TensorFlow: Upstream commits to git.

Changes:
- More documentation edits, fixes to anchors,
  fixes to mathjax, new images, etc.
- Add rnn models to pip install package.

Base CL: 107312343

README.md

@@ -19,8 +19,8 @@ changes to TensorFlow through
 
 **We use [github issues](https://github.com/tensorflow/tensorflow/issues) for
 tracking requests and bugs, but please see
-[Community](resources/index.md#community) for general questions and
-discussion.**
+[Community](tensorflow/g3doc/resources/index.md#community) for general questions
+and discussion.**
 
 # Download and Setup
 

tensorflow/g3doc/api_docs/cc/ClassEnv.md

@@ -1,12 +1,12 @@
-#Class tensorflow::Env
+#Class tensorflow::Env <a class="md-anchor" id="AUTOGENERATED-class-tensorflow--env"></a>
 
 An interface used by the tensorflow implementation to access operating system functionality like the filesystem etc.
 
 Callers may wish to provide a custom Env object to get fine grain control.
 
 All Env implementations are safe for concurrent access from multiple threads without any external synchronization.
 
-##Member Summary
+##Member Summary <a class="md-anchor" id="AUTOGENERATED-member-summary"></a>
 
 * [tensorflow::Env::Env](#tensorflow_Env_Env)
 * [virtual tensorflow::Env::~Env](#virtual_tensorflow_Env_Env)
@@ -39,105 +39,105 @@ All Env implementations are safe for concurrent access from multiple threads wit
 * [static Env* tensorflow::Env::Default](#static_Env_tensorflow_Env_Default)
   * Returns a default environment suitable for the current operating system.
 
-##Member Details
+##Member Details <a class="md-anchor" id="AUTOGENERATED-member-details"></a>
 
-#### tensorflow::Env::Env() {#tensorflow_Env_Env}
+#### tensorflow::Env::Env() <a class="md-anchor" id="tensorflow_Env_Env"></a>
 
 
 
 
 
-#### virtual tensorflow::Env::~Env() {#virtual_tensorflow_Env_Env}
+#### virtual tensorflow::Env::~Env() <a class="md-anchor" id="virtual_tensorflow_Env_Env"></a>
 
 
 
 
 
-#### virtual Status tensorflow::Env::NewRandomAccessFile(const string &amp;fname, RandomAccessFile **result)=0 {#virtual_Status_tensorflow_Env_NewRandomAccessFile}
+#### virtual Status tensorflow::Env::NewRandomAccessFile(const string &amp;fname, RandomAccessFile **result)=0 <a class="md-anchor" id="virtual_Status_tensorflow_Env_NewRandomAccessFile"></a>
 
 Creates a brand new random access read-only file with the specified name.
 
 On success, stores a pointer to the new file in *result and returns OK. On failure stores NULL in *result and returns non-OK. If the file does not exist, returns a non-OK status.
 
 The returned file may be concurrently accessed by multiple threads.
 
-#### virtual Status tensorflow::Env::NewWritableFile(const string &amp;fname, WritableFile **result)=0 {#virtual_Status_tensorflow_Env_NewWritableFile}
+#### virtual Status tensorflow::Env::NewWritableFile(const string &amp;fname, WritableFile **result)=0 <a class="md-anchor" id="virtual_Status_tensorflow_Env_NewWritableFile"></a>
 
 Creates an object that writes to a new file with the specified name.
 
 Deletes any existing file with the same name and creates a new file. On success, stores a pointer to the new file in *result and returns OK. On failure stores NULL in *result and returns non-OK.
 
 The returned file will only be accessed by one thread at a time.
 
-#### virtual Status tensorflow::Env::NewAppendableFile(const string &amp;fname, WritableFile **result)=0 {#virtual_Status_tensorflow_Env_NewAppendableFile}
+#### virtual Status tensorflow::Env::NewAppendableFile(const string &amp;fname, WritableFile **result)=0 <a class="md-anchor" id="virtual_Status_tensorflow_Env_NewAppendableFile"></a>
 
 Creates an object that either appends to an existing file, or writes to a new file (if the file does not exist to begin with).
 
