Source code for jina.types.ndarray.sparse.tensorflow

from typing import List

from tensorflow import SparseTensor
from . import BaseSparseNdArray

if False:
    import numpy as np

__all__ = ['SparseNdArray']

[docs]class SparseNdArray(BaseSparseNdArray): """ Tensorflow powered sparse ndarray, i.e. SparseTensor. .. seealso:: """
[docs] def sparse_constructor( self, indices: 'np.ndarray', values: 'np.ndarray', shape: List[int] ) -> 'SparseTensor': """ Sparse NdArray constructor for Tensorflow. :param indices: the indices of the sparse array :param values: the values of the sparse array :param shape: the shape of the sparse array :return: SparseTensor """ return SparseTensor(indices, values, shape)
[docs] def sparse_parser(self, value: 'SparseTensor'): """ Parse a SparseTensor to indices, values and shape. :param value: the SparseTensor. :return: a Dict with three entries {'indices': ..., 'values':..., 'shape':...} """ return { 'indices': value.indices.numpy(), 'values': value.values.numpy(), 'shape': value.shape.as_list(), }