# tf.compat.v1.zeros_like

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.13.1/tensorflow/python/ops/array_ops.py#L2864-L2901) |

Creates a tensor with all elements set to zero.

    tf.compat.v1.zeros_like(
        tensor, dtype=None, name=None, optimize=True
    )

See also [`tf.zeros`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/zeros).

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.

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| ## Examples ||
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| <br /> >>> 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)> <br /> ||

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| ## Args ||
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| `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`. (optional) |
| `name` | A name for the operation (optional). |
| `optimize` | if `True`, attempt to statically determine the shape of `tensor` and encode it as a constant. (optional, defaults to `True`) |

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| ## Returns ||
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| A `Tensor` with all elements set to zero. ||

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