COMPMID-1235: Implements StridedSlice for CL

Change-Id: If2b44da31fae528c76be742b4b3a21fb0eb06b49
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/145284
Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>

5 files changed, 468 insertions, 0 deletions

diff --git a/src/core/CL/CLKernelLibrary.cpp b/src/core/CL/CLKernelLibrary.cpp
index 3c92257642..6f45756c12 100644
--- a/src/core/CL/CLKernelLibrary.cpp
+++ b/src/core/CL/CLKernelLibrary.cpp
@@ -359,6 +359,7 @@ const std::map<std::string, std::string> CLKernelLibrary::_kernel_program_map =
     { "softmax_layer_max_shift_exp_sum_quantized_parallel", "softmax_layer_quantized.cl" },
     { "softmax_layer_max_shift_exp_sum_serial", "softmax_layer.cl" },
     { "softmax_layer_max_shift_exp_sum_parallel", "softmax_layer.cl" },
+    { "strided_slice", "strided_slice.cl" },
     { "suppress_non_maximum", "canny.cl" },
     { "tablelookup_U8", "tablelookup.cl" },
     { "tablelookup_S16", "tablelookup.cl" },
@@ -735,6 +736,10 @@ const std::map<std::string, std::string> CLKernelLibrary::_program_source_map =
 #include "./cl_kernels/softmax_layer_quantized.clembed"
     },
     {
+        "strided_slice.cl",
+#include "./cl_kernels/strided_slice.clembed"
+    },
+    {
         "tablelookup.cl",
 #include "./cl_kernels/tablelookup.clembed"
     },
diff --git a/src/core/CL/cl_kernels/strided_slice.cl b/src/core/CL/cl_kernels/strided_slice.cl
new file mode 100644
index 0000000000..7c68fb9a07
--- /dev/null
+++ b/src/core/CL/cl_kernels/strided_slice.cl
@@ -0,0 +1,85 @@
+/*
+ * 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"
+
+/** Perform a strided slice operation on a given input.
+ *
+ * @attention Supported tensor rank: up to 4
+ *
+ * @attention Data type can be passed using the -DDATA_TYPE compile flag, e.g. -DDATA_TYPE=float
+ * @attention Input and output tensor dephts should be given as a preprocessor arguments using -DSRC_DEPTH=size. and -DDST_DEPTH=size
+ * @attention Absolute start coordinates for each dimension should be given as preprocessor -DSTART_index=value e.g. -DSTART_0=2
+ * @attention Strides for each dimension should be given as preprocessor -DSTRIDE_index=value e.g. -DSTRIDE_1=1
+ *
+ * @param[in]  input_ptr                            Pointer to the source tensor. Supported data types: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32
+ * @param[in]  input_stride_x                       Stride of the source tensor in X dimension (in bytes)
+ * @param[in]  input_step_x                         input_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in]  input_stride_y                       Stride of the source tensor in Y dimension (in bytes)
+ * @param[in]  input_step_y                         input_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in]  input_stride_z                       Stride of the source tensor in Z dimension (in bytes)
+ * @param[in]  input_step_z                         input_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in]  input_stride_w                       Stride of the source tensor in W dimension (in bytes)
+ * @param[in]  input_step_w                         input_stride_w * number of elements along W processed per workitem(in bytes)
+ * @param[in]  input_offset_first_element_in_bytes  The offset of the first element in the source tensor
+ * @param[out] output_ptr                           Pointer to the destination tensor. Supported data types: same as @p input_ptr
+ * @param[in]  output_stride_x                      Stride of the destination tensor in X dimension (in bytes)
+ * @param[in]  output_step_x                        output_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in]  output_stride_y                      Stride of the destination tensor in Y dimension (in bytes)
+ * @param[in]  output_step_y                        output_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in]  output_stride_z                      Stride of the destination tensor in Z dimension (in bytes)
+ * @param[in]  output_step_z                        output_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in]  output_stride_w                      Stride of the destination tensor in W dimension (in bytes)
+ * @param[in]  output_step_w                        output_stride_w * number of elements along W processed per workitem(in bytes)
+ * @param[in]  output_offset_first_element_in_bytes The offset of the first element in the destination tensor
+ */
+__kernel void strided_slice(
+    TENSOR4D_DECLARATION(input),
+    TENSOR4D_DECLARATION(output))
+{
+    // Get pixels pointer
+    Tensor4D input  = CONVERT_TO_TENSOR4D_STRUCT_NO_STEP(input, SRC_DEPTH);
+    Tensor4D output = CONVERT_TO_TENSOR4D_STRUCT(output, DST_DEPTH);
+
+    int offset_0 = 0;
+    int offset_1 = 0;
+    int offset_2 = 0;
+    int offset_3 = 0;
+
