tensorflow::ops::QuantizedResizeBilinear

Resize quantized images to size using quantized bilinear interpolation.

Summary

Input images and output images must be quantized types.

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:

• Output resized_images: 4-D with shape [batch, new_height, new_width, channels].
• Output out_min
• Output out_max

Public attributes

Operation operation

::tensorflow::Output out_max

::tensorflow::Output out_min

::tensorflow::Output resized_images

Public functions

 QuantizedResizeBilinear(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input images,
  ::tensorflow::Input size,
  ::tensorflow::Input min,
  ::tensorflow::Input max
)

 QuantizedResizeBilinear(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input images,
  ::tensorflow::Input size,
  ::tensorflow::Input min,
  ::tensorflow::Input max,
  const QuantizedResizeBilinear::Attrs & attrs
)

Public static functions

Attrs AlignCorners(
  bool x
)

Attrs HalfPixelCenters(
  bool x
)