 On success, stores a pointer to the new file in *result and returns OK. On failure stores NULL in *result and returns non-OK.
 
 The returned file will only be accessed by one thread at a time.
 
-#### virtual bool tensorflow::Env::FileExists(const string &amp;fname)=0 {#virtual_bool_tensorflow_Env_FileExists}
+#### virtual bool tensorflow::Env::FileExists(const string &amp;fname)=0 <a class="md-anchor" id="virtual_bool_tensorflow_Env_FileExists"></a>
 
 Returns true iff the named file exists.
 
 
 
-#### virtual Status tensorflow::Env::GetChildren(const string &amp;dir, std::vector&lt; string &gt; *result)=0 {#virtual_Status_tensorflow_Env_GetChildren}
+#### virtual Status tensorflow::Env::GetChildren(const string &amp;dir, std::vector&lt; string &gt; *result)=0 <a class="md-anchor" id="virtual_Status_tensorflow_Env_GetChildren"></a>
 
 Stores in *result the names of the children of the specified directory. The names are relative to &quot;dir&quot;.
 
 Original contents of *results are dropped.
 
-#### virtual Status tensorflow::Env::DeleteFile(const string &amp;fname)=0 {#virtual_Status_tensorflow_Env_DeleteFile}
+#### virtual Status tensorflow::Env::DeleteFile(const string &amp;fname)=0 <a class="md-anchor" id="virtual_Status_tensorflow_Env_DeleteFile"></a>
 
 Deletes the named file.
 
 
 
-#### virtual Status tensorflow::Env::CreateDir(const string &amp;dirname)=0 {#virtual_Status_tensorflow_Env_CreateDir}
+#### virtual Status tensorflow::Env::CreateDir(const string &amp;dirname)=0 <a class="md-anchor" id="virtual_Status_tensorflow_Env_CreateDir"></a>
 
 Creates the specified directory.
 
 
 
-#### virtual Status tensorflow::Env::DeleteDir(const string &amp;dirname)=0 {#virtual_Status_tensorflow_Env_DeleteDir}
+#### virtual Status tensorflow::Env::DeleteDir(const string &amp;dirname)=0 <a class="md-anchor" id="virtual_Status_tensorflow_Env_DeleteDir"></a>
 
 Deletes the specified directory.
 
 
 
-#### virtual Status tensorflow::Env::GetFileSize(const string &amp;fname, uint64 *file_size)=0 {#virtual_Status_tensorflow_Env_GetFileSize}
+#### virtual Status tensorflow::Env::GetFileSize(const string &amp;fname, uint64 *file_size)=0 <a class="md-anchor" id="virtual_Status_tensorflow_Env_GetFileSize"></a>
 
 Stores the size of fname in *file_size.
 
 
 
-#### virtual Status tensorflow::Env::RenameFile(const string &amp;src, const string &amp;target)=0 {#virtual_Status_tensorflow_Env_RenameFile}
+#### virtual Status tensorflow::Env::RenameFile(const string &amp;src, const string &amp;target)=0 <a class="md-anchor" id="virtual_Status_tensorflow_Env_RenameFile"></a>
 
 Renames file src to target. If target already exists, it will be replaced.
 
 
 
-#### virtual uint64 tensorflow::Env::NowMicros()=0 {#virtual_uint64_tensorflow_Env_NowMicros}
+#### virtual uint64 tensorflow::Env::NowMicros()=0 <a class="md-anchor" id="virtual_uint64_tensorflow_Env_NowMicros"></a>
 
 Returns the number of micro-seconds since some fixed point in time. Only useful for computing deltas of time.
 
 
 
-#### virtual void tensorflow::Env::SleepForMicroseconds(int micros)=0 {#virtual_void_tensorflow_Env_SleepForMicroseconds}
+#### virtual void tensorflow::Env::SleepForMicroseconds(int micros)=0 <a class="md-anchor" id="virtual_void_tensorflow_Env_SleepForMicroseconds"></a>
 
 Sleeps/delays the thread for the prescribed number of micro-seconds.
 
