Public Methods
EagerSession.Options |
async(boolean value)
Controls how operations dispatched are actually executed.
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EagerSession |
build()
Builds an eager session with the selected options.
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EagerSession.Options |
config(byte[] value)
Configures the session based on the data found in the provided buffer, which is serialized
TensorFlow config proto.
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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.
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EagerSession.Options |
resourceCleanupStrategy(EagerSession.ResourceCleanupStrategy value)
Controls how TensorFlow resources are cleaned up when no longer needed.
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Inherited Methods
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. |
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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 |
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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 |
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See Also
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 |
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