Update the GitHub repository URL for TFF.

PiperOrigin-RevId: 634858992

CITATION.cff

@@ -6,4 +6,4 @@ authors:
 title: "TensorFlow Federated"
 version: 0.78.0
 date-released: 2018-12-12
-url: "https://github.com/tensorflow/federated"
+url: "https://github.com/google-parfait/tensorflow-federated"

CONTRIBUTING.md

@@ -37,7 +37,7 @@ information on using pull requests.
 ## Collaborations
 
 If you are interested in collaborating to grow the TFF ecosystem, please see the
-[collaborations page](https://github.com/tensorflow/federated/blob/main/docs/collaborations/README.md)
+[collaborations page](https://github.com/google-parfait/tensorflow-federated/blob/main/docs/collaborations/README.md)
 and/or join our [Discord server](https://discord.com/invite/5shux83qZ5) to
 engage in conversations with other developers building on or contributing to the
 TFF ecosystem.
@@ -80,7 +80,7 @@ git diff --name-only \
 
 Include a license at the top of new files.
 
-*   [Python license example](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/python/__init__.py#L1)
+*   [Python license example](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/python/__init__.py#L1)
 
 ### TensorFlow Guidelines.
 

README.md

@@ -17,12 +17,12 @@ computations, such as aggregated analytics over decentralized data.
 
 TFF's interfaces are organized in two layers:
 
-*   [Federated Learning (FL) API](https://github.com/tensorflow/federated/blob/main/docs/federated_learning.md)
+*   [Federated Learning (FL) API](https://github.com/google-parfait/tensorflow-federated/blob/main/docs/federated_learning.md)
     The `tff.learning` layer offers a set of high-level interfaces that allow
     developers to apply the included implementations of federated training and
     evaluation to their existing TensorFlow models.
 
-*   [Federated Core (FC) API](https://github.com/tensorflow/federated/blob/main/docs/federated_core.md)
+*   [Federated Core (FC) API](https://github.com/google-parfait/tensorflow-federated/blob/main/docs/federated_core.md)
     At the core of the system is a set of lower-level interfaces for concisely
     expressing novel federated algorithms by combining TensorFlow with
     distributed communication operators within a strongly-typed functional
@@ -37,14 +37,14 @@ and try it out yourself!
 ## Installation
 
 See the
-[install](https://github.com/tensorflow/federated/blob/main/docs/install.md)
+[install](https://github.com/google-parfait/tensorflow-federated/blob/main/docs/install.md)
 documentation for instructions on how to install TensorFlow Federated as a
 package or build TensorFlow Federated from source.
 
 ## Getting Started
 
 See the
-[get started](https://github.com/tensorflow/federated/blob/main/docs/get_started.md)
+[get started](https://github.com/google-parfait/tensorflow-federated/blob/main/docs/get_started.md)
 documentation for instructions on how to use TensorFlow Federated.
 
 ## Contributing
@@ -80,13 +80,14 @@ There are a number of ways to contribute depending on what you're interested in:
     infrastructure.
 
 Please be sure to review the
-[contribution](https://github.com/tensorflow/federated/blob/main/CONTRIBUTING.md#guidelines)
+[contribution](https://github.com/google-parfait/tensorflow-federated/blob/main/CONTRIBUTING.md#guidelines)
 guidelines on how to contribute.
 
 ## Issues
 
-Use [GitHub issues](https://github.com/tensorflow/federated/issues) for tracking
-requests and bugs.
+Use
+[GitHub issues](https://github.com/google-parfait/tensorflow-federated/issues)
+for tracking requests and bugs.
 
 ## Questions
 

RELEASE.md

@@ -3,6 +3,8 @@
 ## Breaking Changes
 
 *   Updated `com_github_grpc_grpc` to version `1.50.0`.
+*   Moved the TFF repository from https://github.com/tensorflow/federated to
+    https://github.com/google-parfait/tensorflow-federated.
 
 # Release 0.78.0
 

WORKSPACE

@@ -88,7 +88,7 @@ http_archive(
 # )
 
