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

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

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' is [[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 float32, float64, int8, int16, int32, int64, uint8, complex64, or complex128.
• 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.

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