COMPMID-692 Consistent names for the interfaces

Change-Id: I4b1f3f0da9ff5342c7de7083736fe91871d14e5b
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/110351
Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 0 insertions, 126 deletions

diff --git a/tests/validation/NEON/DepthwiseConvolution.cpp b/tests/validation/NEON/DepthwiseConvolution.cpp
deleted file mode 100644
index 3a4b7aa2e9..0000000000
--- a/tests/validation/NEON/DepthwiseConvolution.cpp
+++ /dev/null
@@ -1,126 +0,0 @@
-/*
- * Copyright (c) 2017 ARM Limited.
- *
- * SPDX-License-Identifier: MIT
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to
- * deal in the Software without restriction, including without limitation the
- * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
- * sell copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONCLCTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- */
-#include "arm_compute/core/Types.h"
-#include "arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h"
-#include "arm_compute/runtime/Tensor.h"
-#include "arm_compute/runtime/TensorAllocator.h"
-#include "tests/NEON/Accessor.h"
-#include "tests/PaddingCalculator.h"
-#include "tests/datasets/DepthwiseConvolutionDataset.h"
-#include "tests/framework/Asserts.h"
-#include "tests/framework/Macros.h"
-#include "tests/framework/datasets/Datasets.h"
-#include "tests/validation/Validation.h"
-#include "tests/validation/fixtures/DepthwiseConvolutionFixture.h"
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-namespace
-{
-constexpr RelativeTolerance<float> tolerance_f32(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
-} // namespace
-
-TEST_SUITE(NEON)
-TEST_SUITE(DepthwiseConvolutionLayer)
-
-DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionDataset3x3(), datasets::LargeDepthwiseConvolutionDataset3x3()),
-                                                                   framework::dataset::make("DataType", DataType::F32)),
-               input_shape, weights_shape, bias_shape, output_shape, info, data_type)
-{
-    // Create tensors
-    Tensor src     = create_tensor<Tensor>(input_shape, data_type);
-    Tensor dst     = create_tensor<Tensor>(output_shape, data_type);
-    Tensor weights = create_tensor<Tensor>(weights_shape, data_type);
-    Tensor bias    = create_tensor<Tensor>(bias_shape, data_type);
-
-    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
-    ARM_COMPUTE_EXPECT(dst.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);
-
-    // Create and configure function
-    NEDepthwiseConvolution3x3 depthwise_layer;
-    depthwise_layer.configure(&src, &weights, &bias, &dst, info);
-
-    // Validate valid region
-    const ValidRegion input_valid_region   = shape_to_valid_region(input_shape);
-    const ValidRegion output_valid_region  = shape_to_valid_region(output_shape);
-    const ValidRegion weights_valid_region = shape_to_valid_region(weights_shape);
-    const ValidRegion bias_valid_region    = shape_to_valid_region(bias_shape);
-
-    validate(src.info()->valid_region(), input_valid_region);
-    validate(dst.info()->valid_region(), output_valid_region);
-    validate(weights.info()->valid_region(), weights_valid_region);
-    validate(bias.info()->valid_region(), bias_valid_region);
-
-    // Validate padding
-    const int         step    = 16 >> info.stride().first;
-    const PaddingSize padding = PaddingCalculator(output_shape.x(), step).required_padding();
-    validate(dst.info()->padding(), padding);
-}
-
-TEST_SUITE(Float)
-TEST_SUITE(F32)
-TEST_SUITE(Generic)
-template <typename T>
-using NEDepthwiseConvolutionFixture = DepthwiseConvolutionValidationFixture<Tensor, Accessor, NEDepthwiseConvolution, T>;
-FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallDepthwiseConvolutionDataset(), framework::dataset::make("DataType",
-                                                                                                                  DataType::F32)))
-{
-    validate(Accessor(_target), _reference, tolerance_f32);
-}
-FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeDepthwiseConvolutionDataset(), framework::dataset::make("DataType",
-                                                                                                                DataType::F32)))
-{
-    validate(Accessor(_target), _reference, tolerance_f32);
-}
-TEST_SUITE_END()
-
-TEST_SUITE(W3x3)
-template <typename T>
-using NEDepthwiseConvolutionFixture3x3 = DepthwiseConvolutionValidationFixture<Tensor, Accessor, NEDepthwiseConvolution3x3, T>;
-FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionFixture3x3<float>, framework::DatasetMode::ALL, combine(datasets::SmallDepthwiseConvolutionDataset3x3(), framework::dataset::make("DataType",
-                                                                                                               DataType::F32)))
-{
-    validate(Accessor(_target), _reference, tolerance_f32);
-}
-FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionFixture3x3<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeDepthwiseConvolutionDataset3x3(), framework::dataset::make("DataType",
-                                                                                                                   DataType::F32)))
-{
-    validate(Accessor(_target), _reference, tolerance_f32);
-}
-TEST_SUITE_END()
-
-TEST_SUITE_END()
-TEST_SUITE_END()
-
-TEST_SUITE_END()
-TEST_SUITE_END()
-} // namespace validation
-} // namespace test
-} // namespace arm_compute