COMPMID-3724: Remove OpenCL padding: CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel

COMPMID-3725: Remove OpenCL padding: CLGEMMLowpQuantizeDownInt32ScaleKernel

Change-Id: Idea5974a56861efae3bc255f1224c7f1e88f3650
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4182
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 17 insertions, 3 deletions

diff --git a/tests/validation/CL/GEMMLowp.cpp b/tests/validation/CL/GEMMLowp.cpp
index 8d5ac24de8..00f831b2e2 100644
--- a/tests/validation/CL/GEMMLowp.cpp
+++ b/tests/validation/CL/GEMMLowp.cpp
@@ -48,7 +48,7 @@ namespace
 {
 constexpr AbsoluteTolerance<float> tolerance_quant(1); /**< Tolerance value for comparing reference's output against implementation's output for quantized data types */
 
-bool validate_output_stage_zero_padding(const TensorShape shape, const DataType dt)
+bool validate_output_stage_zero_padding(const TensorShape shape, const DataType dt, const GEMMLowpOutputStageType type)
 {
     // Create tensors
     CLTensor src  = create_tensor<CLTensor>(shape, DataType::S32, 1);
@@ -56,7 +56,7 @@ bool validate_output_stage_zero_padding(const TensorShape shape, const DataType
     CLTensor dst  = create_tensor<CLTensor>(shape, dt, 1);
 
     GEMMLowpOutputStageInfo info;
-    info.type             = GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT;
+    info.type             = type;
     info.output_data_type = dt;
     std::tie(info.gemmlowp_min_bound, info.gemmlowp_max_bound) = quantization::get_min_max_values_from_quantized_data_type(dt);
 
@@ -147,6 +147,13 @@ TEST_SUITE(OutputStage)
 
 TEST_SUITE(QuantizeDownInt32Scale)
 
+DATA_TEST_CASE(ValidateZeroPadding, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::QASYMM8, DataType::QASYMM8_SIGNED })),
+               shape, data_type)
+{
+    bool status = validate_output_stage_zero_padding(shape, data_type, GEMMLowpOutputStageType::QUANTIZE_DOWN);
+    ARM_COMPUTE_EXPECT(status, framework::LogLevel::ERRORS);
+}
+
 TEST_SUITE(QASYMM8)
 
 const auto quantize_down_int32_to_uint8_scale_cases = framework::dataset::make("result_offset", -2, 1) * framework::dataset::make("result_mult_int", 1, 2) * framework::dataset::make("result_shift", 2,
@@ -208,7 +215,7 @@ TEST_SUITE(QuantizeDownInt32ScaleByFixedPoint)
 DATA_TEST_CASE(ValidateZeroPadding, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::QSYMM16 })),
                shape, data_type)
 {
-    bool status = validate_output_stage_zero_padding(shape, data_type);
+    bool status = validate_output_stage_zero_padding(shape, data_type, GEMMLowpOutputStageType::QUANTIZE_DOWN_FIXEDPOINT);
     ARM_COMPUTE_EXPECT(status, framework::LogLevel::ERRORS);
 }
 
@@ -346,6 +353,13 @@ TEST_SUITE_END() // QuantizeDownInt32ScaleByFixedPoint
 
 TEST_SUITE(QuantizeDownInt32ScaleByFloat)
 
+DATA_TEST_CASE(ValidateZeroPadding, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::QASYMM8, DataType::QASYMM8_SIGNED })),
+               shape, data_type)
+{
+    bool status = validate_output_stage_zero_padding(shape, data_type, GEMMLowpOutputStageType::QUANTIZE_DOWN_FLOAT);
+    ARM_COMPUTE_EXPECT(status, framework::LogLevel::ERRORS);
+}
+
 TEST_SUITE(QASYMM8)
 using CLGEMMLowpQuantizeDownInt32ScaleByFloatFixture =
     GEMMLowpQuantizeDownInt32ScaleByFloatValidationFixture<CLTensor, CLAccessor, CLGEMMLowpOutputStage, uint8_t>;