From b785dd4a4e1e662630f4d79e0f578513958a71fd Mon Sep 17 00:00:00 2001
From: Georgios Pinitas <georgios.pinitas@arm.com>
Date: Thu, 19 Sep 2019 12:09:32 +0100
Subject: COMPMID-2670: [CL/GC] Create a test case for dynamic tensor support

Change-Id: I35d28786ee3843ac11c1211aea55328782a99382
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1958
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
---
 .../fixtures/UNIT/DynamicTensorFixture.h           | 38 +++++++++++++++++-----
 1 file changed, 29 insertions(+), 9 deletions(-)

(limited to 'tests/validation/fixtures/UNIT/DynamicTensorFixture.h')

diff --git a/tests/validation/fixtures/UNIT/DynamicTensorFixture.h b/tests/validation/fixtures/UNIT/DynamicTensorFixture.h
index df12a4aa30..66ef6c4aff 100644
--- a/tests/validation/fixtures/UNIT/DynamicTensorFixture.h
+++ b/tests/validation/fixtures/UNIT/DynamicTensorFixture.h
@@ -89,6 +89,26 @@ public:
     MemoryGroup                      mg;
     size_t                           num_pools;
 };
+
+template <typename MemoryMgrType, typename FuncType, typename ITensorType>
+class SimpleFunctionWrapper
+{
+public:
+    SimpleFunctionWrapper(std::shared_ptr<MemoryMgrType> mm)
+        : _func(mm)
+    {
+    }
+    void configure(ITensorType *src, ITensorType *dst)
+    {
+    }
+    void run()
+    {
+        _func.run();
+    }
+
+private:
+    FuncType _func;
+};
 } // namespace
 
 /** Simple test case to run a single function with different shapes twice.
@@ -102,7 +122,7 @@ template <typename TensorType,
           typename LifetimeMgrType,
           typename PoolMgrType,
           typename MemoryManagerType,
-          typename NormalizationFunctionType>
+          typename SimpleFunctionWrapperType>
 class DynamicTensorType3SingleFunction : public framework::Fixture
 {
     using T                           = float;
@@ -131,15 +151,15 @@ protected:
 
         // Level 0
         // Create tensors
-        TensorType src = create_tensor<Tensor>(level_0, DataType::F32, 1);
-        TensorType dst = create_tensor<Tensor>(level_0, DataType::F32, 1);
+        TensorType src = create_tensor<TensorType>(level_0, DataType::F32, 1);
+        TensorType dst = create_tensor<TensorType>(level_0, DataType::F32, 1);
 
         serv_cross.mg.manage(&src);
         serv_cross.mg.manage(&dst);
 
         // Create and configure function
-        NormalizationFunctionType norm_layer(serv_internal.mm);
-        norm_layer.configure(&src, &dst, NormalizationLayerInfo(NormType::CROSS_MAP, 3));
+        SimpleFunctionWrapperType layer(serv_internal.mm);
+        layer.configure(&src, &dst);
 
         ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
         ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
@@ -163,8 +183,8 @@ protected:
 
         // Acquire memory manager, fill tensors and compute functions
         serv_cross.mg.acquire();
-        arm_compute::test::library->fill_tensor_value(Accessor(src), 12.f);
-        norm_layer.run();
+        arm_compute::test::library->fill_tensor_value(AccessorType(src), 12.f);
+        layer.run();
         serv_cross.mg.release();
 
         // Clear manager
@@ -184,7 +204,7 @@ protected:
         serv_cross.mg.manage(&dst);
 
         // Re-configure the function
-        norm_layer.configure(&src, &dst, NormalizationLayerInfo(NormType::CROSS_MAP, 3));
+        layer.configure(&src, &dst);
 
         // Allocate tensors
         src.allocator()->allocate();
@@ -203,7 +223,7 @@ protected:
         // Compute functions
         serv_cross.mg.acquire();
         arm_compute::test::library->fill_tensor_value(AccessorType(src), 12.f);
-        norm_layer.run();
+        layer.run();
         serv_cross.mg.release();
 
         // Clear manager
-- 
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