tf.zeros_like

tf.zeros_like(
    tensor,
    dtype=None,
    name=None,
    optimize=True
)

Defined in tensorflow/python/ops/array_ops.py.

See the guide: Constants, Sequences, and Random Values > Constant Value Tensors

Creates a tensor with all elements set to zero.

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

For example:

tensor = tf.constant([[1, 2, 3], [4, 5, 6]])
tf.zeros_like(tensor)  # [[0, 0, 0], [0, 0, 0]]

Args:

  • tensor: A Tensor.
  • dtype: A type for the returned Tensor. Must be float16, float32, float64, int8, uint8, int16, uint16, int32, int64, complex64, complex128, bool or string.
  • name: A name for the operation (optional).
  • optimize: if true, attempt to statically determine the shape of 'tensor' and encode it as a constant.

Returns:

A Tensor with all elements set to zero.