COMPMID-1849: Implement CPPDetectionPostProcessLayer

* Add DetectionPostProcessLayer
* Add DetectionPostProcessLayer at the graph

Change-Id: I7e56f6cffc26f112d26dfe74853085bb8ec7d849
Signed-off-by: Isabella Gottardi <isabella.gottardi@arm.com>
Reviewed-on: https://review.mlplatform.org/c/1639
Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 56 insertions, 0 deletions

diff --git a/arm_compute/graph/backends/FunctionHelpers.h b/arm_compute/graph/backends/FunctionHelpers.h
index ed5b35c0d1..dd833061a9 100644
--- a/arm_compute/graph/backends/FunctionHelpers.h
+++ b/arm_compute/graph/backends/FunctionHelpers.h
@@ -644,6 +644,62 @@ std::unique_ptr<IFunction> create_detection_output_layer(DetectionOutputLayerNod
 
     return std::move(func);
 }
+
+/** Create a backend detection post process layer function
+ *
+ * @tparam DetectionPostProcessLayerFunction Backend detection output function
+ * @tparam TargetInfo                        Target-specific information
+ *
+ * @param[in] node Node to create the backend function for
+ *
+ * @return Backend detection post process layer function
+ */
+template <typename DetectionPostProcessLayerFunction, typename TargetInfo>
+std::unique_ptr<IFunction> create_detection_post_process_layer(DetectionPostProcessLayerNode &node)
+{
+    validate_node<TargetInfo>(node, 3 /* expected inputs */, 4 /* expected outputs */);
+
+    // Extract IO and info
+    typename TargetInfo::TensorType    *input0      = get_backing_tensor<TargetInfo>(node.input(0));
+    typename TargetInfo::TensorType    *input1      = get_backing_tensor<TargetInfo>(node.input(1));
+    typename TargetInfo::TensorType    *input2      = get_backing_tensor<TargetInfo>(node.input(2));
+    typename TargetInfo::TensorType    *output0     = get_backing_tensor<TargetInfo>(node.output(0));
+    typename TargetInfo::TensorType    *output1     = get_backing_tensor<TargetInfo>(node.output(1));
+    typename TargetInfo::TensorType    *output2     = get_backing_tensor<TargetInfo>(node.output(2));
+    typename TargetInfo::TensorType    *output3     = get_backing_tensor<TargetInfo>(node.output(3));
+    const DetectionPostProcessLayerInfo detect_info = node.detection_post_process_info();
+
+    ARM_COMPUTE_ERROR_ON(input0 == nullptr);
+    ARM_COMPUTE_ERROR_ON(input1 == nullptr);
+    ARM_COMPUTE_ERROR_ON(input2 == nullptr);
+    ARM_COMPUTE_ERROR_ON(output0 == nullptr);
+    ARM_COMPUTE_ERROR_ON(output1 == nullptr);
+    ARM_COMPUTE_ERROR_ON(output2 == nullptr);
+    ARM_COMPUTE_ERROR_ON(output3 == nullptr);
+
+    // Create and configure function
+    auto func = support::cpp14::make_unique<DetectionPostProcessLayerFunction>();
+    func->configure(input0, input1, input2, output0, output1, output2, output3, detect_info);
+
+    // Log info
+    ARM_COMPUTE_LOG_GRAPH_INFO("Instantiated "
+                               << node.name()
+                               << " Type: " << node.type()
+                               << " Target: " << TargetInfo::TargetType
+                               << " Data Type: " << input0->info()->data_type()
+                               << " Input0 shape: " << input0->info()->tensor_shape()
+                               << " Input1 shape: " << input1->info()->tensor_shape()
+                               << " Input2 shape: " << input2->info()->tensor_shape()
+                               << " Output0 shape: " << output0->info()->tensor_shape()
+                               << " Output1 shape: " << output1->info()->tensor_shape()
+                               << " Output2 shape: " << output2->info()->tensor_shape()
+                               << " Output3 shape: " << output3->info()->tensor_shape()
+                               << " DetectionPostProcessLayer info: " << detect_info
+                               << std::endl);
+
+    return std::move(func);
+}
+
 /** Create a backend element-wise operation layer function
  *
  * @tparam EltwiseFunctions Backend element-wise function