Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

EagerSession.DevicePlacementPolicy

public static final enum EagerSession.DevicePlacementPolicy

Controls how to act when we try to run an operation on a given device but some input tensors are not on that device.

Inherited Methods

From class java.lang.Enum

final int	compareTo(E arg0)
int	compareTo(Object arg0)
final boolean	equals(Object arg0)
final Class<E>	getDeclaringClass()
final int	hashCode()
final String	name()
final int	ordinal()
String	toString()
static <T extends Enum<T>> T	valueOf(Class<T> arg0, String arg1)

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.Comparable

abstract int

compareTo(E extends Enum<E> arg0)

Enum Values

public static final EagerSession.DevicePlacementPolicy EXPLICIT

Running operations with input tensors on the wrong device will fail.

public static final EagerSession.DevicePlacementPolicy SILENT

Silently copy the tensor, which has a performance cost since the operation will be blocked till the copy completes. This is the default placement policy.

public static final EagerSession.DevicePlacementPolicy SILENT_FOR_INT32

Placement policy which silently copies int32 tensors but not other dtypes.

public static final EagerSession.DevicePlacementPolicy WARN

Copy the tensor to the right device but log a warning.