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>

16 files changed, 641 insertions, 525 deletions

diff --git a/tests/datasets_new/ShapeDatasets.h b/tests/datasets_new/ShapeDatasets.h
index 690e401757..ba142cae0c 100644
--- a/tests/datasets_new/ShapeDatasets.h
+++ b/tests/datasets_new/ShapeDatasets.h
@@ -55,8 +55,9 @@ public:
     Small2DShapes()
         : ShapeDataset("Shape",
     {
-        TensorShape{ 5U, 5U },
-                     TensorShape{ 640U, 480U }
+        TensorShape{ 7U, 7U },
+                     TensorShape{ 27U, 13U },
+                     TensorShape{ 128U, 64U }
     })
     {
     }
@@ -100,6 +101,7 @@ public:
         : ShapeDataset("Shape",
     {
         TensorShape{ 1920U, 1080U },
+                     TensorShape{ 1245U, 652U },
                      TensorShape{ 4160U, 3120U }
     })
     {
diff --git a/tests/validation/CL/DepthConcatenateLayer.cpp b/tests/validation/CL/DepthConcatenateLayer.cpp
deleted file mode 100644
index 8e254d2bd8..0000000000
--- a/tests/validation/CL/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 "CL/CLAccessor.h"
-#include "Globals.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/CL/CLScheduler.h"
-#include "arm_compute/runtime/CL/CLTensor.h"
-#include "arm_compute/runtime/CL/CLTensorAllocator.h"
-#include "arm_compute/runtime/CL/functions/CLDepthConcatenate.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 OpenCL 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.
- */
-CLTensor compute_depth_concatenate_layer(const std::vector<TensorShape> &shapes, DataType dt, int fixed_point_position = 0)
-{
-    std::vector<std::unique_ptr<CLTensor>> 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<CLTensor>());
-        srcs[i]->allocator()->init(TensorInfo(shapes[i], 1, dt, fixed_point_position));
-    }
-    CLTensor dst = create_tensor<CLTensor>(dst_shape, dt, 1, fixed_point_position);
-
-    // Create a vector of raw pointer
-    std::vector<ICLTensor *> srcs_raw{};
-    srcs_raw.resize(srcs.size());
-    std::transform(srcs.begin(), srcs.end(), srcs_raw.begin(), [](std::unique_ptr<CLTensor> const & t)
-    {
-        return t.get();
-    });
-
-    // Create and configure function
-    CLDepthConcatenate 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(CLAccessor(*srcs[i]), i);
-    }
-
-    // Compute function
-    depth_concat.run();
-    return dst;
-}
-} // namespace
-
-#ifndef DOXYGEN_SKIP_THIS
-BOOST_AUTO_TEST_SUITE(CL)
-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
-    CLTensor dst = compute_depth_concatenate_layer(shapes, dt);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_depth_concatenate_layer(shapes, dt);
-
-    // Validate output
-    validate(CLAccessor(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
-    CLTensor dst = compute_depth_concatenate_layer(shapes, dt);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_depth_concatenate_layer(shapes, dt);
-
-    // Validate output
-    validate(CLAccessor(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
-    CLTensor 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(CLAccessor(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
-    CLTensor 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(CLAccessor(dst), ref_dst);
-}
-BOOST_AUTO_TEST_SUITE_END()
-
-BOOST_AUTO_TEST_SUITE_END()
-BOOST_AUTO_TEST_SUITE_END()
-#endif /* DOXYGEN_SKIP_THIS */
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 */
diff --git a/tests/validation/Reference.cpp b/tests/validation/Reference.cpp
index 011fd091f2..145f308c50 100644
--- a/tests/validation/Reference.cpp
+++ b/tests/validation/Reference.cpp
@@ -557,30 +557,6 @@ RawTensor Reference::compute_reference_convolution_layer(const TensorShape &inpu
