blob: 7af1812214f20b5db14f362d5f96f56b7d232359 [file] [log] [blame]
/*
* 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.
*/
#include "arm_compute/graph/Utils.h"
#include "arm_compute/graph/GraphContext.h"
#include "arm_compute/graph/backends/BackendRegistry.h"
#include "arm_compute/graph/mutators/GraphMutators.h"
namespace arm_compute
{
namespace graph
{
bool is_target_supported(Target target)
{
return backends::BackendRegistry::get().contains(target) && backends::BackendRegistry::get().find_backend(target)->is_backend_supported();
}
Target get_default_target()
{
if(is_target_supported(Target::NEON))
{
return Target::NEON;
}
if(is_target_supported(Target::CL))
{
return Target::CL;
}
if(is_target_supported(Target::GC))
{
return Target::GC;
}
ARM_COMPUTE_ERROR("No backend exists!");
}
void force_target_to_graph(Graph &g, Target target)
{
auto &nodes = g.nodes();
for(auto &node : nodes)
{
if(node)
{
node->set_assigned_target(target);
}
}
auto &tensors = g.tensors();
for(auto &tensor : tensors)
{
if(tensor)
{
tensor->desc().target = target;
}
}
}
PassManager create_default_pass_manager(Target target, const GraphConfig &cfg)
{
PassManager pm;
const bool is_target_gc = target == Target::GC;
// Passes that mutate graph IR
if(cfg.convert_to_uint8)
{
pm.append(support::cpp14::make_unique<SyntheticDataTypeMutator>(), !is_target_gc);
}
pm.append(support::cpp14::make_unique<NodeFusionMutator>(), !is_target_gc);
pm.append(support::cpp14::make_unique<GroupedConvolutionMutator>());
pm.append(support::cpp14::make_unique<InPlaceOperationMutator>(), !is_target_gc);
// Passes that mutate backend information
pm.append(support::cpp14::make_unique<DepthConcatSubTensorMutator>(), !is_target_gc);
pm.append(support::cpp14::make_unique<SplitLayerSubTensorMutator>(), !is_target_gc);
pm.append(support::cpp14::make_unique<NodeExecutionMethodMutator>());
return pm;
}
void release_default_graph_context(GraphContext &ctx)
{
for(const auto &backend : backends::BackendRegistry::get().backends())
{
if(backend.second->is_backend_supported())
{
backend.second->release_backend_context(ctx);
}
}
}
void setup_requested_backend_context(GraphContext &ctx, Target target)
{
if(backends::BackendRegistry::get().contains(target))
{
const auto &backend = backends::BackendRegistry::get().find_backend(target);
if(backend->is_backend_supported())
{
backend->setup_backend_context(ctx);
}
}
}
size_t get_dimension_size(const TensorDescriptor &descriptor, const DataLayoutDimension data_layout_dimension)
{
ARM_COMPUTE_ERROR_ON_MSG(descriptor.layout == DataLayout::UNKNOWN, "Cannot retrieve the dimension index for an unknown layout!");
return descriptor.shape[get_dimension_idx(descriptor.layout, data_layout_dimension)];
}
size_t get_dimension_idx(DataLayout data_layout, const DataLayoutDimension data_layout_dimension)
{
ARM_COMPUTE_ERROR_ON_MSG(data_layout == DataLayout::UNKNOWN, "Cannot retrieve the dimension index for an unknown layout!");
/* Return the index based on the data layout
* [N C H W]
* [3 2 1 0]
* [N H W C]
*/
switch(data_layout_dimension)
{
case DataLayoutDimension::CHANNEL:
return (data_layout == DataLayout::NCHW) ? 2 : 0;
break;
case DataLayoutDimension::HEIGHT:
return (data_layout == DataLayout::NCHW) ? 1 : 2;
break;
case DataLayoutDimension::WIDTH:
return (data_layout == DataLayout::NCHW) ? 0 : 1;
break;
case DataLayoutDimension::BATCHES:
return 3;
break;
default:
break;
}
ARM_COMPUTE_ERROR("Data layout index not supported!");
}
std::vector<NodeIdxPair> get_driving_nodes(const INode &node)
{
std::vector<NodeIdxPair> driving_nodes;
const Graph *g = node.graph();
ARM_COMPUTE_ERROR_ON(g == nullptr);
for(auto &output_edge_id : node.output_edges())
{
auto output_edge = g->edge(output_edge_id);
if(output_edge != nullptr)
{
ARM_COMPUTE_ERROR_ON(output_edge->consumer() == nullptr);
driving_nodes.push_back({ output_edge->consumer_id(), output_edge->consumer_idx() });
}
}
return driving_nodes;
}
void configure_tensor(Tensor *tensor)
{
if(tensor != nullptr && tensor->handle() == nullptr)
{
Target target = tensor->desc().target;
backends::IDeviceBackend &backend = backends::BackendRegistry::get().get_backend(target);
std::unique_ptr<ITensorHandle> handle = backend.create_tensor(*tensor);
ARM_COMPUTE_ERROR_ON_MSG(!handle, "Couldn't create backend handle!");
tensor->set_handle(std::move(handle));
}
}
} // namespace graph
} // namespace arm_compute