Source code for local2global_embedding.run.scripts.no_transform_embedding

#  Copyright (c) 2021. Lucas G. S. Jeub
#
#  Permission is hereby granted, free of charge, to any person obtaining a copy
#  of this software and associated documentation files (the "Software"), to deal
#  in the Software without restriction, including without limitation the rights
#  to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
#  copies of the Software, and to permit persons to whom the Software is
#  furnished to do so, subject to the following conditions:
#
#  The above copyright notice and this permission notice shall be included in all
#  copies or substantial portions of the Software.
#
#  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
#  IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
#  FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
#  AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
#  LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
#  OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
#  SOFTWARE.
from pathlib import Path

import numpy as np
from dask import delayed

from local2global.lazy import LazyMeanAggregatorCoordinates
from local2global_embedding.run.scripts.utils import mean_embedding, compute



[docs] def no_transform_embedding(patches, shape, output_file, mmap=True, use_tmp=True): print(f'launch no-transform embedding for {output_file} with {mmap=} and {use_tmp=}') output_file = Path(output_file) if mmap: mean_embedding(delayed(patches).compute(), shape, output_file, use_tmp) else: np.save(output_file, np.asarray(LazyMeanAggregatorCoordinates(delayed(patches).compute()), dtype=np.float32)) return output_file