Sparse Tensors

Note: Functions taking Tensor arguments can also take anything accepted by tf.convert_to_tensor.

Sparse Tensor Representation

TensorFlow supports a SparseTensor representation for data that is sparse in multiple dimensions. Contrast this representation with IndexedSlices, which is efficient for representing tensors that are sparse in their first dimension, and dense along all other dimensions.

• tf.SparseTensor
• tf.SparseTensorValue

Conversion

• tf.sparse_to_dense
• tf.sparse_tensor_to_dense
• tf.sparse_to_indicator
• tf.sparse_merge

Manipulation

• tf.sparse_concat
• tf.sparse_reorder
• tf.sparse_reshape
• tf.sparse_split
• tf.sparse_retain
• tf.sparse_reset_shape
• tf.sparse_fill_empty_rows
• tf.sparse_transpose

Reduction

• tf.sparse_reduce_sum
• tf.sparse_reduce_sum_sparse

Math Operations

• tf.sparse_add
• tf.sparse_softmax
• tf.sparse_tensor_dense_matmul
• tf.sparse_maximum
• tf.sparse_minimum