arm_compute v18.05
diff --git a/src/graph/detail/ExecutionHelpers.cpp b/src/graph/detail/ExecutionHelpers.cpp
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+/*
+ * Copyright (c) 2018 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/detail/ExecutionHelpers.h"
+
+#include "arm_compute/graph/Graph.h"
+#include "arm_compute/graph/GraphContext.h"
+#include "arm_compute/graph/GraphManager.h"
+#include "arm_compute/graph/Tensor.h"
+#include "arm_compute/graph/backends/BackendRegistry.h"
+
+namespace arm_compute
+{
+namespace graph
+{
+namespace detail
+{
+void default_initialize_backends()
+{
+ for(const auto &backend : backends::BackendRegistry::get().backends())
+ {
+ backend.second->initialize_backend();
+ }
+}
+
+void validate_all_nodes(Graph &g)
+{
+ auto &nodes = g.nodes();
+
+ // Create tasks
+ for(auto &node : nodes)
+ {
+ if(node != nullptr)
+ {
+ Target assigned_target = node->assigned_target();
+ auto backend = backends::BackendRegistry::get().find_backend(assigned_target);
+ ARM_COMPUTE_ERROR_ON_MSG(!backend, "Requested backend doesn't exist!");
+ Status status = backend->validate_node(*node);
+ ARM_COMPUTE_ERROR_ON_MSG(!bool(status), status.error_description().c_str());
+ }
+ }
+}
+
+void configure_all_tensors(Graph &g)
+{
+ auto &tensors = g.tensors();
+
+ for(auto &tensor : tensors)
+ {
+ if(tensor)
+ {
+ Target target = tensor->desc().target;
+ auto backend = backends::BackendRegistry::get().find_backend(target);
+ ARM_COMPUTE_ERROR_ON_MSG(!backend, "Requested backend doesn't exist!");
+ auto handle = backend->create_tensor(*tensor);
+ ARM_COMPUTE_ERROR_ON_MSG(!backend, "Couldn't create backend handle!");
+ tensor->set_handle(std::move(handle));
+ }
+ }
+}
+
+void allocate_all_input_tensors(INode &node)
+{
+ for(unsigned int i = 0; i < node.num_inputs(); ++i)
+ {
+ Tensor *tensor = node.input(i);
+ if(tensor != nullptr && !tensor->bound_edges().empty())
+ {
+ ARM_COMPUTE_ERROR_ON_MSG(!tensor->handle(), "Tensor handle is not configured!");
+ tensor->handle()->allocate();
+ }
+ }
+}
+
+void allocate_all_output_tensors(INode &node)
+{
+ for(unsigned int i = 0; i < node.num_outputs(); ++i)
+ {
+ Tensor *tensor = node.output(i);
+ if(tensor != nullptr && !tensor->bound_edges().empty())
+ {
+ ARM_COMPUTE_ERROR_ON_MSG(!tensor->handle(), "Tensor handle is not configured!");
+ tensor->handle()->allocate();
+ }
+ }
+}
+
+void allocate_const_tensors(Graph &g)
+{
+ for(auto &node : g.nodes())
+ {
+ if(node != nullptr)
+ {
+ switch(node->type())
+ {
+ case NodeType::Const:
+ case NodeType::Input:
+ allocate_all_output_tensors(*node);
+ break;
+ case NodeType::Output:
+ allocate_all_input_tensors(*node);
+ default:
+ break;
+ }
+ }
+ }
+}
+
+void allocate_all_tensors(Graph &g)
+{
+ auto &tensors = g.tensors();
+
+ for(auto &tensor : tensors)
+ {
+ if(tensor && !tensor->bound_edges().empty() && tensor->handle() != nullptr && tensor->handle()->tensor().info()->is_resizable() && tensor->handle()->tensor().is_used())
+ {
+ tensor->handle()->allocate();
+ }
+ }
+}
+
+ExecutionWorkload configure_all_nodes(Graph &g, GraphContext &ctx)
+{
+ ExecutionWorkload workload;
+ workload.graph = &g;
+ workload.ctx = &ctx;
+
+ auto &nodes = g.nodes();
+
+ // Create tasks
+ for(auto &node : nodes)
+ {
+ if(node != nullptr)
+ {
+ Target assigned_target = node->assigned_target();
+ auto backend = backends::BackendRegistry::get().find_backend(assigned_target);
+ ARM_COMPUTE_ERROR_ON_MSG(!backend, "Requested backend doesn't exist!");
+ auto func = backend->configure_node(*node, ctx);
+ if(func != nullptr)
+ {
+ ExecutionTask task;
+ task.task = std::move(func);
+ task.node = node.get();
+ workload.tasks.push_back(std::move(task));
+ }
+ }
+ }
+
+ // Add inputs and outputs
+ for(auto &node : nodes)
+ {
+ if(node != nullptr && node->type() == NodeType::Input)
+ {
+ workload.inputs.push_back(node->output(0));
+ }
+
+ if(node != nullptr && node->type() == NodeType::Output)
+ {
+ workload.outputs.push_back(node->input(0));
+ continue;
+ }
+ }
+
+ return workload;
+}
+
+void release_unused_tensors(Graph &g)
+{
+ for(auto &tensor : g.tensors())
+ {
+ if(tensor != nullptr && tensor->handle() != nullptr)
+ {
+ tensor->handle()->release_if_unused();
+ }
+ }
+}
+
+void call_tensor_accessor(Tensor *tensor)
+{
+ ARM_COMPUTE_ERROR_ON(!tensor);
+ tensor->call_accessor();
+}
+
+void call_all_const_node_accessors(Graph &g)
+{
+ auto &nodes = g.nodes();
+
+ for(auto &node : nodes)
+ {
+ if(node != nullptr && node->type() == NodeType::Const)
+ {
+ call_tensor_accessor(node->output(0));
+ }
+ }
+}
+
+void call_all_input_node_accessors(ExecutionWorkload &workload)
+{
+ for(auto &input : workload.inputs)
+ {
+ if(input != nullptr)
+ {
+ input->call_accessor();
+ }
+ }
+}
+
+void prepare_all_tasks(ExecutionWorkload &workload)
+{
+ ARM_COMPUTE_ERROR_ON(workload.graph == nullptr);
+ for(auto &task : workload.tasks)
+ {
+ task.prepare();
+ release_unused_tensors(*workload.graph);
+ }
+}
+
+void call_all_tasks(ExecutionWorkload &workload)
+{
+ ARM_COMPUTE_ERROR_ON(workload.ctx == nullptr);
+
+ // Acquire memory for the transition buffers
+ for(auto &mm_ctx : workload.ctx->memory_managers())
+ {
+ if(mm_ctx.second.cross_group != nullptr)
+ {
+ mm_ctx.second.cross_group->acquire();
+ }
+ }
+
+ // Execute tasks
+ for(auto &task : workload.tasks)
+ {
+ task();
+ }
+
+ // Release memory for the transition buffers
+ for(auto &mm_ctx : workload.ctx->memory_managers())
+ {
+ if(mm_ctx.second.cross_group != nullptr)
+ {
+ mm_ctx.second.cross_group->release();
+ }
+ }
+}
+
+void call_all_output_node_accessors(ExecutionWorkload &workload)
+{
+ for(auto &output : workload.outputs)
+ {
+ if(output != nullptr)
+ {
+ output->call_accessor();
+ }
+ }
+}
+} // namespace detail
+} // namespace graph
+} // namespace arm_compute
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