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>
diff --git a/tests/validation/CL/DilatedConvolutionLayer.cpp b/tests/validation/CL/DilatedConvolutionLayer.cpp
index 20ba113..9a9df2c 100644
--- a/tests/validation/CL/DilatedConvolutionLayer.cpp
+++ b/tests/validation/CL/DilatedConvolutionLayer.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018-2019 Arm Limited.
+ * Copyright (c) 2018-2020 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -113,49 +113,6 @@
 
 TEST_SUITE(GEMMDilatedConvolutionLayer)
 
-DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::SmallDilatedConvolutionLayerDataset(),
-                                                                   CNNDataTypes),
-               input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type)
-{
-    auto bias_data_type = is_data_type_quantized_asymmetric(data_type) ? DataType::S32 : data_type;
-
-    // Create tensors
-    CLTensor src     = create_tensor<CLTensor>(input_shape, data_type, 1, QuantizationInfo(2.f / 255.f, 127));
-    CLTensor weights = create_tensor<CLTensor>(weights_shape, data_type, 1, QuantizationInfo(2.f / 255.f, 127));
-    CLTensor bias    = create_tensor<CLTensor>(bias_shape, bias_data_type, 1, QuantizationInfo(2.f / 255.f, 127));
-    CLTensor dst     = create_tensor<CLTensor>(output_shape, data_type, 1, QuantizationInfo(2.f / 255.f, 127));
-
-    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
-    ARM_COMPUTE_EXPECT(weights.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);
-
-    const QuantizationInfo src_quantization_info     = src.info()->quantization_info();
-    const QuantizationInfo weights_quantization_info = weights.info()->quantization_info();
-
-    // Create and configure function
-    CLGEMMConvolutionLayer conv;
-    conv.configure(&src, &weights, &bias, &dst, info, WeightsInfo(), dilation);
-
-    // Validate valid region
-    const ValidRegion src_valid_region     = shape_to_valid_region(input_shape);
-    const ValidRegion weights_valid_region = shape_to_valid_region(weights_shape);
-    const ValidRegion bias_valid_region    = shape_to_valid_region(bias_shape);
-    const ValidRegion dst_valid_region     = shape_to_valid_region(output_shape);
-
-    validate(src.info()->valid_region(), src_valid_region);
-    validate(weights.info()->valid_region(), weights_valid_region);
-    validate(bias.info()->valid_region(), bias_valid_region);
-    validate(dst.info()->valid_region(), dst_valid_region);
-
-    // Validate QuantizationInfo
-    ARM_COMPUTE_EXPECT(src.info()->quantization_info() == src_quantization_info, framework::LogLevel::ERRORS);
-    ARM_COMPUTE_EXPECT(weights.info()->quantization_info() == weights_quantization_info, framework::LogLevel::ERRORS);
-
-    // Validate padding
-    //TODO(COMPMID-415) Need to validate padding?
-}
-
 template <typename T>
 using CLGEMMDilatedConvolutionLayerFixture = ConvolutionValidationFixture<CLTensor, CLAccessor, CLGEMMConvolutionLayer, T>;