diff --git a/src/gpu/cl/ClKernelLibrary.cpp b/src/gpu/cl/ClKernelLibrary.cpp
index bab5342..a5d37f4 100644
--- a/src/gpu/cl/ClKernelLibrary.cpp
+++ b/src/gpu/cl/ClKernelLibrary.cpp
@@ -437,6 +437,7 @@
     { "pooling_layer_MxN_nhwc", "nhwc/pooling_layer.cl" },
     { "pooling_layer_2x2_nhwc", "nhwc/pooling_layer.cl" },
     { "pooling_layer_MxN_quantized_nhwc", "nhwc/pooling_layer_quantized.cl" },
+    { "pooling_3d_layer_MxN_ndhwc", "nhwc/pooling_3d_layer.cl" },
     { "reorg_layer_nhwc", "nhwc/reorg_layer.cl" },
     { "scale_nearest_neighbour_nhwc", "nhwc/scale.cl" },
     { "scale_bilinear_nhwc", "nhwc/scale.cl" },
@@ -882,6 +883,10 @@
 #include "./cl_kernels/nhwc/pooling_layer.clembed"
     },
     {
+        "nhwc/pooling_3d_layer.cl",
+#include "./cl_kernels/nhwc/pooling_3d_layer.clembed"
+    },
+    {
         "nhwc/pooling_layer_quantized.cl",
 #include "./cl_kernels/nhwc/pooling_layer_quantized.clembed"
     },
diff --git a/src/gpu/cl/kernels/ClPool3dKernel.cpp b/src/gpu/cl/kernels/ClPool3dKernel.cpp
new file mode 100644
index 0000000..929ccf7
--- /dev/null
+++ b/src/gpu/cl/kernels/ClPool3dKernel.cpp
@@ -0,0 +1,225 @@
+/*
+ * Copyright (c) 2022 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 "src/gpu/cl/kernels/ClPool3dKernel.h"
+
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "src/core/CL/CLValidate.h"
+#include "src/core/helpers/AutoConfiguration.h"
+#include "src/core/helpers/WindowHelpers.h"
+#include "support/Cast.h"
+#include "utils/TypePrinter.h"
+
+namespace arm_compute
+{
+namespace opencl
+{
+namespace kernels
+{
+using namespace arm_compute::misc::shape_calculator;
+
+namespace
+{
+Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst, const Pooling3dLayerInfo &pool_info)
+{
+    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst);
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG(src->data_layout() != DataLayout::NDHWC, "Only NDHWC layout supported");
+
+    ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src);
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG((pool_info.stride.x() == 0 || pool_info.stride.y() == 0 || pool_info.stride.z() == 0), "Strides cannot be zero.");
+    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::F16, DataType::F32);
+
+    const auto   data_layout       = src->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);
+    const int    idx_depth         = get_data_layout_dimension_index(data_layout, DataLayoutDimension::DEPTH);
+    const bool   is_global_pooling = pool_info.is_global_pooling;
+    const unsigned int pool_size_x       = is_global_pooling ? src->dimension(idx_width) : pool_info.pool_size.width;
+    const unsigned int pool_size_y       = is_global_pooling ? src->dimension(idx_height) : pool_info.pool_size.height;
+    const unsigned int pool_size_z       = is_global_pooling ? src->dimension(idx_depth) : pool_info.pool_size.depth;
+    int          output_width      = 0;
+    int          output_height     = 0;
+    int          output_depth      = 0;
+
+    bool round_type_ceil_with_asymm_padding = (pool_info.round_type == DimensionRoundingType::CEIL) && (!is_symmetric(pool_info.padding));
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG(round_type_ceil_with_asymm_padding, "Cannot use dimension round type CEIL when padding is asymmetric.");
+
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG(is_pool_3d_region_entirely_outside_input(pool_info), "Pooling region that is entirely outside input tensor is unsupported");
+    std::tie(output_width, output_height, output_depth) = scaled_3d_dimensions_signed(src->tensor_shape()[idx_width], src->tensor_shape()[idx_height],
+                                                                                      src->tensor_shape()[idx_depth], pool_size_x, pool_size_y,
+                                                                                      pool_size_z, pool_info);
+
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG((output_width < 1 || output_height < 1 || output_depth < 1), "Calculated output dimension size is invalid");
+    // Checks performed when dst is configured
+    if(dst->total_size() != 0)
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst);
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(src, dst);
+        TensorInfo out_info(TensorInfo(compute_pool3d_shape(src->tensor_shape(), pool_info), 1, dst->data_type()));
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(dst, &out_info);
+    }
+
+    return Status{};
+}
+} // namespace
+
+ClPool3dKernel::ClPool3dKernel()
+{
+    _type = CLKernelType::POOL;
+}
+
+void ClPool3dKernel::configure(const ClCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst, const Pooling3dLayerInfo &pool_info)
+{
+    ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
+    ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst, pool_info));
+    auto padding_info = get_padding_info({ src, dst });
+
+    // Auto init if empty
+    TensorShape out_shape = compute_pool3d_shape(src->tensor_shape(), pool_info);
+    auto_init_if_empty(*dst, src->clone()->set_tensor_shape(out_shape));
+
+    // Set instance variables
+    _pool_info   = pool_info;
+    _data_layout = src->data_layout();
+
+    _num_elems_processed_per_iteration = (dst->data_type() == DataType::F32) ? 2 : 4;
+    _num_elems_processed_per_iteration = adjust_vec_size(_num_elems_processed_per_iteration, dst->dimension(0));
+
+    const PoolingType pool_type       = pool_info.pool_type;
+    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);
+    const int         idx_depth       = get_data_layout_dimension_index(_data_layout, DataLayoutDimension::DEPTH);
+    const int         idx_channel     = get_data_layout_dimension_index(_data_layout, DataLayoutDimension::CHANNEL);
+    const int         idx_batch_size  = get_data_layout_dimension_index(_data_layout, DataLayoutDimension::BATCHES);
+    const int         pool_size_x     = pool_info.is_global_pooling ? src->dimension(idx_width) : pool_info.pool_size.width;
+    const int         pool_size_y     = pool_info.is_global_pooling ? src->dimension(idx_height) : pool_info.pool_size.height;
+    const int         pool_size_z     = pool_info.is_global_pooling ? src->dimension(idx_depth) : pool_info.pool_size.depth;
+    const bool        exclude_padding = pool_info.exclude_padding;
+    const int         pool_stride_x   = pool_info.stride.x();
+    const int         pool_stride_y   = pool_info.stride.y();
+    const int         pool_stride_z   = pool_info.stride.z();
+    const int         pool_pad_top    = pool_info.padding.top;
+    const int         pool_pad_left   = pool_info.padding.left;
+    const int         pool_pad_front  = pool_info.padding.front;
+    const DataType    data_type       = src->data_type();
+
+    // Set build options
+    CLBuildOptions build_opts;
+    build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(_num_elems_processed_per_iteration));
+    build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(data_type));
+    build_opts.add_option("-DPOOL_" + string_from_pooling_type(pool_type));
+    build_opts.add_option("-DSTRIDE_X=" + support::cpp11::to_string(pool_stride_x));
+    build_opts.add_option("-DSTRIDE_Y=" + support::cpp11::to_string(pool_stride_y));
+    build_opts.add_option("-DSTRIDE_Z=" + support::cpp11::to_string(pool_stride_z));
+    build_opts.add_option("-DPAD_X=" + support::cpp11::to_string(pool_pad_left));
+    build_opts.add_option("-DPAD_Y=" + support::cpp11::to_string(pool_pad_top));
+    build_opts.add_option("-DPAD_Z=" + support::cpp11::to_string(pool_pad_front));
+    build_opts.add_option("-DPOOL_SIZE_X=" + support::cpp11::to_string(pool_size_x));
+    build_opts.add_option("-DPOOL_SIZE_Y=" + support::cpp11::to_string(pool_size_y));
+    build_opts.add_option("-DPOOL_SIZE_Z=" + support::cpp11::to_string(pool_size_z));
+    build_opts.add_option("-DSRC_WIDTH=" + support::cpp11::to_string(src->dimension(idx_width)));
+    build_opts.add_option("-DSRC_HEIGHT=" + support::cpp11::to_string(src->dimension(idx_height)));
+    build_opts.add_option("-DSRC_DEPTH=" + support::cpp11::to_string(src->dimension(idx_depth)));
+
+    // Set the initial value for the pooling operation accordingly with the data type
+    if(pool_type == PoolingType::MAX)
+    {
+        build_opts.add_option("-DINITIAL_VALUE=" + float_to_string_with_full_precision(std::numeric_limits<float>::lowest()));
+    }
+    else
+    {
+        // Pool AVG and Pool L2 initial value
