Function sort

tensorflow/python/ops/sort_ops.py:37–66

Sorts a tensor. Usage: ```python import tensorflow as tf a = [1, 10, 26.9, 2.8, 166.32, 62.3] b = tf.sort(a,axis=-1,direction='ASCENDING',name=None) c = tf.keras.backend.eval(b) # Here, c = [ 1. 2.8 10. 26.9 62.3 166.32] ``` Args: values: 1-D or higher numer

(values, axis=-1, direction='ASCENDING', name=None)

@tf_export('sort')
def sort(values, axis=-1, direction='ASCENDING', name=None):
  """Sorts a tensor.
  
  Usage:

  ```python
  import tensorflow as tf
  a = [1, 10, 26.9, 2.8, 166.32, 62.3]
  b = tf.sort(a,axis=-1,direction='ASCENDING',name=None)
  c = tf.keras.backend.eval(b)
  # Here, c = [  1.     2.8   10.    26.9   62.3  166.32]
  ```
  
  Args:
    values: 1-D or higher numeric `Tensor`.
    axis: The axis along which to sort. The default is -1, which sorts the last
      axis.
    direction: The direction in which to sort the values (`'ASCENDING'` or
      `'DESCENDING'`).
    name: Optional name for the operation.

  Returns:
    A `Tensor` with the same dtype and shape as `values`, with the elements
        sorted along the given `axis`.

  Raises:
    ValueError: If axis is not a constant scalar, or the direction is invalid.
  """
  with framework_ops.name_scope(name, 'sort'):
    return _sort_or_argsort(values, axis, direction, return_argsort=False)


@tf_export('argsort')