Rework OpenCL Depthwise Convolution

- Remove dedicated kernels for NCHW. Now we only use NHWC with permute
- Remove specialized kernels for 3x3 NHWC
- Simplify CLDepthwiseConvolutionLayer.cpp to call just the native
  implementation for both floating-point and quantized data types
- Develop two parametric opencl kernels for depthwise convolution layer NHWC
  (floating-point and quantized)
- Add support to export the weights to cl_image
- Extend test for depthwise convolution on opencl

Resolves COMPMID-4417

Change-Id: I253dd5d959a70783c82e62b1771a5e9f91621cb0
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5806
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>

1 files changed, 2 insertions, 3 deletions

diff --git a/tests/validation/CL/DepthwiseConvolutionLayer.cpp b/tests/validation/CL/DepthwiseConvolutionLayer.cpp
index c88f7c1624..e6bf8801bb 100644
--- a/tests/validation/CL/DepthwiseConvolutionLayer.cpp
+++ b/tests/validation/CL/DepthwiseConvolutionLayer.cpp
@@ -48,13 +48,12 @@ constexpr RelativeTolerance<float>   tolerance_f32(0.01f);                  /**<
 constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(0);                  /**< Tolerance value for comparing reference's output against implementation's output for DataType::QASYMM8 */
 constexpr float                      tolerance_num = 0.05f;                 /**< Tolerance number */
 
-const auto depth_multipliers       = framework::dataset::make("DepthMultiplier", { 1, 2, 5 });
+const auto depth_multipliers       = framework::dataset::make("DepthMultiplier", { 1, 5 });
 const auto large_depth_multipliers = framework::dataset::make("DepthMultiplier", { 1, 2, 5, 8 });
 
 //Activation Functions
 const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo",
 {
-    ActivationLayerInfo(),
     ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
     ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f, 0.f)
 });
@@ -355,7 +354,7 @@ FIXTURE_DATA_TEST_CASE_NEW(RunMixedDataLayout, CLDepthwiseConvolutionLayerMixedD
                                                    framework::dataset::make("DataType",
                                                                             DataType::F32)),
                                            framework::dataset::make("DataLayout", DataLayout::NHWC)),
-                                    framework::dataset::make("ActivationInfo", ActivationLayerInfo())))
+                                   framework::dataset::make("ActivationInfo", ActivationLayerInfo())))
 {
     validate(CLAccessor(_target), _reference, tolerance_f32);
 }