TensorFlow user guide: update references to tutorials repo

Summary: TF2.6 only

Reviewers: #tensorflow, #framework_ip_review_-_any_oss_or_third-party_code_use_has_been_approved, #tech_docs, gauthamg

Reviewed By: #tensorflow, #framework_ip_review_-_any_oss_or_third-party_code_use_has_been_approved, gauthamg

Subscribers: grahamh

Maniphest Tasks: T73594

Differential Revision: https://phabricator.sourcevertex.net/D81798

Author: JamesRandom

tensorflow/compiler/plugin/poplar/docs/custom_codelet.rst

@@ -51,7 +51,7 @@ C++ code compiled for, and executed on, the IPU.
 
 For more information about writing Poplar graph programs and codelets, refer to
 the `Poplar and PopLibs User Guide
-<https://docs.graphcore.ai/projects/poplar-user-guide/>`_ and the :tutorials-repo:`Poplar tutorials <tutorials/poplar>` on the Graphcore GitHub tutorials respository.
+<https://docs.graphcore.ai/projects/poplar-user-guide/>`_ and the :tutorials-repo:`Poplar tutorials <tutorials/poplar>` in the Graphcore GitHub examples repository.
 
 Your program must contain a function to build the graph, which will be called
 from TensorFlow when you instantiate the custom op. This has the following
@@ -465,9 +465,11 @@ repository:
 
 * :tutorials-repo-tf1:`Custom op with codelet for custom vertex code <feature_examples/tensorflow/custom_op>`
 
-.. note:: These examples are for TensorFlow 1.
+.. note:: These examples are only for TensorFlow 1.
 
-  From Poplar SDK 3.1, TensorFlow 1 will only be supported in CentOS 7. In addition, `Examples <https://github.com/graphcore/examples/tree/v3.0.0>`__ and `Tutorials <https://github.com/graphcore/tutorials/tree/sdk-release-3.0>`__ for TensorFlow 1 are only available up to version 3.0 of the SDK. There has been limited testing of the 3.0 versions of the TensorFlow 1 tutorials and examples with Poplar SDK 3.1.
+  From Poplar SDK 3.1, TensorFlow 1 will only be supported in CentOS 7.
+
+  In addition, `Examples <https://github.com/graphcore/examples/tree/v3.0.0>`__ and `Tutorials <https://github.com/graphcore/tutorials/tree/sdk-release-3.0>`__ for TensorFlow 1 are only available up to version 3.0 of the SDK. There has been limited testing of the 3.0 versions of the TensorFlow 1 tutorials and examples with later versions of the Poplar SDK.
 
 
 

tensorflow/compiler/plugin/poplar/docs/perf_training.rst

@@ -98,7 +98,7 @@ array and will contain `x1 - x2` for each iteration in the loop.
 
 See entries in the :ref:`api-section` for more details.
 
-For a more practical example, the Graphcore tutorials repository contains a :tutorials-repo:`detailed tutorial about using infeeds and outfeeds with TensorFlow <tutorials/tensorflow2/infeed_outfeed>`.
+For a more practical example, the Graphcore examples repository contains a :tutorials-repo:`detailed tutorial about using infeeds and outfeeds with TensorFlow <tutorials/tensorflow2/infeed_outfeed>`.
 
 
 .. _infeed-simplification:
@@ -536,11 +536,11 @@ If an operation requires the full tensor, the shards can be broadcast to all
 replicas.
 
 RTS is used to save memory when using stateful optimizers, such as Adam or LAMB,
-with replicas. In Keras, it can be enabled by setting the 
+with replicas. In Keras, it can be enabled by setting the
 `replicated_optimizer_state_sharding`
-argument to True in the 
+argument to True in the
 :py:func:`~keras.ipu.extensions.FunctionalExtension.set_gradient_accumulation_options`
-method for non-pipelined models and the 
+method for non-pipelined models and the
 :py:func:`~keras.ipu.extensions.FunctionalExtension.set_pipelining_options` method
 for pipelined models.
 

tensorflow/compiler/plugin/poplar/docs/references.rst

@@ -9,8 +9,7 @@ Graphcore
 _________
 
 - The latest versions of all the Graphcore `software documentation <https://docs.graphcore.ai/page/software.html>`_ including user guides and technical notes
-- The Graphcore `GitHub examples repository <https://github.com/graphcore/examples>`_ has application examples
-- The Graphcore `GitHub tutorials repository <https://github.com/graphcore/tutorials>`_ has examples of features and simple applications, and tutorials
+- The Graphcore `GitHub examples repository <https://github.com/graphcore/examples>`_ has full applications, examples of features, simple applications and tutorials
 - There are `Graphcore videos <https://www.graphcore.ai/resources/how-to-videos>`_ with explanations and demos of Graphcore software
 - The source code for `TensorFlow for the IPU <https://github.com/graphcore/tensorflow>`_ on GitHub