diff options
Diffstat (limited to 'arm_compute/graph/backends/FunctionHelpers.h')
| -rw-r--r-- | arm_compute/graph/backends/FunctionHelpers.h | 56 |
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 |