COMPMID-3324: Remove configuration tests

Remove configuation tests that use the default data shapes.
There is no need to run them since configure will run as part
of the actual validation run.

Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Change-Id: If6d88a6ba5e9463fa8c615fcf76a5c07d3049d53
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3638
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 4 insertions, 150 deletions

diff --git a/tests/validation/NEON/GEMMLowp.cpp b/tests/validation/NEON/GEMMLowp.cpp
index ca7d50fd40..368433201b 100644
--- a/tests/validation/NEON/GEMMLowp.cpp
+++ b/tests/validation/NEON/GEMMLowp.cpp
@@ -79,26 +79,6 @@ TEST_SUITE(GEMMLowp)
 TEST_SUITE(MatrixMultiplyCore)
 using NEGEMMLowpMatrixMultiplyCoreFixture = GEMMLowpMatrixMultiplyCoreValidationFixture<Tensor, Accessor, NEGEMMLowpMatrixMultiplyCore>;
 
-DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, framework::dataset::concat(datasets::SmallGEMMLowpDataset(), datasets::LargeGEMMLowpDataset()),
-               shape_a, shape_b, shape_c, a_offset, b_offset)
-{
-    // Create tensors
-    Tensor a = create_tensor<Tensor>(shape_a, DataType::QASYMM8);
-    Tensor b = create_tensor<Tensor>(shape_b, DataType::QASYMM8);
-    Tensor c = create_tensor<Tensor>(shape_c, DataType::S32);
-
-    a.info()->set_quantization_info(QuantizationInfo(1.0f / 255, a_offset));
-    b.info()->set_quantization_info(QuantizationInfo(1.0f / 255, b_offset));
-
-    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);
-
-    // Create and configure function
-    NEGEMMLowpMatrixMultiplyCore gemmlowp_mm;
-    gemmlowp_mm.configure(&a, &b, nullptr, &c);
-}
-
 // *INDENT-OFF*
 // clang-format off
 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
@@ -224,11 +204,10 @@ TEST_CASE(NoPaddingAdded, framework::DatasetMode::PRECOMMIT)
     Tensor output = create_tensor<Tensor>(TensorShape(21U, 13U), DataType::QASYMM8);
 
     GEMMLowpOutputStageInfo output_stage = GEMMLowpOutputStageInfo();
-    output_stage.type        = GEMMLowpOutputStageType::QUANTIZE_DOWN;
-    output_stage.gemmlowp_min_bound        = 0;
-    output_stage.gemmlowp_max_bound        = 205;
-    output_stage.output_data_type = DataType::QASYMM8;
-
+    output_stage.type                    = GEMMLowpOutputStageType::QUANTIZE_DOWN;
+    output_stage.gemmlowp_min_bound      = 0;
+    output_stage.gemmlowp_max_bound      = 205;
+    output_stage.output_data_type        = DataType::QASYMM8;
 
     NEGEMMLowpOutputStage f;
     f.configure(&input1, &input2, &output, output_stage);
@@ -239,7 +218,6 @@ TEST_CASE(NoPaddingAdded, framework::DatasetMode::PRECOMMIT)
     validate(output.info()->padding(), PaddingSize());
 }
 
-
 FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ScaleFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), quantize_down_int32_to_uint8_scale_cases))
 {
     // Validate output
@@ -378,48 +356,6 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(
 // clang-format on
 // *INDENT-ON*
 
-DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(),
-                                                                   quantize_down_int32_to_uint8_scale_by_fixedpoint_cases),
-               shape, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max, add_bias)
-{
-    TensorShape shape_bias(shape[0]);
-
-    // Create tensors
-    Tensor in   = create_tensor<Tensor>(shape, DataType::S32);
-    Tensor bias = create_tensor<Tensor>(shape_bias, DataType::S32);
-    Tensor out  = create_tensor<Tensor>(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
-    NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint output_stage;
-    output_stage.configure(&in, add_bias ? &bias : nullptr, &out, result_fixedpoint_multiplier, result_shift, result_offset_after_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(0);
-    validate(in.info()->padding(), padding);
-    validate(out.info()->padding(), padding);
-
-    if(add_bias)
-    {
-        validate(bias.info()->padding(), padding);
-    }
-}
-
 FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(),
                        quantize_down_int32_to_uint8_scale_by_fixedpoint_cases))
 {
@@ -502,47 +438,6 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(
 // clang-format on
 // *INDENT-ON*
 
-DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(),
-                                                                   quantize_down_int32_to_int8_scale_by_fixedpoint_cases),
-               shape, result_fixedpoint_multiplier, result_shift, result_offset_after_shift, min, max, add_bias)
-{
-    TensorShape shape_bias(shape[0]);
-
-    // Create tensors
-    Tensor in   = create_tensor<Tensor>(shape, DataType::S32);
-    Tensor bias = create_tensor<Tensor>(shape_bias, DataType::S32);
-    Tensor out  = create_tensor<Tensor>(shape, DataType::QASYMM8_SIGNED);
-
-    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
-    NEGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPoint output_stage;
-    output_stage.configure(&in, add_bias ? &bias : nullptr, &out, result_fixedpoint_multiplier, result_shift, result_offset_after_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(0);
-    validate(in.info()->padding(), padding);
-    validate(out.info()->padding(), padding);
-
-    if(add_bias)
-    {
-        validate(bias.info()->padding(), padding);
-    }
-}
 FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(),
                        quantize_down_int32_to_int8_scale_by_fixedpoint_cases))
 {
@@ -616,47 +511,6 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(
 // clang-format on
 // *INDENT-ON*
 
-DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallShapes(),
-                                                                   quantize_down_int32_to_int16_scale_by_fixedpoint_cases),
-               shape, result_fixedpoint_multiplier, result_shift, min, max, add_bias)
-{
-    TensorShape shape_bias(shape[0]);
-
-    // Create tensors
-    Tensor in   = create_tensor<Tensor>(shape, DataType::S32);
-    Tensor bias = create_tensor<Tensor>(shape_bias, DataType::S32);
-    Tensor out  = create_tensor<Tensor>(shape, DataType::QSYMM16);
-
-    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
-    NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPoint output_stage;
-    output_stage.configure(&in, add_bias ? &bias : nullptr, &out, result_fixedpoint_multiplier, 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(0);
-    validate(in.info()->padding(), padding);
-    validate(out.info()->padding(), padding);
-
-    if(add_bias)
-    {
-        validate(bias.info()->padding(), padding);
-    }
-}
 TEST_SUITE(NoRelu)
 TEST_SUITE(MultSmallerEq1)
 FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointFixture, framework::DatasetMode::ALL, combine(datasets::SmallShapes(),