COMPMID-1638 - Add BBoxTransform to the graph API
Change-Id: I67cbbce59d61d907fc4dc4c3997e96b347dfe895
diff --git a/arm_compute/graph/backends/FunctionHelpers.h b/arm_compute/graph/backends/FunctionHelpers.h
index 1968ec3..d235fe9 100644
--- a/arm_compute/graph/backends/FunctionHelpers.h
+++ b/arm_compute/graph/backends/FunctionHelpers.h
@@ -159,6 +159,42 @@
return std::move(func);
}
+/** Create a backend bounding box transform layer function
+ *
+ * @tparam BoundingBoxTransformLayerFunction Backend bounding box transform function
+ * @tparam TargetInfo Target-specific information
+ *
+ * @param[in] node Node to create the backend function for
+ *
+ * @return Backend bounding box transform layer function
+ */
+template <typename BoundingBoxTransformLayerFunction, typename TargetInfo>
+std::unique_ptr<IFunction> create_bounding_box_transform_layer(BoundingBoxTransformLayerNode &node)
+{
+ validate_node<TargetInfo>(node, 2 /* expected inputs */, 1 /* expected outputs */);
+
+ // Extract IO and info
+ typename TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));
+ typename TargetInfo::TensorType *deltas = get_backing_tensor<TargetInfo>(node.input(1));
+ typename TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));
+ const BoundingBoxTransformInfo bbox_info = node.info();
+
+ // Create and configure function
+ auto func = support::cpp14::make_unique<BoundingBoxTransformLayerFunction>();
+ func->configure(input, output, deltas, bbox_info);
+
+ // Log info
+ ARM_COMPUTE_LOG_GRAPH_INFO("Instantiated " << node.type()
+ << " Target " << TargetInfo::TargetType
+ << " Data Type: " << input->info()->data_type()
+ << " Shape: " << input->info()->tensor_shape()
+ << " BoundingBox Info img W: " << bbox_info.img_width() << " "
+ << " BoundingBox Info img H: " << bbox_info.img_height() << " "
+ << std::endl);
+
+ return std::move(func);
+}
+
/** Create a backend channel shuffle layer function
*
* @tparam ChannelShuffleLayerFunction Backend channel shuffle function