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, 1 insertions, 66 deletions

diff --git a/tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp b/tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp
index 0e5024f6d3..be0eee32e0 100644
--- a/tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp
+++ b/tests/validation/NEON/DepthwiseConvolutionLayerNative.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2019 Arm Limited.
+ * Copyright (c) 2019-2020 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -98,77 +98,12 @@ const auto data_type_values = framework::dataset::make("data_type", { DataType::
 
 /** Data layout values to test - All */
 const auto data_layout_values = framework::dataset::make("data_layout", { DataLayout::NHWC });
-
-/** Configuration test */
-void validate_configuration(size_t width_value, size_t height_value, size_t channel_value, size_t batch_value, Size2D kernel_sz_value, size_t depth_multiplier_value, Size2D dilation_value, Size2D stride_value, bool padding_valid_value, DataType data_type_value, DataLayout data_layout_value)
-{
-    TensorShape src_shape(width_value, height_value, channel_value, batch_value);
-    TensorShape weights_shape(kernel_sz_value.width, kernel_sz_value.height, channel_value * depth_multiplier_value);
-    TensorShape biases_shape(channel_value * depth_multiplier_value);
-
-    if(data_layout_value == DataLayout::NHWC)
-    {
-        permute(src_shape, PermutationVector(2U, 0U, 1U, 3U));
-        permute(weights_shape, PermutationVector(2U, 0U, 1U));
-    }
-
-    TensorInfo src_info(src_shape, 1, data_type_value);
-    TensorInfo weights_info(weights_shape, 1, data_type_value);
-    TensorInfo biases_info(biases_shape, 1, data_type_value);
-
-    src_info.set_data_layout(data_layout_value);
-    weights_info.set_data_layout(data_layout_value);
-    biases_info.set_data_layout(data_layout_value);
-
-    PadStrideInfo conv_info;
-    if(padding_valid_value)
-    {
-        conv_info = PadStrideInfo();
-    }
-    else
-    {
-        conv_info = calculate_same_pad(src_shape, weights_shape, PadStrideInfo(stride_value.width, stride_value.height), data_layout_value, dilation_value);
-    }
-
-    const TensorShape dst_shape = compute_depthwise_convolution_shape(src_info, weights_info, conv_info, depth_multiplier_value, dilation_value);
-
-    // Create tensors
-    Tensor src      = create_tensor<Tensor>(src_shape, data_type_value, 1, QuantizationInfo(), data_layout_value);
-    Tensor weights  = create_tensor<Tensor>(weights_shape, data_type_value, 1, QuantizationInfo(), data_layout_value);
-    Tensor biases   = create_tensor<Tensor>(biases_shape, data_type_value, 1, QuantizationInfo(), data_layout_value);
-    Tensor dst      = create_tensor<Tensor>(dst_shape, data_type_value, 1, QuantizationInfo(), data_layout_value);
-
-    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
-    ARM_COMPUTE_EXPECT(weights.info()->is_resizable(), framework::LogLevel::ERRORS);
-    ARM_COMPUTE_EXPECT(biases.info()->is_resizable(), framework::LogLevel::ERRORS);
-    ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
-
-    // Create and configure function
-    NEDepthwiseConvolutionLayerNative dwc;
-    dwc.configure(&src, &weights, &biases, &dst, conv_info, depth_multiplier_value, dilation_value);
-}
 } // namespace
 
 TEST_SUITE(NEON)
 TEST_SUITE(DepthwiseConvolutionLayerNative)
 TEST_SUITE(Float)
 TEST_SUITE(FP32)
-DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(width_values_precommit,
-                                                                                                                                           height_values_precommit),
-                                                                                                                                           channel_values_precommit),
-                                                                                                                                           batch_values_precommit),
-                                                                                                                                           kernel_sz_values_precommit),
-                                                                                                                                           depth_multiplier_values),
-                                                                                                                                           dilation_values),
-                                                                                                                                           stride_values),
-                                                                                                                                           padding_valid_values),
-                                                                                                                                           data_type_values),
-                                                                                                                                           data_layout_values),
-width_value, height_value, channel_value, batch_value, kernel_sz_value, depth_multiplier_value, dilation_value, stride_value, padding_valid_value, data_type_value, data_layout_value)
-{
-    validate_configuration(width_value, height_value, channel_value, batch_value, kernel_sz_value, depth_multiplier_value, dilation_value, stride_value, padding_valid_value, data_type_value, data_layout_value);
-}
-
 FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerNativeFixture<float>, framework::DatasetMode::ALL,
                 combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(width_values_precommit,
                                                                                                 height_values_precommit),