From 6e9d0e048b48712f4f72d4b0a5b94a277391a357 Mon Sep 17 00:00:00 2001
From: Giorgio Arena <giorgio.arena@arm.com>
Date: Fri, 3 Jan 2020 15:02:04 +0000
Subject: COMPMID-2856 Add PrintLayer at graph level

Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Change-Id: I8f02bb67adae8cc7d884f2417cc9c408985f0d5a
Reviewed-on: https://review.mlplatform.org/c/2546
Reviewed-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
---
 arm_compute/graph/backends/FunctionHelpers.h | 31 +++++++++++++++++++++++++++-
 1 file changed, 30 insertions(+), 1 deletion(-)

(limited to 'arm_compute/graph/backends/FunctionHelpers.h')

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
-- 
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