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>

4 files changed, 361 insertions, 0 deletions

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