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, 0 insertions, 14 deletions

diff --git a/filelist.json b/filelist.json
index 0e17944e1d..1eef446609 100644
--- a/filelist.json
+++ b/filelist.json
@@ -371,20 +371,6 @@
           ]
         }
       },
-      "DepthwiseConvolutionLayer3x3NCHW": {
-        "files": {
-          "kernel": [
-            "src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3NCHWKernel.cpp"
-          ]
-        }
-      },
-      "DepthwiseConvolutionLayer3x3NHWC": {
-        "files": {
-          "kernel": [
-            "src/core/CL/kernels/CLDepthwiseConvolutionLayer3x3NHWCKernel.cpp"
-          ]
-        }
-      },
       "DepthwiseConvolutionLayerNative": {
         "files": {
           "kernel": [