tf.keras.ops.diff
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Calculate the n-th discrete difference along the given axis.
tf.keras.ops.diff(
a, n=1, axis=-1
)
The first difference is given by out[i] = a[i+1] - a[i] along the given axis, higher differences are calculated by using diff recursively.
Args |
|---|
a | Input tensor. |
n | The number of times values are differenced. Defaults to 1. |
axis | Axis to compute discrete difference(s) along. Defaults to -1.(last axis). |
Returns |
|---|
| Tensor of diagonals. |
Examples:
from keras.src import ops
x = ops.convert_to_tensor([1, 2, 4, 7, 0])
ops.diff(x)
array([ 1, 2, 3, -7])
ops.diff(x, n=2)
array([ 1, 1, -10])
x = ops.convert_to_tensor([[1, 3, 6, 10], [0, 5, 6, 8]])
ops.diff(x)
array([[2, 3, 4],
[5, 1, 2]])
ops.diff(x, axis=0)
array([[-1, 2, 0, -2]])
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Last updated 2024-06-07 UTC.
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