 # The version of TensorFlow should match the version in
-# https://github.com/tensorflow/federated/blob/main/requirements.txt.
+# https://github.com/google-parfait/tensorflow-federated/blob/main/requirements.txt.
 http_archive(
     name = "org_tensorflow",
     url = "https://github.com/tensorflow/tensorflow/archive/refs/tags/v2.14.0.tar.gz",

docs/_index.yaml

@@ -127,10 +127,10 @@ landing_page:
     items:
     - heading: "TF Federated on GitHub"
       image_path: /resources/images/github-card-16x9.png
-      path: https://github.com/tensorflow/federated
+      path: https://github.com/google-parfait/tensorflow-federated
       buttons:
       - label: "View on GitHub"
-        path: https://github.com/tensorflow/federated
+        path: https://github.com/google-parfait/tensorflow-federated
     - heading: "Federated Learning: Collaborative Machine Learning without Centralized Training Data"
       image_path: /resources/images/google-research-card-16x9.png
       path: https://ai.googleblog.com/2017/04/federated-learning-collaborative.html

docs/collaborations/notes/2022-02-16.md

@@ -172,7 +172,7 @@
 *   [ostrowski] Communicating openly
 
     *   What to make publicly available (on
-        [the GitHub landing page](https://github.com/tensorflow/federated/blob/main/docs/collaborations/README.md))
+        [the GitHub landing page](https://github.com/google-parfait/tensorflow-federated/blob/main/docs/collaborations/README.md))
     *   Summary of discussions and decisions from this and follow-up meetings to
         be made available within a few days after each meeting on th GitHub page
     *   Links to artifacts (any plans, roadmaps, design docs, etc. to be

docs/collaborations/notes/2022-09.29.md

@@ -17,7 +17,7 @@
         *   Suspects: TFF setup cost, communication
         *   Overlapping data ingestion and computation likely to help
         *   Code to support this upcoming
-            *   https://github.com/tensorflow/federated/blob/main/tensorflow\_federated/python/program/prefetching\_data\_source.py
+            *   https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow\_federated/python/program/prefetching\_data\_source.py
             *   Discussion continued on the Discord server
     *   Versioning - also relevant to OpenMined (need to resolve 3-way)
         *   To discuss at a future meeting

docs/deployment.md

@@ -14,14 +14,14 @@ There are two principal modes of deployment for TFF computations:
 *   **Native backends**. We're going to refer to a backend as *native* if it is
     capable of interpreting the syntactic structure of TFF computations as
     defined in
-    [`computation.proto`](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/proto/v0/computation.proto).
+    [`computation.proto`](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/proto/v0/computation.proto).
     A native backend does not necessarily have to support all language
     constructs or intrinsics. Native backends must implement one of the standard
     TFF *executor* interfaces, such as
     [`tff.framework.Executor`](https://www.tensorflow.org/federated/api_docs/python/tff/framework/Executor)
     for consumption by Python code, or the language-independent version of it
     defined in
-    [`executor.proto`](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/proto/v0/executor.proto)
+    [`executor.proto`](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/proto/v0/executor.proto)
     exposed as a gRPC endpoint.
 
     Native backends that support the above interfaces can be used interactively

docs/design/backend.md

@@ -9,7 +9,7 @@ an [AST](compilation.md#ast), meaning a backend constructs environments that
 evaluate an AST.
 
 The
-[backends](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/python/core/backends)
+[backends](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/python/core/backends)
 package contains backends which may extend the TFF compiler and/or the TFF
 runtime; these extensions can be found in the corresponding backend.
 