     return ref_dst;
 }
 
-RawTensor Reference::compute_reference_depth_concatenate_layer(const std::vector<TensorShape> &shapes, DataType dt, int fixed_point_position)
-{
-    std::vector<std::unique_ptr<RawTensor>> ref_srcs{};
-    TensorShape                             dst_shape = calculate_depth_concatenate_shape(shapes);
-
-    // Create tensors
-    for(const auto &shape : shapes)
-    {
-        ref_srcs.push_back(support::cpp14::make_unique<RawTensor>(shape, dt, 1, fixed_point_position));
-    }
-    RawTensor ref_dst(dst_shape, dt, 1, fixed_point_position);
-
-    // Fill references
-    for(unsigned int i = 0; i < ref_srcs.size(); ++i)
-    {
-        library->fill_tensor_uniform(*ref_srcs[i], i);
-    }
-
-    // Compute reference
-    ReferenceCPP::depth_concatenate_layer(ref_srcs, ref_dst);
-
-    return ref_dst;
-}
-
 RawTensor Reference::compute_reference_fully_connected_layer(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape,
                                                              DataType dt, bool transpose_weights, int fixed_point_position)
 {
diff --git a/tests/validation/Reference.h b/tests/validation/Reference.h
index 42c62f8d6a..8c22545cb1 100644
--- a/tests/validation/Reference.h
+++ b/tests/validation/Reference.h
@@ -320,15 +320,6 @@ public:
      */
     static RawTensor compute_reference_convolution_layer(const TensorShape &input_shape, const TensorShape &weights_shape, const TensorShape &bias_shape, const TensorShape &output_shape, DataType dt,
                                                          const PadStrideInfo &conv_info, int fixed_point_position);
-    /** Compute reference depth concatenation layer
-     *
-     * @param[in] shapes               Input tensor shapes (All dimensions should match apart from DimZ)
-     * @param[in] dt                   Data type to use
-     * @param[in] fixed_point_position (Optional) Number of bits for the fractional part of the fixed point numbers
-     *
-     * @return Computed raw tensor.
-     */
-    static RawTensor compute_reference_depth_concatenate_layer(const std::vector<TensorShape> &shapes, DataType dt, int fixed_point_position = 0);
     /** Compute reference for fully connected layer function
      *
      * @param[in] input_shape          Shape for the input tensor
diff --git a/tests/validation/ReferenceCPP.cpp b/tests/validation/ReferenceCPP.cpp
index 117fd5bebb..5f3fa1fcbc 100644
--- a/tests/validation/ReferenceCPP.cpp
+++ b/tests/validation/ReferenceCPP.cpp
@@ -306,19 +306,6 @@ void ReferenceCPP::convolution_layer(const RawTensor &src, const RawTensor &weig
     boost::apply_visitor(tensor_visitors::convolution_layer_visitor(s, w, b, conv_info), d);
 }
 
-// Depth concatenate layer
-void ReferenceCPP::depth_concatenate_layer(const std::vector<std::unique_ptr<RawTensor>> &srcs, RawTensor &dst)
-{
-    std::vector<TensorVariant> ss;
-    ss.resize(srcs.size());
-    std::transform(srcs.begin(), srcs.end(), ss.begin(), [](std::unique_ptr<RawTensor> const & t)
-    {
-        return TensorFactory::get_tensor(*t);
-    });
-    TensorVariant d = TensorFactory::get_tensor(dst);
-    boost::apply_visitor(tensor_visitors::depth_concatenate_layer_visitor(ss), d);
-}
-
 // Fully connected layer
 void ReferenceCPP::fully_connected_layer(const RawTensor &src, const RawTensor &weights, const RawTensor &bias, RawTensor &dst)
 {
diff --git a/tests/validation/ReferenceCPP.h b/tests/validation/ReferenceCPP.h
index 0d1bea48bd..ab77d783b6 100644
--- a/tests/validation/ReferenceCPP.h
+++ b/tests/validation/ReferenceCPP.h
@@ -275,12 +275,6 @@ public:
      * @param[in]  conv_info Pads and strides information for the convolution layer.
