# tf.range
|---|---|
| [ TensorFlow 1 version](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/range) | [ View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.0.0/tensorflow/python/ops/math_ops.py#L1358-L1438) |
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)
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) # [3, 6, 9, 12, 15]
start = 3
limit = 1
delta = -0.5
tf.range(start, limit, delta) # [3, 2.5, 2, 1.5]
limit = 5
tf.range(limit) # [0, 1, 2, 3, 4]
| ## 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". |
| ## Returns ||
|---|---|
| An 1-D `Tensor` of type `dtype`. ||
#### Numpy Compatibility
Equivalent to np.arange