# tf.compat.v2.ones_like

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/ops/array_ops.py#L2486-L2515) |

Creates a tensor with all elements set to one.

    tf.compat.v2.ones_like(
        input, dtype=None, name=None
    )

Given a single tensor (`tensor`), this operation returns a tensor of the
same type and shape as `tensor` with all elements set to 1. 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.ones_like(tensor)  # [[1, 1, 1], [1, 1, 1]]

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| ## Args ||
|---|---|
| `input` | 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). |

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

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