ONE - On-device Neural Engine
All Data Structures Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Macros Modules Pages
onert::backend::builtin::Backend Class Reference

#include <Backend.h>

Collaboration diagram for onert::backend::builtin::Backend:

Public Member Functions

 Backend ()
 
std::shared_ptr< IConfigconfig () const override
 
std::unique_ptr< onert::backend::BackendContextnewContext (ContextData &&data) const override
 
std::unique_ptr< backend::train::TrainableBackendContextnewContext (backend::train::TrainableContextData &&tdata) const override
 
- Public Member Functions inherited from onert::backend::Backend
virtual ~Backend ()=default
 
- Public Member Functions inherited from onert::backend::train::ITrainableBackend
virtual ~ITrainableBackend ()=default
 

Detailed Description

Definition at line 37 of file Backend.h.

Constructor & Destructor Documentation

◆ Backend()

onert::backend::builtin::Backend::Backend ( )
inline

Definition at line 40 of file Backend.h.

40: _config{std::make_shared<Config>()} {}

Member Function Documentation

◆ config()

std::shared_ptr< IConfig > onert::backend::builtin::Backend::config ( ) const
inlineoverridevirtual

Implements onert::backend::Backend.

Definition at line 42 of file Backend.h.

42{ return _config; }

◆ newContext() [1/2]

std::unique_ptr< backend::train::TrainableBackendContext > onert::backend::builtin::Backend::newContext ( backend::train::TrainableContextData &&  tdata) const
inlineoverridevirtual

Implements onert::backend::train::ITrainableBackend.

Definition at line 74 of file Backend.h.

75 {
76 const auto &tgraph = *tdata.tgraph;
77 auto tr = std::make_shared<train::TensorRegistry>();
78 // TODO Create TensorBuilder if necessary
79 auto tdata_ptr = std::make_unique<backend::train::TrainableContextData>(std::move(tdata));
80 auto context = std::make_unique<train::BackendContext>(this, std::move(tdata_ptr), tr);
81
82 context->kernel_gen =
83 std::make_shared<train::KernelGenerator>(tgraph, tr, context->external_context());
84 return context;
85 }

◆ newContext() [2/2]

std::unique_ptr< onert::backend::BackendContext > onert::backend::builtin::Backend::newContext ( ContextData &&  data) const
inlineoverridevirtual

Implements onert::backend::Backend.

Definition at line 44 of file Backend.h.

45 {
46 auto context = std::make_unique<BackendContext>(this, std::move(data));
47 // ControlFlow backend may not build tensors for itself because the backend's operation uses
48 // tensors of other baceknd instead
49 // But the backend builds tensors in case of that the controlflow operation may have constant
50 // input or that consecutive controflow operations exist. We have to make them not to be built
51 // later
52 // 1. Constant input
53 // These tensors cannot be dynamic tensor, so let's do it as follows:
54 // - always skip copying
55 // - if it is operation's input in child subgraph: register "use" as constant input of the
56 // operations in child subgraph
57 // - if it is child subgraph's output: register "use" as constant input of the operations
58 // using it
59 // 2. Consecutive controflow operation's intermediate tensor
60 // These tensors can be dynamic tensor and this is complicated to support without copying. But
61 // there is no such case until now, let's support it later
62 // TODO Remove TensorBuilder and ConstantInitializer
63 // TODO Support Consecutive controflow operation's intermediate tensor
64 auto tr = std::make_shared<TensorRegistry>();
65 auto tb = std::make_shared<TensorBuilder>(tr);
66 context->tensor_registry = tr;
67 context->tensor_builder = tb;
68 context->kernel_gen = std::make_shared<KernelGenerator>(
69 *context->graph(), tb->dynamicTensorManager(), tr, context->external_context());
70 return context;
71 }

The documentation for this class was generated from the following file: