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-rw-r--r--arm_compute/graph/backends/FunctionHelpers.h35
1 files changed, 35 insertions, 0 deletions
diff --git a/arm_compute/graph/backends/FunctionHelpers.h b/arm_compute/graph/backends/FunctionHelpers.h
index bf458ae33f..b1446ea493 100644
--- a/arm_compute/graph/backends/FunctionHelpers.h
+++ b/arm_compute/graph/backends/FunctionHelpers.h
@@ -695,6 +695,41 @@ std::unique_ptr<IFunction> create_pooling_layer(PoolingLayerNode &node)
return std::move(func);
}
+/** Create a backend reorg layer function
+ *
+ * @tparam ReorgLayerFunction Backend reshape function
+ * @tparam TargetInfo Target-specific information
+ *
+ * @param[in] node Node to create the backend function for
+ *
+ * @return Backend reshape layer function
+ */
+template <typename ReorgLayerFunction, typename TargetInfo>
+std::unique_ptr<IFunction> create_reorg_layer(ReorgLayerNode &node)
+{
+ validate_node<TargetInfo>(node, 1 /* expected inputs */, 1 /* expected outputs */);
+
+ // Extract IO and info
+ typename TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));
+ typename TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0));
+ ARM_COMPUTE_ERROR_ON(input == nullptr);
+ ARM_COMPUTE_ERROR_ON(output == nullptr);
+
+ // Create and configure function
+ auto func = support::cpp14::make_unique<ReorgLayerFunction>();
+ func->configure(input, output, node.stride());
+
+ // Log info
+ ARM_COMPUTE_LOG_GRAPH_INFO("Instantiated " << node.type()
+ << " Target " << TargetInfo::TargetType
+ << " Data Type: " << input->info()->data_type()
+ << " Input shape: " << input->info()->tensor_shape()
+ << " Output shape: " << output->info()->tensor_shape()
+ << std::endl);
+
+ return std::move(func);
+}
+
/** Create a backend reshape layer function
*
* @tparam ReshapeLayerFunction Backend reshape function