COMPMID-3925: Dispatch CLGEMM with no padding y requirement

- Add has_pad_y flag in GEMMKernelInfo
- Skip reinterpret as 3D in CLGEMMMatrixMultiplyReshapedOnlyRHSKernel if
  has_pad_y = false
- Add test to validate CLGEMMMatrixMultiplyReshapedOnlyRHSkernel with
  had_pad_y = false/true
- Configure two variants of CLGEMMMatrixMultiplyReshapedOnlyRHSKernel to
  run with has_pad_y = false/true in CLGEMM
- Check if the lhs/dst tensors have pad y. If not, run
  CLGEMMMatrixMultiplyReshapedOnlyRHSKernel without padding requirement

Change-Id: I68bb43389789736d676b899ac7c77fd9138babaf
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4248
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

3 files changed, 44 insertions, 106 deletions

diff --git a/tests/validation/CL/GEMMMatrixMultiplyReshaped.cpp b/tests/validation/CL/GEMMMatrixMultiplyReshaped.cpp
index 98149ce149..5629a80f8e 100644
--- a/tests/validation/CL/GEMMMatrixMultiplyReshaped.cpp
+++ b/tests/validation/CL/GEMMMatrixMultiplyReshaped.cpp
@@ -340,6 +340,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
                                                                      false /**< reinterpret the input as 3D */,
                                                                      true  /**< Flag used to broadcast the bias addition */,
                                                                      false /**< wider accumm */,
+                                                                     false /**< has pad y */,
                                                                    ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU,
                                                                      1   /**< Multiplication factor for the width of the 1xW transposed block */,
                                                                      1   /**< Multiplication factor for the height of the 4x4 interleaved block */,
@@ -354,6 +355,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
                                                                      false /**< reinterpret the input as 3D */,
                                                                      true  /**< Flag used to broadcast the bias addition */,
                                                                      false /**< wider accumm */,
+                                                                     false /**< has pad y */,
                                                                    ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU,
                                                                      1   /**< Multiplication factor for the width of the 1xW transposed block */,
                                                                      1   /**< Multiplication factor for the height of the 4x4 interleaved block */,
@@ -371,6 +373,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
                                                                      false /**< reinterpret the input as 3D */,
                                                                      false  /**< Flag used to broadcast the bias addition */,
                                                                      false /**< wider accumm */,
+                                                                     false /**< has pad y */,
                                                                    ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU,
                                                                      1   /**< Multiplication factor for the width of the 1xW transposed block */,
                                                                      1   /**< Multiplication factor for the height of the 4x4 interleaved block */,
@@ -386,6 +389,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
                                                                      false /**< reinterpret the input as 3D */,
                                                                      false  /**< Flag used to broadcast the bias addition */,
                                                                      true /**< wider accumm */,
+                                                                     true /**< has pad y */,
                                                                    ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU,
                                                                      1   /**< Multiplication factor for the width of the 1xW transposed block */,
                                                                      1   /**< Multiplication factor for the height of the 4x4 interleaved block */,
@@ -400,6 +404,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
                                                                      false /**< reinterpret the input as 3D */,
                                                                      false  /**< Flag used to broadcast the bias addition */,
                                                                      false /**< wider accumm */,
+                                                                     false /**< has pad y */,
                                                                    ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU,
                                                                      1   /**< Multiplication factor for the width of the 1xW transposed block */,
                                                                      1   /**< Multiplication factor for the height of the 4x4 interleaved block */,
@@ -573,6 +578,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
                                                              false /**< reinterpret the input as 3D */,
                                                              true  /**< Flag used to broadcast the bias addition */,
                                                              false /**< wider accumm */,
+                                                             false /**< has pad y */,
                                                            ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU,
                                                              1   /**< Multiplication factor for the width of the 1xW transposed block */,
                                                              1   /**< Multiplication factor for the height of the 4x4 interleaved block */,
@@ -586,6 +592,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
                                                              false /**< reinterpret the input as 3D */,
                                                              true  /**< Flag used to broadcast the bias addition */,
                                                              false /**< wider accumm */,
+                                                             false /**< has pad y */,
                                                            ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU,
                                                              1   /**< Multiplication factor for the width of the 1xW transposed block */,
                                                              1   /**< Multiplication factor for the height of the 4x4 interleaved block */,
@@ -599,6 +606,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
                                                              false /**< reinterpret the input as 3D */,
