public class Pooling2D extends DynamicCustomOp
Modifier and Type | Class and Description |
---|---|
static class |
Pooling2D.Divisor
Divisor mode for average pooling only.
|
static class |
Pooling2D.Pooling2DType |
DynamicCustomOp.DynamicCustomOpsBuilder, DynamicCustomOp.SameDiffBuilder
Modifier and Type | Field and Description |
---|---|
protected Pooling2DConfig |
config |
inplaceCall, outputVariables
dimensions, extraArgs, inPlace, sameDiff, scalarValue
Constructor and Description |
---|
Pooling2D() |
Pooling2D(SameDiff sameDiff,
SDVariable[] inputs,
INDArray[] arrayInputs,
INDArray[] arrayOutputs,
Pooling2DConfig config) |
Modifier and Type | Method and Description |
---|---|
String |
configFieldName()
Returns the name of the field to be used for looking up field names.
|
List<SDVariable> |
doDiff(List<SDVariable> f1)
The actual implementation for automatic differentiation.
|
String |
getPoolingPrefix() |
void |
initFromOnnx(OnnxProto3.NodeProto node,
SameDiff initWith,
Map<String,OnnxProto3.AttributeProto> attributesForNode,
OnnxProto3.GraphProto graph)
Iniitialize the function from the given
OnnxProto3.NodeProto |
void |
initFromTensorFlow(NodeDef nodeDef,
SameDiff initWith,
Map<String,AttrValue> attributesForNode,
GraphDef graph)
Initialize the function from the given
NodeDef |
boolean |
isConfigProperties()
Returns true if the fields for this class should be looked up from a configuration class.
|
String |
onnxName()
The opName of this function in onnx
|
String |
opName()
This method returns op opName as string
|
Map<String,Object> |
propertiesForFunction()
Returns the properties for a given function
|
void |
setValueFor(Field target,
Object value)
Set the value for this function.
|
String |
tensorflowName()
The opName of this function tensorflow
|
addIArgument, addInputArgument, addOutputArgument, addTArgument, asProperties, assertValidForExecution, builder, calculateOutputShape, getDescriptor, getIArgument, getInputArgument, getOutputArgument, getTArgument, iArgs, inputArguments, numIArguments, numInputArguments, numOutputArguments, numTArguments, opHash, opNum, opType, outputArguments, outputVariables, outputVariables, populateInputsAndOutputsFromSameDiff, removeIArgument, removeInputArgument, removeOutputArgument, removeTArgument, sameDiffBuilder, setInputArgument, setOutputArgument, tArgs, toString, updateInputsFromSameDiff
arg, args, attributeAdaptersForFunction, diff, dup, equals, f, getValue, hashCode, hasPlaceHolderInputs, larg, mappingsForFunction, onnxNames, rarg, resolvePropertiesFromSameDiffBeforeExecution, setInstanceId, tensorflowNames
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
isInplaceCall
protected Pooling2DConfig config
public Pooling2D()
public Pooling2D(SameDiff sameDiff, SDVariable[] inputs, INDArray[] arrayInputs, INDArray[] arrayOutputs, Pooling2DConfig config)
public void setValueFor(Field target, Object value)
DifferentialFunction
ND4JIllegalStateException
will be thrown.setValueFor
in class DifferentialFunction
target
- the target fieldvalue
- the value to setpublic Map<String,Object> propertiesForFunction()
DifferentialFunction
propertiesForFunction
in class DifferentialFunction
public boolean isConfigProperties()
DifferentialFunction
isConfigProperties
in class DifferentialFunction
public String configFieldName()
DifferentialFunction
DifferentialFunction.isConfigProperties()
to facilitate mapping fields for model import.configFieldName
in class DifferentialFunction
public String opName()
DynamicCustomOp
opName
in interface CustomOp
opName
in class DynamicCustomOp
public List<SDVariable> doDiff(List<SDVariable> f1)
DifferentialFunction
doDiff
in class DynamicCustomOp
public void initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph)
DifferentialFunction
NodeDef
initFromTensorFlow
in class DynamicCustomOp
public void initFromOnnx(OnnxProto3.NodeProto node, SameDiff initWith, Map<String,OnnxProto3.AttributeProto> attributesForNode, OnnxProto3.GraphProto graph)
DifferentialFunction
OnnxProto3.NodeProto
initFromOnnx
in class DynamicCustomOp
public String getPoolingPrefix()
public String onnxName()
DifferentialFunction
onnxName
in class DynamicCustomOp
public String tensorflowName()
DifferentialFunction
tensorflowName
in class DynamicCustomOp
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