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.

Args:

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
)