      */
     static void convolution_layer(const RawTensor &src, const RawTensor &weights, const RawTensor &bias, RawTensor &dst, const PadStrideInfo &conv_info);
-    /** Depth concatenate layer from @p srcs to @p dst
-     *
-     * @param[in]  srcs Input tensors.
-     * @param[out] dst  Result tensor.
-     */
-    static void depth_concatenate_layer(const std::vector<std::unique_ptr<RawTensor>> &srcs, RawTensor &dst);
     /** Fully connected layer function
      *
      * @param[in]  src     Input tensor
diff --git a/tests/validation/TensorOperations.h b/tests/validation/TensorOperations.h
index db145c19ad..84aa965a9f 100644
--- a/tests/validation/TensorOperations.h
+++ b/tests/validation/TensorOperations.h
@@ -999,53 +999,6 @@ void batch_normalization_layer(const Tensor<T> &in, Tensor<T> &out, const Tensor
     }
 }
 
-// Depth Concatenate layer
-template <typename T>
-void depth_concatenate_layer(const std::vector<const Tensor<T> *> &srcs, Tensor<T> &out)
-{
-    unsigned  depth_offset = 0;
-    const int width_out    = out.shape().x();
-    const int height_out   = out.shape().y();
-    const int depth_out    = out.shape().z();
-    const int out_stride_z = width_out * height_out;
-    const int batches      = out.shape().total_size_upper(3);
-
-    // Set output tensor to 0
-    memset(out.data(), 0, out.num_elements() * element_size_from_data_type(out.data_type()));
-
-    for(unsigned int i = 0; i < srcs.size(); ++i)
-    {
-        ARM_COMPUTE_ERROR_ON(srcs[i] == nullptr);
-        ARM_COMPUTE_ERROR_ON(srcs[i]->data_type() != out.data_type());
-        ARM_COMPUTE_ERROR_ON(depth_offset >= out.shape().z());
-        ARM_COMPUTE_ERROR_ON(batches != static_cast<int>(srcs[i]->shape().total_size_upper(3)));
-
-        const Tensor<T>   *src    = srcs[i];
-        const int          width  = src->shape().x();
-        const int          height = src->shape().y();
-        const int          depth  = src->shape().z();
-        const unsigned int x_diff = (width_out - width) / 2;
-        const unsigned int y_diff = (height_out - height) / 2;
-
-        const T *src_ptr = src->data();
-        for(int b = 0; b < batches; ++b)
-        {
-            const unsigned int offset_to_first_element = b * out_stride_z * depth_out + depth_offset * out_stride_z
-                                                         + y_diff * width_out + x_diff;
-            for(int d = 0; d < depth; ++d)
-            {
-                for(int r = 0; r < height; ++r)
-                {
-                    std::copy(src_ptr, src_ptr + width, out.data() + offset_to_first_element + d * out_stride_z + r * width_out);
-                    src_ptr += width;
-                }
-            }
-        }
-
-        depth_offset += depth;
-    }
-}
-
 // Convolution layer
 template <typename T>
 void convolution_layer(const Tensor<T> &in, const Tensor<T> &weights, const Tensor<T> &bias, Tensor<T> &out, const PadStrideInfo &conv_info)
diff --git a/tests/validation/TensorVisitors.h b/tests/validation/TensorVisitors.h
index 365aac7758..d72b437344 100644
--- a/tests/validation/TensorVisitors.h
+++ b/tests/validation/TensorVisitors.h
@@ -278,30 +278,6 @@ private:
     const TensorVariant &_bias;
     PadStrideInfo        _conv_info;
 };
-// Depth Concatenate Layer visitor
-struct depth_concatenate_layer_visitor : public boost::static_visitor<>
-{
-public:
-    explicit depth_concatenate_layer_visitor(const std::vector<TensorVariant> &srcs)
-        : _srcs(srcs)
-    {
-    }
-
-    template <typename T>
-    void operator()(Tensor<T> &out) const
-    {
-        std::vector<const Tensor<T> *> srcs;
-        srcs.resize(_srcs.size());
-        std::transform(_srcs.begin(), _srcs.end(), srcs.begin(), [](const TensorVariant & t)
-        {
-            return &(boost::get<Tensor<T>>(t));
-        });
-        tensor_operations::depth_concatenate_layer(srcs, out);
-    }
-
-private:
-    const std::vector<TensorVariant> &_srcs;
-};
 // Fully Connected Layer visitor
 struct fully_connected_layer_visitor : public boost::static_visitor<>
 {
diff --git a/tests/validation_new/CL/DepthConcatenateLayer.cpp b/tests/validation_new/CL/DepthConcatenateLayer.cpp
new file mode 100644
index 0000000000..ff64e2340b
--- /dev/null
+++ b/tests/validation_new/CL/DepthConcatenateLayer.cpp
@@ -0,0 +1,123 @@
+/*
+ * 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 "arm_compute/core/Types.h"
