diff options
author | Haosdent Huang <haosdent@gmail.com> | 2016-10-13 01:33:11 +0800 |
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committer | Haosdent Huang <haosdent@gmail.com> | 2016-10-13 01:33:11 +0800 |
commit | 09a6d57732396b10bbdb5235a38146a9af37d788 (patch) | |
tree | 58014ffc496888e0e7022166ff2fdbf821a76ddb | |
parent | 5a566a7701381a5cf7f70fce397759483764e482 (diff) |
Updated the links in docs to match the markdown sytnax.
-rw-r--r-- | README.md | 2 | ||||
-rw-r--r-- | tensorflow/contrib/session_bundle/README.md | 6 | ||||
-rw-r--r-- | tensorflow/core/ops/nn_ops.cc | 4 | ||||
-rw-r--r-- | tensorflow/core/ops/ops.pbtxt | 4 | ||||
-rw-r--r-- | tensorflow/g3doc/api_docs/python/client.md | 7 | ||||
-rw-r--r-- | tensorflow/python/client/session.py | 7 | ||||
-rw-r--r-- | tensorflow/python/framework/ops.py | 4 | ||||
-rw-r--r-- | tensorflow/python/ops/image_ops.py | 9 | ||||
-rw-r--r-- | tensorflow/python/ops/nn.py | 6 | ||||
-rw-r--r-- | tensorflow/python/ops/nn_ops.py | 6 | ||||
-rw-r--r-- | tensorflow/python/ops/parsing_ops.py | 6 | ||||
-rw-r--r-- | tensorflow/python/training/rmsprop.py | 3 |
12 files changed, 26 insertions, 38 deletions
@@ -61,6 +61,6 @@ Hello, TensorFlow! * [TensorFlow website](http://tensorflow.org) * [TensorFlow whitepaper](http://download.tensorflow.org/paper/whitepaper2015.pdf) * [TensorFlow Model Zoo](https://github.com/tensorflow/models) -* [TensorFlow MOOC on Udacity] (https://www.udacity.com/course/deep-learning--ud730) +* [TensorFlow MOOC on Udacity](https://www.udacity.com/course/deep-learning--ud730) The TensorFlow community has created amazing things with TensorFlow, please see the [resources section of tensorflow.org](https://www.tensorflow.org/versions/master/resources#community) for an incomplete list. diff --git a/tensorflow/contrib/session_bundle/README.md b/tensorflow/contrib/session_bundle/README.md index 64328fe596..6df63cba80 100644 --- a/tensorflow/contrib/session_bundle/README.md +++ b/tensorflow/contrib/session_bundle/README.md @@ -34,12 +34,10 @@ definition that's needed for serving. * `assets` -- Asset file directory * Holds auxiliary files for the graph (e.g., vocabularies) * `export.meta` -- MetaGraph Definition - * Binary [`tensorflow::MetaGraphDef`] - (https://github.com/tensorflow/tensorflow/tree/master/tensorflow/core/protobuf/meta_graph.proto) + * Binary [`tensorflow::MetaGraphDef`](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/core/protobuf/meta_graph.proto) * `export-?????-of-?????` * A checkpoint of the Graph Variables - * Outputs from Python [`Saver`] - (https://github.com/tensorflow/tensorflow/tree/master/tensorflow/python/training/saver.py) + * Outputs from Python [`Saver`](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/python/training/saver.py) with `sharded=True`. ## Exporting (Python code) diff --git a/tensorflow/core/ops/nn_ops.cc b/tensorflow/core/ops/nn_ops.cc index 39cb5ff315..903e148b15 100644 --- a/tensorflow/core/ops/nn_ops.cc +++ b/tensorflow/core/ops/nn_ops.cc @@ -1835,7 +1835,7 @@ pooling_ratio: Pooling ratio for each dimension of `value`, currently only respectively. pseudo_random: When set to True, generates the pooling sequence in a pseudorandom fashion, otherwise, in a random fashion. Check paper [Benjamin - Graham, Fractional Max-Pooling] (http://arxiv.org/abs/1412.6071) for + Graham, Fractional Max-Pooling](http://arxiv.org/abs/1412.6071) for difference between pseudorandom and random. overlapping: When set to True, it means when pooling, the values at the boundary of adjacent pooling cells are used by both cells. For example: @@ -1925,7 +1925,7 @@ pooling_ratio: Pooling ratio for each dimension of `value`, currently only respectively. pseudo_random: When set to True, generates the pooling sequence in a pseudorandom fashion, otherwise, in a random fashion. Check paper [Benjamin - Graham, Fractional Max-Pooling] (http://arxiv.org/abs/1412.6071) for + Graham, Fractional Max-Pooling](http://arxiv.org/abs/1412.6071) for difference between pseudorandom and random. overlapping: When set to True, it means when pooling, the values at the boundary of adjacent pooling cells are used by both cells. For example: diff --git a/tensorflow/core/ops/ops.pbtxt b/tensorflow/core/ops/ops.pbtxt index c274ba9e6e..1f9c47172e 100644 --- a/tensorflow/core/ops/ops.pbtxt +++ b/tensorflow/core/ops/ops.pbtxt @@ -6862,7 +6862,7 @@ op { default_value { b: false } - description: "When set to True, generates the pooling sequence