tf.raw_ops.QuantizedResizeBilinear

Resize quantized images to size using quantized bilinear interpolation.

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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.