                                                              true  /**< Flag used to broadcast the bias addition */,
                                                              false /**< wider accumm */,
+                                                             false /**< has pad y */,
                                                            ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU,
                                                              1   /**< Multiplication factor for the width of the 1xW transposed block */,
                                                              1   /**< Multiplication factor for the height of the 4x4 interleaved block */,
@@ -613,6 +621,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
                                                              false /**< reinterpret the input as 3D */,
                                                              true  /**< Flag used to broadcast the bias addition */,
                                                              false /**< wider accumm */,
+                                                             false /**< has pad y */,
                                                            ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU,
                                                              1   /**< Multiplication factor for the width of the 1xW transposed block */,
                                                              1   /**< Multiplication factor for the height of the 4x4 interleaved block */,
@@ -626,6 +635,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
                                                              false /**< reinterpret the input as 3D */,
                                                              true  /**< Flag used to broadcast the bias addition */,
                                                              false /**< wider accumm */,
+                                                             false /**< has pad y */,
                                                            ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU,
                                                              1   /**< Multiplication factor for the width of the 1xW transposed block */,
                                                              1   /**< Multiplication factor for the height of the 4x4 interleaved block */,
@@ -939,6 +949,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
                                                              false /**< reinterpret the input as 3D */,
                                                              true  /**< Flag used to broadcast the bias addition */,
                                                              false /**< wider accumm */,
+                                                             false /**< has pad y */,
                                                            ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU,
                                                              1   /**< Multiplication factor for the width of the 1xW transposed block */,
                                                              1   /**< Multiplication factor for the height of the 4x4 interleaved block */,
@@ -952,6 +963,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
                                                              false /**< reinterpret the input as 3D */,
                                                              true  /**< Flag used to broadcast the bias addition */,
                                                              false /**< wider accumm */,
+                                                             false /**< has pad y */,
                                                            ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU,
                                                              1   /**< Multiplication factor for the width of the 1xW transposed block */,
                                                              1   /**< Multiplication factor for the height of the 4x4 interleaved block */,
@@ -965,6 +977,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
                                                              false /**< reinterpret the input as 3D */,
                                                              true  /**< Flag used to broadcast the bias addition */,
                                                              false /**< wider accumm */,
+                                                             false /**< has pad y */,
                                                            ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU,
                                                              1   /**< Multiplication factor for the width of the 1xW transposed block */,
                                                              1   /**< Multiplication factor for the height of the 4x4 interleaved block */,
@@ -979,6 +992,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
                                                              false /**< reinterpret the input as 3D */,
                                                              true  /**< Flag used to broadcast the bias addition */,
                                                              false /**< wider accumm */,
+                                                             false /**< has pad y */,
                                                            ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU,
                                                              1   /**< Multiplication factor for the width of the 1xW transposed block */,
                                                              1   /**< Multiplication factor for the height of the 4x4 interleaved block */,
@@ -992,6 +1006,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zi
                                                              false /**< reinterpret the input as 3D */,
                                                              true  /**< Flag used to broadcast the bias addition */,
                                                              false /**< wider accumm */,
+                                                             false /**< has pad y */,
                                                            ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU,
                                                              1   /**< Multiplication factor for the width of the 1xW transposed block */,
                                                              1   /**< Multiplication factor for the height of the 4x4 interleaved block */,
diff --git a/tests/validation/CL/GEMMMatrixMultiplyReshapedOnlyRHS.cpp b/tests/validation/CL/GEMMMatrixMultiplyReshapedOnlyRHS.cpp
index d792afac1d..33912ae2ba 100644
--- a/tests/validation/CL/GEMMMatrixMultiplyReshapedOnlyRHS.cpp
+++ b/tests/validation/CL/GEMMMatrixMultiplyReshapedOnlyRHS.cpp
@@ -92,13 +92,12 @@ const auto n_values = framework::dataset::make("N", 51);
 const auto k_values = framework::dataset::make("K", 23);
 
 /** Batch size values to test */
-const auto b_values = framework::dataset::make("batch_size", 1, 3);
+const auto b_values = framework::dataset::make("batch_size", 2);
 
 /** Activation values to test */
 const auto act_values = framework::dataset::make("Activation",
 {
-    ActivationLayerInfo(),
-    ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 8.f, 2.f),
+    ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, -0.8f, 10.f),
 });
 
