COMPMID-1588 Create UpsampleKernel for YOLOLayer

Change-Id: Ic1f9e85306a0a0b1459c9f9aa35bd629deea1710
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/148797
Tested-by: bsgcomp <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>

13 files changed, 935 insertions, 0 deletions

diff --git a/arm_compute/core/CL/CLKernels.h b/arm_compute/core/CL/CLKernels.h
index 88658013fa..f39d7b71f6 100644
--- a/arm_compute/core/CL/CLKernels.h
+++ b/arm_compute/core/CL/CLKernels.h
@@ -118,6 +118,7 @@
 #include "arm_compute/core/CL/kernels/CLTableLookupKernel.h"
 #include "arm_compute/core/CL/kernels/CLThresholdKernel.h"
 #include "arm_compute/core/CL/kernels/CLTransposeKernel.h"
+#include "arm_compute/core/CL/kernels/CLUpsampleLayerKernel.h"
 #include "arm_compute/core/CL/kernels/CLWarpAffineKernel.h"
 #include "arm_compute/core/CL/kernels/CLWarpPerspectiveKernel.h"
 #include "arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h"
diff --git a/arm_compute/core/CL/kernels/CLUpsampleLayerKernel.h b/arm_compute/core/CL/kernels/CLUpsampleLayerKernel.h
new file mode 100644
index 0000000000..dcd4f1bdb4
--- /dev/null
+++ b/arm_compute/core/CL/kernels/CLUpsampleLayerKernel.h
@@ -0,0 +1,79 @@
+/*
+ * Copyright (c) 2018 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_CLUPSAMPLELAYERKERNEL_H__
+#define __ARM_COMPUTE_CLUPSAMPLELAYERKERNEL_H__
+
+#include "arm_compute/core/CL/ICLKernel.h"
+
+namespace arm_compute
+{
+class ICLTensor;
+
+/** Interface for the UpsampleLayer kernel on OpenCL. */
+class CLUpsampleLayerKernel : public ICLKernel
+{
+public:
+    /** Constructor */
+    CLUpsampleLayerKernel();
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    CLUpsampleLayerKernel(const CLUpsampleLayerKernel &) = delete;
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    CLUpsampleLayerKernel &operator=(const CLUpsampleLayerKernel &) = delete;
+    /** Default Move Constructor. */
+    CLUpsampleLayerKernel(CLUpsampleLayerKernel &&) = default;
+    /** Default move assignment operator */
+    CLUpsampleLayerKernel &operator=(CLUpsampleLayerKernel &&) = default;
+    /** Default destructor */
+    ~CLUpsampleLayerKernel() = default;
+
+    /** Initialise the kernel's input and output.
+     *
+     * @param[in]  input             Source tensor. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
+     * @param[out] output            Destination tensor. Data types supported: same as @p input.
+     * @param[in]  info              Contains stride information described in @ref Size2D.
+     * @param[in]  upsampling_policy Defines the policy to fill the intermediate pixels.
+     */
+    void configure(const ICLTensor *input, ICLTensor *output, const Size2D &info, const InterpolationPolicy upsampling_policy);
+    /** Static function to check if given info will lead to a valid configuration of @ref CLUpsampleLayerKernel
+     *
+     * @param[in] input             Source tensor info. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
+     * @param[in] output            Destination tensor info. Data types supported: same as @p input.
+     * @param[in] info              Contains  stride information described in @ref Size2D.
+     * @param[in] upsampling_policy Defines the policy to fill the intermediate pixels.
