tf.compat.v1.math.square

Computes square of x element-wise.

tf.compat.v1.math.square(
    x: Annotated[Any, tf.raw_ops.Any],
    name=None
) -> Annotated[Any, tf.raw_ops.Any]

I.e., \(y = x * x = x^2\).

tf.math.square([-2., 0., 3.])
<tf.Tensor: shape=(3,), dtype=float32, numpy=array([4., 0., 9.], dtype=float32)>

Args
x	A Tensor. Must be one of the following types: bfloat16, half, float32, float64, int8, int16, int32, int64, uint8, uint16, uint32, uint64, 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.square(x.values, ...), x.dense_shape)