+#include "arm_compute/runtime/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/CLTensorAllocator.h"
+#include "arm_compute/runtime/CL/functions/CLDepthConcatenate.h"
+#include "framework/Asserts.h"
+#include "framework/Macros.h"
+#include "framework/datasets/Datasets.h"
+#include "tests/CL/CLAccessor.h"
+#include "tests/datasets_new/ShapeDatasets.h"
+#include "tests/validation_new/Validation.h"
+#include "tests/validation_new/fixtures/DepthConcatenateLayerFixture.h"
+#include "tests/validation_new/half.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+TEST_SUITE(CL)
+TEST_SUITE(DepthConcatenateLayer)
+
+//TODO(COMPMID-415): Add configuration test?
+
+template <typename T>
+using CLDepthConcatenateLayerFixture = DepthConcatenateValidationFixture<CLTensor, CLAccessor, CLDepthConcatenate, T>;
+
+TEST_SUITE(Float)
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConcatenateLayerFixture<half_float::half>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
+                       DataType::F16)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConcatenateLayerFixture<half_float::half>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
+                       DataType::F16)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END()
+
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConcatenateLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
+                                                                                                                   DataType::F32)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConcatenateLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
+                                                                                                                 DataType::F32)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END()
+TEST_SUITE_END()
+
+TEST_SUITE(Quantized)
+TEST_SUITE(QS8)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConcatenateLayerFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(),
+                                                                                                                    framework::dataset::make("DataType",
+                                                                                                                            DataType::QS8)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConcatenateLayerFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(),
+                                                                                                                  framework::dataset::make("DataType",
+                                                                                                                          DataType::QS8)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END()
+
+TEST_SUITE(QS16)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthConcatenateLayerFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(),
+                                                                                                                     framework::dataset::make("DataType",
+                                                                                                                             DataType::QS16)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthConcatenateLayerFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(),
+                                                                                                                   framework::dataset::make("DataType",
+                                                                                                                           DataType::QS16)))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END()
+TEST_SUITE_END()
+
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation_new/CPP/DepthConcatenateLayer.cpp b/tests/validation_new/CPP/DepthConcatenateLayer.cpp
new file mode 100644
index 0000000000..c54c6c8568
--- /dev/null
+++ b/tests/validation_new/CPP/DepthConcatenateLayer.cpp
@@ -0,0 +1,104 @@
+/*
+ * 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 "DepthConcatenateLayer.h"
+
+#include "tests/validation_new/FixedPoint.h"
+#include "tests/validation_new/Helpers.h"
+#include "tests/validation_new/half.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> depthconcatenate_layer(const std::vector<SimpleTensor<T>> &srcs)
+{
+    // Create reference
