# tf.raw_ops.LRNGrad

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Gradients for Local Response Normalization.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.LRNGrad(
        input_grads,
        input_image,
        output_image,
        depth_radius=5,
        bias=1,
        alpha=1,
        beta=0.5,
        name=None
    )

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| ## Args ||
|---|---|
| `input_grads` | A `Tensor`. Must be one of the following types: `half`, `bfloat16`, `float32`. 4-D with shape `[batch, height, width, channels]`. |
| `input_image` | A `Tensor`. Must have the same type as `input_grads`. 4-D with shape `[batch, height, width, channels]`. |
| `output_image` | A `Tensor`. Must have the same type as `input_grads`. 4-D with shape `[batch, height, width, channels]`. |
| `depth_radius` | An optional `int`. Defaults to `5`. A depth radius. |
| `bias` | An optional `float`. Defaults to `1`. An offset (usually \> 0 to avoid dividing by 0). |
| `alpha` | An optional `float`. Defaults to `1`. A scale factor, usually positive. |
| `beta` | An optional `float`. Defaults to `0.5`. An exponent. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A `Tensor`. Has the same type as `input_grads`. ||

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