tensorflow:: ops:: Diag
#include <array_ops.h>
Returns a diagonal tensor with a given diagonal values.
Summary
Given a diagonal
, this operation returns a tensor with the diagonal
and everything else padded with zeros. The diagonal is computed as follows:
Assume diagonal
has dimensions [D1,..., Dk], then the output is a tensor of rank 2k with dimensions [D1,..., Dk, D1,..., Dk] where:
output[i1,..., ik, i1,..., ik] = diagonal[i1, ..., ik]
and 0 everywhere else.
For example:
# 'diagonal' is [1, 2, 3, 4] tf.diag(diagonal) ==> [[1, 0, 0, 0] [0, 2, 0, 0] [0, 0, 3, 0] [0, 0, 0, 4]]
Arguments:
- scope: A Scope object
- diagonal: Rank k tensor where k is at most 1.
Returns:
Output
: The output tensor.
Constructors and Destructors |
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Diag(const ::tensorflow::Scope & scope, ::tensorflow::Input diagonal)
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Public attributes |
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operation
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output
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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
operation
Operation operation
output
::tensorflow::Output output
Public functions
Diag
Diag( const ::tensorflow::Scope & scope, ::tensorflow::Input diagonal )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const