public final class
SparseApplyAdadelta
var: Should be from a Variable().
Nested Classes
class | SparseApplyAdadelta.Options | Optional attributes for SparseApplyAdadelta
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Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<T> |
asOutput()
Returns the symbolic handle of the tensor.
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static <T extends TType> SparseApplyAdadelta<T> | |
Output<T> |
out()
Same as "var".
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static SparseApplyAdadelta.Options |
useLocking(Boolean useLocking)
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"SparseApplyAdadelta"
Public Methods
public Output<T> asOutput ()
Returns 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.
public static SparseApplyAdadelta<T> create (Scope scope, Operand<T> var, Operand<T> accum, Operand<T> accumUpdate, Operand<T> lr, Operand<T> rho, Operand<T> epsilon, Operand<T> grad, Operand<? extends TNumber> indices, Options... options)
Factory method to create a class wrapping a new SparseApplyAdadelta operation.
Parameters
scope | current scope |
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accum | Should be from a Variable(). |
accumUpdate | : Should be from a Variable(). |
lr | Learning rate. Must be a scalar. |
rho | Decay factor. Must be a scalar. |
epsilon | Constant factor. Must be a scalar. |
grad | The gradient. |
indices | A vector of indices into the first dimension of var and accum. |
options | carries optional attributes values |
Returns
- a new instance of SparseApplyAdadelta
public static SparseApplyAdadelta.Options useLocking (Boolean useLocking)
Parameters
useLocking | If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention. |
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