(torchx/docs)(take2) replace links to github.com/pytorch/torchx with github.com/meta-pytorch/torchx

.github/ISSUE_TEMPLATE/bug-report.md

@@ -37,7 +37,7 @@ Steps to reproduce the behavior:
 
 ## Environment
 
-<!-- Please run and include the output from https://github.com/pytorch/torchx/blob/main/scripts/collect_env.py. -->
+<!-- Please run and include the output from https://github.com/meta-pytorch/torchx/blob/main/scripts/collect_env.py. -->
 
  - torchx version (e.g. 0.1.0rc1):
  - Python version:

.github/ISSUE_TEMPLATE/questions-help-support.md

@@ -10,7 +10,7 @@ about: Do you need support? We have resources.
 ### Please note that this issue tracker is not a help form and this issue will be closed.
 
 Before submitting, please ensure you have gone through our
-[documentation](https://pytorch.org/torchx).
+[documentation](https://meta-pytorch.org/torchx).
 
 
 ### Question

CHANGELOG.md

@@ -75,7 +75,7 @@
 
 ## torchx-0.5.0
 
-* Milestone: https://github.com/pytorch/torchx/milestone/7
+* Milestone: https://github.com/meta-pytorch/torchx/milestone/7
 
 * `torchx.schedulers`
   * Kubernetes MCAD Scheduler (Prototype)
@@ -116,7 +116,7 @@
 
 ## torchx-0.4.0
 
-* Milestone: https://github.com/pytorch/torchx/milestone/6
+* Milestone: https://github.com/meta-pytorch/torchx/milestone/6
 
 * `torchx.schedulers`
   * GCP Batch (Prototype)
@@ -142,7 +142,7 @@
 
 ## torchx-0.3.0
 
-* Milestone: https://github.com/pytorch/torchx/milestone/5
+* Milestone: https://github.com/meta-pytorch/torchx/milestone/5
 
 * `torchx.schedulers`
   * List API (Prototype)
@@ -189,7 +189,7 @@
 
 ## torchx-0.2.0
 
-* Milestone: https://github.com/pytorch/torchx/milestone/4
+* Milestone: https://github.com/meta-pytorch/torchx/milestone/4
 
 * `torchx.schedulers`
     * DeviceMounts
@@ -245,7 +245,7 @@
 
 ## torchx-0.1.2
 
-Milestone: https://github.com/pytorch/torchx/milestones/3
+Milestone: https://github.com/meta-pytorch/torchx/milestones/3
 
 * PyTorch 1.11 Support
 * Python 3.10 Support
@@ -285,7 +285,7 @@ Milestone: https://github.com/pytorch/torchx/milestones/3
     * Ax runner now lives in the Ax repo https://github.com/facebook/Ax/commit/8e2e68f21155e918996bda0b7d97b5b9ef4e0cba
 * `torchx.cli`
   * `.torchxconfig`
-    * You can now specify component argument defaults `.torchxconfig` https://github.com/pytorch/torchx/commit/c37cfd7846d5a0cb527dd19c8c95e881858f8f0a
+    * You can now specify component argument defaults `.torchxconfig` https://github.com/meta-pytorch/torchx/commit/c37cfd7846d5a0cb527dd19c8c95e881858f8f0a
     * `~/.torchxconfig` can now be used to set user level defaults. #378
     * `--workspace` can be configured #397
   * Color change and bug fixes #419
@@ -301,7 +301,7 @@ Milestone: https://github.com/pytorch/torchx/milestones/3
 
 ## torchx-0.1.1
 
-* Milestone: https://github.com/pytorch/torchx/milestone/2
+* Milestone: https://github.com/meta-pytorch/torchx/milestone/2
 
 * `torchx.schedulers`
   * #287, #286 - Implement `local_docker` scheduler using docker client lib

