# tf.math.abs

Computes the absolute value of a tensor.

### Aliases:

• tf.RaggedTensor.__abs__
• tf.Tensor.__abs__
• tf.abs
• tf.compat.v1.RaggedTensor.__abs__
• tf.compat.v1.Tensor.__abs__
• tf.compat.v1.abs
• tf.compat.v1.math.abs
• tf.compat.v2.RaggedTensor.__abs__
• tf.compat.v2.Tensor.__abs__
• tf.compat.v2.abs
• tf.compat.v2.math.abs
• tf.math.abs
tf.math.abs(
x,
name=None
)


Defined in python/ops/math_ops.py.

Given a tensor of integer or floating-point values, this operation returns a tensor of the same type, where each element contains the absolute value of the corresponding element in the input.

Given a tensor x of complex numbers, this operation returns a tensor of type float32 or float64 that is the absolute value of each element in x. All elements in x must be complex numbers of the form $$a + bj$$. The absolute value is computed as $$\sqrt{a^2 + b^2}$$. For example:

x = tf.constant([[-2.25 + 4.75j], [-3.25 + 5.75j]])
tf.abs(x)  # [5.25594902, 6.60492229]


#### Args:

• x: A Tensor or SparseTensor of type float16, float32, float64, int32, int64, complex64 or complex128.
• name: A name for the operation (optional).

#### Returns:

A Tensor or SparseTensor the same size, type, and sparsity as x with absolute values. Note, for complex64 or complex128 input, the returned Tensor will be of type float32 or float64, respectively.

If x is a SparseTensor, returns SparseTensor(x.indices, tf.math.abs(x.values, ...), x.dense_shape)