tf.zeros_like

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Creates a tensor with all elements set to zero.

tf.zeros_like(
    input, dtype=None, name=None
)

See also tf.zeros.

Given a single tensor or array-like object (input), this operation returns a tensor of the same type and shape as input with all elements set to zero. Optionally, you can use dtype to specify a new type for the returned tensor.

Examples:

tensor = tf.constant([[1, 2, 3], [4, 5, 6]])
tf.zeros_like(tensor)
<tf.Tensor: shape=(2, 3), dtype=int32, numpy=
array([[0, 0, 0],
       [0, 0, 0]], dtype=int32)>

tf.zeros_like(tensor, dtype=tf.float32)
<tf.Tensor: shape=(2, 3), dtype=float32, numpy=
array([[0., 0., 0.],
       [0., 0., 0.]], dtype=float32)>

tf.zeros_like([[1, 2, 3], [4, 5, 6]])
<tf.Tensor: shape=(2, 3), dtype=int32, numpy=
array([[0, 0, 0],
       [0, 0, 0]], dtype=int32)>

Args
input	A Tensor or array-like object.
dtype	A type for the returned Tensor. Must be float16, float32, float64, int8, uint8, int16, uint16, int32, int64, complex64, complex128, bool or string (optional).
name	A name for the operation (optional).

Returns
A Tensor with all elements set to zero.