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &info, const InterpolationPolicy upsampling_policy);
+
+    // Inherited methods overridden:
+    void run(const Window &window, cl::CommandQueue &queue) override;
+
+private:
+    const ICLTensor *_input;
+    ICLTensor       *_output;
+    Size2D           _info;
+    unsigned int     _num_elems_processed_per_iteration_input_x;
+};
+} // namespace arm_compute
+#endif /*__ARM_COMPUTE_CLUPSAMPLELAYERKERNEL_H__ */
diff --git a/arm_compute/core/utils/misc/ShapeCalculator.h b/arm_compute/core/utils/misc/ShapeCalculator.h
index 6d8e15b8b2..1fdf5b8ff5 100644
--- a/arm_compute/core/utils/misc/ShapeCalculator.h
+++ b/arm_compute/core/utils/misc/ShapeCalculator.h
@@ -597,6 +597,21 @@ inline TensorShape compute_padded_shape(const TensorShape &input_shape, const Pa
     return padded_shape;
 }
 
+inline TensorShape compute_upsample_shape(const ITensorInfo &input, const Size2D &info)
+{
+    const DataLayout data_layout = input.data_layout();
+    const int        idx_width   = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
+    const int        idx_height  = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
+
+    TensorShape        scale_out_shape(input.tensor_shape());
+    const unsigned int out_x = input.dimension(idx_width) * info.x();
+    const unsigned int out_y = input.dimension(idx_height) * info.y();
+    scale_out_shape.set(idx_width, out_x);
+    scale_out_shape.set(idx_height, out_y);
+
+    return scale_out_shape;
+}
+
 template <typename T>
 inline TensorShape extract_shape(T *data)
 {
diff --git a/arm_compute/runtime/CL/CLFunctions.h b/arm_compute/runtime/CL/CLFunctions.h
index 4619aa5602..8dadcc1e87 100644
--- a/arm_compute/runtime/CL/CLFunctions.h
+++ b/arm_compute/runtime/CL/CLFunctions.h
@@ -120,6 +120,7 @@
 #include "arm_compute/runtime/CL/functions/CLTableLookup.h"
 #include "arm_compute/runtime/CL/functions/CLThreshold.h"
 #include "arm_compute/runtime/CL/functions/CLTranspose.h"
+#include "arm_compute/runtime/CL/functions/CLUpsampleLayer.h"
 #include "arm_compute/runtime/CL/functions/CLWarpAffine.h"
 #include "arm_compute/runtime/CL/functions/CLWarpPerspective.h"
 #include "arm_compute/runtime/CL/functions/CLWidthConcatenateLayer.h"
diff --git a/arm_compute/runtime/CL/functions/CLUpsampleLayer.h b/arm_compute/runtime/CL/functions/CLUpsampleLayer.h
new file mode 100644
index 0000000000..df504fb01a
--- /dev/null
+++ b/arm_compute/runtime/CL/functions/CLUpsampleLayer.h
@@ -0,0 +1,83 @@
+/*
+ * Copyright (c) 2018 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_CLUPSAMPLELAYER_H__
+#define __ARM_COMPUTE_CLUPSAMPLELAYER_H__
+
+#include "arm_compute/runtime/IFunction.h"
+
+#include "arm_compute/core/CL/kernels/CLUpsampleLayerKernel.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/IFunction.h"
+
+namespace arm_compute
+{
+class ICLTensor;
+
+/** Basic function to run @ref CLUpsampleLayerKernel */
+class CLUpsampleLayer : public IFunction
+{
+public:
+    /** Default constructor */
+    CLUpsampleLayer();
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    CLUpsampleLayer(const CLUpsampleLayer &) = delete;
+    /** Prevent instances of this class from being copied (As this class contains pointers) */
+    CLUpsampleLayer &operator=(const CLUpsampleLayer &) = delete;
+    /** Allow instances of this class to be moved */
+    CLUpsampleLayer(CLUpsampleLayer &&) = default;
+    /** Allow instances of this class to be moved */
+    CLUpsampleLayer &operator=(CLUpsampleLayer &&) = default;
+    /** Default destructor */
+    virtual ~CLUpsampleLayer() = default;
+
+    /** Initialize the function's source, destination, interpolation type and border_mode.
+     *
+     * @param[in]  input             Source tensor. Data type supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
+     * @param[out] output            Destination tensor. Data types supported: same as @p input.
+     * @param[in]  info              Contains stride information described in @ref Size2D.
+     * @param[in]  upsampling_policy Defines the policy to fill the intermediate pixels.
+     */
+    void configure(ICLTensor *input, ICLTensor *output,
+                   const Size2D &info, const InterpolationPolicy upsampling_policy);
+    /** Static function to check if given info will lead to a valid configuration of @ref CLDeconvolutionLayerUpsample
+     *
+     * @param[in] input             Source tensor info. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
+     * @param[in] output            Destination tensor info. Data types supported: same as @p input.
+     * @param[in] info              Contains  stride information described in @ref Size2D.
+     * @param[in] upsampling_policy Defines the policy to fill the intermediate pixels.
