tf.raw_ops.QuantizedResizeBilinear

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Resize quantized images to size using quantized bilinear interpolation.

Input images and output images must be quantized types.

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).

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.