141 lines
4.8 KiB
C++
141 lines
4.8 KiB
C++
/*
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* Copyright (c) 2018-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_GRAPH_UTILS_H
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#define ARM_COMPUTE_GRAPH_UTILS_H
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#include "arm_compute/graph/Graph.h"
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#include "arm_compute/graph/PassManager.h"
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namespace arm_compute
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{
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namespace graph
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{
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// Forward Declaration
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class GraphContext;
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inline bool is_utility_node(INode *node)
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{
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std::set<NodeType> utility_node_types = { NodeType::PrintLayer };
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return utility_node_types.find(node->type()) != utility_node_types.end();
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}
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/** Returns the tensor descriptor of a given tensor
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*
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* @param[in] g Graph that the tensor belongs to
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* @param[in] tid Tensor ID
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*
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* @return Tensor descriptor if tensor was found else empty descriptor
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*/
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inline TensorDescriptor get_tensor_descriptor(const Graph &g, TensorID tid)
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{
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const Tensor *tensor = g.tensor(tid);
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return (tensor != nullptr) ? tensor->desc() : TensorDescriptor();
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}
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/** Sets an accessor on a given tensor
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*
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* @param[in] tensor Tensor to set the accessor to
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* @param[in] accessor Accessor to set
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*
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* @return True if accessor was set else false
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*/
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inline Status set_tensor_accessor(Tensor *tensor, std::unique_ptr<ITensorAccessor> accessor)
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{
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ARM_COMPUTE_RETURN_ERROR_ON(tensor == nullptr);
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tensor->set_accessor(std::move(accessor));
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return Status{};
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}
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/** Checks if a specific target is supported
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*
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* @param[in] target Target to check
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*
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* @return True if target is support else false
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*/
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bool is_target_supported(Target target);
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/** Returns default target for execution
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*
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* @note If an OpenCL backend exists then OpenCL is returned,
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* else if the NEON backend exists returns NEON as target.
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* If no backends are registered an error is raised.
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*
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* @return Default target
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*/
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Target get_default_target();
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/** Forces a single target to all graph constructs
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*
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* @param[in] g Graph to force target on
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* @param[in] target Target to force
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*/
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void force_target_to_graph(Graph &g, Target target);
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/** Creates a default @ref PassManager
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*
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* @param[in] target Target to create the pass manager for
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* @param[in] cfg Graph configuration meta-data
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*
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* @return A PassManager with default mutating passes
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*/
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PassManager create_default_pass_manager(Target target, const GraphConfig &cfg);
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/** Setups requested backend context if it exists, is supported and hasn't been initialized already.
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*
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* @param[in,out] ctx Graph Context.
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* @param[in] target Target to setup the backend for.
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*/
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void setup_requested_backend_context(GraphContext &ctx, Target target);
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/** Default releases the graph context if not done manually
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*
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* @param[in,out] ctx Graph Context
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*/
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void release_default_graph_context(GraphContext &ctx);
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/** Get size of a tensor's given dimension depending on its layout
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*
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* @param[in] descriptor Descriptor
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* @param[in] data_layout_dimension Tensor data layout dimension
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*
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* @return Size of requested dimension
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*/
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size_t get_dimension_size(const TensorDescriptor &descriptor, const DataLayoutDimension data_layout_dimension);
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/** Get index of a tensor's given dimension depending on its layout
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*
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* @param[in] data_layout Data layout of the tensor
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* @param[in] data_layout_dimension Tensor data layout dimension
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*
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* @return Idx of given dimension
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*/
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size_t get_dimension_idx(DataLayout data_layout, const DataLayoutDimension data_layout_dimension);
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/** Get the list of driving nodes of a given node
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*
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* @param[in] node Node to find the driving node of
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*
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* @return A list with the driving node of a given node
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*/
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std::vector<NodeIdxPair> get_driving_nodes(const INode &node);
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/** Configures tensor
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*
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* @param[in, out] tensor Tensor to configure
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*/
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void configure_tensor(Tensor *tensor);
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} // namespace graph
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_GRAPH_UTILS_H */
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