COMPMID-3069: Removing deprecated functions and classes from 20.05 release

Change-Id: Ic4d20995d6c6bb76d07113e86247bad2722e4e83
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3244
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

2 files changed, 11 insertions, 10 deletions

diff --git a/docs/00_introduction.dox b/docs/00_introduction.dox
index 6fed3080f9..39b83f27a3 100644
--- a/docs/00_introduction.dox
+++ b/docs/00_introduction.dox
@@ -299,6 +299,9 @@ v20.05 Public major release
      - NEGEMMLowpQuantizeDownInt32ToUint8Scale
  - Removed CPP kernels / functions:
      - CPPFlipWeightsKernel
+ - Removed PoolingLayerInfo constructors without Data Layout.
+ - Removed CLDepthwiseConvolutionLayer3x3
+ - Removed NEDepthwiseConvolutionLayerOptimized
 
 v20.02.1 Maintenance release
  - Added Android-NN build script.
@@ -308,7 +311,7 @@ v20.02 Public major release
  - Various optimisations.
  - Added new data type QASYMM8_SIGNED support for:
      - @ref CLDepthwiseConvolutionLayer
-     - @ref CLDepthwiseConvolutionLayer3x3
+     - CLDepthwiseConvolutionLayer3x3
      - @ref CLGEMMConvolutionLayer
      - @ref CLGEMMLowpMatrixMultiplyCore
      - @ref CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel
@@ -340,9 +343,9 @@ v20.02 Public major release
      - @ref NEFill
      - @ref NEGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel / @ref NEGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPoint
  - Deprecated NEON functions / interfaces:
-     - @ref CLDepthwiseConvolutionLayer3x3
-     - @ref NEDepthwiseConvolutionLayerOptimized
-     - @ref PoolingLayerInfo constructors without Data Layout.
+     - CLDepthwiseConvolutionLayer3x3
+     - NEDepthwiseConvolutionLayerOptimized
+     - PoolingLayerInfo constructors without Data Layout.
  - Added support for quantization with multiplier greater than 1 on NEON and CL.
  - Added support for quantized inputs of type QASYMM8_SIGNED and QASYMM8 to @ref CLQuantizationLayer.
  - Added the ability to build bootcode for bare metal.
@@ -486,8 +489,8 @@ 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 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.
+ - The CLDepthwiseConvolutionLayer3x3 will be included by @ref CLDepthwiseConvolutionLayer to accommodate for future optimizations.
+ - The 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
@@ -815,7 +818,7 @@ v18.02 Public major release
     - @ref NEDepthwiseConvolutionLayer
     - @ref NESoftmaxLayer
  - Added FP16 support to:
-    - @ref CLDepthwiseConvolutionLayer3x3
+    - CLDepthwiseConvolutionLayer3x3
     - @ref CLDepthwiseConvolutionLayer
  - Added broadcasting support to @ref NEArithmeticAddition / @ref CLArithmeticAddition / @ref CLPixelWiseMultiplication
  - Added fused batched normalization and activation to @ref CLBatchNormalizationLayer and @ref NEBatchNormalizationLayer
@@ -941,7 +944,7 @@ v17.09 Public major release
     - @ref NEReshapeLayerKernel / @ref NEReshapeLayer
 
  - New OpenCL kernels / functions:
-    - @ref CLDepthwiseConvolutionLayer3x3NCHWKernel @ref CLDepthwiseConvolutionLayer3x3NHWCKernel CLDepthwiseIm2ColKernel CLDepthwiseVectorToTensorKernel CLDepthwiseWeightsReshapeKernel / @ref CLDepthwiseConvolutionLayer3x3 @ref CLDepthwiseConvolutionLayer CLDepthwiseSeparableConvolutionLayer
+    - @ref CLDepthwiseConvolutionLayer3x3NCHWKernel @ref CLDepthwiseConvolutionLayer3x3NHWCKernel CLDepthwiseIm2ColKernel CLDepthwiseVectorToTensorKernel CLDepthwiseWeightsReshapeKernel / CLDepthwiseConvolutionLayer3x3 @ref CLDepthwiseConvolutionLayer CLDepthwiseSeparableConvolutionLayer
     - @ref CLDequantizationLayerKernel / @ref CLDequantizationLayer
     - @ref CLDirectConvolutionLayerKernel / @ref CLDirectConvolutionLayer
     - @ref CLFlattenLayer
diff --git a/docs/06_functions_list.dox b/docs/06_functions_list.dox
index b6b94c4ade..155a356f30 100644
--- a/docs/06_functions_list.dox
+++ b/docs/06_functions_list.dox
@@ -123,7 +123,6 @@ namespace arm_compute
     - @ref NEDeconvolutionLayer
     - @ref NEDepthwiseConvolutionAssemblyDispatch
     - @ref NEDepthwiseConvolutionLayer
-    - @ref NEDepthwiseConvolutionLayerOptimized
     - @ref NEDequantizationLayer
     - @ref NEDerivative
     - @ref NEDetectionPostProcessLayer
@@ -201,7 +200,6 @@ namespace arm_compute
     - @ref CLDeconvolutionLayerUpsample
     - @ref CLDepthToSpaceLayer
     - @ref CLDepthwiseConvolutionLayer
-    - @ref CLDepthwiseConvolutionLayer3x3
     - @ref CLDequantizationLayer
     - @ref CLDirectConvolutionLayer
     - @ref CLDirectDeconvolutionLayer