COMPMID-1999: Add support for GenerateProposals operator in CL
Change-Id: Ie08a6874347085f96b00f25bdb605eee7d683c25
Signed-off-by: giuros01 <giuseppe.rossini@arm.com>
Reviewed-on: https://review.mlplatform.org/719
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
diff --git a/arm_compute/graph/backends/FunctionHelpers.h b/arm_compute/graph/backends/FunctionHelpers.h
index 548afd2..7242bc6 100644
--- a/arm_compute/graph/backends/FunctionHelpers.h
+++ b/arm_compute/graph/backends/FunctionHelpers.h
@@ -688,6 +688,55 @@
return std::move(func);
}
+/** Create a backend generate proposals layer function
+ *
+ * @tparam GenerateProposalsLayerFunction Backend generate proposals function
+ * @tparam TargetInfo Target-specific information
+ *
+ * @param[in] node Node to create the backend function for
+ * @param[in] ctx Graph context
+ *
+ * @return Backend generate proposals layer function
+ */
+template <typename GenerateProposalsLayerFunction, typename TargetInfo>
+std::unique_ptr<IFunction> create_generate_proposals_layer(GenerateProposalsLayerNode &node, GraphContext &ctx)
+{
+ validate_node<TargetInfo>(node, 3 /* expected inputs */, 3 /* expected outputs */);
+
+ // Extract IO and info
+ typename TargetInfo::TensorType *scores = get_backing_tensor<TargetInfo>(node.input(0));
+ typename TargetInfo::TensorType *deltas = get_backing_tensor<TargetInfo>(node.input(1));
+ typename TargetInfo::TensorType *anchors = get_backing_tensor<TargetInfo>(node.input(2));
+ typename TargetInfo::TensorType *proposals = get_backing_tensor<TargetInfo>(node.output(0));
+ typename TargetInfo::TensorType *scores_out = get_backing_tensor<TargetInfo>(node.output(1));
+ typename TargetInfo::TensorType *num_valid_proposals = get_backing_tensor<TargetInfo>(node.output(2));
+ const GenerateProposalsInfo info = node.info();
+
+ ARM_COMPUTE_ERROR_ON(scores == nullptr);
+ ARM_COMPUTE_ERROR_ON(deltas == nullptr);
+ ARM_COMPUTE_ERROR_ON(anchors == nullptr);
+ ARM_COMPUTE_ERROR_ON(proposals == nullptr);
+ ARM_COMPUTE_ERROR_ON(scores_out == nullptr);
+
+ // Create and configure function
+ auto func = support::cpp14::make_unique<GenerateProposalsLayerFunction>(get_memory_manager(ctx, TargetInfo::TargetType));
+ func->configure(scores, deltas, anchors, proposals, scores_out, num_valid_proposals, info);
+
+ // Log info
+ ARM_COMPUTE_LOG_GRAPH_INFO("Instantiated " << node.type()
+ << " Target " << TargetInfo::TargetType
+ << " Data Type: " << scores->info()->data_type()
+ << " Scores shape: " << scores->info()->tensor_shape()
+ << " Deltas shape: " << deltas->info()->tensor_shape()
+ << " Anchors shape: " << anchors->info()->tensor_shape()
+ << " Proposals shape: " << proposals->info()->tensor_shape()
+ << " Num valid proposals shape: " << num_valid_proposals->info()->tensor_shape()
+ << " Scores Out shape: " << scores_out->info()->tensor_shape()
+ << std::endl);
+
+ return std::move(func);
+}
+
/** Create a backend normalization layer function
*
* @tparam NormalizationLayerFunction Backend normalization function