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template<class... Args> |
| MergeMultiListOrMapFeatureTensorsGradientOp (Args &&...args) |
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bool | RunOnDevice () override |
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template<typename T > |
bool | DoRunWithType () |
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| Operator (const OperatorDef &operator_def, Workspace *ws) |
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| Operator (const c10::FunctionSchema &fn_schema, std::vector< c10::IValue > inputs, std::vector< at::Tensor > outputs) |
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const Tensor & | Input (int idx, DeviceType type=Context::GetDeviceType()) |
| Retrieve a non-owning reference to the input at position 'idx' for this operator. More...
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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.)
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| OperatorBase (const OperatorDef &operator_def, Workspace *ws) |
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| OperatorBase (const c10::FunctionSchema &schema, std::vector< c10::IValue > inputs, std::vector< at::Tensor > outputs) |
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bool | isLegacyOperator () const |
| Return true if the operator was instantiated with OperatorDef New operators should be instantiated with FunctionSchema.
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const c10::FunctionSchema & | getFunctionSchema () const |
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bool | HasArgument (const string &name) const |
| Checks if the operator has an argument of the given name.
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template<typename T > |
T | GetSingleArgument (const string &name, const T &default_value) const |
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template<typename T > |
bool | HasSingleArgumentOfType (const string &name) const |
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template<typename T > |
vector< T > | GetVectorFromIValueList (const c10::IValue &value) const |
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template<typename T > |
vector< T > | GetRepeatedArgument (const string &name, const vector< T > &default_value={}) const |
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template<typename T > |
const T & | Input (int idx) |
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template<typename T > |
const T & | Input (int idx, DeviceType type) |
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template<typename T > |
T * | Output (int idx) |
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template<typename T > |
T * | Output (int idx, DeviceType type) |
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Tensor | XOutputTensor (int idx, at::IntArrayRef dims, at::TensorOptions options) |
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void | SetOutputTensor (int idx, Tensor tensor) |
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Tensor | OutputTensorOrUndefined (int idx) |
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Tensor * | OutputTensor (int idx, at::IntArrayRef dims, at::TensorOptions options) |
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Tensor * | OutputTensorCopyFrom (int idx, at::TensorOptions options, const Tensor &src, bool async=false) |
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Tensor * | OutputTensorAlias (int idx, const Tensor &src) |
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template<typename T > |
T * | Output (int idx, T *allocated) |
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const Blob & | InputBlob (int idx) |
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Blob * | OutputBlob (int idx) |
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bool | IsInputOutputAlias (int i, int j) |
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template<typename T > |
bool | InputIsType (int idx) |
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bool | InputIsTensorType (int idx, DeviceType device_type) |
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template<typename T > |
bool | OutputIsType (int idx) |
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bool | OutputIsTensorType (int idx, DeviceType type) |
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int | InputSize () const |
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int | OutputSize () const |
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const vector< const Blob * > & | Inputs () const |
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const vector< Blob * > & | Outputs () |
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vector< TensorShape > | InputTensorShapes () const |
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virtual void | WaitEvent (const Event &ev, int=-1) |
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void | Wait (const OperatorBase &other, int stream_id=-1) |
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virtual void | WaitEvents (const std::vector< const Event * > &events, int=-1) |
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virtual void | Finish () |
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virtual bool | Run (int=0) |
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virtual bool | HasAsyncPart () const |
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virtual bool | SupportsAsyncScheduling () const |
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virtual bool | RunAsync (int stream_id=0) |
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virtual void | AddRelatedBlobInfo (EnforceNotMet *err) |
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const OperatorDef & | debug_def () const |
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void | set_debug_def (const std::shared_ptr< const OperatorDef > &operator_def) |
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bool | has_debug_def () const |
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void | RecordLastFailedOpNetPosition () |
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int | net_position () const |
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void | set_net_position (int idx) |
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const DeviceOption & | device_option () const |
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const Event & | event () const |
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Event & | event () |
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void | ResetEvent () |
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void | DisableEvent () |
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bool | IsEventDisabled () const |
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virtual void | SyncDeviceBarrierForObservers () |
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virtual bool | IsStreamFree (int) const |
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const std::string & | type () const |
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void | annotate_engine (const std::string &engine) |
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const std::string & | engine () const |
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void | SetExecutorHelper (ExecutorHelper *helper) |
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ExecutorHelper * | GetExecutorHelper () const |
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std::vector< at::Tensor > | move_newstyle_outputs ()&& |
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template<> |
NetDef | GetSingleArgument (const std::string &name, const NetDef &default_value) const |
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template<> |
vector< int > | GetVectorFromIValueList (const c10::IValue &value) const |
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template<> |
vector< float > | GetVectorFromIValueList (const c10::IValue &value) const |
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template<> |
vector< string > | GetVectorFromIValueList (const c10::IValue &value) const |
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| Observable (Observable &&)=default |
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Observable & | operator= (Observable &&)=default |
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| C10_DISABLE_COPY_AND_ASSIGN (Observable) |
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const Observer * | AttachObserver (std::unique_ptr< Observer > observer) |
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std::unique_ptr< Observer > | DetachObserver (const Observer *observer_ptr) |
| Returns a unique_ptr to the removed observer. More...
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virtual size_t | NumObservers () |
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void | StartAllObservers () |
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void | StopAllObservers () |
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template<class Context>
class caffe2::MergeMultiListOrMapFeatureTensorsGradientOp< Context >
Definition at line 710 of file feature_maps_ops.h.