Function ndim

tensorflow/python/keras/backend.py:1188–1212

Returns the number of axes in a tensor, as an integer. Arguments: x: Tensor or variable. Returns: Integer (scalar), number of axes. Examples: ```python >>> from keras import backend as K >>> input = K.placeholder(shape=(2, 4, 5)) >>> val = np.array([[1, 2], [3, 4]]) >>

(x)

@keras_export('keras.backend.ndim')
def ndim(x):
  """Returns the number of axes in a tensor, as an integer.

  Arguments:
      x: Tensor or variable.

  Returns:
      Integer (scalar), number of axes.

  Examples:
  ```python
  >>> from keras import backend as K
  >>> input = K.placeholder(shape=(2, 4, 5))
  >>> val = np.array([[1, 2], [3, 4]])
  >>> kvar = K.variable(value=val)
  >>> K.ndim(input)
  3
  >>> K.ndim(kvar)
  2
  ```
  """
  dims = x.shape._dims
  if dims is not None:
    return len(dims)
  return None


@keras_export('keras.backend.dtype')