# tf.raw_ops.ResizeBicubicGrad

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Computes the gradient of bicubic interpolation.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.ResizeBicubicGrad(
        grads,
        original_image,
        align_corners=False,
        half_pixel_centers=False,
        name=None
    )

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| ## Args ||
|---|---|
| `grads` | A `Tensor` of type `float32`. 4-D with shape `[batch, height, width, channels]`. |
| `original_image` | A `Tensor`. Must be one of the following types: `float32`, `float64`. 4-D with shape `[batch, orig_height, orig_width, channels]`, The image tensor that was resized. |
| `align_corners` | An optional `bool`. Defaults to `False`. If true, the centers of the 4 corner pixels of the input and grad tensors are aligned. 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`. Has the same type as `original_image`. ||

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