@@ -27,7 +27,7 @@ low-level abstraction.
 ```
 
 The **blue** nodes are provided by TFF
-[core](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/python/core).
+[core](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/python/core).
 
 The **green**, **red**, **yellow**, and **purple** nodes are provided by the
 [native](#native), [mapreduce](#mapreduce), and [reference](#reference) backends
@@ -41,7 +41,7 @@ inheritance.
 ## Native
 
 The
-[native](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/python/core/backends/native)
+[native](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/python/core/backends/native)
 backend composes of the TFF compiler and TFF runtime in order to compile and
 execute an AST in a way that is reasonably efficient and debuggable.
 
@@ -54,7 +54,7 @@ intrinsics.
 ### Compiler
 
 The
-[compiler.transform_to_native_form](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/python/core/backends/native/compiler.py)
+[compiler.transform_to_native_form](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/python/core/backends/native/compiler.py)
 function compiles an AST into a [native form](#native-form).
 
 ### Runtime
@@ -81,37 +81,37 @@ set_default_context.set_default_context(context)
 However, there are some common configurations:
 
 The
-[execution_context.set_sync_local_cpp_execution_context](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/python/core/backends/native/execution_context.py)
+[execution_context.set_sync_local_cpp_execution_context](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/python/core/backends/native/execution_context.py)
 function constructs an `ExecutionContext` with a native compiler and a
 [local execution stack](execution.md#local-execution-stack).
 
 ## MapReduce
 
 The
-[mapreduce](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/python/core/backends/mapreduce)
+[mapreduce](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/python/core/backends/mapreduce)
 backend contains the data structures and compiler required to construct a form
 that can be executed on MapReduce-like runtimes.
 
 ### `MapReduceForm`
 
 A
-[forms.MapReduceForm](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/python/core/backends/mapreduce/forms.py)
+[forms.MapReduceForm](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/python/core/backends/mapreduce/forms.py)
 is a data structure defining the representation of logic that can be executed on
 MapReduce-like runtimes. This logic is organized as a collection of TensorFlow
 functions, see the
-[forms](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/python/core/backends/mapreduce/forms.py)
+[forms](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/python/core/backends/mapreduce/forms.py)
 module for more information about the nature of these functions.
 
 ### Compiler
 
 The
-[compiler](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/python/core/backends/mapreduce/compiler.py)
+[compiler](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/python/core/backends/mapreduce/compiler.py)
 module contains [Building Block](compilation.md#building-block) and
 [TensorFlow Computation](compilation.md#tensorflow-computation) transformations
 required to compile an AST to a [MapReduceForm](#canonicalform).
 
 The
-[form_utils](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/python/core/backends/mapreduce/form_utils.py)
+[form_utils](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/python/core/backends/mapreduce/form_utils.py)
 module contains the compiler for the MapReduce backend and constructs a
 [MapReduceForm](#canonicalform).
 

docs/design/compilation.md

@@ -3,7 +3,7 @@
 [TOC]
 
 The
-[compiler](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/python/core/impl/compiler)
+[compiler](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/python/core/impl/compiler)
 package contains data structures defining the Python representation of the
 [AST](#ast), core [transformation](#transformation) functions, and
 [compiler](#compiler) related functionality.
@@ -16,15 +16,15 @@ computation.
 ### Building Block
 
 A
-[building_block.ComputationBuildingBlock](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/python/core/impl/compiler/building_blocks.py)
+[building_block.ComputationBuildingBlock](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/python/core/impl/compiler/building_blocks.py)
 is the Python representation of the [AST](#ast).
 
 #### `CompiledComputation`
 
 A
-[building_block.CompiledComputation](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/python/core/impl/compiler/building_blocks.py)
+[building_block.CompiledComputation](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/python/core/impl/compiler/building_blocks.py)
 is a
-[building_block.ComputationBuildingBlock](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/python/core/impl/compiler/building_blocks.py)
+[building_block.ComputationBuildingBlock](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/python/core/impl/compiler/building_blocks.py)
 that represents a computation that will be delegated to an
 [external runtime](execution.md#external-runtime). Currently TFF only supports
 [TensorFlow computations](#tensorFlow-computation), but could be expanded to
@@ -33,13 +33,13 @@ support [Computations](#computation) backed by other external runtimes.
 ### `Computation`
 
 A
-[pb.Computation](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/proto/v0/computation.proto)
+[pb.Computation](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/proto/v0/computation.proto)
 is the Proto or serialized representation of the [AST](#ast).
 
 #### TensorFlow Computation
 
 A
-[pb.Computation](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/proto/v0/computation.proto)
+[pb.Computation](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/proto/v0/computation.proto)
 that represents a [Computations](#computation) that will be delegated to the
 [TensorFlow](execution.md#tensorflow) runtime.
 
@@ -66,25 +66,25 @@ about; as a result, composite transformations are hand-crafted and most are
 somewhat fragile.
 
 The
-[tree_transformations](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/python/core/impl/compiler/tree_transformations.py)
+[tree_transformations](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/python/core/impl/compiler/tree_transformations.py)
 module contains atomic [building block](#building-block) transformations.
 
 The
-[transformations](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/python/core/impl/compiler/transformations.py)
+[transformations](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/python/core/impl/compiler/transformations.py)
 module contains composite [building block](#building-block) transformations.
 
 The
-[tensorflow_computation_transformations](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/python/core/environments/tensorflow_backend/tensorflow_computation_transformations.py)
+[tensorflow_computation_transformations](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/python/core/environments/tensorflow_backend/tensorflow_computation_transformations.py)
 module contains atomic [TensorFlow computation](#tensorflow-computation)
 transformations.
 
 The
-[compiled_computation_transformations](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/python/core/environments/tensorflow_backend/compiled_computation_transformations.py)
+[compiled_computation_transformations](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/python/core/environments/tensorflow_backend/compiled_computation_transformations.py)
 module contains atomic and composite
 [Compiled Computation](#compiled-computation) transformations.
 
 The
-[transformation_utils](https://github.com/tensorflow/federated/blob/main/tensorflow_federated/python/core/impl/compiler/transformation_utils.py)
+[transformation_utils](https://github.com/google-parfait/tensorflow-federated/blob/main/tensorflow_federated/python/core/impl/compiler/transformation_utils.py)
 module contains functions, traversal logic, and data structures used by other
 transformation modules.