diff options
| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2016-11-02 14:24:29 -0800 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2016-11-02 15:41:37 -0700 |
| commit | 4a533f6c8b4758b91122e445fb0d91709f062b26 (patch) | |
| tree | d211f846f821c8623dc39a11725207106685ace0 | |
| parent | 5e4e6721258d64afd76eade620c945c141f774ff (diff) | |
Update generated Python Op docs.
Change: 138001884
| -rw-r--r-- | tensorflow/g3doc/api_docs/python/functions_and_classes/shard3/tf.svd.md | 8 | ||||
| -rw-r--r-- | tensorflow/g3doc/api_docs/python/math_ops.md | 8 |
2 files changed, 8 insertions, 8 deletions
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 a11df39a13..b985bd7e58 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 @@ -1,4 +1,4 @@ -### `tf.svd(tensor, compute_uv=True, full_matrices=False, name=None)` {#svd} +### `tf.svd(tensor, full_matrices=False, compute_uv=True, name=None)` {#svd} Computes the singular value decompositions of one or more matrices. @@ -20,12 +20,12 @@ s = svd(a, compute_uv=False) * <b>`matrix`</b>: `Tensor` of shape `[..., M, N]`. Let `P` be the minimum of `M` and `N`. -* <b>`compute_uv`</b>: If `True` then left and right singular vectors will be - computed and returned in `u` and `v`, respectively. Otherwise, only the - singular values will be computed, which can be significantly faster. * <b>`full_matrices`</b>: If true, compute full-sized `u` and `v`. If false (the default), compute only the leading `P` singular vectors. Ignored if `compute_uv` is `False`. +* <b>`compute_uv`</b>: If `True` then left and right singular vectors will be + computed and returned in `u` and `v`, respectively. Otherwise, only the + singular values will be computed, which can be significantly faster. * <b>`name`</b>: string, optional name of the operation. ##### Returns: diff --git a/tensorflow/g3doc/api_docs/python/math_ops.md b/tensorflow/g3doc/api_docs/python/math_ops.md index 71e6b9a26f..bc40bfa404 100644 --- a/tensorflow/g3doc/api_docs/python/math_ops.md +++ b/tensorflow/g3doc/api_docs/python/math_ops.md @@ -1832,7 +1832,7 @@ Computes the eigenvalues of one or more self-adjoint matrices. - - - -### `tf.svd(tensor, compute_uv=True, full_matrices=False, name=None)` {#svd} +### `tf.svd(tensor, full_matrices=False, compute_uv=True, name=None)` {#svd} Computes the singular value decompositions of one or more matrices. @@ -1854,12 +1854,12 @@ s = svd(a, compute_uv=False) * <b>`matrix`</b>: `Tensor` of shape `[..., M, N]`. Let `P` be the minimum of `M` and `N`. -* <b>`compute_uv`</b>: If `True` then left and right singular vectors will be - computed and returned in `u` and `v`, respectively. Otherwise, only the - singular values will be computed, which can be significantly faster. * <b>`full_matrices`</b>: If true, compute full-sized `u` and `v`. If false (the default), compute only the leading `P` singular vectors. Ignored if `compute_uv` is `False`. +* <b>`compute_uv`</b>: If `True` then left and right singular vectors will be + computed and returned in `u` and `v`, respectively. Otherwise, only the + singular values will be computed, which can be significantly faster. * <b>`name`</b>: string, optional name of the operation. ##### Returns: |