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 |
|
---|---|
Cumsum
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
x, ::
tensorflow::Input
axis)
|
|
Cumsum
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
x, ::
tensorflow::Input
axis, const
Cumsum::Attrs
& attrs)
|
Public attributes |
|
---|---|
operation
|
|
out
|
Public functions |
|
---|---|
node
() const
|
::tensorflow::Node *
|
operator::tensorflow::Input
() const
|
|
operator::tensorflow::Output
() const
|
|
Public static functions |
|
---|---|
Exclusive
(bool x)
|
|
Reverse
(bool x)
|
Structs |
|
---|---|
tensorflow::
|
Optional attribute setters for Cumsum . |
Public attributes
Public functions
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