in a\npseudorandom fashion, otherwise, in a random fashion. Check paper [Benjamin\nGraham, Fractional Max-Pooling] (http://arxiv.org/abs/1412.6071) for\ndifference between pseudorandom and random." + description: "When set to True, generates the pooling sequence in a\npseudorandom fashion, otherwise, in a random fashion. Check paper [Benjamin\nGraham, Fractional Max-Pooling](http://arxiv.org/abs/1412.6071) for\ndifference between pseudorandom and random." } attr { name: "overlapping" @@ -6996,7 +6996,7 @@ op { default_value { b: false } - description: "When set to True, generates the pooling sequence in a\npseudorandom fashion, otherwise, in a random fashion. Check paper [Benjamin\nGraham, Fractional Max-Pooling] (http://arxiv.org/abs/1412.6071) for\ndifference between pseudorandom and random." + description: "When set to True, generates the pooling sequence in a\npseudorandom fashion, otherwise, in a random fashion. Check paper [Benjamin\nGraham, Fractional Max-Pooling](http://arxiv.org/abs/1412.6071) for\ndifference between pseudorandom and random." } attr { name: "overlapping" diff --git a/tensorflow/g3doc/api_docs/python/client.md b/tensorflow/g3doc/api_docs/python/client.md index 2d4c52a004..14338f71bc 100644 --- a/tensorflow/g3doc/api_docs/python/client.md +++ b/tensorflow/g3doc/api_docs/python/client.md @@ -52,8 +52,7 @@ with tf.Session() as sess: sess.run(...) ``` -The [`ConfigProto`] -(https://www.tensorflow.org/code/tensorflow/core/protobuf/config.proto) +The [`ConfigProto`](https://www.tensorflow.org/code/tensorflow/core/protobuf/config.proto) protocol buffer exposes various configuration options for a session. For example, to create a session that uses soft constraints for device placement, and log the resulting placement decisions, @@ -84,8 +83,8 @@ the session constructor. * <b>`target`</b>: (Optional.) The execution engine to connect to. - Defaults to using an in-process engine. See [Distributed Tensorflow] - (https://www.tensorflow.org/how_tos/distributed/index.html) + Defaults to using an in-process engine. See + [Distributed Tensorflow](https://www.tensorflow.org/how_tos/distributed/index.html) for more examples. * <b>`graph`</b>: (Optional.) The `Graph` to be launched (described above). * <b>`config`</b>: (Optional.) A [`ConfigProto`](https://www.tensorflow.org/code/tensorflow/core/protobuf/config.proto) diff --git a/tensorflow/python/client/session.py b/tensorflow/python/client/session.py index a23a9b7eba..c139f87c32 100644 --- a/tensorflow/python/client/session.py +++ b/tensorflow/python/client/session.py @@ -1088,8 +1088,7 @@ class Session(BaseSession): sess.run(...) ``` - The [`ConfigProto`] - (https://www.tensorflow.org/code/tensorflow/core/protobuf/config.proto) + The [`ConfigProto`](https://www.tensorflow.org/code/tensorflow/core/protobuf/config.proto) protocol buffer exposes various configuration options for a session. For example, to create a session that uses soft constraints for device placement, and log the resulting placement decisions, @@ -1127,8 +1126,8 @@ class Session(BaseSession): Args: target: (Optional.) The execution engine to connect to. - Defaults to using an in-process engine. See [Distributed Tensorflow] - (https://www.tensorflow.org/how_tos/distributed/index.html) + Defaults to using an in-process engine. See + [Distributed Tensorflow](https://www.tensorflow.org/how_tos/distributed/index.html) for more examples. graph: (Optional.) The `Graph` to be launched (described above). config: (Optional.) A [`ConfigProto`](https://www.tensorflow.org/code/tensorflow/core/protobuf/config.proto) diff --git a/tensorflow/python/framework/ops.py b/tensorflow/python/framework/ops.py index 046695746c..318e656868 100644 --- a/tensorflow/python/framework/ops.py +++ b/tensorflow/python/framework/ops.py @@ -2125,8 +2125,8 @@ class Graph(object): def graph_def_versions(self): """The GraphDef version information of this graph. - For details on the meaning of each version, see [`GraphDef`] - (https://www.tensorflow.org/code/tensorflow/core/framework/graph.proto). + For details on the meaning of each version, see + [`GraphDef`](https://www.tensorflow.org/code/tensorflow/core/framework/graph.proto). Returns: A `VersionDef`. diff --git a/tensorflow/python/ops/image_ops.py b/tensorflow/python/ops/image_ops.py index 39e4227c9b..446a3902fa 100644 --- a/tensorflow/python/ops/image_ops.py +++ b/tensorflow/python/ops/image_ops.py @@ -737,12 +737,9 @@ def resize_images(images, `method` can