From 7234ed8c3d07c76963eb3bce9530994421ad7e67 Mon Sep 17 00:00:00 2001 From: Isabella Gottardi Date: Tue, 27 Nov 2018 08:51:10 +0000 Subject: COMPMID-1808: Add Detection Output Layer to the GraphAPI COMPMID-1710: Integrate Detection ouput in MobilenetSSD graph example Change-Id: I384d1eb492ef14ece58f2023ad7bbc16f834450b Reviewed-on: https://review.mlplatform.org/356 Tested-by: Arm Jenkins Reviewed-by: Pablo Marquez Reviewed-by: Georgios Pinitas --- arm_compute/graph/backends/FunctionHelpers.h | 45 ++++++++++++++++++++++++++++ 1 file changed, 45 insertions(+) (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 3e71e3922a..96adffee46 100644 --- a/arm_compute/graph/backends/FunctionHelpers.h +++ b/arm_compute/graph/backends/FunctionHelpers.h @@ -489,6 +489,51 @@ std::unique_ptr create_depthwise_convolution_layer(DepthwiseConvoluti return func; } +/** Create a backend detection output layer function + * + * @tparam DetectionOutputLayer Function Backend detection output function + * @tparam TargetInfo Target-specific information + * + * @param[in] node Node to create the backend function for + * + * @return Backend detection output layer function + */ +template +std::unique_ptr create_detection_output_layer(DetectionOutputLayerNode &node) +{ + validate_node(node, 3 /* expected inputs */, 1 /* expected outputs */); + + // Extract IO and info + typename TargetInfo::TensorType *input0 = get_backing_tensor(node.input(0)); + typename TargetInfo::TensorType *input1 = get_backing_tensor(node.input(1)); + typename TargetInfo::TensorType *input2 = get_backing_tensor(node.input(2)); + typename TargetInfo::TensorType *output = get_backing_tensor(node.output(0)); + const DetectionOutputLayerInfo detect_info = node.detection_output_info(); + + ARM_COMPUTE_ERROR_ON(input0 == nullptr); + ARM_COMPUTE_ERROR_ON(input1 == nullptr); + ARM_COMPUTE_ERROR_ON(input2 == nullptr); + ARM_COMPUTE_ERROR_ON(output == nullptr); + + // Create and configure function + auto func = support::cpp14::make_unique(); + func->configure(input0, input1, input2, output, 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() + << " Output shape: " << output->info()->tensor_shape() + << " DetectionOutputLayer info: " << detect_info + << std::endl); + + return std::move(func); +} /** Create a backend element-wise operation layer function * * @tparam EltwiseFunctions Backend element-wise function -- cgit v1.2.1