diff options
Diffstat (limited to 'arm_compute/graph/backends/FunctionHelpers.h')
| -rw-r--r-- | arm_compute/graph/backends/FunctionHelpers.h | 51 |
1 files changed, 1 insertions, 50 deletions
diff --git a/arm_compute/graph/backends/FunctionHelpers.h b/arm_compute/graph/backends/FunctionHelpers.h index 96adffee46..548afd27c5 100644 --- a/arm_compute/graph/backends/FunctionHelpers.h +++ b/arm_compute/graph/backends/FunctionHelpers.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018 ARM Limited. + * Copyright (c) 2018-2019 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -688,55 +688,6 @@ 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 |