mindspore.ops.range

mindspore.ops.range(start, end, step, maxlen=1000000)

Creates a sequence of numbers that begins at start and extends by increments of step up to but not including end.

The types of all 3 inputs must be all integers or floating-point numbers.

Parameters

• start (number) – The first number in the sequence. Must have type: int32 ,int64, float32 or float64.

• end (number) – Upper end of the sequence, exclusive. Must have type: int32 ,int64, float32 or float64.

• step (number) – Number that increments start. Must have type: int32 ,int64, float32 or float64.

• maxlen (int, optional) – Memory that can fit maxlen many elements will be allocated for the output. Optional, must be positive. Default: 1000000. If the output has more than maxlen elements, a runtime error will occur.

Returns

A 1-D Tensor. If start, end and step are all integers, the type of output is int64. If start, end and step are all floating-point numbers, the type of output is float32.

Raises

• TypeError – If start, end, step have both integers and floating-point numbers.

• TypeError – If datatype of start, end or step is not supported.

• ValueError – If step = 0.

• ValueError – If start >= end when step > 0.

• ValueError – If start <= end when step < 0.

Supported Platforms:

GPU CPU

Examples

>>> from mindspore import ops
>>> start = 0
>>> end = 10
>>> step = 4
>>> output = ops.range(start, end, step)
>>> print(output)
[0 4 8]