 /** M0 values to test - precommit */
@@ -211,70 +210,6 @@ bool validate_configuration(unsigned int m_value, unsigned int n_value, unsigned
     CLGEMMMatrixMultiplyReshapedOnlyRHS gemm;
     return bool(gemm.validate(&lhs, &rhs_reshaped, &bias, &dst, alpha, beta, lhs_info, rhs_info, kernel_info));
 }
-
-/** Zero padding test */
-bool validate_zero_padding(unsigned int m_value, unsigned int n_value, unsigned int k_value, unsigned int b_value,
-                            unsigned int m0_value, unsigned int n0_value, unsigned int k0_value, unsigned int h0_value,
-                            bool i_value_rhs, bool t_value_rhs, bool export_to_cl_image, bool broadcast_bias, bool input_as_3d, unsigned int depth_output_gemm3d, const ActivationLayerInfo &act_info,
-                            DataType dt_input0, DataType dt_input1, DataType dt_input2, DataType dt_output, float alpha, float beta)
-{
-    const unsigned int M = m_value;
-    const unsigned int N = n_value;
-    const unsigned int K = k_value;
-
-    GEMMLHSMatrixInfo lhs_info;
-    lhs_info.m0         = m0_value;
-    lhs_info.k0         = k0_value;
-
-    GEMMRHSMatrixInfo rhs_info;
-    rhs_info.n0         = n0_value;
-    rhs_info.k0         = k0_value;
-    rhs_info.h0         = h0_value;
-    rhs_info.interleave = i_value_rhs;
-    rhs_info.transpose  = t_value_rhs;
-    rhs_info.export_to_cl_image = export_to_cl_image;
-
-    GEMMKernelInfo kernel_info;
-    kernel_info.m                       = M;
-    kernel_info.n                       = N;
-    kernel_info.k                       = K;
-    kernel_info.depth_output_gemm3d     = depth_output_gemm3d;
-    kernel_info.reinterpret_input_as_3d = input_as_3d;
-    kernel_info.broadcast_bias          = broadcast_bias;
-    kernel_info.activation_info         = act_info;
-
-    const TensorShape lhs_shape(K, M, b_value);
-    const TensorShape rhs_shape(N, K, b_value);
-    const TensorShape rhs_shape_reshaped = compute_rhs_reshaped_shape(TensorInfo(rhs_shape, 1, dt_input1),
-                                                                      rhs_info);
-
-    const TensorShape dst_shape = compute_mm_shape(TensorInfo(lhs_shape, 1, dt_input0),
-                                                   TensorInfo(rhs_shape_reshaped, 1, dt_input1),
-                                                   kernel_info);
-
-    const TensorShape bias_shape(N,
-                                 M, // Correct calculation should be: broadcast_bias? 1 : M, it's wrong here on purpose just for validation test
-                                 broadcast_bias? 1 : b_value);
-
-    // Create tensors
-    CLTensor lhs  = create_tensor<CLTensor>(lhs_shape, dt_input0);
-    CLTensor rhs_reshaped  = create_tensor<CLTensor>(rhs_shape_reshaped, dt_input1);
-    CLTensor bias = create_tensor<CLTensor>(bias_shape, dt_input2);
-    CLTensor dst  = create_tensor<CLTensor>(dst_shape, dt_output);
-
-    ARM_COMPUTE_EXPECT(lhs.info()->is_resizable(), framework::LogLevel::ERRORS);
-    ARM_COMPUTE_EXPECT(rhs_reshaped.info()->is_resizable(), framework::LogLevel::ERRORS);
-    ARM_COMPUTE_EXPECT(bias.info()->is_resizable(), framework::LogLevel::ERRORS);
-    ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
-
-    // Validate zero-padding
-    CLGEMMMatrixMultiplyReshapedOnlyRHS gemm;
-
-    gemm.configure(&lhs, &rhs_reshaped, &bias, &dst, alpha, beta, lhs_info, rhs_info, kernel_info);
-
-    // Padding can be added along rhs and bias's X dimension
-    return dst.info()->padding().empty() && lhs.info()->padding().empty() && bias.info()->padding().bottom == 0 && bias.info()->padding().top == 0;
-}
 } // namespace
 