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *input, const ITensorInfo *output,
+                           const Size2D &info, const InterpolationPolicy upsampling_policy);
+
+    // Inherited methods overridden:
+    void run() override;
+
+private:
+    CLUpsampleLayerKernel _upsample;
+    ICLTensor            *_output;
+};
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_CLUPSAMPLELAYER_H__ */
diff --git a/src/core/CL/CLKernelLibrary.cpp b/src/core/CL/CLKernelLibrary.cpp
index 391a0bb6d5..7e8ef6b22d 100644
--- a/src/core/CL/CLKernelLibrary.cpp
+++ b/src/core/CL/CLKernelLibrary.cpp
@@ -391,6 +391,8 @@ const std::map<std::string, std::string> CLKernelLibrary::_kernel_program_map =
     { "UYVY422_to_NV12_bt709", "color_convert.cl" },
     { "UYVY422_to_RGB888_bt709", "color_convert.cl" },
     { "UYVY422_to_RGBA8888_bt709", "color_convert.cl" },
+    { "upsample_layer_nchw", "upsample_layer.cl" },
+    { "upsample_layer_nhwc", "upsample_layer.cl" },
     { "warp_affine_nearest_neighbour", "warp_affine.cl" },
     { "warp_affine_bilinear", "warp_affine.cl" },
     { "warp_perspective_nearest_neighbour", "warp_perspective.cl" },
@@ -547,6 +549,10 @@ const std::map<std::string, std::string> CLKernelLibrary::_program_source_map =
 #include "./cl_kernels/copy_tensor.clembed"
     },
     {
+        "upsample_layer.cl",
+#include "./cl_kernels/upsample_layer.clembed"
+    },
+    {
         "deconvolution_layer.cl",
 #include "./cl_kernels/deconvolution_layer.clembed"
     },
diff --git a/src/core/CL/cl_kernels/upsample_layer.cl b/src/core/CL/cl_kernels/upsample_layer.cl
new file mode 100644
index 0000000000..65912f585f
--- /dev/null
+++ b/src/core/CL/cl_kernels/upsample_layer.cl
@@ -0,0 +1,135 @@
+/*
+ * Copyright (c) 2018 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 "helpers.h"
+
+/** This function applies upsample on an input image. (NCHW)
+ *
+ * @attention The following variables must be passed at compile time:
+ * -# -DDATA_TYPE = Tensor data type. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * -# -DVEC_SIZE_IN = Input vector size
+ * -# -DVEC_SIZE_OUT = Output vector size
+ * -# -DLAST_ACCESSED_X_IN = The input element that is on the X border (threads trying to set this, might need to step back a bit)
+ * -# -DLAST_ACCESSED_X_OUT = The output element that is on the X border (threads trying to set this, might need to step back a bit)
+ *
+ * @param[in]  src_ptr                           Pointer to the source image. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in]  src_stride_x                      Stride of the source image in X dimension (in bytes)
+ * @param[in]  src_step_x                        src_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in]  src_stride_y                      Stride of the source image in Y dimension (in bytes)
+ * @param[in]  src_step_y                        src_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in]  src_stride_z                      Stride of the source tensor in Z dimension (in bytes)
+ * @param[in]  src_step_z                        src_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in]  src_offset_first_element_in_bytes The offset of the first element in the source image
+ * @param[out] dst_ptr                           Pointer to the destination image. Supported data types: same as @p src_ptr
+ * @param[in]  dst_stride_x                      Stride of the destination image in X dimension (in bytes)
+ * @param[in]  dst_step_x                        dst_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in]  dst_stride_y                      Stride of the destination image in Y dimension (in bytes)
+ * @param[in]  dst_step_y                        dst_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in]  dst_stride_z                      Stride of the source tensor in Z dimension (in bytes)
+ * @param[in]  dst_step_z                        dst_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in]  dst_offset_first_element_in_bytes The offset of the first element in the destination image
+ */
+__kernel void upsample_layer_nchw(
+    TENSOR3D_DECLARATION(src),
+    TENSOR3D_DECLARATION(dst))
+{
+    Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src);
+    Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst);
+
+#if defined(VEC_SIZE_IN) && defined(VEC_SIZE_OUT) && defined(LAST_ACCESSED_X_IN) && defined(LAST_ACCESSED_X_OUT)
+    // Check if access on width gets out of bounds
+    // If it does shift access vector to access elements within bounds
+    const int xi_in  = (int)(get_global_id(0) * VEC_SIZE_IN);
+    const int xi_out = (int)(get_global_id(0) * VEC_SIZE_OUT);
+    src.ptr -= max(xi_in - (int)LAST_ACCESSED_X_IN, 0) * src_stride_x;
+    dst.ptr -= max(xi_out - (int)LAST_ACCESSED_X_OUT, 0) * dst_stride_x;
+
+    VEC_DATA_TYPE(DATA_TYPE, 8)
+    data = vload8(0, (__global DATA_TYPE *)src.ptr);
+
+    VEC_DATA_TYPE(DATA_TYPE, 16)
+    data_out = (VEC_DATA_TYPE(DATA_TYPE, 16))(data.s0, data.s0, data.s1, data.s1, data.s2, data.s2, data.s3, data.s3, data.s4, data.s4, data.s5, data.s5, data.s6, data.s6, data.s7, data.s7);
