tf.sparse_retain()

tf.sparse_retain(sp_input, to_retain) Retains specified non-empty values within a SparseTensor. For

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tf.sparse_add()

tf.sparse_add(a, b, thresh=0) Adds two tensors, at least one of each is a SparseTensor. If

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tf.sparse_to_indicator()

tf.sparse_to_indicator(sp_input, vocab_size, name=None) Converts a SparseTensor of ids into a dense bool indicator

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tf.sparse_fill_empty_rows()

tf.sparse_fill_empty_rows(sp_input, default_value, name=None) Fills empty rows in the input 2-D SparseTensor with

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tf.SparseTensorValue.shape

tf.SparseTensorValue.shape Alias for field number 2

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tf.sparse_transpose()

tf.sparse_transpose(sp_input, perm=None, name=None) Transposes a SparseTensor The

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tf.SparseTensor.shape

tf.SparseTensor.shape A 1-D Tensor of int64 representing the shape of the dense tensor.

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tf.SparseTensor.dtype

tf.SparseTensor.dtype The DType of elements in this tensor.

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tf.sparse_tensor_dense_matmul()

tf.sparse_tensor_dense_matmul(sp_a, b, adjoint_a=False, adjoint_b=False, name=None) Multiply SparseTensor (of rank 2) "A" by dense

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tf.sparse_split()

tf.sparse_split(split_dim, num_split, sp_input, name=None) Split a SparseTensor into num_split tensors

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