tensorflow::ops::ResizeBicubic

#include <image_ops.h>

Resize images to size using bicubic interpolation.

Summary

Input images can be of different types but output images are always float.

Arguments:

scope: A Scope object
images: 4-D with shape [batch, height, width, channels].
size: = A 1-D int32 Tensor of 2 elements: new_height, new_width. The new size for the images.

Optional attributes (see Attrs):

align_corners: If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels. Defaults to false.

Returns:

Constructors and Destructors
`ResizeBicubic(const ::tensorflow::Scope & scope, ::tensorflow::Input images, ::tensorflow::Input size)`
`ResizeBicubic(const ::tensorflow::Scope & scope, ::tensorflow::Input images, ::tensorflow::Input size, const ResizeBicubic::Attrs & attrs)`

Public attributes
`operation`	`Operation`
`resized_images`	`::tensorflow::Output`

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

Public static functions
`AlignCorners(bool x)`	`Attrs`
`HalfPixelCenters(bool x)`	`Attrs`

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

Operation operation

::tensorflow::Output resized_images

 ResizeBicubic(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input images,
  ::tensorflow::Input size
)

 ResizeBicubic(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input images,
  ::tensorflow::Input size,
  const ResizeBicubic::Attrs & attrs
)

::tensorflow::Node * node() const

 operator::tensorflow::Input() const

 operator::tensorflow::Output() const

Attrs AlignCorners(
  bool x
)

Attrs HalfPixelCenters(
  bool x
)