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

Public Member Functions

 USE_CONV_POOL_BASE_FUNCTIONS (CUDAContext)
 
 MaxPoolWithIndexOp (const OperatorDef &operator_def, Workspace *ws)
 
template<typename T >
bool DoRunWithType ()
 
bool RunOnDevice () override
 
- Public Member Functions inherited from caffe2::ConvPoolOpBase< CUDAContext >
 ConvPoolOpBase (const OperatorDef &operator_def, Workspace *ws)
 
vector< int > GetDims (const Tensor &input)
 
int GetDimsSize (const Tensor &input)
 
std::vector< int64_t > GetOutputSize (const Tensor &input, int output_channel)
 
void SetOutputSize (const Tensor &input, Tensor *output, int output_channel)
 
void ComputePads (const vector< int > &dims)
 
bool HasPad () const
 
bool HasStride () const
 
void SetDeviceTensor (const std::vector< int > &data, Tensor *tensor)
 
void SetBiasMultiplier (const int size, Tensor *bias_multiplier_)
 
bool RunOnDevice () override
 
virtual bool RunOnDeviceWithOrderNHWC ()
 
virtual bool RunOnDeviceWithOrderNCHW ()
 
- Public Member Functions inherited from caffe2::Operator< CUDAContext >
 Operator (const OperatorDef &operator_def, Workspace *ws)
 
 Operator (const c10::FunctionSchema &fn_schema, std::vector< c10::IValue > inputs, std::vector< at::Tensor > outputs)
 
const TensorInput (int idx, DeviceType type=CUDAContext::GetDeviceType())
 Retrieve a non-owning reference to the input at position 'idx' for this operator. More...
 
Tensor XOutput (int idx, at::IntArrayRef dims, at::TensorOptions options)
 XOutput is a modernized version of Output which returns a Tensor rather than a Tensor* (the raw pointer in the latter case is useless, as Tensor is a pointer type.)
 
- Public Member Functions inherited from caffe2::OperatorBase
 OperatorBase (const OperatorDef &operator_def, Workspace *ws)
 
 OperatorBase (const c10::FunctionSchema &schema, std::vector< c10::IValue > inputs, std::vector< at::Tensor > outputs)
 
bool isLegacyOperator () const
 Return true if the operator was instantiated with OperatorDef New operators should be instantiated with FunctionSchema.
 
const c10::FunctionSchemagetFunctionSchema () const
 
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< TGetVectorFromIValueList (const c10::IValue &value) const
 
template<typename T >
vector< TGetRepeatedArgument (const string &name, const vector< T > &default_value={}) const
 
template<typename T >
const TInput (int idx)
 
template<typename T >
const TInput (int idx, DeviceType type)
 
template<typename T >
TOutput (int idx)
 
template<typename T >
TOutput (int idx, DeviceType type)
 
Tensor XOutputTensor (int idx, at::IntArrayRef dims, at::TensorOptions options)
 
void SetOutputTensor (int idx, Tensor tensor)
 
Tensor OutputTensorOrUndefined (int idx)
 
TensorOutputTensor (int idx, at::IntArrayRef dims, at::TensorOptions options)
 
TensorOutputTensorCopyFrom (int idx, at::TensorOptions options, const Tensor &src, bool async=false)
 
TensorOutputTensorAlias (int idx, const Tensor &src)
 
template<typename T >
TOutput (int idx, T *allocated)
 
const BlobInputBlob (int idx)
 
BlobOutputBlob (int idx)
 
bool IsInputOutputAlias (int i, int j)
 
template<typename T >
bool InputIsType (int idx)
 
bool InputIsTensorType (int idx, DeviceType device_type)
 
template<typename T >
bool OutputIsType (int idx)
 
bool OutputIsTensorType (int idx, DeviceType type)
 
int InputSize () const
 
int OutputSize () const
 
const vector< const Blob * > & Inputs () const
 
const vector< Blob * > & Outputs ()
 
vector< TensorShape > InputTensorShapes () const
 
virtual void WaitEvent (const Event &ev, int=-1)
 
void Wait (const OperatorBase &other, int stream_id=-1)
 
virtual void WaitEvents (const std::vector< const Event * > &events, int=-1)
 
virtual void Finish ()
 
virtual bool Run (int=0)
 
virtual bool HasAsyncPart () const
 
virtual bool SupportsAsyncScheduling () const
 
virtual bool RunAsync (int stream_id=0)
 
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
 
virtual void SyncDeviceBarrierForObservers ()
 
virtual bool IsStreamFree (int) const
 
const std::string & type () const
 
void annotate_engine (const std::string &engine)
 
const std::string & engine () const
 
void SetExecutorHelper (ExecutorHelper *helper)
 
ExecutorHelperGetExecutorHelper () const
 
std::vector< at::Tensormove_newstyle_outputs ()&&
 
template<>
NetDef GetSingleArgument (const std::string &name, const NetDef &default_value) const
 
template<>
vector< int > GetVectorFromIValueList (const c10::IValue &value) const
 
template<>
vector< float > GetVectorFromIValueList (const c10::IValue &value) const
 
template<>
vector< string > GetVectorFromIValueList (const c10::IValue &value) const
 
- Public Member Functions inherited from caffe2::Observable< OperatorBase >
 Observable (Observable &&)=default
 
Observableoperator= (Observable &&)=default
 
 C10_DISABLE_COPY_AND_ASSIGN (Observable)
 
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 (const at::IntArrayRef &input_dims, const int output_channel, const StorageOrder order, const bool global_pooling, const LegacyPadding legacy_pad, const std::vector< int > &dilation, const std::vector< int > &stride, std::vector< int > *kernel, std::vector< int > *pads, std::vector< int > *output_dims)
 
static void InferOutputSize64 (const at::IntArrayRef &input_dims, const int output_channel, const StorageOrder order, const bool global_pooling, const LegacyPadding legacy_pad, const std::vector< int > &dilation, const std::vector< int > &stride, std::vector< int > *kernel, std::vector< int > *pads, std::vector< int64_t > *output_dims)
 
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 std::vector< TensorShape > TensorInferenceForConv (const OperatorDef &def, const std::vector< TensorShape > &in)
 
static std::vector< TensorShape > TensorInferenceForPool (const OperatorDef &def, const std::vector< TensorShape > &in)
 
static std::vector< TensorShape > TensorInferenceForLC (const OperatorDef &def, const std::vector< TensorShape > &in)
 
- Data Fields inherited from caffe2::ConvPoolOpBase< CUDAContext >
 USE_OPERATOR_CONTEXT_FUNCTIONS
 
- Static Public Attributes inherited from caffe2::OperatorBase
static const 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::OperatorBase
virtual void RecordEvent (const char *=nullptr)
 
void SetEventFinished (const char *err_msg=nullptr)
 
void SetEventFinishedWithException (const char *err_msg=nullptr)
 
std::string getErrorMsg ()
 
 C10_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)
 
static void ComputeSizeAndPad64 (const int in_size, const int stride, const int kernel, const int dilation, LegacyPadding legacy_pad, int *pad_head, int *pad_tail, int64_t *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_
 
bool float16_compute_
 
int group_
 
StorageOrder order_
 
bool shared_buffer_
 
Workspacews_
 
- 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 14 of file max_pool_with_index_gpu.h.


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