COMPMID-415: Move DepthConcatenateLayer to new validation

Change-Id: I3e594d5800f563ba9af3195b7db2b6d3e32012dd
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/81340
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>

1 files changed, 0 insertions, 200 deletions

diff --git a/tests/validation/NEON/DepthConcatenateLayer.cpp b/tests/validation/NEON/DepthConcatenateLayer.cpp
deleted file mode 100644
index 528d6f80d7..0000000000
--- a/tests/validation/NEON/DepthConcatenateLayer.cpp
+++ /dev/null
@@ -1,200 +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 CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- */
-#include "AssetsLibrary.h"
-#include "Globals.h"
-#include "NEON/Accessor.h"
-#include "PaddingCalculator.h"
-#include "TypePrinter.h"
-#include "Utils.h"
-#include "validation/Datasets.h"
-#include "validation/Helpers.h"
-#include "validation/Reference.h"
-#include "validation/Validation.h"
-
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/runtime/NEON/functions/NEDepthConcatenate.h"
-#include "arm_compute/runtime/Tensor.h"
-#include "arm_compute/runtime/TensorAllocator.h"
-
-#include "support/ToolchainSupport.h"
-
-#include "boost_wrapper.h"
-
-#include <algorithm>
-#include <memory>
-#include <random>
-#include <string>
-#include <vector>
-
-using namespace arm_compute;
-using namespace arm_compute::test;
-using namespace arm_compute::test::validation;
-
-namespace
-{
-/** Compute NEON depth concatenate layer function.
- *
- * @param[in] shapes               List of shapes to concatenate
- * @param[in] dt                   Datatype of tensors
- * @param[in] fixed_point_position (Optional) Number of bits for the fractional part of fixed point numbers.
- *
- * @return Computed output tensor.
- */
-Tensor compute_depth_concatenate_layer(const std::vector<TensorShape> &shapes, DataType dt, int fixed_point_position = 0)
-{
-    std::vector<std::unique_ptr<Tensor>> srcs{};
-    TensorShape                          dst_shape = calculate_depth_concatenate_shape(shapes);
-
-    // Create tensors
-    for(unsigned int i = 0; i < shapes.size(); ++i)
-    {
-        srcs.push_back(support::cpp14::make_unique<Tensor>());
-        srcs[i]->allocator()->init(TensorInfo(shapes[i], 1, dt, fixed_point_position));
-    }
-    Tensor dst = create_tensor<Tensor>(dst_shape, dt, 1, fixed_point_position);
-
-    // Create a vector of raw pointer
-    std::vector<ITensor *> srcs_raw{};
-    srcs_raw.resize(srcs.size());
-    std::transform(srcs.begin(), srcs.end(), srcs_raw.begin(), [](std::unique_ptr<Tensor> const & t)
-    {
-        return t.get();
-    });
-
-    // Create and configure function
-    NEDepthConcatenate depth_concat;
-    depth_concat.configure(srcs_raw, &dst);
-
-    // Allocate tensors
-    for(auto &t : srcs)
-    {
-        t->allocator()->allocate();
-    }
-    dst.allocator()->allocate();
-
-    for(const auto &t : srcs)
-    {
-        BOOST_TEST(!t->info()->is_resizable());
-    }
-    BOOST_TEST(!dst.info()->is_resizable());
-
-    // Fill tensors
-    for(unsigned int i = 0; i < srcs.size(); ++i)
-    {
-        library->fill_tensor_uniform(Accessor(*srcs[i]), i);
-    }
-
-    // Compute function
-    depth_concat.run();
-
-    return dst;
-}
-} // namespace
-
-#ifndef DOXYGEN_SKIP_THIS
-BOOST_AUTO_TEST_SUITE(NEON)
-BOOST_AUTO_TEST_SUITE(DepthConcatenateLayer)
-
-BOOST_AUTO_TEST_SUITE(Float)
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * CNNFloatDataTypes(), shape, dt)
-{
-    // Create input shapes
-    std::vector<unsigned int> depths = { 4, 6, 11, 13 };
-    std::vector<TensorShape>  shapes(depths.size(), shape);
-    for(unsigned int i = 0; i < shapes.size(); ++i)
-    {
-        shapes[i].set(2, depths[i]);
-    }
-
-    // Compute function
-    Tensor dst = compute_depth_concatenate_layer(shapes, dt);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_depth_concatenate_layer(shapes, dt);
-
-    // Validate output
-    validate(Accessor(dst), ref_dst);
-}
-
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(RunSmallPad, CNNFloatDataTypes(), dt)
-{
-    // Create input shapes
-    std::vector<TensorShape> shapes{ TensorShape(12u, 12u, 14u, 8u), TensorShape(14u, 14u, 12u, 8u), TensorShape(16u, 16u, 11u, 8u) };
-
-    // Compute function
-    Tensor dst = compute_depth_concatenate_layer(shapes, dt);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_depth_concatenate_layer(shapes, dt);
-
-    // Validate output
-    validate(Accessor(dst), ref_dst);
-}
-BOOST_AUTO_TEST_SUITE_END()
-
-BOOST_AUTO_TEST_SUITE(Quantized)
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * CNNFixedPointDataTypes() * boost::unit_test::data::xrange(3, 6, 1), shape, dt, fixed_point_position)
-{
-    // Create input shapes
-    std::vector<unsigned int> depths = { 4, 6, 11, 13 };
-    std::vector<TensorShape>  shapes(depths.size(), shape);
-    for(unsigned int i = 0; i < shapes.size(); ++i)
-    {
-        shapes[i].set(2, depths[i]);
-    }
-
-    // Compute function
-    Tensor dst = compute_depth_concatenate_layer(shapes, dt, fixed_point_position);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_depth_concatenate_layer(shapes, dt, fixed_point_position);
-
-    // Validate output
-    validate(Accessor(dst), ref_dst);
-}
-
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(RunSmallPad, CNNFixedPointDataTypes() * boost::unit_test::data::xrange(3, 5, 1), dt, fixed_point_position)
-{
-    // Create input shapes
-    std::vector<TensorShape> shapes{ TensorShape(12u, 12u, 14u, 8u), TensorShape(14u, 14u, 12u, 8u), TensorShape(16u, 16u, 11u, 8u) };
-
-    // Compute function
-    Tensor dst = compute_depth_concatenate_layer(shapes, dt, fixed_point_position);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_depth_concatenate_layer(shapes, dt, fixed_point_position);
-
-    // Validate output
-    validate(Accessor(dst), ref_dst);
-}
-BOOST_AUTO_TEST_SUITE_END()
-
-BOOST_AUTO_TEST_SUITE_END()
-BOOST_AUTO_TEST_SUITE_END()
-#endif /* DOXYGEN_SKIP_THIS */