tf.sparse_reorder(sp_input, name=None) Reorders a SparseTensor into the canonical, row-major ordering.

tf.sparse_minimum(sp_a, sp_b, name=None) Returns the element-wise min of two SparseTensors. Assumes

tf.sparse_reshape(sp_input, shape, name=None) Reshapes a SparseTensor to represent values in a new dense shape.

tf.sparse_maximum(sp_a, sp_b, name=None) Returns the element-wise max of two SparseTensors. Assumes

tf.sparse_tensor_to_dense(sp_input, default_value=0, validate_indices=True, name=None) Converts a SparseTensor into

tf.SparseTensor.__div__(sp_x, y) Component-wise divides a SparseTensor by a dense Tensor. Limitation:

class tf.SparseTensorValue SparseTensorValue(indices, values, shape)

tf.SparseTensorValue.indices Alias for field number 0

tf.sparse_reduce_sum(sp_input, reduction_axes=None, keep_dims=False) Computes the sum of elements across dimensions of a SparseTensor

tf.SparseTensorValue.__repr__() Return a nicely formatted representation string