|---| | [ View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.21.0/tensorflow/python/ops/math_ops.py#L2016-L2102) | 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') ### Used in the notebooks | Used in the guide | Used in the tutorials | |---|---| | - [DTensor concepts](https://www.tensorflow.org/guide/dtensor_overview) - [Better performance with tf.function](https://www.tensorflow.org/guide/function) - [Training checkpoints](https://www.tensorflow.org/guide/checkpoint) - [Estimators](https://www.tensorflow.org/guide/estimator) - [Optimizers with Core APIs](https://www.tensorflow.org/guide/core/optimizers_core) | - [Integrated gradients](https://www.tensorflow.org/tutorials/interpretability/integrated_gradients) - [DeepDream](https://www.tensorflow.org/tutorials/generative/deepdream) - [Save and load a model using a distribution strategy](https://www.tensorflow.org/tutorials/distribute/save_and_load) - [Playing CartPole with the Actor-Critic method](https://www.tensorflow.org/tutorials/reinforcement_learning/actor_critic) - [Distributed Input](https://www.tensorflow.org/tutorials/distribute/input) | 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) start = 3 limit = 1 delta = -0.5 tf.range(start, limit, delta) limit = 5 tf.range(limit)


| ## 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