tf.math.sqrt

Computes element-wise square root of the input tensor.

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

Used in the notebooks

Used in the guide Used in the tutorials 
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]])>

x A tf.Tensor of type bfloat16, half, float32, float64, complex64, complex128
name A name for the operation (optional).

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)