COMPMID-3239: Implement QSYMM16 LayerNormalizationKernel for CL

Signed-off-by: Sheri Zhang <sheri.zhang@arm.com>
Change-Id: Ib1577c4a9aa29293a903731b2a4083b0d2243e1e
Signed-off-by: Sheri Zhang <sheri.zhang@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2994
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>

1 files changed, 31 insertions, 3 deletions

diff --git a/tests/validation/fixtures/QLSTMLayerNormalizationFixture.h b/tests/validation/fixtures/QLSTMLayerNormalizationFixture.h
index 5d2cd2bd55..72af9d9241 100644
--- a/tests/validation/fixtures/QLSTMLayerNormalizationFixture.h
+++ b/tests/validation/fixtures/QLSTMLayerNormalizationFixture.h
@@ -26,6 +26,9 @@
 
 #include "arm_compute/core/TensorShape.h"
 #include "arm_compute/core/Types.h"
+#ifdef ARM_COMPUTE_CL
+#include "arm_compute/runtime/CL/CLScheduler.h"
+#endif /* ARM_COMPUTE_CL */
 #include "arm_compute/runtime/NEON/NEScheduler.h"
 #include "tests/AssetsLibrary.h"
 #include "tests/Globals.h"
@@ -98,6 +101,8 @@ protected:
         }
     }
 
+    virtual void run_target(FunctionType &fn) = 0;
+
     TensorType compute_target(const TensorShape &input_shape, const TensorShape &weight_shape, const TensorShape &bias_shape)
     {
         TensorType input  = create_tensor<TensorType>(input_shape, _data_type, 1);
@@ -110,9 +115,7 @@ protected:
         allocate_tensors({ &input, &weight, &bias, &output });
         fill(AccessorType(input), AccessorType(weight), AccessorType(bias));
 
-        ThreadInfo tinfo;
-        tinfo.cpu_info = &NEScheduler::get().cpu_info();
-        fn.run(fn.window(), tinfo);
+        run_target(fn);
 
         return output;
     }
@@ -136,6 +139,31 @@ protected:
     QuantizationInfo _qinfo{};
 };
 
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class NEQLSTMLayerNormalizationValidationFixture : public QLSTMLayerNormalizationValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+protected:
+    void run_target(FunctionType &fn) override
+    {
+        ThreadInfo tinfo;
+        tinfo.cpu_info = &NEScheduler::get().cpu_info();
+        fn.run(fn.window(), tinfo);
+    }
+};
+
+#ifdef ARM_COMPUTE_CL
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class CLQLSTMLayerNormalizationValidationFixture : public QLSTMLayerNormalizationValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+protected:
+    void run_target(FunctionType &fn) override
+    {
+        CLScheduler::get().default_init();
+        fn.run(fn.window(), CLScheduler::get().queue());
+    }
+};
+#endif /* ARM_COMPUTE_CL */
+
 } // namespace validation
 } // namespace test
 } // namespace arm_compute