Fix broken wiki link of Positive-definite_matrix in linalg api guide (#18057)

* Fix broken wiki link of Positive-definite_matrix in linalg api guide

* Fix minor intent

diff --git a/tensorflow/contrib/linalg/python/ops/linear_operator_block_diag.py b/tensorflow/contrib/linalg/python/ops/linear_operator_block_diag.py
index 80649bd..9d3af66 100644 (file)
--- a/tensorflow/contrib/linalg/python/ops/linear_operator_block_diag.py
+++ b/tensorflow/contrib/linalg/python/ops/linear_operator_block_diag.py
@@ -138,8 +138,7 @@ class LinearOperatorBlockDiag(linear_operator.LinearOperator):
         meaning the quadratic form `x^H A x` has positive real part for all
         nonzero `x`.  Note that we do not require the operator to be
         self-adjoint to be positive-definite.  See:
-        https://en.wikipedia.org/wiki/Positive-definite_matrix\
-            #Extension_for_non_symmetric_matrices
+        https://en.wikipedia.org/wiki/Positive-definite_matrix#Extension_for_non-symmetric_matrices
       is_square:  Expect that this operator acts like square [batch] matrices.
         This is true by default, and will raise a `ValueError` otherwise.
       name: A name for this `LinearOperator`.  Default is the individual

diff --git a/tensorflow/python/ops/linalg/linear_operator.py b/tensorflow/python/ops/linalg/linear_operator.py
index c7513d5..193c787 100644 (file)
--- a/tensorflow/python/ops/linalg/linear_operator.py
+++ b/tensorflow/python/ops/linalg/linear_operator.py
@@ -166,8 +166,7 @@ class LinearOperator(object):
         meaning the quadratic form `x^H A x` has positive real part for all
         nonzero `x`.  Note that we do not require the operator to be
         self-adjoint to be positive-definite.  See:
-        https://en.wikipedia.org/wiki/Positive-definite_matrix\
-            #Extension_for_non_symmetric_matrices
+        https://en.wikipedia.org/wiki/Positive-definite_matrix#Extension_for_non-symmetric_matrices
       is_square:  Expect that this operator acts like square [batch] matrices.
       name: A name for this `LinearOperator`.
 

diff --git a/tensorflow/python/ops/linalg/linear_operator_composition.py b/tensorflow/python/ops/linalg/linear_operator_composition.py
index ecd30e4..0292bc5 100644 (file)
--- a/tensorflow/python/ops/linalg/linear_operator_composition.py
+++ b/tensorflow/python/ops/linalg/linear_operator_composition.py
@@ -134,8 +134,7 @@ class LinearOperatorComposition(linear_operator.LinearOperator):
         meaning the quadratic form `x^H A x` has positive real part for all
         nonzero `x`.  Note that we do not require the operator to be
         self-adjoint to be positive-definite.  See:
-        https://en.wikipedia.org/wiki/Positive-definite_matrix\
-            #Extension_for_non_symmetric_matrices
+        https://en.wikipedia.org/wiki/Positive-definite_matrix#Extension_for_non-symmetric_matrices
       is_square:  Expect that this operator acts like square [batch] matrices.
       name: A name for this `LinearOperator`.  Default is the individual
         operators names joined with `_o_`.

diff --git a/tensorflow/python/ops/linalg/linear_operator_diag.py b/tensorflow/python/ops/linalg/linear_operator_diag.py
index e180e83..5beaea6 100644 (file)
--- a/tensorflow/python/ops/linalg/linear_operator_diag.py
+++ b/tensorflow/python/ops/linalg/linear_operator_diag.py
@@ -132,8 +132,7 @@ class LinearOperatorDiag(linear_operator.LinearOperator):
         meaning the quadratic form `x^H A x` has positive real part for all
         nonzero `x`.  Note that we do not require the operator to be
         self-adjoint to be positive-definite.  See:
-        https://en.wikipedia.org/wiki/Positive-definite_matrix\
-            #Extension_for_non_symmetric_matrices
+        https://en.wikipedia.org/wiki/Positive-definite_matrix#Extension_for_non-symmetric_matrices
       is_square:  Expect that this operator acts like square [batch] matrices.
       name: A name for this `LinearOperator`.
 

