Input images and output images must be quantized types.
Args
images
A Tensor. Must be one of the following types: quint8, qint32, float32.
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.
min
A Tensor of type float32.
max
A Tensor of type float32.
align_corners
An optional bool. Defaults to False.
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.
half_pixel_centers
An optional bool. Defaults to False.
name
A name for the operation (optional).
Returns
A tuple of Tensor objects (resized_images, out_min, out_max).
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-01-23 UTC."],[],[]]