COMPMID-2967 Add support for QASYMM8_SIGNED in CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel

Signed-off-by: Luca Foschiani <luca.foschiani@arm.com>
Change-Id: I4f7918630ea95fc28597b3d7b189f3d8fd35aef8
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2890
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 0 insertions, 79 deletions

diff --git a/tests/validation/CL/GEMMLowp.cpp b/tests/validation/CL/GEMMLowp.cpp
index 94621b4393..3d7c76aa2b 100644
--- a/tests/validation/CL/GEMMLowp.cpp
+++ b/tests/validation/CL/GEMMLowp.cpp
@@ -146,86 +146,7 @@ TEST_SUITE_END() // InputOutput3D
 TEST_SUITE_END() // MatrixMultiplyCore
 
 TEST_SUITE(OutputStage)
-TEST_SUITE(QuantizeDownInt32ToUint8Scale)
 
-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,
-                                                      3)
-                                                      * framework::dataset::make("min", 0) * framework::dataset::make("max", 255) * framework::dataset::make("addBias", { false, true });
-
-const auto quantize_down_int32_to_uint8_scale_relu_cases = framework::dataset::make("result_offset", -2, 1) * framework::dataset::make("result_mult_int", 1,
-                                                           2)
-                                                           * framework::dataset::make("result_shift", 2, 3) * framework::dataset::make("min", 0, 2) * framework::dataset::make("max", 171, 173) * framework::dataset::make("addBias", { false, true });
-
-using CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture = GEMMLowpQuantizeDownInt32ToUint8ScaleValidationFixture<CLTensor, CLAccessor, CLGEMMLowpQuantizeDownInt32ToUint8Scale>;
-
-DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_cases),
-               shape, result_offset, result_mult_int, result_shift, min, max, add_bias)
-{
-    TensorShape shape_bias(shape[0]);
-
-    // Create tensors
-    CLTensor in   = create_tensor<CLTensor>(shape, DataType::S32);
-    CLTensor bias = create_tensor<CLTensor>(shape_bias, DataType::S32);
-    CLTensor out  = create_tensor<CLTensor>(shape, DataType::QASYMM8);
-
-    ARM_COMPUTE_EXPECT(in.info()->is_resizable(), framework::LogLevel::ERRORS);
-    ARM_COMPUTE_EXPECT(bias.info()->is_resizable(), framework::LogLevel::ERRORS);
-    ARM_COMPUTE_EXPECT(out.info()->is_resizable(), framework::LogLevel::ERRORS);
-
-    // Create and configure function
-    CLGEMMLowpQuantizeDownInt32ToUint8Scale output_stage;
-    output_stage.configure(&in, add_bias ? &bias : nullptr, &out, result_offset, result_mult_int, result_shift, min, max);
-
-    // Validate valid region input and output
-    const ValidRegion valid_region = shape_to_valid_region(shape);
-    validate(in.info()->valid_region(), valid_region);
-    validate(out.info()->valid_region(), valid_region);
-
-    // Validate valid region bias
-    if(add_bias)
-    {
-        const ValidRegion valid_region_bias = shape_to_valid_region(shape_bias);
-        validate(bias.info()->valid_region(), valid_region_bias);
-    }
-
-    // Validate padding
-    const PaddingSize padding = PaddingCalculator(shape.x(), 4).required_padding();
-    validate(in.info()->padding(), padding);
-    validate(out.info()->padding(), padding);
-
-    if(add_bias)
-    {
-        validate(bias.info()->padding(), padding);
-    }
-}
-
-FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_cases))
-{
-    // Validate output
-    validate(CLAccessor(_target), _reference);
-}
-
-FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), quantize_down_int32_to_uint8_scale_cases))
-{
-    // Validate output
-    validate(CLAccessor(_target), _reference);
-}
-
-TEST_SUITE(BoundedReLu)
-FIXTURE_DATA_TEST_CASE(RunSmall, CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_relu_cases))
-{
-    // Validate output
-    validate(CLAccessor(_target), _reference);
-}
-
-FIXTURE_DATA_TEST_CASE(RunLarge, CLGEMMLowpQuantizeDownInt32ToUint8ScaleFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(),
-                       quantize_down_int32_to_uint8_scale_relu_cases))
-{
-    // Validate output
-    validate(CLAccessor(_target), _reference);
-}
-TEST_SUITE_END() // BoundedReLu
-TEST_SUITE_END() // QuantizeDownInt32ToUint8Scale
 TEST_SUITE(QuantizeDownInt32ToUint8ScaleByFixedPoint)
 const auto quantize_down_int32_to_uint8_scale_by_fixedpoint_cases = framework::dataset::make("result_fixedpoint_multiplier", 254601600, 254601602) * framework::dataset::make("result_shift", 1,
                                                                     2)