# Source code for mars.tensor.base.array_split

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 1999-2021 Alibaba Group Holding Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from .split import _split
[docs]def array_split(a, indices_or_sections, axis=0):
"""
Split a tensor into multiple sub-tensors.
Please refer to the ``split`` documentation. The only difference
between these functions is that ``array_split`` allows
`indices_or_sections` to be an integer that does *not* equally
divide the axis. For a tensor of length l that should be split
into n sections, it returns l % n sub-arrays of size l//n + 1
and the rest of size l//n.
See Also
--------
split : Split tensor into multiple sub-tensors of equal size.
Examples
--------
>>> import mars.tensor as mt
>>> x = mt.arange(8.0)
>>> mt.array_split(x, 3).execute()
[array([ 0., 1., 2.]), array([ 3., 4., 5.]), array([ 6., 7.])]
>>> x = mt.arange(7.0)
>>> mt.array_split(x, 3).execute()
[array([ 0., 1., 2.]), array([ 3., 4.]), array([ 5., 6.])]
"""
return _split(a, indices_or_sections, axis=axis)