+    std::vector<TensorShape> shapes;
+
+    for(const auto &src : srcs)
+    {
+        shapes.emplace_back(src.shape());
+    }
+
+    DataType        dst_type  = srcs.empty() ? DataType::UNKNOWN : srcs[0].data_type();
+    TensorShape     dst_shape = calculate_depth_concatenate_shape(shapes);
+    SimpleTensor<T> dst(dst_shape, dst_type);
+
+    // Compute reference
+    int       depth_offset = 0;
+    const int width_out    = dst.shape().x();
+    const int height_out   = dst.shape().y();
+    const int depth_out    = dst.shape().z();
+    const int out_stride_z = width_out * height_out;
+    const int batches      = dst.shape().total_size_upper(3);
+
+    // Set output tensor to 0
+    std::fill_n(dst.data(), dst.num_elements(), 0);
+
+    for(const auto &src : srcs)
+    {
+        ARM_COMPUTE_ERROR_ON(depth_offset >= depth_out);
+        ARM_COMPUTE_ERROR_ON(batches != static_cast<int>(src.shape().total_size_upper(3)));
+
+        const int width  = src.shape().x();
+        const int height = src.shape().y();
+        const int depth  = src.shape().z();
+        const int x_diff = (width_out - width) / 2;
+        const int y_diff = (height_out - height) / 2;
+
+        const T *src_ptr = src.data();
+
+        for(int b = 0; b < batches; ++b)
+        {
+            const size_t offset_to_first_element = b * out_stride_z * depth_out + depth_offset * out_stride_z + y_diff * width_out + x_diff;
+
+            for(int d = 0; d < depth; ++d)
+            {
+                for(int r = 0; r < height; ++r)
+                {
+                    std::copy(src_ptr, src_ptr + width, dst.data() + offset_to_first_element + d * out_stride_z + r * width_out);
+                    src_ptr += width;
+                }
+            }
+        }
+
+        depth_offset += depth;
+    }
+
+    return dst;
+}
+
+template SimpleTensor<float> depthconcatenate_layer(const std::vector<SimpleTensor<float>> &srcs);
+template SimpleTensor<half_float::half> depthconcatenate_layer(const std::vector<SimpleTensor<half_float::half>> &srcs);
+template SimpleTensor<qint8_t> depthconcatenate_layer(const std::vector<SimpleTensor<qint8_t>> &srcs);
+template SimpleTensor<qint16_t> depthconcatenate_layer(const std::vector<SimpleTensor<qint16_t>> &srcs);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation_new/CPP/DepthConcatenateLayer.h b/tests/validation_new/CPP/DepthConcatenateLayer.h
new file mode 100644
index 0000000000..e7467d8ad0
--- /dev/null
+++ b/tests/validation_new/CPP/DepthConcatenateLayer.h
@@ -0,0 +1,43 @@
+/*
+ * 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.
+ */
+#ifndef __ARM_COMPUTE_TEST_DEPTHCONCATENATE_LAYER_H__
+#define __ARM_COMPUTE_TEST_DEPTHCONCATENATE_LAYER_H__
+
+#include "tests/validation_new/SimpleTensor.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> depthconcatenate_layer(const std::vector<SimpleTensor<T>> &srcs);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_DEPTHCONCATENATE_LAYER_H__ */
diff --git a/tests/validation_new/Helpers.cpp b/tests/validation_new/Helpers.cpp
new file mode 100644
index 0000000000..c65966b06f
--- /dev/null
+++ b/tests/validation_new/Helpers.cpp
@@ -0,0 +1,57 @@
+/*
+ * 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 "tests/validation_new/Helpers.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+TensorShape calculate_depth_concatenate_shape(const std::vector<TensorShape> &input_shapes)
+{
+    ARM_COMPUTE_ERROR_ON(input_shapes.empty());
+
+    TensorShape out_shape = input_shapes[0];
+
+    size_t max_x = 0;
+    size_t max_y = 0;
+    size_t depth = 0;
+
+    for(const auto &shape : input_shapes)
+    {
+        max_x = std::max(shape.x(), max_x);
+        max_y = std::max(shape.y(), max_y);
+        depth += shape.z();
+    }
+
+    out_shape.set(0, max_x);
+    out_shape.set(1, max_y);
+    out_shape.set(2, depth);
+
+    return out_shape;
+}
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation_new/Helpers.h b/tests/validation_new/Helpers.h
index 3058b8eaee..30959161bb 100644
--- a/tests/validation_new/Helpers.h
+++ b/tests/validation_new/Helpers.h
@@ -128,6 +128,14 @@ std::pair<T, T> get_activation_layer_test_bounds(ActivationLayerInfo::Activation
 
     return bounds;
 }
+
+/** Calculate output tensor shape give a vector of input tensor to concatenate
+ *
+ * @param[in] input_shapes Shapes of the tensors to concatenate across depth.