+
+    vstore16(data_out, 0, (__global DATA_TYPE *)dst.ptr);
+    vstore16(data_out, 0, (__global DATA_TYPE *)tensor3D_offset(&dst, 0, 1, 0));
+#else  // !defined(VEC_SIZE_IN) && defined(VEC_SIZE_OUT) && defined(LAST_ACCESSED_X_IN) && defined(LAST_ACCESSED_X_OUT)
+    *((__global DATA_TYPE *)tensor3D_offset(&dst, 0, 0, 0)) = *((__global DATA_TYPE *)src.ptr);
+    *((__global DATA_TYPE *)tensor3D_offset(&dst, 0, 1, 0)) = *((__global DATA_TYPE *)src.ptr);
+#endif // defined(VEC_SIZE_IN) && defined(VEC_SIZE_OUT) && defined(LAST_ACCESSED_X_IN) && defined(LAST_ACCESSED_X_OUT)
+}
+
+/** This function applies upsample on an input image. (NHWC)
+ *
+ * @attention The following variables must be passed at compile time:
+ * -# -DDATA_TYPE = Tensor data type. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * -# -DVEC_SIZE_IN = Input vector size
+ * -# -DVEC_SIZE_OUT = Output vector size
+ * -# -DLAST_ACCESSED_X_IN = The input element that is on the X border (threads trying to set this, might need to step back a bit)
+ * -# -DLAST_ACCESSED_X_OUT = The output element that is on the X border (threads trying to set this, might need to step back a bit)
+ *
+ * @param[in]  src_ptr                           Pointer to the source image. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in]  src_stride_x                      Stride of the source image in X dimension (in bytes)
+ * @param[in]  src_step_x                        src_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in]  src_stride_y                      Stride of the source image in Y dimension (in bytes)
+ * @param[in]  src_step_y                        src_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in]  src_stride_z                      Stride of the source tensor in Z dimension (in bytes)
+ * @param[in]  src_step_z                        src_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in]  src_offset_first_element_in_bytes The offset of the first element in the source image
+ * @param[out] dst_ptr                           Pointer to the destination image. Supported data types: same as @p src_ptr
+ * @param[in]  dst_stride_x                      Stride of the destination image in X dimension (in bytes)
+ * @param[in]  dst_step_x                        dst_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in]  dst_stride_y                      Stride of the destination image in Y dimension (in bytes)
+ * @param[in]  dst_step_y                        dst_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in]  dst_stride_z                      Stride of the source tensor in Z dimension (in bytes)
+ * @param[in]  dst_step_z                        dst_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in]  dst_offset_first_element_in_bytes The offset of the first element in the destination image
+ */
+__kernel void upsample_layer_nhwc(
+    TENSOR3D_DECLARATION(src),
+    TENSOR3D_DECLARATION(dst))
+{
+    Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT(src);
+    Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst);
+
+#if defined(VEC_SIZE_IN) && defined(VEC_SIZE_OUT) && defined(LAST_ACCESSED_X_IN) && defined(LAST_ACCESSED_X_OUT)
+    // Check if access on width gets out of bounds
+    // If it does shift access vector to access elements within bounds
+    const int xi_in  = (int)(get_global_id(0) * VEC_SIZE_IN);
+    const int xi_out = (int)(get_global_id(0) * VEC_SIZE_OUT);
+    src.ptr -= max(xi_in - (int)LAST_ACCESSED_X_IN, 0) * src_stride_x;
+    dst.ptr -= max(xi_out - (int)LAST_ACCESSED_X_OUT, 0) * dst_stride_x;
+
+    VEC_DATA_TYPE(DATA_TYPE, 16)
+    data = vload16(0, (__global DATA_TYPE *)src.ptr);
+
+    vstore16(data, 0, (__global DATA_TYPE *)tensor3D_offset(&dst, 0, 0, 0));
+    vstore16(data, 0, (__global DATA_TYPE *)tensor3D_offset(&dst, 0, 1, 0));
+    vstore16(data, 0, (__global DATA_TYPE *)tensor3D_offset(&dst, 0, 0, 1));
+    vstore16(data, 0, (__global DATA_TYPE *)tensor3D_offset(&dst, 0, 1, 1));
+#else  // !defined(VEC_SIZE_IN) && defined(VEC_SIZE_OUT) && defined(LAST_ACCESSED_X_IN) && defined(LAST_ACCESSED_X_OUT)
+    *((__global DATA_TYPE *)tensor3D_offset(&dst, 0, 0, 0)) = *((__global DATA_TYPE *)src.ptr);
+    *((__global DATA_TYPE *)tensor3D_offset(&dst, 0, 1, 0)) = *((__global DATA_TYPE *)src.ptr);
+    *((__global DATA_TYPE *)tensor3D_offset(&dst, 0, 0, 1)) = *((__global DATA_TYPE *)src.ptr);
+    *((__global DATA_TYPE *)tensor3D_offset(&dst, 0, 1, 1)) = *((__global DATA_TYPE *)src.ptr);
+#endif // defined(VEC_SIZE_IN) && defined(VEC_SIZE_OUT) && defined(LAST_ACCESSED_X_IN) && defined(LAST_ACCESSED_X_OUT)
+}
diff --git a/src/core/CL/kernels/CLUpsampleLayerKernel.cpp b/src/core/CL/kernels/CLUpsampleLayerKernel.cpp
new file mode 100644
index 0000000000..ee3fa1141d
--- /dev/null
+++ b/src/core/CL/kernels/CLUpsampleLayerKernel.cpp
@@ -0,0 +1,163 @@
+/*
+ * Copyright (c) 2018 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/CL/kernels/CLUpsampleLayerKernel.h"
+
+#include "arm_compute/core/AccessWindowStatic.h"
