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authorGravatar A. Unique TensorFlower <gardener@tensorflow.org>2017-01-12 15:06:49 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2017-01-12 15:26:18 -0800
commit9c0d2646ea24e431f398e0b02207e7c60b73341d (patch)
tree074558aaef96e17b646f6e0f2ec4a704d55c6e56
parentef31cf3ee173f15224545b902a42ec597b117cd1 (diff)
Update generated Python Op docs.
Change: 144376783
-rw-r--r--tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.norm.md2
-rw-r--r--tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.svd.md6
-rw-r--r--tensorflow/g3doc/api_docs/python/math_ops.md8
3 files changed, 14 insertions, 2 deletions
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.norm.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.norm.md
index d9edeec1ce..f91766f656 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.norm.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard0/tf.norm.md
@@ -53,7 +53,7 @@ inf-norm) and up to 9218868437227405311 different vectors norms.
* <b>`ValueError`</b>: If `ord` or `axis` is invalid.
@compatibility(numpy)
-Mostly equivalent to np.linalg.norm.
+Mostly equivalent to numpy.linalg.norm.
Not supported: ord <= 0, 2-norm for matrices, nuclear norm.
##### Other differences:
diff --git a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.svd.md b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.svd.md
index 4dd39189be..74185ba7c9 100644
--- a/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.svd.md
+++ b/tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.svd.md
@@ -39,3 +39,9 @@ s = svd(a, compute_uv=False)
shape is `[..., N, P]`. If `full_matrices` is `True` then shape is
`[..., N, N]`. Not returned if `compute_uv` is `False`.
+@compatibility(numpy)
+Mostly equivalent to numpy.linalg.svd, except that the order of output
+arguments here is `s`, `u`, `v` when `compute_uv` is `True`, as opposed to
+`u`, `s`, `v` for numpy.linalg.svd.
+@end_compatibility
+
diff --git a/tensorflow/g3doc/api_docs/python/math_ops.md b/tensorflow/g3doc/api_docs/python/math_ops.md
index 8baf5c5eff..2bad6b29f3 100644
--- a/tensorflow/g3doc/api_docs/python/math_ops.md
+++ b/tensorflow/g3doc/api_docs/python/math_ops.md
@@ -1749,7 +1749,7 @@ inf-norm) and up to 9218868437227405311 different vectors norms.
* <b>`ValueError`</b>: If `ord` or `axis` is invalid.
@compatibility(numpy)
-Mostly equivalent to np.linalg.norm.
+Mostly equivalent to numpy.linalg.norm.
Not supported: ord <= 0, 2-norm for matrices, nuclear norm.
##### Other differences:
@@ -2141,6 +2141,12 @@ s = svd(a, compute_uv=False)
shape is `[..., N, P]`. If `full_matrices` is `True` then shape is
`[..., N, N]`. Not returned if `compute_uv` is `False`.
+@compatibility(numpy)
+Mostly equivalent to numpy.linalg.svd, except that the order of output
+arguments here is `s`, `u`, `v` when `compute_uv` is `True`, as opposed to
+`u`, `s`, `v` for numpy.linalg.svd.
+@end_compatibility
+