tf.zeros_like

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Creates a tensor with all elements set to zero.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.zeros_like

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

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.