+#include "arm_compute/core/CL/CLHelpers.h"
+#include "arm_compute/core/CL/CLKernelLibrary.h"
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/core/Window.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+
+namespace arm_compute
+{
+CLUpsampleLayerKernel::CLUpsampleLayerKernel()
+    : _input(nullptr), _output(nullptr), _info(), _num_elems_processed_per_iteration_input_x()
+{
+}
+
+Status CLUpsampleLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &info, const InterpolationPolicy upsampling_policy)
+{
+    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
+    ARM_COMPUTE_UNUSED(upsampling_policy);
+
+    DataLayout data_layout = input->data_layout();
+    const int  idx_width   = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
+    const int  idx_height  = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
+
+    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
+    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output);
+    ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(idx_width) != info.x() * input->dimension(idx_width));
+    ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(idx_height) != info.y() * input->dimension(idx_height));
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG(info.x() != 2 || info.y() != 2, "Only stride 2 is supported");
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG(upsampling_policy != InterpolationPolicy::NEAREST_NEIGHBOR, "Only nearest neighbor policy supported");
+
+    return Status{};
+}
+
+void CLUpsampleLayerKernel::configure(const ICLTensor *input, ICLTensor *output, const Size2D &info, const InterpolationPolicy upsampling_policy)
+{
+    ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+    ARM_COMPUTE_UNUSED(upsampling_policy);
+
+    _input                                     = input;
+    _output                                    = output;
+    _info                                      = info;
+    _num_elems_processed_per_iteration_input_x = 1;
+
+    const DataLayout data_layout = input->info()->data_layout();
+
+    TensorShape output_shape = misc::shape_calculator::compute_upsample_shape(*input->info(), info);
+    auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type());
+    output->info()->set_data_layout(data_layout);
+
+    unsigned int num_elems_processed_per_iteration_x = 16;
+    const int    output_width_x                      = output->info()->dimension(0);
+    const bool   multi_access_x                      = ((output_width_x / num_elems_processed_per_iteration_x) > 0);
+
+    // Perform validation step
+    ARM_COMPUTE_ERROR_THROW_ON(CLUpsampleLayerKernel::validate(input->info(), output->info(), info, upsampling_policy));
+
+    Window win{};
+
+    switch(data_layout)
+    {
+        case DataLayout::NCHW:
+        {
+            win = calculate_max_window(*output->info());
+            win.set(Window::DimY, Window::Dimension(win.y().start(), win.y().end(), info.y()));
+            if(multi_access_x)
+            {
+                _num_elems_processed_per_iteration_input_x = num_elems_processed_per_iteration_x / info.x();
+                win.set(Window::DimX, Window::Dimension(win.x().start(), ceil_to_multiple(win.x().end(), num_elems_processed_per_iteration_x), num_elems_processed_per_iteration_x));
+            }
+            break;
+        }
+        case DataLayout::NHWC:
+        {
+            win = calculate_max_window(*output->info());
+            win.set(Window::DimY, Window::Dimension(win.y().start(), win.y().end(), info.x()));
+            win.set(Window::DimZ, Window::Dimension(win.z().start(), win.z().end(), info.y()));
+            if(multi_access_x)
+            {
+                _num_elems_processed_per_iteration_input_x = num_elems_processed_per_iteration_x;
+                win.set(Window::DimX, Window::Dimension(win.x().start(), ceil_to_multiple(win.x().end(),
+                                                                                          num_elems_processed_per_iteration_x),
+                                                        num_elems_processed_per_iteration_x));
+            }
+            break;
+        }
+        default:
+            ARM_COMPUTE_ERROR("Not implemented");
+    }
+
+    // Create kernel
+    CLBuildOptions build_opts;
+    build_opts.add_option(("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type())));
+    build_opts.add_option_if(multi_access_x, "-DVEC_SIZE_IN=" + support::cpp11::to_string(_num_elems_processed_per_iteration_input_x));
+    build_opts.add_option_if(multi_access_x, "-DVEC_SIZE_OUT=" + support::cpp11::to_string(num_elems_processed_per_iteration_x));
+    build_opts.add_option_if(multi_access_x, "-DLAST_ACCESSED_X_IN=" + support::cpp11::to_string(std::max<int>(_input->info()->dimension(0) - _num_elems_processed_per_iteration_input_x, 0)));
+    build_opts.add_option_if(multi_access_x, "-DLAST_ACCESSED_X_OUT=" + support::cpp11::to_string(std::max<int>(output_width_x - num_elems_processed_per_iteration_x, 0)));
