tf.compat.v1.math.sqrt | TensorFlow v2.16.1 (original) (raw)
tf.compat.v1.math.sqrt
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Computes element-wise square root of the input tensor.
tf.compat.v1.math.sqrt(
x, name=None
)
x = tf.constant([[4.0], [16.0]])
tf.sqrt(x)
<tf.Tensor: shape=(2, 1), dtype=float32, numpy=
array([[2.],
[4.]], dtype=float32)>
y = tf.constant([[-4.0], [16.0]])
tf.sqrt(y)
<tf.Tensor: shape=(2, 1), dtype=float32, numpy=
array([[nan],
[ 4.]], dtype=float32)>
z = tf.constant([[-1.0], [16.0]], dtype=tf.complex128)
tf.sqrt(z)
<tf.Tensor: shape=(2, 1), dtype=complex128, numpy=
array([[0.0+1.j],
[4.0+0.j]])>
| Args | |
|---|---|
| x | A tf.Tensor of type bfloat16, half, float32, float64,complex64, complex128 |
| name | A name for the operation (optional). |
| Returns |
|---|
| A tf.Tensor of same size, type and sparsity as x.If x is a SparseTensor, returnsSparseTensor(x.indices, tf.math.sqrt(x.values, ...), x.dense_shape) |
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Last updated 2024-04-26 UTC.