Resize quantized images
to size
using quantized bilinear interpolation.
View aliases
Compat aliases for migration
See
Migration guide for
more details.
tf.compat.v1.raw_ops.QuantizedResizeBilinear
tf.raw_ops.QuantizedResizeBilinear(
images,
size,
min,
max,
align_corners=False,
half_pixel_centers=False,
name=None
)
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).
|
resized_images
|
A Tensor . Has the same type as images .
|
out_min
|
A Tensor of type float32 .
|
out_max
|
A Tensor of type float32 .
|