Batch normalization.

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.

Args | |
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`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). |

Returns | |
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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` . |

© 2020 The TensorFlow Authors. All rights reserved.

Licensed under the Creative Commons Attribution License 3.0.

Code samples licensed under the Apache 2.0 License.

https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/FusedBatchNormV2