 TEST_SUITE(CL)
@@ -326,33 +261,6 @@ b_value, m0_value, n0_value, k0_value, broadcast_bias, input_as_3d, depth_output
     ARM_COMPUTE_EXPECT(status == expected_value, framework::LogLevel::ERRORS);
 }
 
-/** Validate zero padding tests
- *
- * A series of validation tests to check that no padding is added as part of configuration for 4 different scenarios.
- *
- * Checks performed in order:
- *     - No partial blocks in both x and y dimensions
- *     - Partial blocks in x dimension
- *     - Partial blocks in y dimension
- *     - Partial blocks in both x and y dimensions
- *     - Special case: partial_n0 == 9 (vstore1 should be invoked instead of vstore_partial_1)
- */
-DATA_TEST_CASE(ValidateZeroPadding, framework::DatasetMode::ALL, zip(zip(zip(zip(
-framework::dataset::make("M",                   { 24, 64, 101,   1, 100 }),
-framework::dataset::make("N",                   { 48, 29,  16, 122,  41 })),
-framework::dataset::make("M0",                  {  4,  8,   7,   2,   1 })),
-framework::dataset::make("N0",                  {  4,  4,  16,   3,  16 })),
-framework::dataset::make("export_to_cl_image",  { false, true, true, false, false })),
-m_value, n_value, m0_value, n0_value, export_to_cl_image)
-{
-    constexpr DataType dt = DataType::F32;
-    // Disable export_to_cl_image if the target platform does not support the OpenCL cl_khr_image2d_from_buffer extension
-    bool actual_export_to_cl_image = image2d_from_buffer_supported(CLKernelLibrary::get().get_device()) && export_to_cl_image;
-
-    bool status = validate_zero_padding(m_value, n_value, 23, 1, m0_value, n0_value, 4, 1, false, false, actual_export_to_cl_image, false, 0, 0, ActivationLayerInfo(), dt, dt, dt, dt, 1.0f, 1.0f);
-    ARM_COMPUTE_EXPECT(status, framework::LogLevel::ERRORS);
-}
-
 TEST_SUITE(Float)
 TEST_SUITE(FP32)
 
@@ -443,7 +351,7 @@ FIXTURE_DATA_TEST_CASE(RunNightly, CLGEMMMatrixMultiplyReshapedOnlyRHSFixture<fl
 }
 
 FIXTURE_DATA_TEST_CASE(RunPrecommit3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixture<float>, framework::DatasetMode::PRECOMMIT,
-                combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+                combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
                                                                    m_w_values,
                                                                    m_h_values),
                                                                    n_values),
@@ -456,6 +364,7 @@ FIXTURE_DATA_TEST_CASE(RunPrecommit3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixt
                                                                    i_values_rhs),
                                                                    t_values_rhs),
                                                                    framework::dataset::make("export_to_cl_image_rhs", false)),
+                                                                   framework::dataset::make("has_pad_y", {false, true})),
                                                                    framework::dataset::make("DataType", DataType::F32)),
                                                                    a_values),
                                                                    beta_values),
@@ -466,7 +375,7 @@ FIXTURE_DATA_TEST_CASE(RunPrecommit3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixt
 }
 
 FIXTURE_DATA_TEST_CASE(RunNightly3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixture<float>, framework::DatasetMode::NIGHTLY,
-                combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+                combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
                                                                    m_w_values,
                                                                    m_h_values),
                                                                    n_values),
@@ -479,6 +388,7 @@ FIXTURE_DATA_TEST_CASE(RunNightly3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixtur
                                                                    i_values_rhs),
                                                                    t_values_rhs),
                                                                    framework::dataset::make("export_to_cl_image_rhs", false)),
+                                                                   framework::dataset::make("has_pad_y", {false, true})),
                                                                    framework::dataset::make("DataType", DataType::F32)),
                                                                    a_values),
                                                                    beta_values),
@@ -552,7 +462,7 @@ FIXTURE_DATA_TEST_CASE(RunNightly, CLGEMMMatrixMultiplyReshapedOnlyRHSFixture<fl
 }
 
