tensorflow:: ops:: TensorArrayScatter
#include <data_flow_ops.h>
Scatter the data from the input value into specific TensorArray elements.
Summary
indices must be a vector, its length must match the first dim of value.
Args:
- scope: A Scope object
 - handle: The handle to a TensorArray.
 - indices: The locations at which to write the tensor elements.
 - value: The concatenated tensor to write to 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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TensorArrayScatter(const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input indices, ::tensorflow::Input value, ::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
operation
Operation operation
Public functions
TensorArrayScatter
TensorArrayScatter( const ::tensorflow::Scope & scope, ::tensorflow::Input handle, ::tensorflow::Input indices, ::tensorflow::Input value, ::tensorflow::Input flow_in )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const