टेंसरफ़्लो:: ऑप्स:: टेंसरअरेस्प्लिट
#include <data_flow_ops.h>इनपुट मान से डेटा को TensorArray तत्वों में विभाजित करें।
सारांश
 यह मानते हुए कि lengths मान लेती है
(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 ...```Arguments:
- scope: A Scope object
 - 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.
 - flow_in: A float scalar that enforces proper chaining of operations.
 
Returns:
Output: A float scalar that enforces proper chaining of operations.
        Constructors and Destructors | 
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        TensorArraySplit(const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input value, ::tensorflow::Input lengths, ::tensorflow::Input flow_in)
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        Public attributes | 
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        flow_out
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        operation
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        Public functions | 
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        node() const 
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        ::tensorflow::Node *
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        operator::tensorflow::Input() const 
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        operator::tensorflow::Output() const 
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Public attributes
संचालन
Operation operation
सार्वजनिक समारोह
टेंसरअरेस्प्लिट
TensorArraySplit( const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input value, ::tensorflow::Input lengths, ::tensorflow::Input flow_in )
नोड
::tensorflow::Node * node() const
ऑपरेटर::टेन्सरफ़्लो::इनपुट
operator::tensorflow::Input() const
ऑपरेटर::टेन्सरफ़्लो::आउटपुट
operator::tensorflow::Output() const