commit 5c9eed82102b29381cfcf36a0e98d3c5239f37e5
author Gian Marco Iodice <gianmarco.iodice@arm.com> Fri Mar 19 11:26:20 2021 +0000
committer Gian Marco Iodice <gianmarco.iodice@arm.com> Tue Mar 23 14:16:34 2021 +0000
tree fdfcbe642f4d7896e477583d74f81e7e30271465
parent 1efed925da927cc47bff6327c66f252b65c660bc

Extend direct convolution (F32/F16/QASYMM8)

The new function can handle different block sizes (M0, N0)

New utility macros have been developed to simplify the work and the
future OpenCL kernel development. In particular the work has been done
to also consider cases with:
- the texture pipe support
- dynamic tensor shape support

Change-Id: Ife4c64baf07517938bb8ad18e6a5f4579345c40f
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5297
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

tests/validation/CL/DirectConvolutionLayer.cpp

diff --git a/tests/validation/CL/DirectConvolutionLayer.cpp b/tests/validation/CL/DirectConvolutionLayer.cpp
index e244576..4671d8c 100644
--- a/tests/validation/CL/DirectConvolutionLayer.cpp
+++ b/tests/validation/CL/DirectConvolutionLayer.cpp
@@ -183,7 +183,7 @@
                framework::dataset::make("PadX", { 1, 3, 0, 4 })),
                framework::dataset::make("PadY", { 1, 3, 0, 4 })),
                framework::dataset::make("KernelSize", { 3, 8, 1, 9 })),
-               framework::dataset::make("NumKernels", { 7, 3, 1, 3 })),
+               framework::dataset::make("NumKernels", { 17, 3, 1, 19 })),
                framework::dataset::make("DataType",  DataType::F16)),
                framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) )),
                framework::dataset::make("DataLayout", DataLayout::NHWC)))
@@ -221,7 +221,7 @@
                framework::dataset::make("PadX", { 1, 3, 0, 4 })),
                framework::dataset::make("PadY", { 1, 3, 0, 4 })),
                framework::dataset::make("KernelSize", { 3, 8, 1, 9 })),
-               framework::dataset::make("NumKernels", { 7, 3, 1, 3 })),
+               framework::dataset::make("NumKernels", { 17, 3, 1, 19 })),
                framework::dataset::make("DataType",  DataType::F32)),
                framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU) )),
                framework::dataset::make("DataLayout", DataLayout::NHWC)))