SMAUG
Simulating Machine Learning Applications on gem5-Aladdin
Public Member Functions | Protected Attributes | List of all members
smaug::FusedActivationOp Class Reference

An Operator fused with an activation function. More...

#include <fused_activation_op.h>

Inheritance diagram for smaug::FusedActivationOp:
smaug::Operator

Detailed Description

An Operator fused with an activation function.

This is an optimized operator that reduces memory/compute by directly computing the activation function on its output. This is a parent class of all operator implementations that support activation op fusion.

Definition at line 20 of file fused_activation_op.h.

Public Member Functions

 FusedActivationOp (const std::string &name, OpType opType, Workspace *workspace)
 
void setActivation (ActivationInfo _actInfo)
 
ActivationInfo getActivation () const
 
- 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 void createAllTensors ()
 For tests: creates all input and output tensors for this operator. More...
 
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
 
WorkspacegetWorkspace ()
 
TensorgetInput (int index) const
 
const std::vector< TensorBase * > & getInputs () const
 
TensorgetOutput (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 Attributes

ActivationInfo actInfo
 
- 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.
 
Workspaceworkspace
 
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.
 

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