 FIXTURE_DATA_TEST_CASE(RunPrecommit3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixture<float>, framework::DatasetMode::PRECOMMIT,
-                combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+                combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
                                                                    m_w_values,
                                                                    m_h_values),
                                                                    n_values),
@@ -565,6 +475,7 @@ FIXTURE_DATA_TEST_CASE(RunPrecommit3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixt
                                                                    i_values_rhs),
                                                                    t_values_rhs),
                                                                    framework::dataset::make("export_to_cl_image_rhs", true)),
+                                                                   framework::dataset::make("has_pad_y", {false, true})),
                                                                    framework::dataset::make("DataType", DataType::F32)),
                                                                    a_values),
                                                                    beta_values),
@@ -575,7 +486,7 @@ FIXTURE_DATA_TEST_CASE(RunPrecommit3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixt
 }
 
 FIXTURE_DATA_TEST_CASE(RunNightly3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixture<float>, framework::DatasetMode::NIGHTLY,
-                combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+                combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
                                                                    m_w_values,
                                                                    m_h_values),
                                                                    n_values),
@@ -588,6 +499,7 @@ FIXTURE_DATA_TEST_CASE(RunNightly3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixtur
                                                                    i_values_rhs),
                                                                    t_values_rhs),
                                                                    framework::dataset::make("export_to_cl_image_rhs", true)),
+                                                                   framework::dataset::make("has_pad_y", {false, true})),
                                                                    framework::dataset::make("DataType", DataType::F32)),
                                                                    a_values),
                                                                    beta_values),
@@ -647,7 +559,7 @@ FIXTURE_DATA_TEST_CASE(RunNightly, CLGEMMMatrixMultiplyReshapedOnlyRHSFixture<ha
 }
 
 FIXTURE_DATA_TEST_CASE(RunPrecommit3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixture<half>, framework::DatasetMode::PRECOMMIT,
-                combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+                combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
                                                                    m_w_values,
                                                                    m_h_values),
                                                                    n_values),
@@ -660,6 +572,7 @@ FIXTURE_DATA_TEST_CASE(RunPrecommit3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixt
                                                                    i_values_rhs),
                                                                    t_values_rhs),
                                                                    framework::dataset::make("export_to_cl_image_rhs", false)),
+                                                                   framework::dataset::make("has_pad_y", {false, true})),
                                                                    framework::dataset::make("DataType", DataType::F16)),
                                                                    a_values),
                                                                    beta_values),
@@ -670,7 +583,7 @@ FIXTURE_DATA_TEST_CASE(RunPrecommit3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixt
 }
 
 FIXTURE_DATA_TEST_CASE(RunNightly3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixture<half>, framework::DatasetMode::NIGHTLY,
-                combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+                combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
                                                                    m_w_values,
                                                                    m_h_values),
                                                                    n_values),
@@ -683,6 +596,7 @@ FIXTURE_DATA_TEST_CASE(RunNightly3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixtur
                                                                    i_values_rhs),
                                                                    t_values_rhs),
                                                                    framework::dataset::make("export_to_cl_image_rhs", false)),
+                                                                   framework::dataset::make("has_pad_y", {false, true})),
                                                                    framework::dataset::make("DataType", DataType::F16)),
                                                                    a_values),
                                                                    beta_values),
@@ -756,7 +670,7 @@ FIXTURE_DATA_TEST_CASE(RunNightly, CLGEMMMatrixMultiplyReshapedOnlyRHSFixture<ha
 }
 
 FIXTURE_DATA_TEST_CASE(RunPrecommit3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixture<half>, framework::DatasetMode::PRECOMMIT,
-                combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+                combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
                                                                    m_w_values,
                                                                    m_h_values),
                                                                    n_values),
@@ -769,6 +683,7 @@ FIXTURE_DATA_TEST_CASE(RunPrecommit3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixt
                                                                    i_values_rhs),
                                                                    t_values_rhs),
                                                                    framework::dataset::make("export_to_cl_image_rhs", true)),
+                                                                   framework::dataset::make("has_pad_y", {false, true})),
                                                                    framework::dataset::make("DataType", DataType::F16)),
                                                                    a_values),
                                                                    beta_values),
@@ -779,7 +694,7 @@ FIXTURE_DATA_TEST_CASE(RunPrecommit3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixt
 }
 
