tf.math.sign | TensorFlow v2.16.1 (original) (raw)
tf.math.sign
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Returns an element-wise indication of the sign of a number.
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tf.math.sign(
x, name=None
)
Used in the notebooks
Used in the tutorials |
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Adversarial example using FGSM Tutorial on Multi Armed Bandits in TF-Agents |
y = sign(x) = -1 if x < 0; 0 if x == 0; 1 if x > 0
.
For complex numbers, y = sign(x) = x / |x| if x != 0, otherwise y = 0
.
Example usage:
# real number
tf.math.sign([0., 2., -3.])
<tf.Tensor: shape=(3,), dtype=float32,
numpy=array([ 0., 1., -1.], dtype=float32)>
# complex number
tf.math.sign([1 + 1j, 0 + 0j])
<tf.Tensor: shape=(2,), dtype=complex128,
numpy=array([0.70710678+0.70710678j, 0. +0.j ])>
Args | |
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x | A Tensor. Must be one of the following types: bfloat16, half, float32, float64, int32, int64, complex64, complex128. |
name | A name for the operation (optional). |
Returns |
---|
A Tensor. Has the same type as x.If x is a SparseTensor, returns SparseTensor(x.indices, tf.math.sign(x.values, ...), x.dense_shape). If x is a SparseTensor, returnsSparseTensor(x.indices, tf.math.sign(x.values, ...), x.dense_shape) |