COMPMID-3128: Test improvement for GEMMConvolutionLayer on CL and NEON(Function-level)

Cleaning up GEMMConvolutionLayer tests by doing the following:

- Remove unnecessary configuration tests
- Remove redundant tests
  > Redundant shapes
  > For large shapes there are already tests for each internal kernel/function
- Test NHWC 1x1 kernel 1x1 stride to stress _skip_im2col
- Stimulate gemm3d to skip col2im
- Test asymmetric padding
- Test batch size equal to one and different than one
- Test fully connected convolution
- Test with a few different padding values
- Test 1D kernel
- Test with FLOOR rounding policy

Change-Id: I88e7009b8e9c991994ed264476c16a79a0de4a68
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3150
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Sang-Hoon Park <sang-hoon.park@arm.com>

1 files changed, 1 insertions, 45 deletions

diff --git a/tests/validation/GLES_COMPUTE/ConvolutionLayer.cpp b/tests/validation/GLES_COMPUTE/ConvolutionLayer.cpp
index 364eb6e6d2..2813d29e72 100644
--- a/tests/validation/GLES_COMPUTE/ConvolutionLayer.cpp
+++ b/tests/validation/GLES_COMPUTE/ConvolutionLayer.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2019 ARM Limited.
+ * Copyright (c) 2017-2020 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -65,50 +65,6 @@ const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo
 TEST_SUITE(GC)
 TEST_SUITE(ConvolutionLayer)
 
-DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallConvolutionLayerReducedDataset(),
-                                                                           CNNDataTypes),
-                                                                   ActivationFunctionsDataset),
-               input_shape, weights_shape, bias_shape, output_shape, info, dilation, data_type, act_info)
-{
-    auto bias_data_type = is_data_type_quantized_asymmetric(data_type) ? DataType::S32 : data_type;
-
-    // Create tensors
-    GCTensor src     = create_tensor<GCTensor>(input_shape, data_type, 1, QuantizationInfo(2.f / 255.f, 127));
-    GCTensor weights = create_tensor<GCTensor>(weights_shape, data_type, 1, QuantizationInfo(2.f / 255.f, 127));
-    GCTensor bias    = create_tensor<GCTensor>(bias_shape, bias_data_type, 1, QuantizationInfo(2.f / 255.f, 127));
-    GCTensor dst     = create_tensor<GCTensor>(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
-    GCConvolutionLayer conv;
-    conv.configure(&src, &weights, &bias, &dst, info, WeightsInfo(), dilation, act_info);
-
-    // 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 GCConvolutionLayerFixture = ConvolutionValidationFixture<GCTensor, GCAccessor, GCConvolutionLayer, T>;