Removed computer vision support from CL backend
+ - Removed the following functions:
+   - CLAbsoluteDifference
+   - CLAccumulate
+   - CLBox3x3
+   - CLCannyEdge
+   - CLChannelCombine
+   - CLChannelExtract
+   - CLColorConvert
+   - CLConvolution
+   - CLDerivative
+   - CLDilate
+   - CLEqualizeHistogram
+   - CLErode
+   - CLFastCorners
+   - CLGaussian3x3
+   - CLGaussian5x5
+   - CLGaussianPyramid
+   - CLHOGDescriptor
+   - CLHOGDetector
+   - CLHOGGradient
+   - CLHOGMultiDetection
+   - CLHarrisCorners
+   - CLHistogram
+   - CLIntegralImage
+   - CLLaplacianPyramid
+   - CLLaplacianReconstruct
+   - CLMagnitude
+   - CLMeanStdDev
+   - CLMedian3x3
+   - CLMinMaxLocation
+   - CLNonLinearFilter
+   - CLOpticalFlow
+   - CLPhase
+   - CLScharr3x3
+   - CLSobel3x3
+   - CLSobel5x5
+   - CLSobel7x7
+   - CLTableLookup
+   - CLThreshold
+   - CLWarpAffine
+   - CLWarpPerspective
+ 
 v21.02 Public major release
  - Various bug fixes.
  - Various optimisations.
@@ -212,8 +255,8 @@ v20.11 Public major release
    - @ref NELogicalOr
  - Removed padding from Neon kernels:
    - @ref NEComplexPixelWiseMultiplicationKernel
-   - @ref NENonMaximaSuppression3x3Kernel
-   - NERemapKernel
+   - NENonMaximaSuppression3x3Kernel
+   - @ref NERemapKernel
    - @ref NEGEMMInterleave4x4Kernel
    - @ref NEDirectConvolutionLayerKernel
    - @ref NEScaleKernel
@@ -221,7 +264,7 @@ v20.11 Public major release
    - @ref NEGEMMLowpOffsetContributionKernel
    - @ref NEGEMMTranspose1xWKernel
    - NEPoolingLayerKernel
-   - @ref NEConvolutionKernel
+   - NEConvolutionKernel
    - @ref NEDepthwiseConvolutionLayerNativeKernel
    - @ref NEGEMMLowpMatrixMultiplyKernel
    - @ref NEGEMMMatrixMultiplyKernel
@@ -534,7 +577,7 @@ v20.08 Public major release
    - NEGEMMLowpQuantizeDownInt32ToUint8Scale
    - NEGEMMMatrixAccumulateBiasesKernel
  - Deprecated functions / interfaces:
-   - Non-descriptor based interfaces for NEThreshold, @ref CLThreshold
+   - Non-descriptor based interfaces for NEThreshold, CLThreshold
    - Non-descriptor based interfaces for @ref NEScale, @ref CLScale and GCScale
    - In @ref NESoftmaxLayer, @ref NELogSoftmaxLayer, @ref CLSoftmaxLayer, @ref CLLogSoftmaxLayer and GCSoftmaxLayer :
       The default "axis" value for @ref CLSoftmaxLayer, @ref CLLogSoftmaxLayer and GCSoftmaxLayer is changed from 1 to 0.
@@ -791,7 +834,7 @@ v19.08 Public major release
     - @ref CLGEMMLowpMatrixMultiplyNativeKernel
     - CLGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel
     - @ref CLGEMMMatrixMultiplyNativeKernel
-    - @ref CLMeanStdDevNormalizationKernel / @ref CLMeanStdDevNormalizationLayer
+    - CLMeanStdDevNormalizationKernel /CLMeanStdDevNormalizationLayer
     - @ref CLSpaceToDepthLayerKernel / @ref CLSpaceToDepthLayer
  - New examples:
     - neon_opticalflow
@@ -1286,7 +1329,7 @@ v17.06 Public major release
  - New OpenCL kernels / functions:
     - @ref CLBatchNormalizationLayerKernel / @ref CLBatchNormalizationLayer
     - CLDepthConcatenateLayerKernel / CLDepthConcatenateLayer
-    - @ref CLHOGOrientationBinningKernel @ref CLHOGBlockNormalizationKernel, @ref CLHOGDetectorKernel / @ref CLHOGDescriptor @ref CLHOGDetector @ref CLHOGGradient @ref CLHOGMultiDetection
+    - CLHOGOrientationBinningKernel CLHOGBlockNormalizationKernel, CLHOGDetectorKernel / CLHOGDescriptor CLHOGDetector CLHOGGradient CLHOGMultiDetection
     - CLLocallyConnectedMatrixMultiplyKernel / CLLocallyConnectedLayer
     - @ref CLWeightsReshapeKernel / @ref CLConvolutionLayerReshapeWeights
  - New C++ kernels:
@@ -1308,12 +1351,12 @@ v17.05 Public bug fixes release
 v17.04 Public bug fixes release
 
