tensorflow:: ops:: Cumsum
#include <math_ops.h>
Compute the cumulative sum of the tensor x
along axis
.
Summary
By default, this op performs an inclusive cumsum, which means that the first element of the input is identical to the first element of the output:
tf.cumsum([a, b, c]) # => [a, a + b, a + b + c]
By setting the exclusive
kwarg to True
, an exclusive cumsum is performed instead:
tf.cumsum([a, b, c], exclusive=True) # => [0, a, a + b]
By setting the reverse
kwarg to True
, the cumsum is performed in the opposite direction:
tf.cumsum([a, b, c], reverse=True) # => [a + b + c, b + c, c]
This is more efficient than using separate tf.reverse
ops.
The reverse
and exclusive
kwargs can also be combined:
tf.cumsum([a, b, c], exclusive=True, reverse=True) # => [b + c, c, 0]
Args:
- scope: A Scope object
- x: A
Tensor
. Must be one of the following types:float32
,float64
,int64
,int32
,uint8
,uint16
,int16
,int8
,complex64
,complex128
,qint8
,quint8
,qint32
,half
. - axis: A
Tensor
of typeint32
(default: 0). Must be in the range[-rank(x), rank(x))
.
Optional attributes (see Attrs
):
- exclusive: If
True
, perform exclusive cumsum. - reverse: A
bool
(default: False).
Returns:
Output
: The out tensor.
Constructors and Destructors |
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Cumsum(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input axis)
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Cumsum(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input axis, const Cumsum::Attrs & attrs)
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Public attributes |
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operation
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out
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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 static functions |
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Exclusive(bool x)
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Reverse(bool x)
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Structs |
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tensorflow:: |
Optional attribute setters for Cumsum. |
Public attributes
operation
Operation operation
out
::tensorflow::Output out
Public functions
Cumsum
Cumsum( const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input axis )
Cumsum
Cumsum( const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input axis, const Cumsum::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
Exclusive
Attrs Exclusive( bool x )
Reverse
Attrs Reverse( bool x )