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/*
* Copyright (c) 2018-2020 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;
inline bool is_utility_node(INode *node)
{
std::set<NodeType> utility_node_types = { NodeType::PrintLayer };
return utility_node_types.find(node->type()) != utility_node_types.end();
}
/** 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<ITensorAccessor> 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
* @param[in] cfg Graph configuration meta-data
*
* @return A PassManager with default mutating passes
*/
PassManager create_default_pass_manager(Target target, const GraphConfig &cfg);
/** 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<NodeIdxPair> 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 */
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