Return evenly spaced values within a given interval.
Values are generated within the half-open interval
[start, stop)(in other words, the interval including start but excluding stop). For integer arguments the function is equivalent to the Python built-in range function, but returns a tensor rather than a list.
When using a non-integer step, such as 0.1, the results will often not be consistent. It is better to use
linspacefor these cases.
start (number, optional) – Start of interval. The interval includes this value. The default start value is 0.
stop (number) – End of interval. The interval does not include this value, except in some cases where step is not an integer and floating point round-off affects the length of out.
step (number, optional) – Spacing between values. For any output out, this is the distance between two adjacent values,
out[i+1] - out[i]. The default step size is 1. If step is specified as a position argument, start must also be given.
dtype (dtype) – The type of the output tensor. If dtype is not given, infer the data type from the other input arguments.
gpu (bool, optional) – Allocate the tensor on GPU if True, False as default
arange – Tensor of evenly spaced values.
For floating point arguments, the length of the result is
ceil((stop - start)/step). Because of floating point overflow, this rule may result in the last element of out being greater than stop.
- Return type
>>> import mars.tensor as mt
>>> mt.arange(3).execute() array([0, 1, 2]) >>> mt.arange(3.0).execute() array([ 0., 1., 2.]) >>> mt.arange(3,7).execute() array([3, 4, 5, 6]) >>> mt.arange(3,7,2).execute() array([3, 5])