The base class of all elementwise operators. More...
#include <eltwise_op.h>
Detailed Description
template<typename Backend>
class smaug::EltwiseOp< Backend >
The base class of all elementwise operators.
- Template Parameters
-
Backend The Backend specialization of this Operator.
Definition at line 17 of file eltwise_op.h.
Public Member Functions | |
| EltwiseOp (const std::string &name, OpType opType, Workspace *workspace) | |
| void | createAllTensors () override |
| For tests: creates all input and output tensors for this operator. More... | |
 Public Member Functions inherited from smaug::Operator | |
| Operator (const std::string &_name, OpType _opType, Workspace *_workspace) | |
| virtual void | tile () |
| virtual void | run ()=0 |
| Executes the Operator. More... | |
| virtual bool | validate () |
| Returns true if the parameters/tensors of this operator are all valid. | |
| virtual bool | isDead () |
| Returns true if the Operator is dead. More... | |
| virtual std::vector< TensorBase * > | getParameterizableInputs () |
| Return a list of Tensors whose values that are parameterizable. More... | |
| virtual int | getNumParameters () const |
| This returns the number of parameterizable weights in the operator. | |
| virtual bool | isSamplingSupported () const |
| virtual void | setSamplingInfo (const SamplingInfo &sampling) |
| void | printSummary (std::ostream &out) const |
| void | setInput (TensorBase *op, int index) |
| void | setOutput (TensorBase *op, int index) |
| void | setNumPendingInputs (int num) |
| Set the number of input tensors that this operator is waiting on. More... | |
| int | getNumPendingInputs () const |
| void | decrNumPendingInputs () |
| const std::string & | getName () const |
| Vertex | getVertex () const |
| void | setVertex (Vertex v) |
| OpType | getOpType () const |
| Workspace * | getWorkspace () |
| Tensor * | getInput (int index) const |
| const std::vector< TensorBase * > & | getInputs () const |
| Tensor * | getOutput (int index) const |
| const std::vector< TensorBase * > & | getOutputs () const |
| void | setInputsMemType (MemoryType type) |
| void | setWeightsMemType (MemoryType type) |
| void | setOutputsMemType (MemoryType type) |
| MemoryType | getInputsMemType () const |
| MemoryType | getWeightsMemType () const |
| MemoryType | getOutputsMemType () const |
Protected Types | |
| enum | { Input0, Input1, kNumInputs } |
| enum | { Outputs, kNumOutputs } |
Additional Inherited Members | |
| Protected Attributes inherited from smaug::Operator | |
| std::vector< TensorBase * > | inputs |
| An ordered list of input tensors consumed by this operator. More... | |
| std::vector< TensorBase * > | outputs |
| An ordered list of output tensors produced by this operator. More... | |
| std::string | name |
| OpType | opType |
| Vertex | vertex |
| The BGL Vertex corresponding to this Operator. | |
| Workspace * | workspace |
| int | numPendingInputs |
| The number of tensors that this operator is waiting on before it can be scheduled. | |
| MemoryType | inputsMemType |
| The memory interface over which input activations are expected to arrive. | |
| MemoryType | weightsMemType |
| The memory interface over which weights are expected to arrive. | |
| MemoryType | outputsMemType |
| The memory interface over which outputs are expected to be delivered. | |
Member Function Documentation
◆ createAllTensors()
|
inlineoverridevirtual |
For tests: creates all input and output tensors for this operator.
When running a network, all tensor shapes are specified in the network topology proto, and the network builder will automatically create them for you. In unit tests, this is a convenience method to avoid needing to create TensorShape protos.
This should only be called once the Operator is fully initialized with all required parameters. It is responsible for creating only the tensors it "owns". All operators "own" their output tensors, but not necessarily all of their input tensors. For example, a convolution operator "owns" its weight tensors, but not the input activations (which are the output of a previous Operator).
Note that "ownership" of a Tensor does not mean the Operator holds a std::unique_ptr to the Tensor; it simply means it is solely responsible for constructing and allocating memory for it.
Reimplemented from smaug::Operator.
Definition at line 25 of file eltwise_op.h.
The documentation for this class was generated from the following file:
- smaug/operators/eltwise_op.h
