Fix manual LOOP_UNROLLING

The issue is caused by the number of iterations passed to
LOOP_UNROLLING. When we use the manual LOOP_UNROLLING, the number of
iterations must be less than or equal to 128.
To overcome this problem, we create a utility function to check if
any of the critical iterations (kernel dimensions) are beyond that
limit. If so, the utility function, disable the manual loop unrolling.

Resolves COMPMID-4609

Change-Id: I7221c967609e462a5abd1cbb74e2a120f344fcb3
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5913
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 10 insertions, 0 deletions

diff --git a/tests/datasets/DepthwiseConvolutionLayerDataset.h b/tests/datasets/DepthwiseConvolutionLayerDataset.h
index 3b17910eac..82ea40ff52 100644
--- a/tests/datasets/DepthwiseConvolutionLayerDataset.h
+++ b/tests/datasets/DepthwiseConvolutionLayerDataset.h
@@ -155,6 +155,16 @@ public:
     }
 };
 
+/** Dataset containing large kernel size for generic depthwise convolution. */
+class LargeKernelSizeDepthwiseConvolutionLayerNHWCDataset final : public DepthwiseConvolutionLayerDataset
+{
+public:
+    LargeKernelSizeDepthwiseConvolutionLayerNHWCDataset()
+    {
+        add_config(TensorShape(6U, 210U, 8U), Size2D(4U, 194U), PadStrideInfo(1, 1, 0, 0));
+    }
+};
+
 /** Dataset containing small, 3x3 depthwise convolution shapes. */
 class SmallDepthwiseConvolutionLayerDataset3x3 final : public DepthwiseConvolutionLayerDataset
 {