# tf.raw_ops.ResizeBilinear

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Resize `images` to `size` using 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.ResizeBilinear`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/ResizeBilinear)

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    tf.raw_ops.ResizeBilinear(
        images, size, align_corners=False, half_pixel_centers=False, name=None
    )

Input images can be of different types but output images are always float.

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| ## Args ||
|---|---|
| `images` | A `Tensor`. Must be one of the following types: `int8`, `uint8`, `int16`, `uint16`, `int32`, `int64`, `bfloat16`, `half`, `float32`, `float64`, `bfloat16`. 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. |
| `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 `Tensor` of type `float32`. ||

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