tf.keras.ops.moments | TensorFlow v2.16.1 (original) (raw)
tf.keras.ops.moments
Calculates the mean and variance of x.
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Main aliases
tf.keras.ops.moments(
x, axes, keepdims=False, synchronized=False
)
The mean and variance are calculated by aggregating the contents of xacross axes. If x is 1-D and axes = [0] this is just the mean and variance of a vector.
| Args | |
|---|---|
| x | Input tensor. |
| axes | A list of axes which to compute mean and variance. |
| keepdims | If this is set to True, the axes which are reduced are left in the result as dimensions with size one. |
| synchronized | Only applicable with the TensorFlow backend. If True, synchronizes the global batch statistics (mean and variance) across all devices at each training step in a distributed training strategy. If False, each replica uses its own local batch statistics. |
| Returns |
|---|
| A tuple containing two tensors - mean and variance. |
Example:
x = keras.ops.convert_to_tensor([0, 1, 2, 3, 100], dtype="float32")
keras.ops.moments(x, axes=[0])
(array(21.2, dtype=float32), array(1553.3601, dtype=float32))
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Last updated 2024-06-07 UTC.