# tf.range

<br />

|---|---|
| [![](https://www.tensorflow.org/images/tf_logo_32px.png) TensorFlow 1 version](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/range) | [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.2.0/tensorflow/python/ops/math_ops.py#L1512-L1592) |

Creates a sequence of numbers.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.range`](https://www.tensorflow.org/api_docs/python/tf/range)

<br />

    tf.range(limit, delta=1, dtype=None, name='range')
    tf.range(start, limit, delta=1, dtype=None, name='range')

Creates a sequence of numbers that begins at `start` and extends by
increments of `delta` up to but not including `limit`.

The dtype of the resulting tensor is inferred from the inputs unless
it is provided explicitly.

Like the Python builtin `range`, `start` defaults to 0, so that
`range(n) = range(0, n)`.

#### For example:

    start = 3
    limit = 18
    delta = 3
    tf.range(start, limit, delta)
    <tf.Tensor: shape=(5,), dtype=int32,
    numpy=array([ 3,  6,  9, 12, 15], dtype=int32)>

    start = 3
    limit = 1
    delta = -0.5
    tf.range(start, limit, delta)
    <tf.Tensor: shape=(4,), dtype=float32,
    numpy=array([3. , 2.5, 2. , 1.5], dtype=float32)>

    limit = 5
    tf.range(limit)
    <tf.Tensor: shape=(5,), dtype=int32,
    numpy=array([0, 1, 2, 3, 4], dtype=int32)>

<br />

<br />

<br />

| ## Args ||
|---|---|
| `start` | A 0-D `Tensor` (scalar). Acts as first entry in the range if `limit` is not None; otherwise, acts as range limit and first entry defaults to 0. |
| `limit` | A 0-D `Tensor` (scalar). Upper limit of sequence, exclusive. If None, defaults to the value of `start` while the first entry of the range defaults to 0. |
| `delta` | A 0-D `Tensor` (scalar). Number that increments `start`. Defaults to 1. |
| `dtype` | The type of the elements of the resulting tensor. |
| `name` | A name for the operation. Defaults to "range". |

<br />

<br />

<br />

<br />

| ## Returns ||
|---|---|
| An 1-D `Tensor` of type `dtype`. ||

<br />

#### Numpy Compatibility

Equivalent to np.arange