 
 
-#### virtual Thread* tensorflow::Env::StartThread(const ThreadOptions &amp;thread_options, const string &amp;name, std::function&lt; void()&gt; fn) TF_MUST_USE_RESULT=0 {#virtual_Thread_tensorflow_Env_StartThread}
+#### virtual Thread* tensorflow::Env::StartThread(const ThreadOptions &amp;thread_options, const string &amp;name, std::function&lt; void()&gt; fn) TF_MUST_USE_RESULT=0 <a class="md-anchor" id="virtual_Thread_tensorflow_Env_StartThread"></a>
 
 Returns a new thread that is running fn() and is identified (for debugging/performance-analysis) by &quot;name&quot;.
 
 Caller takes ownership of the result and must delete it eventually (the deletion will block until fn() stops running).
 
-#### static Env* tensorflow::Env::Default() {#static_Env_tensorflow_Env_Default}
+#### static Env* tensorflow::Env::Default() <a class="md-anchor" id="static_Env_tensorflow_Env_Default"></a>
 
 Returns a default environment suitable for the current operating system.
 

tensorflow/g3doc/api_docs/cc/ClassEnvWrapper.md

@@ -1,10 +1,10 @@
-#Class tensorflow::EnvWrapper
+#Class tensorflow::EnvWrapper <a class="md-anchor" id="AUTOGENERATED-class-tensorflow--envwrapper"></a>
 
 An implementation of Env that forwards all calls to another Env .
 
 May be useful to clients who wish to override just part of the functionality of another Env .
 
-##Member Summary
+##Member Summary <a class="md-anchor" id="AUTOGENERATED-member-summary"></a>
 
 * [tensorflow::EnvWrapper::EnvWrapper](#tensorflow_EnvWrapper_EnvWrapper)
   * Initializes an EnvWrapper that delegates all calls to *t.
@@ -38,105 +38,105 @@ May be useful to clients who wish to override just part of the functionality of
 * [Thread* tensorflow::EnvWrapper::StartThread](#Thread_tensorflow_EnvWrapper_StartThread)
   * Returns a new thread that is running fn() and is identified (for debugging/performance-analysis) by &quot;name&quot;.
 
-##Member Details
+##Member Details <a class="md-anchor" id="AUTOGENERATED-member-details"></a>
 
-#### tensorflow::EnvWrapper::EnvWrapper(Env *t) {#tensorflow_EnvWrapper_EnvWrapper}
+#### tensorflow::EnvWrapper::EnvWrapper(Env *t) <a class="md-anchor" id="tensorflow_EnvWrapper_EnvWrapper"></a>
 
 Initializes an EnvWrapper that delegates all calls to *t.
 
 
 
-#### virtual tensorflow::EnvWrapper::~EnvWrapper() {#virtual_tensorflow_EnvWrapper_EnvWrapper}
+#### virtual tensorflow::EnvWrapper::~EnvWrapper() <a class="md-anchor" id="virtual_tensorflow_EnvWrapper_EnvWrapper"></a>
 
 
 
 
 
-#### Env* tensorflow::EnvWrapper::target() const {#Env_tensorflow_EnvWrapper_target}
+#### Env* tensorflow::EnvWrapper::target() const <a class="md-anchor" id="Env_tensorflow_EnvWrapper_target"></a>
 
 Returns the target to which this Env forwards all calls.
 
 
 
-#### Status tensorflow::EnvWrapper::NewRandomAccessFile(const string &amp;f, RandomAccessFile **r) override {#Status_tensorflow_EnvWrapper_NewRandomAccessFile}
+#### Status tensorflow::EnvWrapper::NewRandomAccessFile(const string &amp;f, RandomAccessFile **r) override <a class="md-anchor" id="Status_tensorflow_EnvWrapper_NewRandomAccessFile"></a>
 
 Creates a brand new random access read-only file with the specified name.
 
 On success, stores a pointer to the new file in *result and returns OK. On failure stores NULL in *result and returns non-OK. If the file does not exist, returns a non-OK status.
 
 The returned file may be concurrently accessed by multiple threads.
 
