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Diffstat (limited to 'arm_compute/graph/backends/FunctionHelpers.h')
-rw-r--r--arm_compute/graph/backends/FunctionHelpers.h31
1 files changed, 30 insertions, 1 deletions
diff --git a/arm_compute/graph/backends/FunctionHelpers.h b/arm_compute/graph/backends/FunctionHelpers.h
index a02e323b8d..bf0250c623 100644
--- a/arm_compute/graph/backends/FunctionHelpers.h
+++ b/arm_compute/graph/backends/FunctionHelpers.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 ARM Limited.
+ * Copyright (c) 2018-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -1149,6 +1149,35 @@ std::unique_ptr<IFunction> create_pooling_layer(PoolingLayerNode &node)
return std::move(func);
}
+/** Create a backend print layer function
+ *
+ * @tparam TargetInfo Target-specific information
+ *
+ * @param[in] node Node to create the backend function for
+ *
+ * @return Backend print layer function
+ */
+template <typename TargetInfo>
+std::unique_ptr<IFunction> create_print_layer(PrintLayerNode &node)
+{
+ validate_node<TargetInfo>(node, 1 /* expected inputs */, 1 /* expected outputs */);
+
+ typename TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0));
+ ARM_COMPUTE_ERROR_ON(input == nullptr);
+ ARM_COMPUTE_UNUSED(input);
+
+ // Log info
+ ARM_COMPUTE_LOG_GRAPH_INFO("Instantiated "
+ << node.name()
+ << " Type: " << node.type()
+ << " Target: " << TargetInfo::TargetType
+ << " Data Type: " << input->info()->data_type()
+ << " Input shape: " << input->info()->tensor_shape()
+ << std::endl);
+
+ return nullptr;
+}
+
/** Create a backend priorbox layer function
*
* @tparam PriorBoxLayerFunction Backend priorbox function