wehub-resource-sync
56 lines
1.8 KiB
Python
56 lines
1.8 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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# pylint: disable=invalid-name, line-too-long, unused-variable, too-many-locals
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# ruff: noqa: RUF005
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"""gather_nd in python"""
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import numpy as np
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def gather_nd_python(a_np, indices_np):
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"""Python version of GatherND operator
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Parameters
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----------
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a_np : numpy.ndarray
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Numpy array
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indices_np : numpy.ndarray
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Numpy array
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Returns
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-------
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b_np : numpy.ndarray
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Numpy array
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"""
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a_shape = a_np.shape
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indices_np = indices_np.astype("int32")
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indices_shape = indices_np.shape
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assert len(indices_shape) > 1
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assert indices_shape[0] <= len(a_shape)
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b_shape = list(indices_shape[1:])
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for i in range(indices_shape[0], len(a_shape)):
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b_shape.append(a_shape[i])
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b_np = np.zeros(b_shape)
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for idx in np.ndindex(*indices_shape[1:]):
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a_idx = []
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for i in range(indices_shape[0]):
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indices_pos = tuple([i] + list(idx))
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a_idx.append(indices_np[indices_pos])
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b_np[idx] = a_np[tuple(a_idx)]
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return b_np
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