+    // Calculate offset
+#if defined(START_0) && defined(STRIDE_0)
+    offset_0 = (int)START_0 + (int)get_global_id(0) * (int)STRIDE_0;
+#endif // defined(START_0) && defined(STRIDE_0)
+#if defined(START_1) && defined(STRIDE_1)
+    offset_1 = (int)START_1 + (int)get_global_id(1) * (int)STRIDE_1;
+#endif // defined(START_1) && defined(STRIDE_1)
+#if defined(START_2) && defined(STRIDE_2)
+    offset_2 = (int)START_2 + ((int)get_global_id(2) % (int)DST_DEPTH) * (int)STRIDE_2;
+#endif // defined(START_2) && defined(STRIDE_2)
+#if defined(START_3) && defined(STRIDE_3)
+    offset_3 = (int)START_3 + ((int)get_global_id(2) / (int)DST_DEPTH) * (int)STRIDE_3;
+#endif // defined(START_2) && defined(STRIDE_2)
+
+    // Store result
+    *((__global DATA_TYPE *)(output.ptr)) = *((__global DATA_TYPE *)tensor4D_offset(&input, offset_0, offset_1, offset_2, offset_3));
+}
diff --git a/src/core/CL/kernels/CLStridedSliceKernel.cpp b/src/core/CL/kernels/CLStridedSliceKernel.cpp
new file mode 100644
index 0000000000..f07436ac60
--- /dev/null
+++ b/src/core/CL/kernels/CLStridedSliceKernel.cpp
@@ -0,0 +1,189 @@
+/*
+ * 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/CLStridedSliceKernel.h"
+
+#include "arm_compute/core/CL/CLHelpers.h"
+#include "arm_compute/core/CL/CLKernelLibrary.h"
+#include "arm_compute/core/CL/CLValidate.h"
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "arm_compute/core/IAccessWindow.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Window.h"
+
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/helpers/tensor_transform.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+
+namespace arm_compute
+{
+namespace
+{
+Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output,
+                          const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
+                          int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
+{
+    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
+    ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input);
+    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1,
+                                                         DataType::U8, DataType::S8, DataType::QASYMM8,
+                                                         DataType::U16, DataType::S16,
+                                                         DataType::U32, DataType::S32,
+                                                         DataType::F16, DataType::F32);
+
+    ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape().num_dimensions() > 4);
+    ARM_COMPUTE_RETURN_ERROR_ON(starts.num_dimensions() > input->num_dimensions());
+    ARM_COMPUTE_RETURN_ERROR_ON(ends.num_dimensions() > input->num_dimensions());
+    ARM_COMPUTE_RETURN_ERROR_ON(strides.num_dimensions() > input->num_dimensions());
+    for(unsigned int i = 0; i < strides.num_dimensions(); ++i)
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON(strides[i] == 0);
+    }
+
+    // Get expected output shape
+    const TensorShape exp_output_shape = arm_compute::misc::shape_calculator::compute_strided_slice_shape(*input,
+                                                                                                          starts, ends, strides,
+                                                                                                          begin_mask, end_mask, shrink_axis_mask);
+    ARM_COMPUTE_RETURN_ERROR_ON(exp_output_shape.total_size() == 0);
+
+    // Checks output if configured
+    if(output->total_size() != 0)
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape() != exp_output_shape);
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
+    }
+
+    return Status{};
+}
+
+std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output,
+                                                        const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
+                                                        int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
+{
+    // Output tensor auto initialization if not yet initialized
+    const TensorShape output_shape = arm_compute::misc::shape_calculator::compute_strided_slice_shape(*input,
+                                                                                                      starts, ends, strides,
+                                                                                                      begin_mask, end_mask, shrink_axis_mask);
+    auto_init_if_empty(*output, input->clone()->set_tensor_shape(output_shape));
+
+    // Create window
+    const unsigned int num_elems_processed_per_iteration = 1;
+
+    Window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration));
+    output->set_valid_region(ValidRegion(Coordinates(), output->tensor_shape()));
+
+    return std::make_pair(Status{}, win);
+}
+} // namespace
+
