tensorflow::
#include <math_ops.h>
Compute the cumulative product of the tensor x along axis. 
Summary
By default, this op performs an inclusive cumprod, which means that the first element of the input is identical to the first element of the output:
tf.cumprod([a, b, c])  # => [a, a * b, a * b * c]By setting the exclusive kwarg to True, an exclusive cumprod is performed instead:
tf.cumprod([a, b, c], exclusive=True) # => [1, a, a * b]
By setting the reverse kwarg to True, the cumprod is performed in the opposite direction:
tf.cumprod([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.cumprod([a, b, c], exclusive=True, reverse=True) # => [b * c, c, 1]
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 Tensorof typeint32(default: 0). Must be in the range[-rank(x), rank(x)).
Optional attributes (see Attrs):
- exclusive: If True, perform exclusive cumprod.
- reverse: A bool(default: False).
Returns:
- Output: The out tensor.
| Constructors and Destructors | |
|---|---|
| Cumprod(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input axis) | |
| Cumprod(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input axis, const Cumprod::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 Cumprod. | 
Public attributes
operation
Operation operation
out
::tensorflow::Output out
Public functions
Cumprod
Cumprod( const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input axis )
Cumprod
Cumprod( const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input axis, const Cumprod::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 )