Provide tests for fusing pad layer in graph API

There are two tests:
    - A unit test that checks if certain padding configurations are to be
      fused or not
    - A fixture test that compares a reference implementation of pad+conv
      vs target implementation using the same fusing logic as graph API

Tests are written for CL backend only to prevent code duplication.
The code written in the graph API remains untested.

Resolves: COMPMID-4702
Change-Id: Ie84d1cb910013033b46ac9d66cf5fc556d4963d2
Signed-off-by: Gunes Bayir <gunes.bayir@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6252
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Sheri Zhang <sheri.zhang@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 11 insertions, 0 deletions

diff --git a/tests/datasets/SmallConvolutionLayerDataset.h b/tests/datasets/SmallConvolutionLayerDataset.h
index 7d1db5a73e..67eade1e64 100644
--- a/tests/datasets/SmallConvolutionLayerDataset.h
+++ b/tests/datasets/SmallConvolutionLayerDataset.h
@@ -181,6 +181,17 @@ public:
     }
 };
 
+class SmallConvolutionLayerPrePaddingDataset final : public ConvolutionLayerDataset
+{
+public:
+    SmallConvolutionLayerPrePaddingDataset()
+    {
+        // output shape is calculated by accounting pre-padding layer as well -- all the data is in nchw
+        add_config(TensorShape(17U, 31U, 2U), TensorShape(5U, 5U, 2U, 19U), TensorShape(19U), TensorShape(17U, 16U, 19U), PadStrideInfo(1, 2, 1, 1));
+        add_config(TensorShape(33U, 27U, 7U), TensorShape(5U, 5U, 7U, 16U), TensorShape(16U), TensorShape(12U, 13U, 16U), PadStrideInfo(3, 2, 2, 0));
+    }
+};
+
 class SmallConvolutionLayerReducedDataset final : public ConvolutionLayerDataset
 {
 public: