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Diffstat (limited to 'tensorflow/docs_src/api_guides/python/sparse_ops.md')
| -rw-r--r-- | tensorflow/docs_src/api_guides/python/sparse_ops.md | 45 |
1 files changed, 0 insertions, 45 deletions
diff --git a/tensorflow/docs_src/api_guides/python/sparse_ops.md b/tensorflow/docs_src/api_guides/python/sparse_ops.md deleted file mode 100644 index b360055ed0..0000000000 --- a/tensorflow/docs_src/api_guides/python/sparse_ops.md +++ /dev/null @@ -1,45 +0,0 @@ -# Sparse Tensors - -Note: Functions taking `Tensor` arguments can also take anything accepted by -`tf.convert_to_tensor`. - -[TOC] - -## 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` |