be one of: - * <b>`ResizeMethod.BILINEAR`</b>: [Bilinear interpolation.] - (https://en.wikipedia.org/wiki/Bilinear_interpolation) - * <b>`ResizeMethod.NEAREST_NEIGHBOR`</b>: [Nearest neighbor interpolation.] - (https://en.wikipedia.org/wiki/Nearest-neighbor_interpolation) - * <b>`ResizeMethod.BICUBIC`</b>: [Bicubic interpolation.] - (https://en.wikipedia.org/wiki/Bicubic_interpolation) + * <b>`ResizeMethod.BILINEAR`</b>: [Bilinear interpolation.](https://en.wikipedia.org/wiki/Bilinear_interpolation) + * <b>`ResizeMethod.NEAREST_NEIGHBOR`</b>: [Nearest neighbor interpolation.](https://en.wikipedia.org/wiki/Nearest-neighbor_interpolation) + * <b>`ResizeMethod.BICUBIC`</b>: [Bicubic interpolation.](https://en.wikipedia.org/wiki/Bicubic_interpolation) * <b>`ResizeMethod.AREA`</b>: Area interpolation. Args: diff --git a/tensorflow/python/ops/nn.py b/tensorflow/python/ops/nn.py index 0845c782b8..9ccf48bbac 100644 --- a/tensorflow/python/ops/nn.py +++ b/tensorflow/python/ops/nn.py @@ -1265,10 +1265,8 @@ def nce_loss(weights, """Computes and returns the noise-contrastive estimation training loss. See [Noise-contrastive estimation: A new estimation principle for - unnormalized statistical models] - (http://www.jmlr.org/proceedings/papers/v9/gutmann10a/gutmann10a.pdf). - Also see our [Candidate Sampling Algorithms Reference] - (../../extras/candidate_sampling.pdf) + unnormalized statistical models](http://www.jmlr.org/proceedings/papers/v9/gutmann10a/gutmann10a.pdf). + Also see our [Candidate Sampling Algorithms Reference](../../extras/candidate_sampling.pdf) Note: By default this uses a log-uniform (Zipfian) distribution for sampling, so your labels must be sorted in order of decreasing frequency to achieve diff --git a/tensorflow/python/ops/nn_ops.py b/tensorflow/python/ops/nn_ops.py index b70cf83d91..88e1d22a63 100644 --- a/tensorflow/python/ops/nn_ops.py +++ b/tensorflow/python/ops/nn_ops.py @@ -612,9 +612,9 @@ def atrous_conv2d(value, filters, rate, padding, name=None): that effectively use atrous convolution in different ways are, among others, [OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks](http://arxiv.org/abs/1312.6229) and [Fast Image - Scanning with Deep Max-Pooling Convolutional Neural Networks] - (http://arxiv.org/abs/1302.1700). Atrous convolution is also closely related - to the so-called noble identities in multi-rate signal processing. + Scanning with Deep Max-Pooling Convolutional Neural Networks](http://arxiv.org/abs/1302.1700). + Atrous convolution is also closely related to the so-called noble identities + in multi-rate signal processing. There are many different ways to implement atrous convolution (see the refs above). The implementation here reduces diff --git a/tensorflow/python/ops/parsing_ops.py b/tensorflow/python/ops/parsing_ops.py index 71b946018d..992fe0c331 100644 --- a/tensorflow/python/ops/parsing_ops.py +++ b/tensorflow/python/ops/parsing_ops.py @@ -153,8 +153,7 @@ def parse_example(serialized, features, name=None, example_names=None): # pylint: disable=line-too-long """Parses `Example` protos into a `dict` of tensors. - Parses a number of serialized [`Example`] - (https://www.tensorflow.org/code/tensorflow/core/example/example.proto) + Parses a number of serialized [`Example`](https://www.tensorflow.org/code/tensorflow/core/example/example.proto) protos given in `serialized`. `example_names` may contain descriptive names for the corresponding serialized @@ -549,8 +548,7 @@ def parse_single_sequence_example( # pylint: disable=line-too-long """Parses a single `SequenceExample` proto. - Parses a single serialized [`SequenceExample`] - (https://www.tensorflow.org/code/tensorflow/core/example/example.proto) + Parses a single serialized [`SequenceExample`](https://www.tensorflow.org/code/tensorflow/core/example/example.proto) proto given in `serialized`. This op parses a serialize sequence example into a tuple of dictionaries diff --git a/tensorflow/python/training/rmsprop.py b/tensorflow/python/training/rmsprop.py index 2a2d185a07..3a9685135b 100644 --- a/tensorflow/python/training/rmsprop.py +++ b/tensorflow/python/training/rmsprop.py @@ -50,8 +50,7 @@ from tensorflow.python.training import training_ops class RMSPropOptimizer(optimizer.Optimizer): """Optimizer that implements the RMSProp algorithm. - See the [paper] - (http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf). + See the [paper](http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf). @@__init__ """ |