Function abs

tensorflow/python/ops/math_ops.py:247–278

r"""Computes the absolute value of a tensor. 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

(x, name=None)

@tf_export("math.abs", "abs")
@dispatch.add_dispatch_support
def abs(x, name=None):  # pylint: disable=redefined-builtin
  r"""Computes the absolute value of a tensor.

  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:
  ```python
  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.
  """
  with ops.name_scope(name, "Abs", [x]) as name:
    x = ops.convert_to_tensor(x, name="x")
    if x.dtype.is_complex:
      return gen_math_ops.complex_abs(x, Tout=x.dtype.real_dtype, name=name)
    return gen_math_ops._abs(x, name=name)


# pylint: enable=g-docstring-has-escape