-#### Status tensorflow::EnvWrapper::NewWritableFile(const string &amp;f, WritableFile **r) override {#Status_tensorflow_EnvWrapper_NewWritableFile}
+#### Status tensorflow::EnvWrapper::NewWritableFile(const string &amp;f, WritableFile **r) override <a class="md-anchor" id="Status_tensorflow_EnvWrapper_NewWritableFile"></a>
 
 Creates an object that writes to a new file with the specified name.
 
 Deletes any existing file with the same name and creates a new file. On success, stores a pointer to the new file in *result and returns OK. On failure stores NULL in *result and returns non-OK.
 
 The returned file will only be accessed by one thread at a time.
 
-#### Status tensorflow::EnvWrapper::NewAppendableFile(const string &amp;f, WritableFile **r) override {#Status_tensorflow_EnvWrapper_NewAppendableFile}
+#### Status tensorflow::EnvWrapper::NewAppendableFile(const string &amp;f, WritableFile **r) override <a class="md-anchor" id="Status_tensorflow_EnvWrapper_NewAppendableFile"></a>
 
 Creates an object that either appends to an existing file, or writes to a new file (if the file does not exist to begin with).
 
 On success, stores a pointer to the new file in *result and returns OK. On failure stores NULL in *result and returns non-OK.
 
 The returned file will only be accessed by one thread at a time.
 
-#### bool tensorflow::EnvWrapper::FileExists(const string &amp;f) override {#bool_tensorflow_EnvWrapper_FileExists}
+#### bool tensorflow::EnvWrapper::FileExists(const string &amp;f) override <a class="md-anchor" id="bool_tensorflow_EnvWrapper_FileExists"></a>
 
 Returns true iff the named file exists.
 
 
 
-#### Status tensorflow::EnvWrapper::GetChildren(const string &amp;dir, std::vector&lt; string &gt; *r) override {#Status_tensorflow_EnvWrapper_GetChildren}
+#### Status tensorflow::EnvWrapper::GetChildren(const string &amp;dir, std::vector&lt; string &gt; *r) override <a class="md-anchor" id="Status_tensorflow_EnvWrapper_GetChildren"></a>
 
 Stores in *result the names of the children of the specified directory. The names are relative to &quot;dir&quot;.
 
 Original contents of *results are dropped.
 
-#### Status tensorflow::EnvWrapper::DeleteFile(const string &amp;f) override {#Status_tensorflow_EnvWrapper_DeleteFile}
+#### Status tensorflow::EnvWrapper::DeleteFile(const string &amp;f) override <a class="md-anchor" id="Status_tensorflow_EnvWrapper_DeleteFile"></a>
 
 Deletes the named file.
 
 
 
-#### Status tensorflow::EnvWrapper::CreateDir(const string &amp;d) override {#Status_tensorflow_EnvWrapper_CreateDir}
+#### Status tensorflow::EnvWrapper::CreateDir(const string &amp;d) override <a class="md-anchor" id="Status_tensorflow_EnvWrapper_CreateDir"></a>
 
 Creates the specified directory.
 
 
 
-#### Status tensorflow::EnvWrapper::DeleteDir(const string &amp;d) override {#Status_tensorflow_EnvWrapper_DeleteDir}
+#### Status tensorflow::EnvWrapper::DeleteDir(const string &amp;d) override <a class="md-anchor" id="Status_tensorflow_EnvWrapper_DeleteDir"></a>
 
 Deletes the specified directory.
 
 
 
-#### Status tensorflow::EnvWrapper::GetFileSize(const string &amp;f, uint64 *s) override {#Status_tensorflow_EnvWrapper_GetFileSize}
+#### Status tensorflow::EnvWrapper::GetFileSize(const string &amp;f, uint64 *s) override <a class="md-anchor" id="Status_tensorflow_EnvWrapper_GetFileSize"></a>
 
 Stores the size of fname in *file_size.
 
 
 
-#### Status tensorflow::EnvWrapper::RenameFile(const string &amp;s, const string &amp;t) override {#Status_tensorflow_EnvWrapper_RenameFile}
+#### Status tensorflow::EnvWrapper::RenameFile(const string &amp;s, const string &amp;t) override <a class="md-anchor" id="Status_tensorflow_EnvWrapper_RenameFile"></a>
 
 Renames file src to target. If target already exists, it will be replaced.
 
 
 
-#### uint64 tensorflow::EnvWrapper::NowMicros() override {#uint64_tensorflow_EnvWrapper_NowMicros}
+#### uint64 tensorflow::EnvWrapper::NowMicros() override <a class="md-anchor" id="uint64_tensorflow_EnvWrapper_NowMicros"></a>
 
 Returns the number of micro-seconds since some fixed point in time. Only useful for computing deltas of time.
 
 
 
-#### void tensorflow::EnvWrapper::SleepForMicroseconds(int micros) override {#void_tensorflow_EnvWrapper_SleepForMicroseconds}
+#### void tensorflow::EnvWrapper::SleepForMicroseconds(int micros) override <a class="md-anchor" id="void_tensorflow_EnvWrapper_SleepForMicroseconds"></a>
 
 Sleeps/delays the thread for the prescribed number of micro-seconds.
 
 
 
-#### Thread* tensorflow::EnvWrapper::StartThread(const ThreadOptions &amp;thread_options, const string &amp;name, std::function&lt; void()&gt; fn) override {#Thread_tensorflow_EnvWrapper_StartThread}
+#### Thread* tensorflow::EnvWrapper::StartThread(const ThreadOptions &amp;thread_options, const string &amp;name, std::function&lt; void()&gt; fn) override <a class="md-anchor" id="Thread_tensorflow_EnvWrapper_StartThread"></a>
 
 Returns a new thread that is running fn() and is identified (for debugging/performance-analysis) by &quot;name&quot;.
 

tensorflow/g3doc/api_docs/cc/ClassRandomAccessFile.md

@@ -1,31 +1,31 @@
-#Class tensorflow::RandomAccessFile
+#Class tensorflow::RandomAccessFile <a class="md-anchor" id="AUTOGENERATED-class-tensorflow--randomaccessfile"></a>
 
 A file abstraction for randomly reading the contents of a file.
 
 
 
-##Member Summary
+##Member Summary <a class="md-anchor" id="AUTOGENERATED-member-summary"></a>
 
 * [tensorflow::RandomAccessFile::RandomAccessFile](#tensorflow_RandomAccessFile_RandomAccessFile)
 * [virtual tensorflow::RandomAccessFile::~RandomAccessFile](#virtual_tensorflow_RandomAccessFile_RandomAccessFile)
 * [virtual Status tensorflow::RandomAccessFile::Read](#virtual_Status_tensorflow_RandomAccessFile_Read)
   * Reads up to &quot;n&quot; bytes from the file starting at &quot;offset&quot;.
 
-##Member Details
+##Member Details <a class="md-anchor" id="AUTOGENERATED-member-details"></a>
 
-#### tensorflow::RandomAccessFile::RandomAccessFile() {#tensorflow_RandomAccessFile_RandomAccessFile}
+#### tensorflow::RandomAccessFile::RandomAccessFile() <a class="md-anchor" id="tensorflow_RandomAccessFile_RandomAccessFile"></a>
 
 
 
 
 
-#### virtual tensorflow::RandomAccessFile::~RandomAccessFile() {#virtual_tensorflow_RandomAccessFile_RandomAccessFile}
+#### virtual tensorflow::RandomAccessFile::~RandomAccessFile() <a class="md-anchor" id="virtual_tensorflow_RandomAccessFile_RandomAccessFile"></a>
 
 
 
 
 
-#### virtual Status tensorflow::RandomAccessFile::Read(uint64 offset, size_t n, StringPiece *result, char *scratch) const =0 {#virtual_Status_tensorflow_RandomAccessFile_Read}
+#### virtual Status tensorflow::RandomAccessFile::Read(uint64 offset, size_t n, StringPiece *result, char *scratch) const =0 <a class="md-anchor" id="virtual_Status_tensorflow_RandomAccessFile_Read"></a>
 
 Reads up to &quot;n&quot; bytes from the file starting at &quot;offset&quot;.