COMPMID-1276 - Allow GEMM to work with 3D input tensor

Skipped im2col in CLGEMMConvolutionLayer for 1x1 convolutions with NHWC data layout

Change-Id: I894e6b952ed8605e8f3ffc0ffc25c24730d4664c
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/141909
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>

1 files changed, 11 insertions, 17 deletions

diff --git a/tests/validation/fixtures/GEMMFixture.h b/tests/validation/fixtures/GEMMFixture.h
index e4762cc5be..255b12c0ed 100644
--- a/tests/validation/fixtures/GEMMFixture.h
+++ b/tests/validation/fixtures/GEMMFixture.h
@@ -42,8 +42,8 @@ namespace test
 {
 namespace validation
 {
-template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
-class GEMMValidationFixedPointFixture : public framework::Fixture
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T, bool reinterpret_input_as_3d = false, bool reinterpret_ouput_as_3d = false>
+class GEMMValidationFixture : public framework::Fixture
 {
 public:
     template <typename...>
@@ -87,10 +87,7 @@ protected:
         // The GEMMinfo includes the values of the depth in case of reinterpreted 3d output.
         // If the output shape has the same number of dimensions of the input the method called is a 2D matrix multiplication (depth_output_reinterpreted_as_3D = 1),
         // in the other case we have to use the reinterpreted version of GEMM (depth_output_reinterpreted_as_3D = depth of the 3D output).
-        bool is_output_reinterpreted_as_3D = output_shape.num_dimensions() > shape_a.num_dimensions();
-        gemm.configure(&a, &b, &c, &dst, alpha, beta,
-                       GEMMInfo(false, false, false, is_output_reinterpreted_as_3D ? output_shape[2] : 1));
-
+        gemm.configure(&a, &b, &c, &dst, alpha, beta, GEMMInfo(false, false, false, (reinterpret_ouput_as_3d ? output_shape[2] : 1), reinterpret_input_as_3d));
         ARM_COMPUTE_EXPECT(a.info()->is_resizable(), framework::LogLevel::ERRORS);
         ARM_COMPUTE_EXPECT(b.info()->is_resizable(), framework::LogLevel::ERRORS);
         ARM_COMPUTE_EXPECT(c.info()->is_resizable(), framework::LogLevel::ERRORS);
@@ -121,8 +118,15 @@ protected:
     SimpleTensor<T> compute_reference(const TensorShape &shape_a, const TensorShape &shape_b, const TensorShape &shape_c, const TensorShape &output_shape, float alpha, float beta,
                                       DataType data_type)
     {
+        TensorShape shape_a_to_use = shape_a;
+        if(reinterpret_input_as_3d)
+        {
+            // Collapse the second and third dimension if the input is 3D
+            shape_a_to_use.collapse(2U, 1U);
+        }
+
         // Create reference
-        SimpleTensor<T> a{ shape_a, data_type, 1 };
+        SimpleTensor<T> a{ shape_a_to_use, data_type, 1 };
         SimpleTensor<T> b{ shape_b, data_type, 1 };
         SimpleTensor<T> c{ shape_c, data_type, 1 };
 
@@ -139,16 +143,6 @@ protected:
     DataType        _data_type{};
 };
 
-template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
-class GEMMValidationFixture : public GEMMValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T>
-{
-public:
-    template <typename...>
-    void setup(TensorShape shape_a, TensorShape shape_b, TensorShape shape_c, TensorShape output_shape, float alpha, float beta, DataType data_type)
-    {
-        GEMMValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T>::setup(shape_a, shape_b, shape_c, output_shape, alpha, beta, data_type);
-    }
-};
 } // namespace validation
 } // namespace test
 } // namespace arm_compute