Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
TPUExecuteAndUpdateVariables
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Op that executes a program with optional in-place variable updates.
It (optionally) reads device variables, loads and executes a TPU program on a
TPU device, and then (optionally) in-place updates variables using the program
outputs, as specified in attributes device_var_reads_indices (program input
indices from directly reading variables) and device_var_updates_indices (program
output indices used to update variables, -1 means no-update/read-only). Such
program outputs are consumed by these variables will not appear in the op
output. For the internal use of the distributed TPU compiler.
Inherited Methods
From class
java.lang.Object
boolean
|
equals(Object arg0)
|
final
Class<?>
|
getClass()
|
int
|
hashCode()
|
final
void
|
notify()
|
final
void
|
notifyAll()
|
String
|
toString()
|
final
void
|
wait(long arg0, int arg1)
|
final
void
|
wait(long arg0)
|
final
void
|
wait()
|
From interface
java.lang.Iterable
void
|
forEach(Consumer<? super T> arg0)
|
abstract
Iterator<Operand<Object>>
|
iterator()
|
Spliterator<Operand<Object>>
|
spliterator()
|
Public Methods
public
static
TPUExecuteAndUpdateVariables
create
(Scope scope, Iterable<Operand<?>> args, Operand<String> key, List<Class<?>> Tresults, List<Long> deviceVarReadsIndices, List<Long> deviceVarUpdatesIndices)
Factory method to create a class wrapping a new TPUExecuteAndUpdateVariables operation.
Returns
- a new instance of TPUExecuteAndUpdateVariables
public
Iterator<Operand<Object>>
iterator
()
public
List<Output<?>>
results
()
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Last updated 2022-02-12 UTC.
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