public class TensorMmul extends DynamicCustomOp
DynamicCustomOp.DynamicCustomOpsBuilder, DynamicCustomOp.SameDiffBuilder
Modifier and Type | Field and Description |
---|---|
protected boolean |
addedEdges |
protected MMulTranspose |
mMulTranspose |
axis, bArguments, iArguments, inplaceCall, inputArguments, outputArguments, outputVariables, tArguments
dimensions, extraArgs, inPlace, sameDiff, scalarValue
Constructor and Description |
---|
TensorMmul(INDArray x,
INDArray y,
INDArray z,
int[][] axes)
Initialize with the given
input, pairwise transform, result, and number
of elements
|
TensorMmul(INDArray x,
INDArray y,
int[][] axes) |
TensorMmul(SameDiff sameDiff,
SDVariable i_v1,
SDVariable i_v2,
int[][] dimensions) |
TensorMmul(SameDiff sameDiff,
SDVariable i_v1,
SDVariable i_v2,
int[][] dimensions,
MMulTranspose mMulTranspose) |
Modifier and Type | Method and Description |
---|---|
List<LongShapeDescriptor> |
calculateOutputShape()
Calculate the output shape for this op
|
List<SDVariable> |
doDiff(List<SDVariable> i_v1)
The actual implementation for automatic differentiation.
|
boolean |
equals(Object o) |
int |
hashCode() |
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 |
String |
onnxName()
The opName of this function in onnx
|
String |
opName()
This method returns op opName as string
|
Op.Type |
opType()
The type of the op
|
String |
tensorflowName()
The opName of this function tensorflow
|
addBArgument, addIArgument, addIArgument, addInputArgument, addOutputArgument, addTArgument, assertValidForExecution, bArgs, builder, getBArgument, getDescriptor, getIArgument, getInputArgument, getOutputArgument, getTArgument, iArgs, inputArguments, numBArguments, numIArguments, numInputArguments, numOutputArguments, numTArguments, opHash, opNum, outputArguments, outputVariables, outputVariables, removeIArgument, removeInputArgument, removeOutputArgument, removeTArgument, sameDiffBuilder, setInputArgument, setInputArguments, setOutputArgument, tArgs, toString
arg, arg, argNames, args, attributeAdaptersForFunction, calculateOutputDataTypes, configFieldName, diff, dup, f, getNumOutputs, getValue, isConfigProperties, larg, mappingsForFunction, onnxNames, outputVariable, outputVariablesNames, propertiesForFunction, rarg, resolvePropertiesFromSameDiffBeforeExecution, setInstanceId, setPropertiesForFunction, setValueFor, tensorflowNames
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
isInplaceCall
protected boolean addedEdges
protected MMulTranspose mMulTranspose
public TensorMmul(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, int[][] dimensions)
public TensorMmul(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, int[][] dimensions, MMulTranspose mMulTranspose)
public List<LongShapeDescriptor> calculateOutputShape()
DifferentialFunction
calculateOutputShape
in interface CustomOp
calculateOutputShape
in class DynamicCustomOp
public List<SDVariable> doDiff(List<SDVariable> i_v1)
DifferentialFunction
doDiff
in class DynamicCustomOp
public String opName()
DynamicCustomOp
opName
in interface CustomOp
opName
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 boolean equals(Object o)
equals
in class DifferentialFunction
public int hashCode()
hashCode
in class DifferentialFunction
public Op.Type opType()
DifferentialFunction
opType
in class DynamicCustomOp
public String onnxName()
DifferentialFunction
onnxName
in class DynamicCustomOp
public String tensorflowName()
DifferentialFunction
tensorflowName
in class DynamicCustomOp
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