aboutsummaryrefslogtreecommitdiffhomepage
path: root/tensorflow/docs_src/api_guides/python/sparse_ops.md
diff options
context:
space:
mode:
Diffstat (limited to 'tensorflow/docs_src/api_guides/python/sparse_ops.md')
-rw-r--r--tensorflow/docs_src/api_guides/python/sparse_ops.md44
1 files changed, 22 insertions, 22 deletions
diff --git a/tensorflow/docs_src/api_guides/python/sparse_ops.md b/tensorflow/docs_src/api_guides/python/sparse_ops.md
index 19d5faba05..b360055ed0 100644
--- a/tensorflow/docs_src/api_guides/python/sparse_ops.md
+++ b/tensorflow/docs_src/api_guides/python/sparse_ops.md
@@ -1,7 +1,7 @@
# Sparse Tensors
Note: Functions taking `Tensor` arguments can also take anything accepted by
-@{tf.convert_to_tensor}.
+`tf.convert_to_tensor`.
[TOC]
@@ -12,34 +12,34 @@ 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}
+* `tf.SparseTensor`
+* `tf.SparseTensorValue`
## Conversion
-* @{tf.sparse_to_dense}
-* @{tf.sparse_tensor_to_dense}
-* @{tf.sparse_to_indicator}
-* @{tf.sparse_merge}
+* `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}
+* `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}
+* `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}
+* `tf.sparse_add`
+* `tf.sparse_softmax`
+* `tf.sparse_tensor_dense_matmul`
+* `tf.sparse_maximum`
+* `tf.sparse_minimum`