  The following functions have been ported to use the new accurate padding:
- -  @ref CLColorConvertKernel
- -  @ref CLEdgeNonMaxSuppressionKernel
- -  @ref CLEdgeTraceKernel
- -  @ref CLGaussianPyramidHorKernel
- -  @ref CLGaussianPyramidVertKernel
- -  @ref CLGradientKernel
+ -  CLColorConvertKernel
+ -  CLEdgeNonMaxSuppressionKernel
+ -  CLEdgeTraceKernel
+ -  CLGaussianPyramidHorKernel
+ -  CLGaussianPyramidVertKernel
+ -  CLGradientKernel
  -  NEChannelCombineKernel
  -  @ref NEFillArrayKernel
  -  NEGaussianPyramidHorKernel
@@ -1324,8 +1367,8 @@ v17.04 Public bug fixes release
  -  NELogits1DMaxKernel
  -  NELogits1DShiftExpSumKernel
  -  NELogits1DNormKernel
- -  @ref NENonMaximaSuppression3x3FP16Kernel
- -  @ref NENonMaximaSuppression3x3Kernel
+ -  NENonMaximaSuppression3x3FP16Kernel
+ -  NENonMaximaSuppression3x3Kernel
 
 v17.03.1 First Major public release of the sources
  - Renamed the library to arm_compute
@@ -1343,13 +1386,13 @@ v17.03.1 First Major public release of the sources
 
