COMPMID-935 - Implementing Convolution with Winograd on OpenCL (part 2)

Implemented Winograd Filter Transform 3x3 on OpenCL

Change-Id: I8f2b2dd938c5c000ef7ce392a37fb7b8b4202a4e
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/122708
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>

1 files changed, 32 insertions, 0 deletions

diff --git a/tests/datasets/ShapeDatasets.h b/tests/datasets/ShapeDatasets.h
index 4b563708e1..e939a6f5a7 100644
--- a/tests/datasets/ShapeDatasets.h
+++ b/tests/datasets/ShapeDatasets.h
@@ -238,6 +238,38 @@ public:
     }
 };
 
+/** Data set containing medium 3D tensor shapes. */
+class Medium3DShapes final : public ShapeDataset
+{
+public:
+    Medium3DShapes()
+        : ShapeDataset("Shape",
+    {
+        TensorShape{ 42U, 37U, 8U },
+                     TensorShape{ 57U, 60U, 13U },
+                     TensorShape{ 128U, 64U, 21U },
+                     TensorShape{ 83U, 72U, 14U }
+    })
+    {
+    }
+};
+
+/** Data set containing medium 4D tensor shapes. */
+class Medium4DShapes final : public ShapeDataset
+{
+public:
+    Medium4DShapes()
+        : ShapeDataset("Shape",
+    {
+        TensorShape{ 42U, 37U, 8U, 15U },
+                     TensorShape{ 57U, 60U, 13U, 8U },
+                     TensorShape{ 128U, 64U, 21U, 13U },
+                     TensorShape{ 83U, 72U, 14U, 5U }
+    })
+    {
+    }
+};
+
 /** Data set containing large tensor shapes. */
 class LargeShapes final : public ShapeDataset
 {