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Diffstat (limited to 'arm_compute/graph/backends/FunctionHelpers.h')
| -rw-r--r-- | arm_compute/graph/backends/FunctionHelpers.h | 49 |
1 files changed, 49 insertions, 0 deletions
diff --git a/arm_compute/graph/backends/FunctionHelpers.h b/arm_compute/graph/backends/FunctionHelpers.h index 548afd27c5..7242bc6ede 100644 --- a/arm_compute/graph/backends/FunctionHelpers.h +++ b/arm_compute/graph/backends/FunctionHelpers.h @@ -688,6 +688,55 @@ std::unique_ptr<IFunction> create_fully_connected_layer(FullyConnectedLayerNode return std::move(func); } +/** Create a backend generate proposals layer function + * + * @tparam GenerateProposalsLayerFunction Backend generate proposals function + * @tparam TargetInfo Target-specific information + * + * @param[in] node Node to create the backend function for + * @param[in] ctx Graph context + * + * @return Backend generate proposals layer function + */ +template <typename GenerateProposalsLayerFunction, typename TargetInfo> +std::unique_ptr<IFunction> create_generate_proposals_layer(GenerateProposalsLayerNode &node, GraphContext &ctx) +{ + validate_node<TargetInfo>(node, 3 /* expected inputs */, 3 /* expected outputs */); + + // Extract IO and info + typename TargetInfo::TensorType *scores = get_backing_tensor<TargetInfo>(node.input(0)); + typename TargetInfo::TensorType *deltas = get_backing_tensor<TargetInfo>(node.input(1)); + typename TargetInfo::TensorType *anchors = get_backing_tensor<TargetInfo>(node.input(2)); + typename TargetInfo::TensorType *proposals = get_backing_tensor<TargetInfo>(node.output(0)); + typename TargetInfo::TensorType *scores_out = get_backing_tensor<TargetInfo>(node.output(1)); + typename TargetInfo::TensorType *num_valid_proposals = get_backing_tensor<TargetInfo>(node.output(2)); + const GenerateProposalsInfo info = node.info(); + + ARM_COMPUTE_ERROR_ON(scores == nullptr); + ARM_COMPUTE_ERROR_ON(deltas == nullptr); + ARM_COMPUTE_ERROR_ON(anchors == nullptr); + ARM_COMPUTE_ERROR_ON(proposals == nullptr); + ARM_COMPUTE_ERROR_ON(scores_out == nullptr); + + // Create and configure function + auto func = support::cpp14::make_unique<GenerateProposalsLayerFunction>(get_memory_manager(ctx, TargetInfo::TargetType)); + func->configure(scores, deltas, anchors, proposals, scores_out, num_valid_proposals, info); + + // Log info + ARM_COMPUTE_LOG_GRAPH_INFO("Instantiated " << node.type() + << " Target " << TargetInfo::TargetType + << " Data Type: " << scores->info()->data_type() + << " Scores shape: " << scores->info()->tensor_shape() + << " Deltas shape: " << deltas->info()->tensor_shape() + << " Anchors shape: " << anchors->info()->tensor_shape() + << " Proposals shape: " << proposals->info()->tensor_shape() + << " Num valid proposals shape: " << num_valid_proposals->info()->tensor_shape() + << " Scores Out shape: " << scores_out->info()->tensor_shape() + << std::endl); + + return std::move(func); +} + /** Create a backend normalization layer function * * @tparam NormalizationLayerFunction Backend normalization function |