diff options
Diffstat (limited to 'arm_compute/graph/backends')
-rw-r--r-- | arm_compute/graph/backends/FunctionHelpers.h | 44 | ||||
-rw-r--r-- | arm_compute/graph/backends/ValidateHelpers.h | 25 |
2 files changed, 69 insertions, 0 deletions
diff --git a/arm_compute/graph/backends/FunctionHelpers.h b/arm_compute/graph/backends/FunctionHelpers.h index 05695fb797..d8873c0363 100644 --- a/arm_compute/graph/backends/FunctionHelpers.h +++ b/arm_compute/graph/backends/FunctionHelpers.h @@ -1089,6 +1089,50 @@ std::unique_ptr<IFunction> create_generate_proposals_layer(GenerateProposalsLaye return RETURN_UNIQUE_PTR(func); } +/** Create a backend l2 normalization layer function + * + * @tparam NormalizationLayerFunction Backend normalization function + * @tparam TargetInfo Target-specific information + * + * @param[in] node Node to create the backend function for + * @param[in] ctx Graph context + * + * @return Backend normalization layer function + */ +template <typename L2NormalizeLayerFunction, typename TargetInfo> +std::unique_ptr<IFunction> create_l2_normalize_layer(L2NormalizeLayerNode &node, GraphContext &ctx) +{ + validate_node<TargetInfo>(node, 1 /* expected inputs */, 1 /* expected outputs */); + + // Extract IO and info + typename TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0)); + typename TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0)); + int axis = node.axis(); + float epsilon = node.epsilon(); + + ARM_COMPUTE_ERROR_ON(input == nullptr); + ARM_COMPUTE_ERROR_ON(output == nullptr); + + // Create and configure function + auto mm = get_memory_manager(ctx, TargetInfo::TargetType); + auto func = support::cpp14::make_unique<L2NormalizeLayerFunction>(mm); + func->configure(input, output, axis, epsilon); + + // Log info + ARM_COMPUTE_LOG_GRAPH_INFO("Instantiated " + << node.name() + << " Type: " << node.type() + << " Target: " << TargetInfo::TargetType + << " Data Type: " << input->info()->data_type() + << " Input shape: " << input->info()->tensor_shape() + << " Output shape: " << output->info()->tensor_shape() + << " Axis: " << axis + << " Epsilon: " << epsilon + << std::endl); + + return RETURN_UNIQUE_PTR(func); +} + /** Create a backend normalization layer function * * @tparam NormalizationLayerFunction Backend normalization function diff --git a/arm_compute/graph/backends/ValidateHelpers.h b/arm_compute/graph/backends/ValidateHelpers.h index 23f6cc5627..1d5fd92838 100644 --- a/arm_compute/graph/backends/ValidateHelpers.h +++ b/arm_compute/graph/backends/ValidateHelpers.h @@ -343,6 +343,31 @@ Status validate_generate_proposals_layer(GenerateProposalsLayerNode &node) return GenerateProposalsLayer::validate(scores, deltas, anchors, proposals, scores_out, num_valid_proposals, info); } +/** Validates a L2Normalization layer node + * + * @tparam L2Normalization layer type + * + * @param[in] node Node to validate + * + * @return Status + */ +template <typename L2NormalizeLayer> +Status validate_l2_normalize_layer(L2NormalizeLayerNode &node) +{ + ARM_COMPUTE_LOG_GRAPH_VERBOSE("Validating L2NormalizeLayerNode node with ID : " << node.id() << " and Name: " << node.name() << std::endl); + ARM_COMPUTE_RETURN_ERROR_ON(node.num_inputs() != 1); + ARM_COMPUTE_RETURN_ERROR_ON(node.num_outputs() != 1); + + // Extract IO and info + arm_compute::ITensorInfo *input = detail::get_backing_tensor_info(node.input(0)); + arm_compute::ITensorInfo *output = get_backing_tensor_info(node.output(0)); + int axis = node.axis(); + float epsilon = node.epsilon(); + + // Validate function + return L2NormalizeLayer::validate(input, output, axis, epsilon); +} + /** Validates a NormalizePlanarYUV layer node * * @tparam NormalizePlanarYUVLayer layer type |