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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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Update slices of the tensor in-place by overriding. More...
#include <utility_ops.h>
Public Member Functions | |
| ScatterAssignOp (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 |
| 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_ |
Update slices of the tensor in-place by overriding.
Input: DATA - tensor to be updated INDICES - 1-D list of indices on the first dimension of X_0 that need to be updated SLICES - update slices, has to have shape of len(INDICES) + shape(X_0)[1:]
Output: DATA - has to be exactly the same tensor as the input 0
Note: The op pretty much ignores the exact shapes of the input arguments and cares only about sizes. It's done for performance consideration to avoid unnecessary reshapes. Only first dimension of X_0 is important, let's call it N. If M is the total size of X_0 and K is the size of INDICES then X_i is assumed to be of shape K x (M / N) regardless of the real shape.
Note: Each update in INDICES is applied independently which means that if duplicated elements are present in INDICES arbitrary one will win.
For now really works only on CPU because of INDICES access
Definition at line 565 of file utility_ops.h.
1.8.11
