tf.math.sqrt

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Computes element-wise square root of the input tensor.

View aliases

Main aliases

tf.sqrt

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.math.sqrt, tf.compat.v1.sqrt

tf.math.sqrt(
    x, name=None
)

Note: This operation does not support integer types.

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]])>

Note: In order to support complex type, please provide an input tensor of complex64 or complex128.

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, returns SparseTensor(x.indices, tf.math.sqrt(x.values, ...), x.dense_shape)