tf.raw_ops.QuantizedResizeBilinear

Resize quantized images to size using quantized bilinear interpolation.

Compat aliases for migration

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`.

© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/raw_ops/QuantizedResizeBilinear

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