/* * Copyright (c) 2018-2019 ARM Limited. * * SPDX-License-Identifier: MIT * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to * deal in the Software without restriction, including without limitation the * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or * sell copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in all * copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ #ifndef __ARM_COMPUTE_GRAPH_UTILS_H__ #define __ARM_COMPUTE_GRAPH_UTILS_H__ #include "arm_compute/graph/Graph.h" #include "arm_compute/graph/PassManager.h" namespace arm_compute { namespace graph { // Forward Declaration class GraphContext; /** Returns the tensor descriptor of a given tensor * * @param[in] g Graph that the tensor belongs to * @param[in] tid Tensor ID * * @return Tensor descriptor if tensor was found else empty descriptor */ inline TensorDescriptor get_tensor_descriptor(const Graph &g, TensorID tid) { const Tensor *tensor = g.tensor(tid); return (tensor != nullptr) ? tensor->desc() : TensorDescriptor(); } /** Sets an accessor on a given tensor * * @param[in] tensor Tensor to set the accessor to * @param[in] accessor Accessor to set * * @return True if accessor was set else false */ inline Status set_tensor_accessor(Tensor *tensor, std::unique_ptr accessor) { ARM_COMPUTE_RETURN_ERROR_ON(tensor == nullptr); tensor->set_accessor(std::move(accessor)); return Status{}; } /** Checks if a specific target is supported * * @param[in] target Target to check * * @return True if target is support else false */ bool is_target_supported(Target target); /** Returns default target for execution * * @note If an OpenCL backend exists then OpenCL is returned, * else if the NEON backend exists returns NEON as target. * If no backends are registered an error is raised. * * @return Default target */ Target get_default_target(); /** Forces a single target to all graph constructs * * @param[in] g Graph to force target on * @param[in] target Target to force */ void force_target_to_graph(Graph &g, Target target); /** Creates a default @ref PassManager * * @param[in] target Target to create the pass manager for * * @return A PassManager with default mutating passes */ PassManager create_default_pass_manager(Target target); /** Setups requested backend context if it exists, is supported and hasn't been initialized already. * * @param[in,out] ctx Graph Context. * @param[in] target Target to setup the backend for. */ void setup_requested_backend_context(GraphContext &ctx, Target target); /** Default releases the graph context if not done manually * * @param[in,out] ctx Graph Context */ void release_default_graph_context(GraphContext &ctx); /** Get size of a tensor's given dimension depending on its layout * * @param[in] descriptor Descriptor * @param[in] data_layout_dimension Tensor data layout dimension * * @return Size of requested dimension */ size_t get_dimension_size(const TensorDescriptor &descriptor, const DataLayoutDimension data_layout_dimension); /** Get index of a tensor's given dimension depending on its layout * * @param[in] data_layout Data layout of the tensor * @param[in] data_layout_dimension Tensor data layout dimension * * @return Idx of given dimension */ size_t get_dimension_idx(DataLayout data_layout, const DataLayoutDimension data_layout_dimension); /** Get the list of driving nodes of a given node * * @param[in] node Node to find the driving node of * * @return A list with the driving node of a given node */ std::vector get_driving_nodes(const INode &node); /** Configures tensor * * @param[in, out] tensor Tensor to configure */ void configure_tensor(Tensor *tensor); } // namespace graph } // namespace arm_compute #endif /* __ARM_COMPUTE_GRAPH_UTILS_H__ */