+ *
+ * @return The shape of output concatenated tensor.
+ */
+TensorShape calculate_depth_concatenate_shape(const std::vector<TensorShape> &input_shapes);
 } // namespace validation
 } // namespace test
 } // namespace arm_compute
diff --git a/tests/validation_new/NEON/DepthConcatenateLayer.cpp b/tests/validation_new/NEON/DepthConcatenateLayer.cpp
new file mode 100644
index 0000000000..d6400d2df5
--- /dev/null
+++ b/tests/validation_new/NEON/DepthConcatenateLayer.cpp
@@ -0,0 +1,125 @@
+/*
+ * 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 "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 "framework/Asserts.h"
+#include "framework/Macros.h"
+#include "framework/datasets/Datasets.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/datasets_new/ShapeDatasets.h"
+#include "tests/validation_new/Validation.h"
+#include "tests/validation_new/fixtures/DepthConcatenateLayerFixture.h"
+#include "tests/validation_new/half.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+TEST_SUITE(NEON)
+TEST_SUITE(DepthConcatenateLayer)
+
+//TODO(COMPMID-415): Add configuration test?
+
+template <typename T>
+using NEDepthConcatenateLayerFixture = DepthConcatenateValidationFixture<Tensor, Accessor, NEDepthConcatenate, T>;
+
+TEST_SUITE(Float)
+#ifdef ARM_COMPUTE_ENABLE_FP16
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConcatenateLayerFixture<half_float::half>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
+                       DataType::F16)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConcatenateLayerFixture<half_float::half>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
+                       DataType::F16)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+TEST_SUITE_END()
+#endif /* ARM_COMPUTE_ENABLE_FP16 */
+
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConcatenateLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
+                                                                                                                   DataType::F32)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConcatenateLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
+                                                                                                                 DataType::F32)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+TEST_SUITE_END()
+TEST_SUITE_END()
+
+TEST_SUITE(Quantized)
+TEST_SUITE(QS8)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConcatenateLayerFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(),
+                                                                                                                    framework::dataset::make("DataType",
+                                                                                                                            DataType::QS8)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConcatenateLayerFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(),
+                                                                                                                  framework::dataset::make("DataType",
+                                                                                                                          DataType::QS8)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+TEST_SUITE_END()
+
+TEST_SUITE(QS16)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthConcatenateLayerFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(),
+                                                                                                                     framework::dataset::make("DataType",
+                                                                                                                             DataType::QS16)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthConcatenateLayerFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(),
+                                                                                                                   framework::dataset::make("DataType",
+                                                                                                                           DataType::QS16)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+TEST_SUITE_END()
+TEST_SUITE_END()
+
+TEST_SUITE_END()
+TEST_SUITE_END()
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation_new/fixtures/DepthConcatenateLayerFixture.h b/tests/validation_new/fixtures/DepthConcatenateLayerFixture.h
new file mode 100644
index 0000000000..601758f80e
--- /dev/null
+++ b/tests/validation_new/fixtures/DepthConcatenateLayerFixture.h
@@ -0,0 +1,177 @@
+/*
+ * 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.
