mindspore.ops.range

mindspore.ops.range(start, end, step)[source]

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

The types of all 3 inputs must be the same. The type of the resulting tensor is the same as the type of the inputs.

Parameters

start (Tensor) – A scalar Tensor. The first number in the sequence. Must have type: int32 ,int64, float32 or float64.
end (Tensor) – A scalar Tensor. Upper limit of the sequence, exclusive. Must have type: int32 ,int64, float32 or float64.
step (Tensor) – A scalar Tensor. Number that increments start. Must have type: int32 ,int64, float32 or float64.

Returns

A 1-D Tensor, with the same type as the inputs.

Raises

TypeError – If start, end or step is not scalar Tensor.
TypeError – If datatype of start, end or step is not same.
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 Tensor, ops
>>> from mindspore import dtype as mstype
>>> start = Tensor(0, mstype.int32)
>>> end = Tensor(10, mstype.int32)
>>> step = Tensor(4, mstype.int32)
>>> output = ops.range(start, end, step)
>>> print(output)
[0 4 8]