/TensorFlow 2.4

# tf.range

Creates a sequence of numbers.

```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)>
```
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

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/range