+ */
+#ifndef ARM_COMPUTE_TEST_DEPTHCONCATENATE_LAYER_FIXTURE
+#define ARM_COMPUTE_TEST_DEPTHCONCATENATE_LAYER_FIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "framework/Asserts.h"
+#include "framework/Fixture.h"
+#include "tests/AssetsLibrary.h"
+#include "tests/Globals.h"
+#include "tests/IAccessor.h"
+#include "tests/validation_new/CPP/DepthConcatenateLayer.h"
+#include "tests/validation_new/Helpers.h"
+
+#include <random>
+
+namespace arm_compute
+{
+class ITensor;
+class Tensor;
+class ICLTensor;
+class CLTensor;
+
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class DepthConcatenateValidationFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, DataType data_type)
+    {
+        // Create input shapes
+        std::mt19937                    gen(library->seed());
+        std::uniform_int_distribution<> num_dis(2, 6);
+        const int                       num_tensors = num_dis(gen);
+
+        std::vector<TensorShape>         shapes(num_tensors, shape);
+        std::uniform_int_distribution<>  depth_dis(1, 7);
+        std::bernoulli_distribution      mutate_dis(0.25f);
+        std::uniform_real_distribution<> change_dis(-0.25f, 0.f);
+
+        // Generate more shapes based on the input
+        for(auto &s : shapes)
+        {
+            // Set the depth of the tensor
+            s.set(2, depth_dis(gen));
+
+            // Randomly change the first dimension
+            if(mutate_dis(gen))
+            {
+                // Decrease the dimension by a small percentage. Don't increase
+                // as that could make tensor too large. Also the change must be
+                // an even number. Otherwise out depth concatenate fails.
+                s.set(0, s[0] + 2 * static_cast<int>(s[0] * change_dis(gen)));
+            }
+
+            // Repeat the same as above for the second dimension
+            if(mutate_dis(gen))
+            {
+                s.set(1, s[1] + 2 * static_cast<int>(s[1] * change_dis(gen)));
+            }
+        }
+
+        _target    = compute_target(shapes, data_type);
+        _reference = compute_reference(shapes, data_type);
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor, int i)
+    {
+        library->fill_tensor_uniform(tensor, i);
+    }
+
+    TensorType compute_target(std::vector<TensorShape> shapes, DataType data_type)
+    {
+        using ITensorType = typename std::conditional<std::is_same<TensorType, Tensor>::value, ITensor, ICLTensor>::type;
+
+        std::vector<TensorType>    srcs;
+        std::vector<ITensorType *> src_ptrs;
+
+        // Create tensors
+        srcs.reserve(shapes.size());
+
+        for(const auto &shape : shapes)
+        {
+            srcs.emplace_back(create_tensor<TensorType>(shape, data_type, 1, _fractional_bits));
+            src_ptrs.emplace_back(&srcs.back());
+        }
+
+        TensorShape dst_shape = calculate_depth_concatenate_shape(shapes);
+        TensorType  dst       = create_tensor<TensorType>(dst_shape, data_type, 1, _fractional_bits);
+
+        // Create and configure function
+        FunctionType depth_concat;
+        depth_concat.configure(src_ptrs, &dst);
+
+        for(auto &src : srcs)
+        {
+            ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        }
+
+        ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Allocate tensors
+        for(auto &src : srcs)
+        {
+            src.allocator()->allocate();
+            ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        }
+
+        dst.allocator()->allocate();
+        ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Fill tensors
+        int i = 0;
+        for(auto &src : srcs)
+        {
+            fill(AccessorType(src), i++);
+        }
+
+        // Compute function
+        depth_concat.run();
+
+        return dst;
+    }
+
+    SimpleTensor<T> compute_reference(std::vector<TensorShape> shapes, DataType data_type)
+    {
+        std::vector<SimpleTensor<T>> srcs;
+
+        // Create and fill tensors
+        int i = 0;
+        for(const auto &shape : shapes)
+        {
+            srcs.emplace_back(shape, data_type, 1, _fractional_bits);
+            fill(srcs.back(), i++);
+        }
+
+        return reference::depthconcatenate_layer<T>(srcs);
+    }
+
+    TensorType      _target{};
+    SimpleTensor<T> _reference{};
+
+private:
+    int _fractional_bits{ 1 };
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_DEPTHCONCATENATE_LAYER_FIXTURE */