1 files changed, 91 insertions, 0 deletions
diff --git a/tests/validation/fixtures/Im2ColFixture.h b/tests/validation/fixtures/Im2ColFixture.h
index b1fbd76eb2..38970116f6 100644
--- a/tests/validation/fixtures/Im2ColFixture.h
+++ b/tests/validation/fixtures/Im2ColFixture.h
@@ -45,6 +45,97 @@ namespace validation
 using namespace arm_compute::misc::shape_calculator;
 
 template <typename TensorType, typename AccessorType, typename FunctionType, typename T, bool batch_size_on_z>
+class Im2ColOpValidationFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape input_shape, DataType data_type, const Size2D &kernel_dims, const PadStrideInfo &conv_info, const QuantizationInfo &quant_info, const DataLayout &data_layout,
+               unsigned int num_groups)
+    {
+        _kernel_dims = kernel_dims;
+        _conv_info   = conv_info;
+        _quant_info  = quant_info;
+        _data_layout = data_layout;
+        _has_bias    = data_type != DataType::QASYMM8;
+        _num_groups  = num_groups;
+
+        if(_data_layout == DataLayout::NHWC)
+        {
+            permute(input_shape, PermutationVector(2U, 0U, 1U));
+        }
+
+        TensorInfo input_info(input_shape, 1, data_type);
+        input_info.set_data_layout(_data_layout);
+
+        const TensorShape output_shape = compute_im2col_conv_shape(&input_info, _kernel_dims, _conv_info, _has_bias, Size2D(1U, 1U), batch_size_on_z && _num_groups == 1, _num_groups);
+        _target                        = compute_target(input_shape, output_shape, data_type);
+
+        compute_reference(input_shape, output_shape, data_type);
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor)
+    {
+        library->fill_tensor_uniform(tensor, 0);
+    }
+
+    TensorType compute_target(const TensorShape &input_shape, const TensorShape &output_shape, DataType data_type)
+    {
+        // Create tensors
+        TensorType src = create_tensor<TensorType>(input_shape, data_type, 1, _quant_info, _data_layout);
+        TensorType dst = create_tensor<TensorType>(output_shape, data_type, 1, _quant_info);
+
+        // Create and configure function
+        FunctionType im2col_func;
+        im2col_func.configure(src.info(), dst.info(), _kernel_dims, _conv_info, _has_bias, Size2D(1U, 1U), _num_groups);
+
+        ARM_COMPUTE_ASSERT(src.info()->is_resizable());
+        ARM_COMPUTE_ASSERT(dst.info()->is_resizable());
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        ARM_COMPUTE_ASSERT(!src.info()->is_resizable());
+        ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
+
+        // Fill tensors
+        fill(AccessorType(src));
+
+        arm_compute::ITensorPack pack =
+        {
+            { arm_compute::TensorType::ACL_SRC, &src },
+            { arm_compute::TensorType::ACL_DST, &dst }
+        };
+        // Compute function
+        im2col_func.run(pack);
+
+        return dst;
+    }
+
+    void compute_reference(const TensorShape &input_shape, const TensorShape &output_shape, DataType data_type)
+    {
+        // Create reference
+        SimpleTensor<T> src{ input_shape, data_type, 1, _quant_info, _data_layout };
+        _reference = SimpleTensor<T>(output_shape, data_type, 1, _quant_info, DataLayout::NCHW);
+
+        // Fill reference
+        fill(src);
+
+        reference::im2col<T>(src, _reference, _kernel_dims, _conv_info, _has_bias, _num_groups);
+    }
+    TensorType       _target{};
+    SimpleTensor<T>  _reference{};
+    Size2D           _kernel_dims{};
+    PadStrideInfo    _conv_info{};
+    DataLayout       _data_layout{};
+    QuantizationInfo _quant_info{};
+    bool             _has_bias{};
+    unsigned int     _num_groups{};
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T, bool batch_size_on_z>
 class Im2ColValidationFixture : public framework::Fixture
 {
 public: