Caffe2 - C++ API
A deep learning, cross platform ML framework
Public Member Functions
caffe2::MaxPoolRTCOp Class Referencefinal
Inheritance diagram for caffe2::MaxPoolRTCOp:
caffe2::ConvPoolOpBase< CUDAContext > caffe2::Operator< CUDAContext > caffe2::OperatorBase caffe2::Observable< OperatorBase >

Public Member Functions

 MaxPoolRTCOp (const OperatorDef &operator_def, Workspace *ws)
 
bool RunOnDeviceWithOrderNCHW () override
 
bool RunOnDeviceWithOrderNHWC () override
 
- Public Member Functions inherited from caffe2::ConvPoolOpBase< CUDAContext >
 ConvPoolOpBase (const OperatorDef &operator_def, Workspace *ws)
 
vector< int > GetDims (const Tensor< CUDAContext > &input)
 
int GetDimsSize (const Tensor< CUDAContext > &input)
 
void SetOutputSize (const Tensor< AlternativeContext > &input, Tensor< AlternativeContext > *output, int output_channel)
 
void ComputePads (const vector< int > &dims)
 
void SetDeviceTensor (const std::vector< int > &data, Tensor< CUDAContext > *tensor)
 
void SetBiasMultiplier (const int size, Tensor< CUDAContext > *bias_multiplier_)
 
bool RunOnDevice () override
 
- 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 Member Functions inherited from caffe2::ConvPoolOpBase< CUDAContext >
static void InferOutputSize (vector< TIndex > input_dims, int, StorageOrder order, bool global_pooling, LegacyPadding legacy_pad, int, vector< int > &kernel, vector< int > &output_dims, const vector< int > &dilation, const vector< int > &stride, vector< int > &pads, bool &channel_first)
 
static struct OpSchema::Cost CostInferenceForConv (const OperatorDef &def, const vector< TensorShape > &inputs)
 
static vector< TensorShape > TensorInferenceForSchema (const OperatorDef &def, const vector< TensorShape > &in, int output_channel)
 
static vector< TensorShape > TensorInferenceForConv (const OperatorDef &def, const vector< TensorShape > &in)
 
static vector< TensorShape > TensorInferenceForPool (const OperatorDef &def, const vector< TensorShape > &in)
 
- Data Fields inherited from caffe2::ConvPoolOpBase< CUDAContext >
 USE_OPERATOR_CONTEXT_FUNCTIONS
 
- Static Public Attributes inherited from caffe2::OperatorBase
static constexpr int kNoNetPositionSet = -1
 
- Protected Member Functions inherited from caffe2::ConvPoolOpBase< CUDAContext >
int pad_t () const
 
int pad_l () const
 
int pad_b () const
 
int pad_r () const
 
int kernel_h () const
 
int kernel_w () const
 
int stride_h () const
 
int stride_w () const
 
int dilation_h () const
 
int dilation_w () const
 
- 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)
 
- Static Protected Member Functions inherited from caffe2::ConvPoolOpBase< CUDAContext >
static void ComputeSizeAndPad (const int in_size, const int stride, const int kernel, const int dilation, LegacyPadding legacy_pad, int *pad_head, int *pad_tail, int *out_size)
 
- Protected Attributes inherited from caffe2::ConvPoolOpBase< CUDAContext >
LegacyPadding legacy_pad_
 
bool global_pooling_
 
vector< int > kernel_
 
vector< int > dilation_
 
vector< int > stride_
 
vector< int > pads_
 
Tensor< CUDAContextkernel_device_
 
Tensor< CUDAContextdilation_device_
 
Tensor< CUDAContextstride_device_
 
Tensor< CUDAContextpads_device_
 
int group_
 
StorageOrder order_
 
bool shared_buffer_
 
Workspacews_
 
- 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

Definition at line 204 of file pool_op_rtc_gpu.cc.


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