Class MultiDeviceIterator
java.lang.Object
org.tensorflow.op.RawOp
org.tensorflow.op.data.MultiDeviceIterator
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Nested Class Summary
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Field Summary
FieldsModifier and TypeFieldDescriptionstatic final StringThe name of this op, as known by TensorFlow core engine -
Constructor Summary
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Method Summary
Modifier and TypeMethodDescriptionasOutput()Returns the symbolic handle of the tensor.static MultiDeviceIteratorcreate(Scope scope, List<String> devices, String sharedName, String container, List<Class<? extends TType>> outputTypes, List<Shape> outputShapes) Factory method to create a class wrapping a new MultiDeviceIterator operation.handle()Gets handle.
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Field Details
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OP_NAME
The name of this op, as known by TensorFlow core engine- See Also:
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Constructor Details
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MultiDeviceIterator
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Method Details
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create
@Endpoint(describeByClass=true) public static MultiDeviceIterator create(Scope scope, List<String> devices, String sharedName, String container, List<Class<? extends TType>> outputTypes, List<Shape> outputShapes) Factory method to create a class wrapping a new MultiDeviceIterator operation.- Parameters:
scope- current scopedevices- A list of devices the iterator works across.sharedName- If non-empty, this resource will be shared under the given name across multiple sessions.container- If non-empty, this resource is placed in the given container. Otherwise, a default container is used.outputTypes- The type list for the return values.outputShapes- The list of shapes being produced.- Returns:
- a new instance of MultiDeviceIterator
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handle
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asOutput
Description copied from interface:OperandReturns the symbolic handle of the tensor.Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
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