Source code for xorbits._mars.tensor.datasource.identity
# Copyright 2022-2023 XProbe Inc.
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# Licensed under the Apache License, Version 2.0 (the "License");
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# http://www.apache.org/licenses/LICENSE-2.0
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from .eye import eye
[docs]def identity(n, dtype=None, sparse=False, gpu=None, chunk_size=None):
"""
Return the identity tensor.
The identity tensor is a square array with ones on
the main diagonal.
Parameters
----------
n : int
Number of rows (and columns) in `n` x `n` output.
dtype : data-type, optional
Data-type of the output. Defaults to ``float``.
sparse: bool, optional
Create sparse tensor if True, False as default
gpu : bool, optional
Allocate the tensor on GPU if True, False as default
chunks : int or tuple of int or tuple of ints, optional
Desired chunk size on each dimension
Returns
-------
out : Tensor
`n` x `n` array with its main diagonal set to one,
and all other elements 0.
Examples
--------
>>> import mars.tensor as mt
>>> mt.identity(3).execute()
array([[ 1., 0., 0.],
[ 0., 1., 0.],
[ 0., 0., 1.]])
"""
return eye(n, dtype=dtype, sparse=sparse, gpu=gpu, chunk_size=chunk_size)