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tf.keras.backend.zeros

TensorFlow 1 version View source on GitHub

Instantiates an all-zeros variable and returns it.

tf.keras.backend.zeros(
    shape,
    dtype=None,
    name=None
)

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:

>>> kvar = tf.keras.backend.zeros((3,4))
>>> tf.keras.backend.eval(kvar)
array([[0.,  0.,  0.,  0.],
       [0.,  0.,  0.,  0.],
       [0.,  0.,  0.,  0.]], dtype=float32)
>>> A = tf.constant([1,2,3])
>>> kvar2 = tf.keras.backend.zeros(A.shape) # [0., 0., 0.]
>>> tf.keras.backend.eval(kvar2)
array([0., 0., 0.], dtype=float32)
>>> kvar3 = tf.keras.backend.zeros(A.shape,dtype=tf.int32)
>>> tf.keras.backend.eval(kvar3)
array([0, 0, 0], dtype=int32)
>>> kvar4 = tf.keras.backend.zeros([2,3])
>>> tf.keras.backend.eval(kvar4)
array([[0., 0., 0.],
       [0., 0., 0.]], dtype=float32)