tf.math.abs

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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(
    x,
    name=None
)

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)