Caffe2 - C++ API
A deep learning, cross platform ML framework
Public Member Functions
caffe2::RecurrentParamAccessOp< T, mode > Class Template Reference
Inheritance diagram for caffe2::RecurrentParamAccessOp< T, mode >:
caffe2::RecurrentBaseOp< T > caffe2::Operator< CUDAContext > caffe2::OperatorBase caffe2::Observable< OperatorBase >

Public Member Functions

USE_RECURRENT_BASE_FUNCTIONS RecurrentParamAccessOp (const OperatorDef &operator_def, Workspace *ws)
 
bool RunOnDevice () override
 
- Public Member Functions inherited from caffe2::RecurrentBaseOp< T >
 USE_OPERATOR_FUNCTIONS (CUDAContext)
 
 RecurrentBaseOp (const OperatorDef &operator_def, Workspace *ws)
 
- Public Member Functions inherited from caffe2::Operator< CUDAContext >
 Operator (const OperatorDef &operator_def, Workspace *ws)
 
const Tensor< CUDAContext > & Input (int idx)
 
Tensor< CUDAContext > * 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 ()
 

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::RecurrentBaseOp< T >
void initialize (const Tensor< CUDAContext > &input, Tensor< CUDAContext > *dropoutStates=nullptr, Tensor< CUDAContext > *output=nullptr, Tensor< CUDAContext > *hiddenOutput=nullptr, Tensor< CUDAContext > *cellOutput=nullptr)
 
- Protected Member Functions inherited from caffe2::Operator< CUDAContext >
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::RecurrentBaseOp< T >
CuDNNWrapper cudnn_wrapper_
 
cudnnDropoutDescriptor_t dropoutDesc_
 
cudnnRNNDescriptor_t rnnDesc_
 
cudnnFilterDescriptor_t wDesc_
 
cudnnTensorDescriptor_t hxDesc_
 
cudnnTensorDescriptor_t cxDesc_
 
cudnnTensorDescriptor_t hyDesc_
 
cudnnTensorDescriptor_t cyDesc_
 
std::unique_ptr< detail::TensorDescriptors< T > > xDesc_
 
std::unique_ptr< detail::TensorDescriptors< T > > yDesc_
 
std::vector< TIndex > cachedInputDims_
 
size_t reserveNbytes_
 
size_t cudnnWsNbytes_
 
- Protected Attributes inherited from caffe2::Operator< CUDAContext >
CUDAContext 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, RecurrentParamOpMode mode>
class caffe2::RecurrentParamAccessOp< T, mode >

Definition at line 116 of file recurrent_op_cudnn.h.


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