# tf.raw_ops.FusedBatchNormV2

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Batch normalization.

#### View aliases


**Compat aliases for migration**

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

[`tf.compat.v1.raw_ops.FusedBatchNormV2`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/FusedBatchNormV2)

<br />

    tf.raw_ops.FusedBatchNormV2(
        x,
        scale,
        offset,
        mean,
        variance,
        epsilon=0.0001,
        exponential_avg_factor=1,
        data_format='NHWC',
        is_training=True,
        name=None
    )

Note that the size of 4D Tensors are defined by either "NHWC" or "NCHW".
The size of 1D Tensors matches the dimension C of the 4D Tensors.

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| ## Args ||
|---|---|
| `x` | A `Tensor`. Must be one of the following types: `half`, `bfloat16`, `float32`. A 4D Tensor for input data. |
| `scale` | A `Tensor`. Must be one of the following types: `float32`. A 1D Tensor for scaling factor, to scale the normalized x. |
| `offset` | A `Tensor`. Must have the same type as `scale`. A 1D Tensor for offset, to shift to the normalized x. |
| `mean` | A `Tensor`. Must have the same type as `scale`. A 1D Tensor for population mean. Used for inference only; must be empty for training. |
| `variance` | A `Tensor`. Must have the same type as `scale`. A 1D Tensor for population variance. Used for inference only; must be empty for training. |
| `epsilon` | An optional `float`. Defaults to `0.0001`. A small float number added to the variance of x. |
| `exponential_avg_factor` | An optional `float`. Defaults to `1`. |
| `data_format` | An optional `string` from: `"NHWC", "NCHW"`. Defaults to `"NHWC"`. The data format for x and y. Either "NHWC" (default) or "NCHW". |
| `is_training` | An optional `bool`. Defaults to `True`. A bool value to indicate the operation is for training (default) or inference. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A tuple of `Tensor` objects (y, batch_mean, batch_variance, reserve_space_1, reserve_space_2). ||
| `y` | A `Tensor`. Has the same type as `x`. |
| `batch_mean` | A `Tensor`. Has the same type as `scale`. |
| `batch_variance` | A `Tensor`. Has the same type as `scale`. |
| `reserve_space_1` | A `Tensor`. Has the same type as `scale`. |
| `reserve_space_2` | A `Tensor`. Has the same type as `scale`. |

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