| Package | Description |
|---|---|
| org.nd4j.autodiff.samediff.internal |
| Modifier and Type | Field and Description |
|---|---|
protected Map<String,AbstractSession.FrameIter> |
AbstractSession.frameParents
Map for exit ops.
|
| Modifier and Type | Method and Description |
|---|---|
AbstractSession.FrameIter |
AbstractSession.FrameIter.clone() |
AbstractSession.FrameIter |
AbstractSession.VarId.toFrameIter() |
| Modifier and Type | Method and Description |
|---|---|
boolean |
AbstractSession.contains(String variable,
String frame,
int iteration,
AbstractSession.FrameIter parentFrameIter) |
T |
AbstractSession.get(String variable,
String frame,
int iteration,
AbstractSession.FrameIter parentFrameIter)
Get a previously calculated output; throws an exception if the output does not exist
|
T |
AbstractSession.get(String variable,
String frame,
int iteration,
AbstractSession.FrameIter parentFrameIter,
boolean enforceExistence)
Get a previously calculated output
|
DataTypesSession.DataTypeCalc |
DataTypesSession.getAndParameterizeOp(String opName,
AbstractSession.FrameIter frameIter,
Set<AbstractSession.VarId> inputs,
Set<AbstractSession.VarId> allIterInputs,
Set<String> constAndPhInputs,
Map<String,DataType> placeholderValues) |
DifferentialFunction |
InferenceSession.getAndParameterizeOp(String opName,
AbstractSession.FrameIter frameIter,
Set<AbstractSession.VarId> opInputs,
Set<AbstractSession.VarId> allIterInputs,
Set<String> constAndPhInputs,
Map<String,INDArray> placeholderValues) |
abstract O |
AbstractSession.getAndParameterizeOp(String opName,
AbstractSession.FrameIter frameIter,
Set<AbstractSession.VarId> inputs,
Set<AbstractSession.VarId> allIterInputs,
Set<String> constAndPhInputs,
Map<String,T> placeholderValues)
Get the parameterized op to execute - for example, the op/DifferentialFunction with all inputs set
|
DataType[] |
DataTypesSession.getOutputs(DataTypesSession.DataTypeCalc op,
AbstractSession.FrameIter outputFrameIter,
Set<AbstractSession.VarId> inputs,
Set<AbstractSession.VarId> allIterInputs,
Set<String> constAndPhInputs,
List<Listener> listeners,
At at,
MultiDataSet batch) |
INDArray[] |
InferenceSession.getOutputs(DifferentialFunction op,
AbstractSession.FrameIter outputFrameIter,
Set<AbstractSession.VarId> opInputs,
Set<AbstractSession.VarId> allIterInputs,
Set<String> constAndPhInputs,
List<Listener> listeners,
At at,
MultiDataSet batch) |
abstract T[] |
AbstractSession.getOutputs(O op,
AbstractSession.FrameIter outputFrameIter,
Set<AbstractSession.VarId> inputs,
Set<AbstractSession.VarId> allIterInputs,
Set<String> constAndPhInputs,
List<Listener> listeners,
At at,
MultiDataSet batch)
Execute the op - calculate INDArrays, or shape info, etc
|
INDArray[] |
InferenceSession.getOutputsHelper(DifferentialFunction op,
AbstractSession.FrameIter outputFrameIter,
Set<AbstractSession.VarId> opInputs,
Set<AbstractSession.VarId> allIterInputs,
Set<String> constAndPhInputs) |
AbstractSession.VarId |
AbstractSession.newVarId(String variable,
AbstractSession.FrameIter frameIter) |
AbstractSession.VarId |
AbstractSession.newVarId(String variable,
String frame,
int iteration,
AbstractSession.FrameIter parentFrameIter) |
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