core/maxframe/tensor/indexing/flatnonzero.py (4 lines of code) (raw):

#!/usr/bin/env python # -*- coding: utf-8 -*- # Copyright 1999-2025 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 .nonzero import nonzero def flatnonzero(a): """ Return indices that are non-zero in the flattened version of a. This is equivalent to a.ravel().nonzero()[0]. Parameters ---------- a : Tensor Input tensor. Returns ------- res : Tensor Output tensor, containing the indices of the elements of `a.ravel()` that are non-zero. See Also -------- nonzero : Return the indices of the non-zero elements of the input tensor. ravel : Return a 1-D tensor containing the elements of the input tensor. Examples -------- >>> import maxframe.tensor as mt >>> x = mt.arange(-2, 3) >>> x.execute() array([-2, -1, 0, 1, 2]) >>> mt.flatnonzero(x).execute() array([0, 1, 3, 4]) Use the indices of the non-zero elements as an index array to extract these elements: >>> x.ravel()[mt.flatnonzero(x)].execute() # TODO(jisheng): accomplish this after fancy indexing is supported """ from ..misc import ravel return nonzero(ravel(a))[0]