diff options
Diffstat (limited to 'arm_compute/graph/backends')
-rw-r--r-- | arm_compute/graph/backends/FunctionHelpers.h | 43 | ||||
-rw-r--r-- | arm_compute/graph/backends/ValidateHelpers.h | 25 |
2 files changed, 68 insertions, 0 deletions
diff --git a/arm_compute/graph/backends/FunctionHelpers.h b/arm_compute/graph/backends/FunctionHelpers.h index 082d43afdb..e556e2f284 100644 --- a/arm_compute/graph/backends/FunctionHelpers.h +++ b/arm_compute/graph/backends/FunctionHelpers.h @@ -966,6 +966,49 @@ std::unique_ptr<IFunction> create_resize_layer(ResizeLayerNode &node) return std::move(func); } +/** Create a backend ROI align layer function + * + * @tparam ROIAlignLayerFunction ROI Align function + * @tparam TargetInfo Target-specific information + * + * @param[in] node Node to create the backend function for + * + * @return ROI Align layer function + */ +template <typename ROIAlignLayerFunction, typename TargetInfo> +std::unique_ptr<IFunction> create_roi_align_layer(ROIAlignLayerNode &node) +{ + validate_node<TargetInfo>(node, 2 /* expected inputs */, 1 /* expected outputs */); + + // Extract IO and info + typename TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0)); + typename TargetInfo::TensorType *rois = get_backing_tensor<TargetInfo>(node.input(1)); + typename TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0)); + ARM_COMPUTE_ERROR_ON(input == nullptr); + ARM_COMPUTE_ERROR_ON(output == nullptr); + ARM_COMPUTE_ERROR_ON(rois == nullptr); + + const ROIPoolingLayerInfo pool_info = node.pooling_info(); + + // Create and configure function + auto func = support::cpp14::make_unique<ROIAlignLayerFunction>(); + + func->configure(input, rois, output, pool_info); + + // Log info + ARM_COMPUTE_LOG_GRAPH_INFO("Instantiated " << node.type() + << " Target " << TargetInfo::TargetType + << " Data Type: " << input->info()->data_type() + << " Input shape: " << input->info()->tensor_shape() + << " Output shape: " << output->info()->tensor_shape() + << " ROIs shape: " << rois->info()->tensor_shape() + << " ROIPooling width: " << pool_info.pooled_width() + << " ROIPooling height: " << pool_info.pooled_height() + << std::endl); + + return std::move(func); +} + /** Create a backend slice layer function * * @tparam SliceLayerFunction Backend slice function diff --git a/arm_compute/graph/backends/ValidateHelpers.h b/arm_compute/graph/backends/ValidateHelpers.h index 169c795fb4..7c31a80967 100644 --- a/arm_compute/graph/backends/ValidateHelpers.h +++ b/arm_compute/graph/backends/ValidateHelpers.h @@ -324,6 +324,31 @@ Status validate_reorg_layer(ReorgLayerNode &node) return ReorgLayer::validate(input, output, node.stride()); } +/** Validates a ROI Align layer node + * + * @tparam ROIAlignLayer ROIAlign layer type + * + * @param[in] node Node to validate + * + * @return Status + */ +template <typename ROIAlignLayer> +Status validate_roi_align_layer(ROIAlignLayerNode &node) +{ + ARM_COMPUTE_LOG_GRAPH_VERBOSE("Validating ROIAlignLayer node with ID : " << node.id() << " and Name: " << node.name() << std::endl); + ARM_COMPUTE_RETURN_ERROR_ON(node.num_inputs() != 2); + ARM_COMPUTE_RETURN_ERROR_ON(node.num_outputs() != 1); + + // Extract input and output + arm_compute::ITensorInfo *input = detail::get_backing_tensor_info(node.input(0)); + arm_compute::ITensorInfo *rois = detail::get_backing_tensor_info(node.input(1)); + arm_compute::ITensorInfo *output = detail::get_backing_tensor_info(node.output(0)); + const ROIPoolingLayerInfo &pool_info = node.pooling_info(); + + // Validate function + return ROIAlignLayer::validate(input, rois, output, pool_info); +} + /** Validates a Slice layer node * * @tparam SliceLayer Slice layer function type |