# tf.raw_ops.QuantizedResizeBilinear

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Resize quantized `images` to `size` using quantized bilinear interpolation.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.QuantizedResizeBilinear`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/QuantizedResizeBilinear)

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    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.

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| ## 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). |

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| ## 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`. |

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