diff options
Diffstat (limited to 'arm_compute/graph/backends/FunctionHelpers.h')
| -rw-r--r-- | arm_compute/graph/backends/FunctionHelpers.h | 44 |
1 files changed, 44 insertions, 0 deletions
diff --git a/arm_compute/graph/backends/FunctionHelpers.h b/arm_compute/graph/backends/FunctionHelpers.h index d8873c0363..e8395e4e92 100644 --- a/arm_compute/graph/backends/FunctionHelpers.h +++ b/arm_compute/graph/backends/FunctionHelpers.h @@ -1478,6 +1478,50 @@ std::unique_ptr<IFunction> create_quantization_layer(QuantizationLayerNode &node return RETURN_UNIQUE_PTR(func); } +/** Create a backend reduction operation layer function + * + * @tparam ReductionOperationFunction Backend reduction operation function + * @tparam TargetInfo Target-specific information + * + * @param[in] node Node to create the backend function for + * @param[in] ctx Graph context + * + * @return Backend reduction sum layer function + */ +template <typename ReductionOperationFunction, typename TargetInfo> +std::unique_ptr<IFunction> create_reduction_operation_layer(ReductionLayerNode &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)); + ReductionOperation op = node.op(); + int axis = node.axis(); + bool keep_dims = node.keep_dims(); + ARM_COMPUTE_ERROR_ON(input == nullptr); + ARM_COMPUTE_ERROR_ON(output == nullptr); + + // Create and configure function + auto func = support::cpp14::make_unique<ReductionOperationFunction>(get_memory_manager(ctx, TargetInfo::TargetType)); + func->configure(input, output, axis, op, keep_dims); + + // 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() + << " Operation: " << op + << " Axis: " << axis + << " Keep dimensions:" << keep_dims + << std::endl); + + return RETURN_UNIQUE_PTR(func); +} + /** Create a backend reorg layer function * * @tparam ReorgLayerFunction Backend reorg function |