kmeans.py 文件源码

python
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项目:coordinates 作者: markovmodel 项目源码 文件源码
def _init_in_memory_chunks(self, size):
        available_mem = psutil.virtual_memory().available
        required_mem = self._calculate_required_memory(size)
        if required_mem <= available_mem:
            self._in_memory_chunks = np.empty(shape=(size, self.data_producer.dimension()),
                                              order='C', dtype=np.float32)
        else:
            if self.oom_strategy == 'raise':
                self.logger.warning('K-means failed to load all the data (%s required, %s available) into memory. '
                                    'Consider using a larger stride or set the oom_strategy to \'memmap\' which works '
                                    'with a memmapped temporary file.'
                                    % (bytes_to_string(required_mem), bytes_to_string(available_mem)))
                raise MemoryError()
            else:
                self.logger.warning('K-means failed to load all the data (%s required, %s available) into memory '
                                    'and now uses a memmapped temporary file which is comparably slow. '
                                    'Consider using a larger stride.'
                                    % (bytes_to_string(required_mem), bytes_to_string(available_mem)))
                self._in_memory_chunks = np.memmap(tempfile.mkstemp()[1], mode="w+",
                                                   shape=(size, self.data_producer.dimension()), order='C',
                                                   dtype=np.float32)
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