tensorflow:: ops:: Min

#include <math_ops.h>

Computes the minimum of elements across dimensions of a tensor.

Summary

Reduces input along the dimensions given in axis . Unless keep_dims is true, the rank of the tensor is reduced by 1 for each entry in axis . If keep_dims is true, the reduced dimensions are retained with length 1.

Args:

• scope: A Scope object
• input: The tensor to reduce.
• axis: The dimensions to reduce. Must be in the range [-rank(input), rank(input)) .

Optional attributes (see Attrs ):

• keep_dims: If true, retain reduced dimensions with length 1.

Returns:

• Output : The reduced tensor.

Aliases:

• ReduceMin

Constructors and Destructors
Min (const :: tensorflow::Scope & scope, :: tensorflow::Input input, :: tensorflow::Input axis)
Min (const :: tensorflow::Scope & scope, :: tensorflow::Input input, :: tensorflow::Input axis, const Min::Attrs & attrs)

Public attributes
operation	Operation
output	:: tensorflow::Output

Public functions
node () const	::tensorflow::Node *
operator::tensorflow::Input () const
operator::tensorflow::Output () const

Public static functions
KeepDims (bool x)	Attrs

Structs
tensorflow:: ops:: Min:: Attrs	Optional attribute setters for Min .

Public attributes

operation

Operation operation

output

::tensorflow::Output output

Public functions

Min

 Min(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input axis
)

Min

 Min(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  ::tensorflow::Input axis,
  const Min::Attrs & attrs
)

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

Public static functions

KeepDims

Attrs KeepDims(
  bool x
)