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Caffe2 - C++ API
A deep learning, cross platform ML framework
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Caffe2 - C++ API
A deep learning, cross platform ML framework
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Alias op makes the output and the input share the same underlying storage. More...
#include <utility_ops.h>
Public Member Functions | |
| USE_SIMPLE_CTOR_DTOR (AliasOp) | |
| bool | RunOnDevice () override |
 Public Member Functions inherited from caffe2::Operator< Context > | |
| Operator (const OperatorDef &operator_def, Workspace *ws) | |
| const Tensor< Context > & | Input (int idx) |
| Tensor< Context > * | Output (int idx) |
| void | WaitEvent (const Event &ev, int stream_id=-1) final |
| void | WaitEvents (const std::vector< const Event * > &events, int stream_id=-1) final |
| bool | Run (int stream_id=0) final |
| bool | RunAsync (int stream_id=0) final |
| bool | IsStreamFree (int stream_id) const override |
| bool | HasAsyncPart () const override |
| bool | SupportsAsyncScheduling () const override |
| const Context * | getContext () const |
| Public Member Functions inherited from caffe2::OperatorBase | |
| OperatorBase (const OperatorDef &operator_def, Workspace *ws) | |
| bool | HasArgument (const string &name) const |
| Checks if the operator has an argument of the given name. | |
| template<typename T > | |
| T | GetSingleArgument (const string &name, const T &default_value) const |
| template<typename T > | |
| bool | HasSingleArgumentOfType (const string &name) const |
| template<typename T > | |
| vector< T > | GetRepeatedArgument (const string &name, const vector< T > &default_value={}) const |
| template<typename T > | |
| const T & | Input (int idx) |
| template<typename T > | |
| T * | Output (int idx) |
| template<typename T > | |
| T * | Output (int idx, T *allocated) |
| const Blob & | InputBlob (int idx) |
| Blob * | OutputBlob (int idx) |
| template<typename T > | |
| bool | InputIsType (int idx) |
| template<typename T > | |
| bool | OutputIsType (int idx) |
| int | InputSize () const |
| int | OutputSize () const |
| const vector< const Blob * > & | Inputs () const |
| const vector< Blob * > & | Outputs () |
| vector< TensorShape > | InputTensorShapes () |
| void | Wait (const OperatorBase &other, int stream_id=-1) |
| virtual void | Finish () |
| virtual void | AddRelatedBlobInfo (EnforceNotMet *err) |
| const OperatorDef & | debug_def () const |
| void | set_debug_def (const std::shared_ptr< const OperatorDef > &operator_def) |
| bool | has_debug_def () const |
| void | RecordLastFailedOpNetPosition () |
| int | net_position () const |
| void | set_net_position (int idx) |
| const DeviceOption & | device_option () const |
| const Event & | event () const |
| Event & | event () |
| void | ResetEvent () |
| void | DisableEvent () |
| bool | IsEventDisabled () const |
| const std::string & | type () const |
| void | annotate_engine (const std::string &engine) |
| const std::string & | engine () const |
| Public Member Functions inherited from caffe2::Observable< OperatorBase > | |
| const Observer * | AttachObserver (std::unique_ptr< Observer > observer) |
| std::unique_ptr< Observer > | DetachObserver (const Observer *observer_ptr) |
| Returns a unique_ptr to the removed observer. More... | |
| virtual size_t | NumObservers () |
| void | StartAllObservers () |
| void | StopAllObservers () |
Data Fields | |
| USE_OPERATOR_CONTEXT_FUNCTIONS | |
Additional Inherited Members | |
| Public Types inherited from caffe2::Observable< OperatorBase > | |
| using | Observer = ObserverBase< OperatorBase > |
| Static Public Attributes inherited from caffe2::OperatorBase | |
| static constexpr int | kNoNetPositionSet = -1 |
| Protected Member Functions inherited from caffe2::Operator< Context > | |
| void | RecordEvent (const char *err_msg=nullptr) final |
| std::string | getErrorMsg () |
| Protected Member Functions inherited from caffe2::OperatorBase | |
| DISABLE_COPY_AND_ASSIGN (OperatorBase) | |
| Protected Attributes inherited from caffe2::Operator< Context > | |
| Context | context_ |
| Protected Attributes inherited from caffe2::OperatorBase | |
| std::unique_ptr< Event > | event_ |
| Protected Attributes inherited from caffe2::Observable< OperatorBase > | |
| std::vector< std::unique_ptr< Observer > > | observers_list_ |
Alias op makes the output and the input share the same underlying storage.
WARNING: in general, in caffe2's operator interface different tensors should have different underlying storage, which is the assumption made by components such as the dependency engine and memory optimization. Thus, in normal situations you should not use the AliasOp, especially in a normal forward-backward pass.
The Alias op is provided so one can achieve true asynchrony, such as Hogwild, in a graph. But make sure you understand all the implications similar to multi-thread computation before you use it explicitly.
Definition at line 164 of file utility_ops.h.
1.8.11