+CLStridedSliceKernel::CLStridedSliceKernel()
+    : _input(nullptr), _output(nullptr)
+{
+}
+
+void CLStridedSliceKernel::configure(const ICLTensor *input, ICLTensor *output,
+                                     const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
+                                     int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
+{
+    ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+    ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), starts, ends, strides, begin_mask, end_mask, shrink_axis_mask));
+
+    _input  = input;
+    _output = output;
+
+    const TensorShape &input_shape = input->info()->tensor_shape();
+
+    const Coordinates final_strides = arm_compute::helpers::tensor_transform::strided_slice_strides(input_shape, strides);
+    const Coordinates starts_abs    = arm_compute::helpers::tensor_transform::strided_slice_absolute_start_coords(input_shape, starts, final_strides, begin_mask);
+    const Coordinates ends_abs      = arm_compute::helpers::tensor_transform::strided_slice_absolute_end_coords(input_shape, starts_abs, ends, final_strides, end_mask, shrink_axis_mask);
+
+    // Configure kernel window
+    auto win_config = validate_and_configure_window(input->info(), output->info(), starts, ends, strides, begin_mask, end_mask, shrink_axis_mask);
+    ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
+    ICLKernel::configure_internal(win_config.second);
+
+    // Create build options
+    CLBuildOptions build_opts;
+    build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
+    for(unsigned int i = 0; i < input_shape.num_dimensions(); ++i)
+    {
+        build_opts.add_option("-DSTART_" + support::cpp11::to_string(i) + "=" + support::cpp11::to_string(starts_abs[i]));
+        build_opts.add_option("-DSTRIDE_" + support::cpp11::to_string(i) + "=" + support::cpp11::to_string(final_strides[i]));
+    }
+    build_opts.add_option_if_else(input_shape.num_dimensions() > 2,
+                                  "-DSRC_DEPTH=" + support::cpp11::to_string(input_shape.z()),
+                                  "-DSRC_DEPTH=1");
+    build_opts.add_option_if_else(_output->info()->num_dimensions() > 2,
+                                  "-DDST_DEPTH=" + support::cpp11::to_string(_output->info()->tensor_shape().z()),
+                                  "-DDST_DEPTH=1");
+
+    // Create kernel
+    _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("strided_slice", build_opts.options()));
+
+    // Set config_id for enabling LWS tuning
+    _config_id = "strided_slice";
+    _config_id += "_";
+    _config_id += lower_string(string_from_data_type(input->info()->data_type()));
+    for(unsigned int i = 0; i < input_shape.num_dimensions(); ++i)
+    {
+        _config_id += "_";
+        _config_id += support::cpp11::to_string(input->info()->dimension(i));
+        _config_id += "_";
+        _config_id += support::cpp11::to_string(starts_abs[i]);
+        _config_id += "_";
+        _config_id += support::cpp11::to_string(ends_abs[i]);
+        _config_id += "_";
+        _config_id += support::cpp11::to_string(final_strides[i]);
+    }
+}
+
+Status CLStridedSliceKernel::validate(const ITensorInfo *input, const ITensorInfo *output,
+                                      const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
+                                      int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
+{
+    ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask));
+    ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(),
+                                                              starts, ends, strides, begin_mask, end_mask, shrink_axis_mask)
+                                .first);
+
+    return Status{};
+}
+
+void CLStridedSliceKernel::run(const Window &window, cl::CommandQueue &queue)
+{
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
+
+    Window window_collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
+    Window slice            = window_collapsed.first_slice_window_4D();
+
+    do
+    {
+        unsigned int idx = 0;
+        add_4D_tensor_argument(idx, _input, slice);
+        add_4D_tensor_argument(idx, _output, slice);
+        enqueue(queue, *this, slice, lws_hint());
+    }
+    while(window_collapsed.slide_window_slice_4D(slice));
+}
+} // namespace arm_compute
diff --git a/src/core/utils/helpers/tensor_transform.cpp b/src/core/utils/helpers/tensor_transform.cpp
new file mode 100644
index 0000000000..5c83a8bdb5
--- /dev/null
+++ b/src/core/utils/helpers/tensor_transform.cpp
@@ -0,0 +1,142 @@
+/*
+ * 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/utils/helpers/tensor_transform.h"
+
+namespace arm_compute
+{
+namespace helpers
+{
+namespace tensor_transform
+{
