Remove functionality to add padding in Y dimension in validation tests

Signed-off-by: Anitha Raj <anitha.raj@arm.com>
Change-Id: I5b9e04f9057777bb080c40fa1f55dfee4bd866dc
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10138
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

3 files changed, 0 insertions, 34 deletions

diff --git a/tests/validation/Helpers.cpp b/tests/validation/Helpers.cpp
index 110325c5a0..2c2d364c51 100644
--- a/tests/validation/Helpers.cpp
+++ b/tests/validation/Helpers.cpp
@@ -350,29 +350,6 @@ void add_padding_x(std::initializer_list<ITensor *> tensors, const DataLayout &d
     }
 }
 
-void add_padding_y(std::initializer_list<ITensor *> tensors, const DataLayout &data_layout)
-{
-    if(data_layout == DataLayout::NHWC)
-    {
-        constexpr unsigned int lower = 1U;
-        constexpr unsigned int upper = 4U;
-
-        std::uniform_int_distribution<unsigned int> distribution(lower, upper);
-        size_t                                      seed_offset = 0;
-
-        for(ITensor *tensor : tensors)
-        {
-            ARM_COMPUTE_ERROR_ON(!tensor->info()->is_resizable());
-
-            std::mt19937 gen(library->seed() + seed_offset++);
-
-            const unsigned int top    = distribution(gen);
-            const unsigned int bottom = distribution(gen);
-
-            tensor->info()->extend_padding(PaddingSize(top, 0U, bottom, 0U));
-        }
-    }
-}
 
 QuantizationInfo calculate_mat_mul_dst_q_info(const QuantizationInfo &a_q_info, const QuantizationInfo &b_q_info, int m, int n, int k, DataType data_type)
 {
diff --git a/tests/validation/Helpers.h b/tests/validation/Helpers.h
index df3b08ba53..3f91d55db1 100644
--- a/tests/validation/Helpers.h
+++ b/tests/validation/Helpers.h
@@ -243,16 +243,6 @@ std::pair<int, int> get_symm_quantized_per_channel_bounds(const QuantizationInfo
  */
 void add_padding_x(std::initializer_list<ITensor *> tensors, const DataLayout &data_layout = DataLayout::NHWC, bool only_right_pad = false);
 
-/** Add random padding along the Y axis (between 1 and 4 rows per side) to all the input tensors.
- *  This is used in our validation suite in order to simulate implicit padding addition after configuring, but before allocating.
- *
- * @param[in] tensors     List of tensors to add padding to
- * @param[in] data_layout (Optional) Data layout of the operator
- *
- * @note This function adds padding to the input tensors only if data_layout == DataLayout::NHWC
- */
-void add_padding_y(std::initializer_list<ITensor *> tensors, const DataLayout &data_layout = DataLayout::NHWC);
-
 /** For MatMulLowp, given the Lhs/Rhs matrix quantization informations and the matrix multiplication dimensions,
  *  calculate a suitable output quantization for obtaining non-saturated outputs with high probability.
  */
diff --git a/tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h b/tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h
index 5a00c7c2d6..d291a7736a 100644
--- a/tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h
+++ b/tests/validation/fixtures/DepthwiseConvolutionLayerFixture.h
@@ -342,7 +342,6 @@ public:
 
         add_padding_x({ &_src, &_biases, &_target }, _data_layout);
         add_padding_x({ &_weights }, _data_layout, true);
-        add_padding_y({ &_src, &_target }, _data_layout);
 
         // Create Depthwise Convolution configure function
         const ConvolutionInfo info