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>
diff --git a/src/core/CL/CLKernelLibrary.cpp b/src/core/CL/CLKernelLibrary.cpp
index 391a0bb..7e8ef6b 100644
--- a/src/core/CL/CLKernelLibrary.cpp
+++ b/src/core/CL/CLKernelLibrary.cpp
@@ -391,6 +391,8 @@
{ "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 @@
#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 0000000..65912f5
--- /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 0000000..ee3fa11
--- /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 0000000..1dad325
--- /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