 v17.03 Sources preview
  - New OpenCL kernels / functions:
-   - @ref CLGradientKernel, @ref CLEdgeNonMaxSuppressionKernel, @ref CLEdgeTraceKernel / @ref CLCannyEdge
+   - CLGradientKernel, CLEdgeNonMaxSuppressionKernel, CLEdgeTraceKernel / CLCannyEdge
    - GEMM refactoring + FP16 support: CLGEMMInterleave4x4Kernel, CLGEMMTranspose1xWKernel, @ref CLGEMMMatrixMultiplyKernel, CLGEMMMatrixAdditionKernel / @ref CLGEMM
    - CLGEMMMatrixAccumulateBiasesKernel / @ref CLFullyConnectedLayer
    - @ref CLTransposeKernel / @ref CLTranspose
-   - @ref CLLKTrackerInitKernel, @ref CLLKTrackerStage0Kernel, @ref CLLKTrackerStage1Kernel, @ref CLLKTrackerFinalizeKernel / @ref CLOpticalFlow
+   - @ref CLLKTrackerInitKernel, @ref CLLKTrackerStage0Kernel, @ref CLLKTrackerStage1Kernel, @ref CLLKTrackerFinalizeKernel / CLOpticalFlow
    - @ref CLNormalizationLayerKernel / @ref CLNormalizationLayer
-   - @ref CLLaplacianPyramid, @ref CLLaplacianReconstruct
+   - CLLaplacianPyramid, CLLaplacianReconstruct
  - New Neon kernels / functions:
    - NEActivationLayerKernel / @ref NEActivationLayer
    - GEMM refactoring + FP16 support (Requires armv8.2 CPU): @ref NEGEMMInterleave4x4Kernel, @ref NEGEMMTranspose1xWKernel, @ref NEGEMMMatrixMultiplyKernel, @ref NEGEMMMatrixAdditionKernel / @ref NEGEMM
@@ -1359,23 +1402,23 @@ v17.02.1 Sources preview
  - New OpenCL kernels / functions:
    - CLLogits1DMaxKernel, CLLogits1DShiftExpSumKernel, @ref CLLogits1DNormKernel / @ref CLSoftmaxLayer
    - CLPoolingLayerKernel / @ref CLPoolingLayer
-   - @ref CLIm2ColKernel, @ref CLCol2ImKernel, CLConvolutionLayerWeightsReshapeKernel / @ref CLConvolutionLayer
+   - @ref CLIm2ColKernel, @ref CLCol2ImKernel, CLConvolutionLayerWeightsReshapeKernel / CLConvolutionLayer
    - @ref CLRemapKernel / @ref CLRemap
-   - @ref CLGaussianPyramidHorKernel, @ref CLGaussianPyramidVertKernel / @ref CLGaussianPyramid, @ref CLGaussianPyramidHalf, @ref CLGaussianPyramidOrb
-   - @ref CLMinMaxKernel, @ref CLMinMaxLocationKernel / @ref CLMinMaxLocation
-   - @ref CLNonLinearFilterKernel / @ref CLNonLinearFilter
+   - CLGaussianPyramidHorKernel, CLGaussianPyramidVertKernel / CLGaussianPyramid, CLGaussianPyramidHalf, CLGaussianPyramidOrb
+   - CLMinMaxKernel, CLMinMaxLocationKernel / CLMinMaxLocation
+   - CLNonLinearFilterKernel / CLNonLinearFilter
  - New Neon FP16 kernels (Requires armv8.2 CPU)
    - NEAccumulateWeightedFP16Kernel
    - NEBox3x3FP16Kernel
-   - @ref NENonMaximaSuppression3x3FP16Kernel
+   - NENonMaximaSuppression3x3FP16Kernel
 
 v17.02 Sources preview
  - New OpenCL kernels / functions:
    - CLActivationLayerKernel / @ref CLActivationLayer
-   - @ref CLChannelCombineKernel / @ref CLChannelCombine
-   - @ref CLDerivativeKernel / @ref CLChannelExtract
-   - @ref CLFastCornersKernel / @ref CLFastCorners
-   - @ref CLMeanStdDevKernel / @ref CLMeanStdDev
+   - CLChannelCombineKernel / CLChannelCombine
+   - CLDerivativeKernel / CLChannelExtract
+   - CLFastCornersKernel / CLFastCorners
+   - CLMeanStdDevKernel / CLMeanStdDev
  - New Neon kernels / functions:
    - HOG / SVM: NEHOGOrientationBinningKernel, NEHOGBlockNormalizationKernel, NEHOGDetectorKernel, NEHOGNonMaximaSuppressionKernel / NEHOGDescriptor, NEHOGDetector, NEHOGGradient, NEHOGMultiDetection
    - NENonLinearFilterKernel / NENonLinearFilter
@@ -1893,8 +1936,6 @@ Compute Library requires OpenCL 1.1 and above with support of non uniform workgr
 
 Enabling 16-bit floating point calculations require \a cl_khr_fp16 extension to be supported. All Mali GPUs with compute capabilities have native support for half precision floating points.
 
-Use of @ref CLMeanStdDev function requires 64-bit atomics support, thus \a cl_khr_int64_base_atomics should be supported in order to use.
-
 @subsubsection S3_7_2_cl_performance_requirements Performance improvements
 
 Integer dot product built-in function extensions (and therefore optimized kernels) are available with Mali OpenCL DDK r22p0 and above for the following GPUs : G71, G76. The relevant extensions are \a cl_arm_integer_dot_product_int8, \a cl_arm_integer_dot_product_accumulate_int8 and \a cl_arm_integer_dot_product_accumulate_int16.