Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
TensorArraySplit
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Split the data from the input value into TensorArray elements.
Assuming that `lengths` takes on values
(n0, n1, ..., n(T-1))
and that `value` has shape
(n0 + n1 + ... + n(T-1) x d0 x d1 x ...),
this splits values into a TensorArray with T tensors.
TensorArray index t will be the subtensor of values with starting position
(n0 + n1 + ... + n(t-1), 0, 0, ...)
and having size
nt x d0 x d1 x ...
Inherited Methods
From class
java.lang.Object
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boolean
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equals(Object arg0)
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final
Class<?>
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getClass()
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int
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hashCode()
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final
void
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notify()
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final
void
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notifyAll()
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String
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toString()
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final
void
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wait(long arg0, int arg1)
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final
void
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wait(long arg0)
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final
void
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wait()
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Public Methods
public
Output<Float>
asOutput
()
Returns the symbolic handle of a 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.
Factory method to create a class wrapping a new TensorArraySplit operation.
Parameters
| scope |
current scope |
| handle |
The handle to a TensorArray. |
| value |
The concatenated tensor to write to the TensorArray. |
| lengths |
The vector of lengths, how to split the rows of value into the
TensorArray. |
| flowIn |
A float scalar that enforces proper chaining of operations. |
Returns
- a new instance of TensorArraySplit
public
Output<Float>
flowOut
()
A float scalar that enforces proper chaining of operations.
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Last updated 2023-03-23 UTC.
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