+Coordinates strided_slice_absolute_start_coords(TensorShape input_shape, Coordinates starts, Coordinates strides, int32_t begin_mask)
+{
+    Coordinates starts_abs;
+    for(unsigned int i = 0; i < starts.num_dimensions(); ++i)
+    {
+        // Get start index
+        int start_i = starts[i];
+
+        // Reset in case of begin mask present
+        if((begin_mask & 1 << i) != 0)
+        {
+            start_i = strides[i] > 0 ? std::numeric_limits<int>::lowest() : std::numeric_limits<int>::max();
+        }
+
+        // Account negative start points
+        const int dim_size = input_shape[i];
+        if(start_i < 0)
+        {
+            start_i += dim_size;
+        }
+
+        // Final clamp
+        start_i = utility::clamp(start_i, 0, dim_size - 1);
+        starts_abs.set(i, start_i);
+    }
+
+    // Fill remaining
+    for(unsigned int i = starts_abs.num_dimensions(); i < input_shape.num_dimensions(); ++i)
+    {
+        starts_abs.set(i, 0);
+    }
+
+    return starts_abs;
+}
+
+Coordinates strided_slice_absolute_end_coords(TensorShape input_shape, Coordinates starts_abs, Coordinates ends, Coordinates strides,
+                                              int32_t end_mask, int32_t shrink_axis_mask)
+{
+    Coordinates ends_abs;
+    for(unsigned int i = 0; i < ends.num_dimensions(); ++i)
+    {
+        // Get end index
+        int stop_i = ends[i];
+
+        // Shrink dimension
+        if((shrink_axis_mask & (1 << i)) != 0)
+        {
+            stop_i = starts_abs[i] + 1;
+        }
+
+        // Reset in case of begin mask present
+        if((end_mask & 1 << i) != 0)
+        {
+            stop_i = (strides[i] > 0) ? std::numeric_limits<int>::max() : std::numeric_limits<int>::lowest();
+        }
+
+        // Account negative end points
+        const int dim_size = input_shape[i];
+        if(stop_i < 0)
+        {
+            stop_i += dim_size;
+        }
+
+        // Final clamp
+        stop_i = (strides[i] > 0) ? utility::clamp(stop_i, 0, dim_size) : utility::clamp(stop_i, -1, dim_size - 1);
+        ends_abs.set(i, stop_i);
+    }
+
+    // Fill remaining ends
+    for(unsigned int i = ends_abs.num_dimensions(); i < input_shape.num_dimensions(); ++i)
+    {
+        ends_abs.set(i, input_shape[i]);
+    }
+
+    return ends_abs;
+}
+
+Coordinates strided_slice_strides(TensorShape input_shape, Coordinates strides)
+{
+    for(unsigned int i = strides.num_dimensions(); i < input_shape.num_dimensions(); ++i)
+    {
+        strides.set(i, 1);
+    }
+    return strides;
+}
+
+TensorShape compute_strided_slice_output_shape(TensorShape input_shape, Coordinates starts_abs, Coordinates ends_abs, Coordinates final_strides)
+{
+    TensorShape output_shape = input_shape;
+    for(unsigned int i = 0; i < input_shape.num_dimensions(); ++i)
+    {
+        const int stride_i = final_strides[i];
+        const int range    = ends_abs[i] - starts_abs[i];
+        if((range == 0) ||                 // Zero range
+           (range < 0 && stride_i >= 0) || // Negative range with positive stride
+           (range > 0 && stride_i <= 0))   // Positive range with negative stride
+        {
+            output_shape.set(i, 0);
+            return output_shape;
+        }
+        else
+        {
+            int dim = range / stride_i + (range % stride_i != 0 ? 1 : 0);
+            output_shape.set(i, dim);
+        }
+    }
+    return output_shape;
+}
+} // namespace tensor_transform
+} // namespace helpers
+} // namespace arm_compute
diff --git a/src/runtime/CL/functions/CLStridedSlice.cpp b/src/runtime/CL/functions/CLStridedSlice.cpp
new file mode 100644
index 0000000000..e34f653652
--- /dev/null
+++ b/src/runtime/CL/functions/CLStridedSlice.cpp
@@ -0,0 +1,47 @@
+/*
+ * 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/CLStridedSlice.h"
+
+#include "arm_compute/core/CL/kernels/CLStridedSliceKernel.h"
+#include "arm_compute/core/Types.h"
+#include "support/ToolchainSupport.h"
+
+namespace arm_compute
+{
+void CLStridedSlice::configure(const ICLTensor *input, ICLTensor *output,
+                               const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
+                               int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
+{
+    auto k = arm_compute::support::cpp14::make_unique<CLStridedSliceKernel>();
+    k->configure(input, output, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask);
+    _kernel = std::move(k);
+}
+
+Status CLStridedSlice::validate(const ITensorInfo *input, const ITensorInfo *output,
+                                const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
+                                int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
+{
+    return CLStridedSliceKernel::validate(input, output, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask);
+}
+} // namespace arm_compute