diff --git a/tensorflow/python/ops/linalg/linear_operator_full_matrix.py b/tensorflow/python/ops/linalg/linear_operator_full_matrix.py
index f979fb3..5ba3b09 100644 (file)
--- a/tensorflow/python/ops/linalg/linear_operator_full_matrix.py
+++ b/tensorflow/python/ops/linalg/linear_operator_full_matrix.py
@@ -125,8 +125,7 @@ class LinearOperatorFullMatrix(linear_operator.LinearOperator):
         meaning the quadratic form `x^H A x` has positive real part for all
         nonzero `x`.  Note that we do not require the operator to be
         self-adjoint to be positive-definite.  See:
-        https://en.wikipedia.org/wiki/Positive-definite_matrix\
-            #Extension_for_non_symmetric_matrices
+        https://en.wikipedia.org/wiki/Positive-definite_matrix#Extension_for_non-symmetric_matrices
       is_square:  Expect that this operator acts like square [batch] matrices.
       name: A name for this `LinearOperator`.
 

diff --git a/tensorflow/python/ops/linalg/linear_operator_identity.py b/tensorflow/python/ops/linalg/linear_operator_identity.py
index 50f3d40..45929eb 100644 (file)
--- a/tensorflow/python/ops/linalg/linear_operator_identity.py
+++ b/tensorflow/python/ops/linalg/linear_operator_identity.py
@@ -236,8 +236,7 @@ class LinearOperatorIdentity(BaseLinearOperatorIdentity):
         meaning the quadratic form `x^H A x` has positive real part for all
         nonzero `x`.  Note that we do not require the operator to be
         self-adjoint to be positive-definite.  See:
-        https://en.wikipedia.org/wiki/Positive-definite_matrix\
-            #Extension_for_non_symmetric_matrices
+        https://en.wikipedia.org/wiki/Positive-definite_matrix#Extension_for_non-symmetric_matrices
       is_square:  Expect that this operator acts like square [batch] matrices.
       assert_proper_shapes:  Python `bool`.  If `False`, only perform static
         checks that initialization and method arguments have proper shape.
@@ -576,8 +575,7 @@ class LinearOperatorScaledIdentity(BaseLinearOperatorIdentity):
         meaning the quadratic form `x^H A x` has positive real part for all
         nonzero `x`.  Note that we do not require the operator to be
         self-adjoint to be positive-definite.  See:
-        https://en.wikipedia.org/wiki/Positive-definite_matrix\
-            #Extension_for_non_symmetric_matrices
+        https://en.wikipedia.org/wiki/Positive-definite_matrix#Extension_for_non-symmetric_matrices
       is_square:  Expect that this operator acts like square [batch] matrices.
       assert_proper_shapes:  Python `bool`.  If `False`, only perform static
         checks that initialization and method arguments have proper shape.

diff --git a/tensorflow/python/ops/linalg/linear_operator_lower_triangular.py b/tensorflow/python/ops/linalg/linear_operator_lower_triangular.py
index a513018..c4d386c 100644 (file)
--- a/tensorflow/python/ops/linalg/linear_operator_lower_triangular.py
+++ b/tensorflow/python/ops/linalg/linear_operator_lower_triangular.py
@@ -133,8 +133,7 @@ class LinearOperatorLowerTriangular(linear_operator.LinearOperator):
         meaning the quadratic form `x^H A x` has positive real part for all
         nonzero `x`.  Note that we do not require the operator to be
         self-adjoint to be positive-definite.  See:
-        https://en.wikipedia.org/wiki/Positive-definite_matrix\
-            #Extension_for_non_symmetric_matrices
+        https://en.wikipedia.org/wiki/Positive-definite_matrix#Extension_for_non-symmetric_matrices
       is_square:  Expect that this operator acts like square [batch] matrices.
       name: A name for this `LinearOperator`.