টেনসরফ্লো :: অপস:: TensorArraySplit
#include <data_flow_ops.h>
ইনপুট মান থেকে TensorArray উপাদানে ডেটা বিভক্ত করুন।
সারাংশ
ধরে নিচ্ছি যে lengths
মান নেয়
(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 sizent 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
অপারেশন
Operation operation
পাবলিক ফাংশন
TensorArraySplit
TensorArraySplit( const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input value, ::tensorflow::Input lengths, ::tensorflow::Input flow_in )
নোড
::tensorflow::Node * node() const
অপারেটর::টেনসরফ্লো::ইনপুট
operator::tensorflow::Input() const
অপারেটর::টেনসরফ্লো::আউটপুট
operator::tensorflow::Output() const