2 files changed, 60 insertions, 0 deletions
diff --git a/arm_compute/graph/backends/FunctionHelpers.h b/arm_compute/graph/backends/FunctionHelpers.h
index 1968ec3923..d235fe9f6f 100644
--- a/arm_compute/graph/backends/FunctionHelpers.h
+++ b/arm_compute/graph/backends/FunctionHelpers.h
@@ -159,6 +159,42 @@ std::unique_ptr<IFunction> create_batch_normalization_layer(BatchNormalizationLa
     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
diff --git a/arm_compute/graph/backends/ValidateHelpers.h b/arm_compute/graph/backends/ValidateHelpers.h
index b0395da0bc..999ce190ab 100644
--- a/arm_compute/graph/backends/ValidateHelpers.h
+++ b/arm_compute/graph/backends/ValidateHelpers.h
@@ -52,6 +52,30 @@ inline arm_compute::ITensorInfo *get_backing_tensor_info(arm_compute::graph::Ten
     return ((tensor == nullptr) || (tensor->handle() == nullptr)) ? nullptr : tensor->handle()->tensor().info();
 }
 
+/** Validates a Bounding Box Transform layer node
+ *
+ * @tparam BoundingBoxTransformLayer  Bounding Box Transform layer function type
+ *
+ * @param[in] node Node to validate
+ *
+ * @return Status
+ */
+template <typename BoundingBoxTransformLayer>
+Status validate_bounding_box_transform_layer(BoundingBoxTransformLayerNode &node)
+{
+    ARM_COMPUTE_LOG_GRAPH_VERBOSE("Validating BoundingBoxTransformLayer node with ID : " << node.id() << " and Name: " << node.name() << std::endl);
+    ARM_COMPUTE_RETURN_ERROR_ON(node.num_inputs() != 2);
+    ARM_COMPUTE_RETURN_ERROR_ON(node.num_outputs() != 1);
+
+    // Extract IO and info
+    arm_compute::ITensorInfo      *input     = get_backing_tensor_info(node.input(0));
+    arm_compute::ITensorInfo      *deltas    = get_backing_tensor_info(node.input(1));
+    arm_compute::ITensorInfo      *output    = get_backing_tensor_info(node.output(0));
+    const BoundingBoxTransformInfo bbox_info = node.info();
+
+    return BoundingBoxTransformLayer::validate(input, output, deltas, bbox_info);
+}
+
 /** Validates a Channel Shuffle layer node
  *
  * @tparam ChannelShuffleLayer  Channel Shuffle layer function type