EagerSession.Options

public static class EagerSession.Options

Public Methods

EagerSession.Options	async(boolean value) Controls how operations dispatched are actually executed.
EagerSession	build() Builds an eager session with the selected options.
EagerSession.Options	config(byte[] value) Configures the session based on the data found in the provided buffer, which is serialized TensorFlow config proto.
EagerSession.Options	devicePlacementPolicy(EagerSession.DevicePlacementPolicy value) Controls how to act when we try to run an operation on a given device but some input tensors are not on that device.
EagerSession.Options	resourceCleanupStrategy(EagerSession.ResourceCleanupStrategy value) Controls how TensorFlow resources are cleaned up when no longer needed.

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()

Public Methods

public EagerSession.Options async (boolean value)

Controls how operations dispatched are actually executed.

When set to true, each operation are executed asynchronously (in which case some operations might return "non-ready" outputs). When set to false, all operations are executed synchronously.

Synchronous execution is used by default.

Parameters

value	true for asynchronous execution, false for synchronous.

public EagerSession build ()

Builds an eager session with the selected options.

public EagerSession.Options config (byte[] value)

Configures the session based on the data found in the provided buffer, which is serialized TensorFlow config proto.

Warning: the support of this feature is subject to changes since TensorFlow protos might not be supported on public endpoints in the future.

Parameters

value	a serialized config proto

See Also

• ERROR(href="https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/protobuf/config.proto"/> /)

public EagerSession.Options devicePlacementPolicy (EagerSession.DevicePlacementPolicy value)

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

SILENT is used by default.

Parameters

value	policy to apply

See Also

• EagerSession.DevicePlacementPolicy

public EagerSession.Options resourceCleanupStrategy (EagerSession.ResourceCleanupStrategy value)

Controls how TensorFlow resources are cleaned up when no longer needed.

IN_BACKGROUND is used by default.

Parameters

value	strategy to use

See Also

• EagerSession.ResourceCleanupStrategy