+    _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("upsample_layer_" + lower_string(string_from_data_layout(input->info()->data_layout())), build_opts.options()));
+
+    ICLKernel::configure_internal(win);
+}
+
+void CLUpsampleLayerKernel::run(const Window &window, cl::CommandQueue &queue)
+{
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
+
+    Window collapsed_window = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
+    Window slice_out        = collapsed_window.first_slice_window_3D();
+    Window slice_in         = collapsed_window.first_slice_window_3D();
+
+    DataLayout data_layout = _input->info()->data_layout();
+    switch(data_layout)
+    {
+        case DataLayout::NCHW:
+            slice_in.set(Window::DimX, Window::Dimension(0, _input->info()->dimension(0), _num_elems_processed_per_iteration_input_x));
+            slice_in.set(Window::DimY, Window::Dimension(0, _input->info()->dimension(1), 1));
+            break;
+        case DataLayout::NHWC:
+            slice_in.set(Window::DimY, Window::Dimension(0, _input->info()->dimension(1), 1));
+            slice_in.set(Window::DimZ, Window::Dimension(0, _input->info()->dimension(2), 1));
+            break;
+        default:
+            ARM_COMPUTE_ERROR("Not implemented");
+    }
+
+    do
+    {
+        unsigned int idx = 0;
+        add_3D_tensor_argument(idx, _input, slice_in);
+        add_3D_tensor_argument(idx, _output, slice_out);
+        enqueue(queue, *this, slice_out);
+    }
+    while(collapsed_window.slide_window_slice_3D(slice_out) && collapsed_window.slide_window_slice_3D(slice_in));
+}
+} // namespace arm_compute
diff --git a/src/runtime/CL/functions/CLUpsampleLayer.cpp b/src/runtime/CL/functions/CLUpsampleLayer.cpp
new file mode 100644
index 0000000000..1dad3250a2
--- /dev/null
+++ b/src/runtime/CL/functions/CLUpsampleLayer.cpp
@@ -0,0 +1,57 @@
+/*
+ * Copyright (c) 2018 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/runtime/CL/functions/CLUpsampleLayer.h"
+
+#include "arm_compute/core/CL/OpenCL.h"
+#include "arm_compute/core/Utils.h"
+#include "arm_compute/runtime/CL/CLScheduler.h"
+
+namespace arm_compute
+{
+CLUpsampleLayer::CLUpsampleLayer() // NOLINT
+    : _upsample(),
+      _output(nullptr)
+{
+}
+
+Status CLUpsampleLayer::validate(const ITensorInfo *input, const ITensorInfo *output,
+                                 const Size2D &info, const InterpolationPolicy upsampling_policy)
+{
+    return CLUpsampleLayerKernel::validate(input, output, info, upsampling_policy);
+}
+
+void CLUpsampleLayer::configure(ICLTensor *input, ICLTensor *output,
+                                const Size2D &info, const InterpolationPolicy upsampling_policy)
+{
+    ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+
+    _output = output;
+    _upsample.configure(input, _output, info, upsampling_policy);
+}
+
+void CLUpsampleLayer::run()
+{
+    CLScheduler::get().enqueue(_upsample, false);
+}
+} // namespace arm_compute
diff --git a/tests/validation/CL/UpsampleLayer.cpp b/tests/validation/CL/UpsampleLayer.cpp
new file mode 100644
index 0000000000..31ad8c1717
--- /dev/null
+++ b/tests/validation/CL/UpsampleLayer.cpp
@@ -0,0 +1,148 @@
+/*
+ * Copyright (c) 2018 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/CLUpsampleLayer.h"
+#include "tests/CL/CLAccessor.h"
+#include "tests/PaddingCalculator.h"
+#include "tests/datasets/ShapeDatasets.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/UpsampleLayerFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+constexpr AbsoluteTolerance<float> tolerance(0.001f);
+} // namespace
+
+TEST_SUITE(CL)
+TEST_SUITE(UpsampleLayer)
+
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, (combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32))),
+               input_shape, data_type)
+{
+    InterpolationPolicy upsampling_policy = InterpolationPolicy::NEAREST_NEIGHBOR;
+    Size2D              info              = Size2D(2, 2);
+
+    // Create tensors
+    CLTensor src = create_tensor<CLTensor>(input_shape, data_type, 1);
+    CLTensor dst;
+
+    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+    ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+    // Create and configure function
+    CLUpsampleLayer upsample;
+    upsample.configure(&src, &dst, info, upsampling_policy);
+
+    // Validate valid region
+    const ValidRegion src_valid_region = shape_to_valid_region(src.info()->tensor_shape());
+    const ValidRegion dst_valid_region = shape_to_valid_region(dst.info()->tensor_shape());
+
+    validate(src.info()->valid_region(), src_valid_region);
+    validate(dst.info()->valid_region(), dst_valid_region);
+}
+
+// *INDENT-OFF*
+// clang-format off
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
+    framework::dataset::make("InputInfo", { TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), // Mismatching data type
+                                            TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), // Invalid output shape
+                                            TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), // Invalid stride
