python - 你如何获得稀疏张量中使用的张量的名称？

Question

TensorFlow represents a sparse tensor as three separate dense tensors: indices, values, and dense_shape. In Python, the three tensors are collected into a SparseTensor class for ease of use. If you have separate indices, values, and dense_shape tensors, wrap them in a SparseTensor object before passing to the ops below.

我的问题是，给定一个稀疏张量或稀疏张量值，我如何检索每个包含张量的单独名称，即索引张量、值张量和形状张量？ (除非我碰巧误解了引用文本中的解释并且这是不可能的？)

Answer 1

您可以使用以下命令访问 SparseTensor 对象中的三个张量中的每一个:

# Here some_sparse_tensor is an object of the tf.sparse.SparseTensor class
some_sparse_tensor.indices
some_sparse_tensor.values
some_sparse_tensor.dense_shape

根据文档:
https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor#attributes
您无法获得它们的“名称”，但您可以将它们分配给它们自己的变量: values_of_sparse_tensor = some_sparse_tensor.values