+        build_opts.add_option("-DINITIAL_VALUE=0");
+    }
+    // Create kernel
+    // Floating point mixed precision is support on F16 only
+    const auto use_fp_mixed_precision = (data_type == DataType::F16) && pool_info.fp_mixed_precision && pool_type != PoolingType::MAX;
+
+    // Wider accumulation is required to avoid accuracy loss
+    // Case 1: Floating point mixed precision (fp16 src data and fp32 accumulation)
+    DataType acc_data_type = data_type;
+    if(use_fp_mixed_precision)
+    {
+        acc_data_type = DataType::F32;
+    }
+    build_opts.add_option("-DACC_DATA_TYPE=" + get_cl_type_from_data_type(acc_data_type));
+    build_opts.add_option_if(use_fp_mixed_precision, "-DFP_MIXED_PRECISION");
+    build_opts.add_option_if(exclude_padding, "-DEXCLUDE_PADDING");
+    build_opts.add_option("-DDST_HEIGHT=" + support::cpp11::to_string(dst->dimension(idx_height)));
+    build_opts.add_option("-DDST_DEPTH=" + support::cpp11::to_string(dst->dimension(idx_depth)));
+    build_opts.add_option("-DDST_CHANNELS=" + support::cpp11::to_string(dst->dimension(idx_channel)));
+    build_opts.add_option("-DDST_BATCH_SIZE=" + support::cpp11::to_string(dst->dimension(idx_batch_size)));
+    build_opts.add_option("-DVEC_SIZE_LEFTOVER=" + support::cpp11::to_string(src->dimension(0) % _num_elems_processed_per_iteration));
+    std::string kernel_name = "pooling_3d_layer_MxN_ndhwc";
+    _kernel                 = create_kernel(compile_context, kernel_name, build_opts.options());
+
+    // Configure kernel window
+    Window win = calculate_max_window(*dst, Steps(_num_elems_processed_per_iteration));
+    ICLKernel::configure_internal(win);
+
+    // Set config_id for enabling LWS tuning
+    _config_id = "pooling_layer_3d";
+    _config_id += lower_string(string_from_data_type(data_type));
+    _config_id += "_";
+    _config_id += lower_string(string_from_data_layout(_data_layout));
+    _config_id += "_";
+    _config_id += support::cpp11::to_string(dst->dimension(idx_width));
+    _config_id += "_";
+    _config_id += support::cpp11::to_string(dst->dimension(idx_height));
+    _config_id += "_";
+    _config_id += support::cpp11::to_string(dst->dimension(idx_channel));
+    _config_id += "_";
+    _config_id += lower_string(string_from_data_layout(src->data_layout()));
+
+    ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
+}
+
+Status ClPool3dKernel::validate(const ITensorInfo *src, const ITensorInfo *dst, const Pooling3dLayerInfo &pool_info)
+{
+    ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst, pool_info));
+    return Status{};
+}
+
+void ClPool3dKernel::run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue)
+{
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
+
+    const auto src = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC));
+    auto       dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST_0));
+
+    // Collapse 3D window
+    Window window_collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
+
+    // Set CL kernel arguments
+    unsigned int idx = 0;
+    // Passing of the window not needed, as the steps are not used for the pool3d kernel
+    add_5D_tensor_argument(idx, src, window);
+    add_5D_tensor_argument(idx, dst, window);
+    enqueue(queue, *this, window_collapsed, lws_hint());
+}
+} // namespace kernels
+} // namespace opencl
+} // namespace arm_compute
diff --git a/src/gpu/cl/kernels/ClPool3dKernel.h b/src/gpu/cl/kernels/ClPool3dKernel.h
new file mode 100644
index 0000000..30c76ed
--- /dev/null
+++ b/src/gpu/cl/kernels/ClPool3dKernel.h
@@ -0,0 +1,73 @@
+/*
+ * Copyright (c) 2022 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_CL_POOL3D_KERNEL_H
+#define ARM_COMPUTE_CL_POOL3D_KERNEL_H
+
+#include "src/core/common/Macros.h"
+#include "src/gpu/cl/ClCompileContext.h"
+#include "src/gpu/cl/IClKernel.h"
+
+namespace arm_compute
+{
+namespace opencl
+{
+namespace kernels
+{
+/** Interface for the pooling layer kernel */
+class ClPool3dKernel : public IClKernel
+{
+public:
+    ClPool3dKernel();
+    ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(ClPool3dKernel);
+
+    /** Configure kernel for a given list of arguments
+     *
+     * @note Asymmetric padding is not supported when dimension rounding type == CEIL.