+                                            TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32), // Invalid policy
+                                            TensorInfo(TensorShape(10U, 10U, 2U), 1, DataType::F32),
+                                          }),
+    framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F16),
+                                            TensorInfo(TensorShape(20U, 10U, 2U), 1, DataType::F32),
+                                            TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32),
+                                            TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32),
+                                            TensorInfo(TensorShape(20U, 20U, 2U), 1, DataType::F32),
+                                          })),
+    framework::dataset::make("PadInfo", { Size2D(2, 2),
+                                          Size2D(2, 2),
+                                          Size2D(1, 1),
+                                          Size2D(2, 2),
+                                          Size2D(2, 2),
+                                           })),
+   framework::dataset::make("UpsamplingPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR,
+                                                  InterpolationPolicy::NEAREST_NEIGHBOR,
+                                                  InterpolationPolicy::NEAREST_NEIGHBOR,
+                                                  InterpolationPolicy::BILINEAR,
+                                                  InterpolationPolicy::NEAREST_NEIGHBOR,
+                                                })),
+    framework::dataset::make("Expected", { false, false, false, false, true })),
+    input_info, output_info, pad_info, upsampling_policy, expected)
+{
+    bool is_valid = bool(CLUpsampleLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), pad_info, upsampling_policy));
+    ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
+}
+// clang-format on
+// *INDENT-ON*
+
+template <typename T>
+using CLUpsampleLayerFixture = UpsampleLayerFixture<CLTensor, CLAccessor, CLUpsampleLayer, T>;
+
+TEST_SUITE(Float)
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLUpsampleLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(),
+                                                                                                                   framework::dataset::make("DataType", DataType::F32)),
+                                                                                                                   framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
+                                                                                                                   framework::dataset::make("PadInfo", { Size2D(2, 2) })),
+                                                                                                           framework::dataset::make("UpsamplingPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR })))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance);
+}
+TEST_SUITE_END() // FP32
+
+TEST_SUITE(FP16)
+
+FIXTURE_DATA_TEST_CASE(RunSmall, CLUpsampleLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(),
+                                                                                                                  framework::dataset::make("DataType",
+                                                                                                                          DataType::F16)),
+                                                                                                                  framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
+                                                                                                                  framework::dataset::make("PadInfo", { Size2D(2, 2) })),
+                                                                                                          framework::dataset::make("UpsamplingPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR })))
+{
+    // Validate output
+    validate(CLAccessor(_target), _reference, tolerance);
+}
+
+TEST_SUITE_END() // FP16
+TEST_SUITE_END() // Float
+
+TEST_SUITE_END() // UpsampleLayer
+TEST_SUITE_END() // CL
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/fixtures/UpsampleLayerFixture.h b/tests/validation/fixtures/UpsampleLayerFixture.h
new file mode 100644
index 0000000000..8fc3565e18
--- /dev/null
+++ b/tests/validation/fixtures/UpsampleLayerFixture.h
@@ -0,0 +1,116 @@
+/*
+ * Copyright (c) 2018 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/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/AssetsLibrary.h"
+#include "tests/Globals.h"
+#include "tests/IAccessor.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Fixture.h"
+#include "tests/validation/Helpers.h"
+#include "tests/validation/reference/UpsampleLayer.h"
+
+#include <random>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class UpsampleLayerFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape input_shape, DataType data_type, DataLayout data_layout,
