parameters: (shape, dtype=None, name=None)
docstring: Instantiates an all-zeros variable and returns it.
  
    Arguments:
        shape: Tuple or list of integers, shape of returned Keras variable
        dtype: data type of returned Keras variable
        name: name of returned Keras variable
  
    Returns:
        A variable (including Keras metadata), filled with `0.0`.
        Note that if `shape` was symbolic, we cannot return a variable,
        and will return a dynamically-shaped tensor instead.
  
    Example:
  
    ```python
    from tensorflow.keras import backend as K
    kvar = K.zeros((3,4))
    K.eval(kvar)
    # array([[ 0.,  0.,  0.,  0.], [ 0.,  0.,  0.,  0.],
    #       [ 0.,  0.,  0.,  0.]], dtype=float32)
    A = tf.constant([1,2,3])
    kvar2 = K.zeros(A.shape) # [0., 0., 0.] float32 by default
    kvar3 = K.zeros(A.shape,dtype=tf.int32) # [0, 0, 0] with int32 dtype
    kvar4 = K.zeros([2,3]) # [[0., 0., 0.], [0., 0., 0.]]
    ```
docstring_summary: Instantiates an all-zeros variable and returns it.
docstring_tokens: Instantiates an all - zeros variable and returns it .
function: def zeros(shape, dtype=None, name=None):
    """Instantiates an all-zeros variable and returns it.
  
    Arguments:
        shape: Tuple or list of integers, shape of returned Keras variable
        dtype: data type of returned Keras variable
        name: name of returned Keras variable
  
    Returns:
        A variable (including Keras metadata), filled with `0.0`.
        Note that if `shape` was symbolic, we cannot return a variable,
        and will return a dynamically-shaped tensor instead.
  
    Example:
  
    ```python
    from tensorflow.keras import backend as K
    kvar = K.zeros((3,4))
    K.eval(kvar)
    # array([[ 0.,  0.,  0.,  0.], [ 0.,  0.,  0.,  0.],
    #       [ 0.,  0.,  0.,  0.]], dtype=float32)
    A = tf.constant([1,2,3])
    kvar2 = K.zeros(A.shape) # [0., 0., 0.] float32 by default
    kvar3 = K.zeros(A.shape,dtype=tf.int32) # [0, 0, 0] with int32 dtype
    kvar4 = K.zeros([2,3]) # [[0., 0., 0.], [0., 0., 0.]]
    ```
  
    """
    with ops.init_scope():
      if dtype is None:
        dtype = floatx()
      tf_dtype = dtypes_module.as_dtype(dtype)
      v = array_ops.zeros(shape=shape, dtype=tf_dtype, name=name)
      if py_all(v.shape.as_list()):
        return variable(v, dtype=dtype, name=name)
      track_variable(v)
      return v
function_tokens: def zeros ( shape , dtype = None , name = None ) : with ops . init_scope ( ) : if dtype is None : dtype = floatx ( ) tf_dtype = dtypes_module . as_dtype ( dtype ) v = array_ops . zeros ( shape = shape , dtype = tf_dtype , name = name ) if py_all ( v . shape . as_list ( ) ) : return variable ( v , dtype = dtype , name = name ) track_variable ( v ) return v