+     *
+     * @param[in]  compile_context The compile context to be used.
+     * @param[in]  src             Source tensor info. Data types supported: F16/F32.
+     * @param[out] dst             Destination tensor info. Data types supported: same as @p src.
+     * @param[in]  pool_info       Contains pooling operation information described in @ref Pooling3dLayerInfo.
+     */
+    void configure(const ClCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst, const Pooling3dLayerInfo &pool_info);
+    /** Static function to check if given info will lead to a valid configuration
+     *
+     * Similar to ClPool3dKernel::configure()
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *src, const ITensorInfo *dst, const Pooling3dLayerInfo &pool_info);
+
+    // Inherited methods overridden:
+    void run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) override;
+
+private:
+    Pooling3dLayerInfo _pool_info{};
+    DataLayout         _data_layout{ DataLayout::UNKNOWN };
+    unsigned int       _num_elems_processed_per_iteration{ 1 };
+};
+} // namespace kernels
+} // namespace opencl
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_CL_POOL3D_KERNEL_H */
diff --git a/src/gpu/cl/operators/ClPool3d.cpp b/src/gpu/cl/operators/ClPool3d.cpp
new file mode 100644
index 0000000..7dec6c5
--- /dev/null
+++ b/src/gpu/cl/operators/ClPool3d.cpp
@@ -0,0 +1,57 @@
+/*
+ * Copyright (c) 2022 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 "src/gpu/cl/operators/ClPool3d.h"
+
+#include "arm_compute/runtime/CL/CLScheduler.h"
+
+#include "src/gpu/cl/ClCompileContext.h"
+#include "src/gpu/cl/kernels/ClPool3dKernel.h"
+
+#include "src/common/utils/Log.h"
+
+namespace arm_compute
+{
+namespace opencl
+{
+void ClPool3d::configure(const ClCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst, const Pooling3dLayerInfo &info)
+{
+    ARM_COMPUTE_ERROR_ON_NULLPTR(src);
+    ARM_COMPUTE_LOG_PARAMS(src, dst, info);
+
+    // Configure pooling kernel
+    auto k = std::make_unique<kernels::ClPool3dKernel>();
+    k->set_target(CLScheduler::get().target());
+    k->configure(compile_context, src, dst, info);
+    _kernel = std::move(k);
+
+    // Tune kernels
+    CLScheduler::get().tune_kernel_static(*_kernel);
+}
+
+Status ClPool3d::validate(const ITensorInfo *src, const ITensorInfo *dst, const Pooling3dLayerInfo &info)
+{
+    return kernels::ClPool3dKernel::validate(src, dst, info);
+}
+} // namespace opencl
+} // namespace arm_compute
diff --git a/src/gpu/cl/operators/ClPool3d.h b/src/gpu/cl/operators/ClPool3d.h
new file mode 100644
index 0000000..7d994fd
--- /dev/null
+++ b/src/gpu/cl/operators/ClPool3d.h
@@ -0,0 +1,65 @@
+/*
+ * Copyright (c) 2022 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_CL_POOL3D_H
+#define ARM_COMPUTE_CL_POOL3D_H
+
+#include "src/gpu/cl/ClCompileContext.h"
+#include "src/gpu/cl/IClOperator.h"
+
+#include <memory>
+
+namespace arm_compute
+{
+namespace opencl
+{
+/** Basic function to simulate a pooling layer with the specified pooling operation. This function calls the following OpenCL kernels:
+ *
+ * -# @ref opencl::ClPool3d
+ */
+class ClPool3d : public IClOperator
+{
+public:
+    /** Constructor */
+    ClPool3d() = default;
+    /** Configure operator for a given list of arguments
+     *
+     * @note Asymmetric padding is not supported when dimension rounding type == CEIL.
+     *
+     * @param[in]  compile_context The compile context to be used.
+     * @param[in]  src             Source tensor info.
+     * @param[out] dst             Destination tensor info.
+     * @param[in]  info            3d Pooling layer parameters.
+     */
+    void configure(const ClCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst, const Pooling3dLayerInfo &info);
+    /** Static function to check if given info will lead to a valid configuration
+     *
+     * Similar to ClPool3d::configure()
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *src, const ITensorInfo *dst, const Pooling3dLayerInfo &info);
+};
+} // namespace opencl
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_CL_POOL3D_H */