+               Size2D info, const InterpolationPolicy &upsampling_policy)
+    {
+        _data_type = data_type;
+
+        _target    = compute_target(input_shape, info, upsampling_policy, data_type, data_layout);
+        _reference = compute_reference(input_shape, info, upsampling_policy, data_type);
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor, int i)
+    {
+        library->fill_tensor_uniform(tensor, i);
+    }
+
+    TensorType compute_target(TensorShape   input_shape,
+                              const Size2D &info, const InterpolationPolicy &upsampling_policy, DataType data_type, DataLayout data_layout)
+    {
+        if(data_layout == DataLayout::NHWC)
+        {
+            permute(input_shape, PermutationVector(2U, 0U, 1U));
+        }
+
+        // Create tensors
+        TensorType src = create_tensor<TensorType>(input_shape, data_type, 1, QuantizationInfo(), data_layout);
+        TensorType dst;
+
+        // Create and configure function
+        FunctionType upsample;
+        upsample.configure(&src, &dst, info, upsampling_policy);
+
+        ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Fill tensors
+        fill(AccessorType(src), 0);
+
+        // Compute DeconvolutionLayer function
+        upsample.run();
+
+        return dst;
+    }
+
+    SimpleTensor<T> compute_reference(const TensorShape &input_shape,
+                                      const Size2D &info, const InterpolationPolicy &upsampling_policy, DataType data_type)
+    {
+        // Create reference
+        SimpleTensor<T> src{ input_shape, data_type };
+
+        // Fill reference
+        fill(src, 0);
+
+        return reference::upsample_layer<T>(src, info, upsampling_policy);
+    }
+
+    TensorType      _target{};
+    SimpleTensor<T> _reference{};
+    DataType        _data_type{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/reference/UpsampleLayer.cpp b/tests/validation/reference/UpsampleLayer.cpp
new file mode 100644
index 0000000000..3a340d0905
--- /dev/null
+++ b/tests/validation/reference/UpsampleLayer.cpp
@@ -0,0 +1,86 @@
+/*
+ * Copyright (c) 2018 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 "UpsampleLayer.h"
+
+#include "tests/validation/Helpers.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> upsample_layer(const SimpleTensor<T> &src,
+                               const Size2D &info, const InterpolationPolicy upsampling_policy)
+{
+    ARM_COMPUTE_ERROR_ON(upsampling_policy != InterpolationPolicy::NEAREST_NEIGHBOR);
+    ARM_COMPUTE_UNUSED(upsampling_policy);
+
+    TensorShape output_shape = src.shape();
+    output_shape.set(0, src.shape().x() * info.x());
+    output_shape.set(1, src.shape().y() * info.y());
+
+    // Create reference
+    const int       stride_x   = info.x();
+    const int       stride_y   = info.y();
+    int             width_out  = output_shape.x();
+    int             height_out = output_shape.y();
+    SimpleTensor<T> out{ output_shape, src.data_type(), 1, src.quantization_info() };
+
+    const int width_in      = src.shape().x();
+    const int height_in     = src.shape().y();
+    const int num_2d_slices = src.shape().total_size() / (width_in * height_in);
+
+    for(int slice = 0; slice < num_2d_slices; ++slice)
+    {
+        const int offset_slice_in  = slice * width_in * height_in;
+        const int offset_slice_out = slice * height_out * width_out;
+        for(int y = 0; y < height_out; ++y)
+        {
+            for(int x = 0; x < width_out; ++x)
+            {
+                const int out_offset = y * width_out + x;
+                const int in_offset  = (y / stride_y) * width_in + x / stride_x;
+
+                T       *_out = out.data() + offset_slice_out + out_offset;
+                const T *in   = src.data() + offset_slice_in + in_offset;
+                *_out         = *in;
+            }
+        }
+    }
+
+    return out;
+}
+
+template SimpleTensor<float> upsample_layer(const SimpleTensor<float> &src,
+                                            const Size2D &info, const InterpolationPolicy upsampling_policy);
+template SimpleTensor<half> upsample_layer(const SimpleTensor<half> &src,
+                                           const Size2D &info, const InterpolationPolicy upsampling_policy);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/reference/UpsampleLayer.h b/tests/validation/reference/UpsampleLayer.h
new file mode 100644
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--- /dev/null
+++ b/tests/validation/reference/UpsampleLayer.h
@@ -0,0 +1,45 @@
+/*
+ * Copyright (c) 2018 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_UPSAMPLE_LAYER_H__
+#define __ARM_COMPUTE_TEST_UPSAMPLE_LAYER_H__
+
+#include "tests/SimpleTensor.h"
+#include "tests/validation/Helpers.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> upsample_layer(const SimpleTensor<T> &src,
+                               const Size2D &info, const InterpolationPolicy upsampling_policy);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_UPSAMPLE_LAYER_H__ */