message: Tiny fix in documentation of SparseTensor.
diff: @@ -57,20 +57,19 @@ class SparseTensor(_TensorLike, composite_tensor.CompositeTensor):
  comprises the following components, where `N` and `ndims` are the number
  of values and number of dimensions in the `SparseTensor`, respectively:
  - * `indices`: A 2-D int64 tensor of dense_shape `[N, ndims]`, which specifies
  - the indices of the elements in the sparse tensor that contain nonzero
  - values (elements are zero-indexed). For example, `indices=[[1,3], [2,4]]`
  - specifies that the elements with indexes of [1,3] and [2,4] have
  - nonzero values.
  -
  - * `values`: A 1-D tensor of any type and dense_shape `[N]`, which supplies the
  - values for each element in `indices`. For example, given
  - `indices=[[1,3], [2,4]]`, the parameter `values=[18, 3.6]` specifies
  - that element [1,3] of the sparse tensor has a value of 18, and element
  - [2,4] of the tensor has a value of 3.6.
  -
  - * `dense_shape`: A 1-D int64 tensor of dense_shape `[ndims]`, which specifies
  - the dense_shape of the sparse tensor. Takes a list indicating the number of
  + * `indices`: A 2-D int64 tensor of shape `[N, ndims]`, which specifies the
  + indices of the elements in the sparse tensor that contain nonzero values
  + (elements are zero-indexed). For example, `indices=[[1,3], [2,4]]` specifies
  + that the elements with indexes of [1,3] and [2,4] have nonzero values.
  +
  + * `values`: A 1-D tensor of any type and shape `[N]`, which supplies the
  + values for each element in `indices`. For example, given `indices=[[1,3],
  + [2,4]]`, the parameter `values=[18, 3.6]` specifies that element [1,3] of
  + the sparse tensor has a value of 18, and element [2,4] of the tensor has a
  + value of 3.6.
  +
  + * `dense_shape`: A 1-D int64 tensor of shape `[ndims]`, which specifies the
  + dense_shape of the sparse tensor. Takes a list indicating the number of
  elements in each dimension. For example, `dense_shape=[3,6]` specifies a
  two-dimensional 3x6 tensor, `dense_shape=[2,3,4]` specifies a
  three-dimensional 2x3x4 tensor, and `dense_shape=[9]` specifies a
  