tensorflow:: ops:: Cumprod

#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 Tensor of type int32 (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:

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:: ops:: Cumprod:: Attrs

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
)