 FIXTURE_DATA_TEST_CASE(RunNightly3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixture<half>, framework::DatasetMode::NIGHTLY,
-                combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
+                combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(
                                                                    m_w_values,
                                                                    m_h_values),
                                                                    n_values),
@@ -792,6 +707,7 @@ FIXTURE_DATA_TEST_CASE(RunNightly3D, CLGEMMMatrixMultiplyReshapedOnlyRHS3DFixtur
                                                                    i_values_rhs),
                                                                    t_values_rhs),
                                                                    framework::dataset::make("export_to_cl_image_rhs", true)),
+                                                                   framework::dataset::make("has_pad_y", {false, true})),
                                                                    framework::dataset::make("DataType", DataType::F16)),
                                                                    a_values),
                                                                    beta_values),
diff --git a/tests/validation/fixtures/GEMMFixture.h b/tests/validation/fixtures/GEMMFixture.h
index 0a964a7114..6288b6b970 100644
--- a/tests/validation/fixtures/GEMMFixture.h
+++ b/tests/validation/fixtures/GEMMFixture.h
@@ -1125,7 +1125,7 @@ class GEMMMatrixMultiplyReshapedOnlyRHS3DValidationFixture : public framework::F
 public:
     template <typename...>
     void setup(unsigned int m_w, unsigned int m_h, unsigned int n, unsigned int k, unsigned int batch_size, unsigned int m0, unsigned int n0, unsigned int k0, unsigned int h0,
-               bool interleave_rhs, bool transpose_rhs, bool export_to_cl_image, DataType data_type, float alpha, float beta, const ActivationLayerInfo &act_info)
+               bool interleave_rhs, bool transpose_rhs, bool export_to_cl_image, bool has_pad_y, DataType data_type, float alpha, float beta, const ActivationLayerInfo &act_info)
     {
         GEMMLHSMatrixInfo lhs_info;
         lhs_info.m0 = m0;
@@ -1147,7 +1147,7 @@ public:
         const TensorShape rhs_shape(n, k, batch_size);
         const TensorShape bias_shape(n, 1, 1);
 
-        _target    = compute_target(lhs_shape, rhs_shape, bias_shape, lhs_info, rhs_info, data_type, alpha, beta, m_h, act_info);
+        _target    = compute_target(lhs_shape, rhs_shape, bias_shape, lhs_info, rhs_info, data_type, alpha, beta, m_h, act_info, has_pad_y);
         _reference = compute_reference(lhs_shape, rhs_shape, data_type, alpha, beta, m_h, act_info);
     }
 
@@ -1161,7 +1161,7 @@ protected:
 
     TensorType compute_target(const TensorShape &lhs_shape, const TensorShape &rhs_shape, const TensorShape &bias_shape, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info,
                               DataType data_type, float alpha, float beta,
-                              unsigned int m_h, const ActivationLayerInfo &act_info)
+                              unsigned int m_h, const ActivationLayerInfo &act_info, bool has_pad_y)
     {
         // Create tensors
         TensorType lhs  = create_tensor<TensorType>(lhs_shape, data_type, 1);
@@ -1181,15 +1181,22 @@ protected:
         kernel_info.reinterpret_input_as_3d = false;
         kernel_info.broadcast_bias          = true;
         kernel_info.activation_info         = act_info;
+        kernel_info.has_pad_y               = has_pad_y;
 
         // The output tensor will be auto-initialized within the function
-
         // Create and configure function
         ReshapeRHSFunctionType reshape_rhs;
         GEMMFunctionType       gemm;
         reshape_rhs.configure(&rhs, &rhs_reshaped, rhs_info);
         gemm.configure(&lhs, &rhs_reshaped, &bias, &dst, alpha, beta, lhs_info, rhs_info, kernel_info);
 
+        if(has_pad_y)
+        {
+            // Add dummy padding into lhs to validate has_pad_y path
+            lhs.info()->extend_padding(PaddingSize(2, 0, 2, 0));
+            dst.info()->extend_padding(PaddingSize(2, 0, 1, 0));
+        }
+
         ARM_COMPUTE_EXPECT(lhs.info()->is_resizable(), framework::LogLevel::ERRORS);
         ARM_COMPUTE_EXPECT(rhs.info()->is_resizable(), framework::LogLevel::ERRORS);
         ARM_COMPUTE_EXPECT(bias.info()->is_resizable(), framework::LogLevel::ERRORS);