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diff --git a/src/core/CL/kernels/CLGenerateProposalsLayerKernel.cpp b/src/core/CL/kernels/CLGenerateProposalsLayerKernel.cpp
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+/*
+ * Copyright (c) 2019 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/CLGenerateProposalsLayerKernel.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/CLValidate.h"
+#include "arm_compute/core/CL/ICLArray.h"
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "arm_compute/core/CL/OpenCL.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Utils.h"
+#include "arm_compute/core/Window.h"
+
+namespace arm_compute
+{
+namespace
+{
+Status validate_arguments(const ITensorInfo *anchors, const ITensorInfo *all_anchors, const ComputeAnchorsInfo &info)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(anchors, all_anchors);
+ ARM_COMPUTE_RETURN_ERROR_ON(anchors->dimension(0) != info.values_per_roi());
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(anchors, DataType::F16, DataType::F32);
+ ARM_COMPUTE_RETURN_ERROR_ON(anchors->num_dimensions() > 2);
+ if(all_anchors->total_size() > 0)
+ {
+ size_t feature_height = info.feat_height();
+ size_t feature_width = info.feat_width();
+ size_t num_anchors = anchors->dimension(1);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(all_anchors, anchors);
+ ARM_COMPUTE_RETURN_ERROR_ON(all_anchors->num_dimensions() > 2);
+ ARM_COMPUTE_RETURN_ERROR_ON(all_anchors->dimension(0) != info.values_per_roi());
+ ARM_COMPUTE_RETURN_ERROR_ON(all_anchors->dimension(1) != feature_height * feature_width * num_anchors);
+ }
+ return Status{};
+}
+} // namespace
+
+CLComputeAllAnchorsKernel::CLComputeAllAnchorsKernel()
+ : _anchors(nullptr), _all_anchors(nullptr)
+{
+}
+
+void CLComputeAllAnchorsKernel::configure(const ICLTensor *anchors, ICLTensor *all_anchors, const ComputeAnchorsInfo &info)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(anchors, all_anchors);
+ ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(anchors->info(), all_anchors->info(), info));
+
+ // Metadata
+ const size_t num_anchors = anchors->info()->dimension(1);
+ const DataType data_type = anchors->info()->data_type();
+ const float width = info.feat_width();
+ const float height = info.feat_height();
+
+ // Initialize the output if empty
+ const TensorShape output_shape(info.values_per_roi(), width * height * num_anchors);
+ auto_init_if_empty(*all_anchors->info(), output_shape, 1, data_type);
+
+ // Set instance variables
+ _anchors = anchors;
+ _all_anchors = all_anchors;
+
+ // Set build options
+ CLBuildOptions build_opts;
+ build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(data_type));
+ build_opts.add_option("-DWIDTH=" + float_to_string_with_full_precision(width));
+ build_opts.add_option("-DHEIGHT=" + float_to_string_with_full_precision(height));
+ build_opts.add_option("-DSTRIDE=" + float_to_string_with_full_precision(1.f / info.spatial_scale()));
+ build_opts.add_option("-DNUM_ANCHORS=" + support::cpp11::to_string(num_anchors));
+ build_opts.add_option("-DNUM_ROI_FIELDS=" + support::cpp11::to_string(info.values_per_roi()));
+
+ // Create kernel
+ _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("generate_proposals_compute_all_anchors", build_opts.options()));
+
+ // The tensor all_anchors can be interpreted as an array of structs (each structs has values_per_roi fields).
+ // This means we don't need to pad on the X dimension, as we know in advance how many fields
+ // compose the struct.
+ Window win = calculate_max_window(*all_anchors->info(), Steps(info.values_per_roi()));
+ ICLKernel::configure_internal(win);
+}
+
+Status CLComputeAllAnchorsKernel::validate(const ITensorInfo *anchors, const ITensorInfo *all_anchors, const ComputeAnchorsInfo &info)
+{
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(anchors, all_anchors, info));
+ return Status{};
+}
+
+void CLComputeAllAnchorsKernel::run(const Window &window, cl::CommandQueue &queue)
+{
+ ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+ ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
+
+ // Collapse everything on the first dimension
+ Window collapsed = window.collapse(ICLKernel::window(), Window::DimX);
+
+ // Set arguments
+ unsigned int idx = 0;
+ add_1D_tensor_argument(idx, _anchors, collapsed);
+ add_1D_tensor_argument(idx, _all_anchors, collapsed);
+
+ // Note that we don't need to loop over the slices, as we are launching exactly
+ // as many threads as all the anchors generated
+ enqueue(queue, *this, collapsed);
+}
+} // namespace arm_compute