टेंसरफ़्लो :: ऑप्स :: TensorArraySplit
#include <data_flow_ops.h>TensorArray तत्वों में इनपुट मान से डेटा विभाजित करें।
सारांश
मान लें कि lengths मानों पर ले जाता 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
flow_out
::tensorflow::Output flow_out
ऑपरेशन
Operation operation
सार्वजनिक कार्य
TensorArraySplit
TensorArraySplit( const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input value, ::tensorflow::Input lengths, ::tensorflow::Input flow_in )
नोड
::tensorflow::Node * node() const
ऑपरेटर :: टेंसरफ़्लो :: इनपुट
operator::tensorflow::Input() constहै
ऑपरेटर :: टेंसरफ़्लो :: आउटपुट
operator::tensorflow::Output() const