Caffe2 - C++ API
A deep learning, cross platform ML framework
Public Member Functions | Data Fields
caffe2::TileGradientOp< T, Context > Class Template Reference
Inheritance diagram for caffe2::TileGradientOp< T, Context >:
caffe2::Operator< Context > caffe2::OperatorBase caffe2::Observable< OperatorBase >

Public Member Functions

 TileGradientOp (const OperatorDef &operator_def, Workspace *ws)
 
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
 
- 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 >
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)
 
const BlobInputBlob (int idx)
 
BlobOutputBlob (int idx)
 
template<typename T >
bool InputIsType (int idx)
 
template<typename T >
bool OutputIsType (int idx)
 
int InputSize ()
 
int OutputSize ()
 
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 Eventevent () const
 
Eventevent ()
 
void ResetEvent ()
 
void DisableEvent ()
 
bool IsEventDisabled () const
 
const std::string & type ()
 
void annotate_engine (const std::string &engine)
 
const std::string & engine () const
 
- Public Member Functions inherited from caffe2::Observable< OperatorBase >
const ObserverAttachObserver (std::unique_ptr< Observer > observer)
 
std::unique_ptr< ObserverDetachObserver (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< Eventevent_
 
- Protected Attributes inherited from caffe2::Observable< OperatorBase >
std::vector< std::unique_ptr< Observer > > observers_list_
 

Detailed Description

template<typename T, class Context>
class caffe2::TileGradientOp< T, Context >

Definition at line 146 of file tile_op.h.

Member Function Documentation

template<typename T , class Context >
bool caffe2::TileGradientOp< T, Context >::RunOnDevice ( )
inlineoverridevirtual

How this works: Imagine a 2D tensor (matrix) of size 3x10, tiled 2 times along axis 1 (column). This is equivalent to multiplying by a vector of 1s transposed. The gradient of this is all 1s in the shape of the input matrix (call it X). So the output gradient should be the matrix multipication result of input gradient (gradient of tiled tensor output) and X.

Implements caffe2::Operator< Context >.

Definition at line 155 of file tile_op.h.


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