TensorFlow 2 version
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Sparse Tensor Representation.
See also tf.SparseTensor.
Classes
class SparseConditionalAccumulator: A conditional accumulator for aggregating sparse gradients.
class SparseTensor: Represents a sparse tensor.
Functions
add(...): Adds two tensors, at least one of each is a SparseTensor. (deprecated arguments)
concat(...): Concatenates a list of SparseTensor along the specified dimension. (deprecated arguments)
cross(...): Generates sparse cross from a list of sparse and dense tensors.
cross_hashed(...): Generates hashed sparse cross from a list of sparse and dense tensors.
expand_dims(...): Inserts a dimension of 1 into a tensor's shape.
eye(...): Creates a two-dimensional sparse tensor with ones along the diagonal.
fill_empty_rows(...): Fills empty rows in the input 2-D SparseTensor with a default value.
from_dense(...): Converts a dense tensor into a sparse tensor.
mask(...): Masks elements of IndexedSlices.
matmul(...): Multiply SparseTensor (of rank 2) "A" by dense matrix "B".
maximum(...): Returns the element-wise max of two SparseTensors.
merge(...): Combines a batch of feature ids and values into a single SparseTensor. (deprecated)
minimum(...): Returns the element-wise min of two SparseTensors.
placeholder(...): Inserts a placeholder for a sparse tensor that will be always fed.
reduce_max(...): Computes the max of elements across dimensions of a SparseTensor. (deprecated arguments) (deprecated arguments)
reduce_max_sparse(...): Computes the max of elements across dimensions of a SparseTensor. (deprecated arguments)
reduce_sum(...): Computes the sum of elements across dimensions of a SparseTensor. (deprecated arguments) (deprecated arguments)
reduce_sum_sparse(...): Computes the sum of elements across dimensions of a SparseTensor. (deprecated arguments)
reorder(...): Reorders a SparseTensor into the canonical, row-major ordering.
reset_shape(...): Resets the shape of a SparseTensor with indices and values unchanged.
reshape(...): Reshapes a SparseTensor to represent values in a new dense shape.
retain(...): Retains specified non-empty values within a SparseTensor.
segment_mean(...): Computes the mean along sparse segments of a tensor.
segment_sqrt_n(...): Computes the sum along sparse segments of a tensor divided by the sqrt(N).
segment_sum(...): Computes the sum along sparse segments of a tensor.
slice(...): Slice a SparseTensor based on the start and `size.
softmax(...): Applies softmax to a batched N-D SparseTensor.
sparse_dense_matmul(...): Multiply SparseTensor (of rank 2) "A" by dense matrix "B".
split(...): Split a SparseTensor into num_split tensors along axis. (deprecated arguments)
to_dense(...): Converts a SparseTensor into a dense tensor.
to_indicator(...): Converts a SparseTensor of ids into a dense bool indicator tensor.
transpose(...): Transposes a SparseTensor