README.md

@@ -1,7 +1,7 @@
 [![PyPI](https://img.shields.io/pypi/v/torchx)](https://pypi.org/project/torchx/)
-[![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://github.com/pytorch/torchx/blob/main/LICENSE)
-![Tests](https://github.com/pytorch/torchx/actions/workflows/python-unittests.yaml/badge.svg)
-![Lint](https://github.com/pytorch/torchx/actions/workflows/lint.yaml/badge.svg)
+[![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](https://github.com/meta-pytorch/torchx/blob/main/LICENSE)
+![Tests](https://github.com/meta-pytorch/torchx/actions/workflows/python-unittests.yaml/badge.svg)
+![Lint](https://github.com/meta-pytorch/torchx/actions/workflows/lint.yaml/badge.svg)
 [![codecov](https://codecov.io/gh/pytorch/torchx/branch/main/graph/badge.svg?token=ceHHIm0hXy)](https://codecov.io/gh/pytorch/torchx)
 
 
@@ -20,16 +20,16 @@ TorchX currently supports:
 * Docker
 * Local
 
-Need a scheduler not listed? [Let us know!](https://github.com/pytorch/torchx/issues?q=is%3Aopen+is%3Aissue+label%3Ascheduler-request)
+Need a scheduler not listed? [Let us know!](https://github.com/meta-pytorch/torchx/issues?q=is%3Aopen+is%3Aissue+label%3Ascheduler-request)
 
 ## Quickstart
 
-See the [quickstart guide](https://pytorch.org/torchx/latest/quickstart.html).
+See the [quickstart guide](https://meta-pytorch.org/torchx/latest/quickstart.html).
 
 ## Documentation
 
-* [Stable Documentation](https://pytorch.org/torchx/latest/)
-* [Nightly Documentation](https://pytorch.org/torchx/main/)
+* [Stable Documentation](https://meta-pytorch.org/torchx/latest/)
+* [Nightly Documentation](https://meta-pytorch.org/torchx/main/)
 
 ## Requirements
 
@@ -71,22 +71,22 @@ pip install torchx-nightly[dev]
 
 ```bash
 # install torchx sdk and CLI from source
-$ pip install -e git+https://github.com/pytorch/torchx.git#egg=torchx
+$ pip install -e git+https://github.com/meta-pytorch/torchx.git#egg=torchx
 
 # install extra dependencies
-$ pip install -e git+https://github.com/pytorch/torchx.git#egg=torchx[dev]
+$ pip install -e git+https://github.com/meta-pytorch/torchx.git#egg=torchx[dev]
 ```
 
 ### Docker
 
 TorchX provides a docker container for using as as part of a TorchX role.
 
-See: https://github.com/pytorch/torchx/pkgs/container/torchx
+See: https://github.com/meta-pytorch/torchx/pkgs/container/torchx
 
 ## Contributing
 
-We welcome PRs! See the [CONTRIBUTING](https://github.com/pytorch/torchx/blob/main/CONTRIBUTING.md) file.
+We welcome PRs! See the [CONTRIBUTING](https://github.com/meta-pytorch/torchx/blob/main/CONTRIBUTING.md) file.
 
 ## License
 
-TorchX is BSD licensed, as found in the [LICENSE](https://github.com/pytorch/torchx/blob/main/LICENSE) file.
+TorchX is BSD licensed, as found in the [LICENSE](https://github.com/meta-pytorch/torchx/blob/main/LICENSE) file.

docs/doc_push.sh

@@ -7,7 +7,7 @@
 
 #
 # Builds docs from the checkedout HEAD
-# and pushes the artifacts to gh-pages branch in github.com/pytorch/torchx
+# and pushes the artifacts to gh-pages branch in github.com/meta-pytorch/torchx
 #
 # 1. sphinx generated docs are copied to <repo-root>/<version>
 # 2. if a release tag is found on HEAD then redirects are copied to <repo-root>/latest
@@ -21,8 +21,8 @@
 #           |- main (redirects to the most recent ver in trunk, including release)
 #           |- latest (redirects to the most recent release)
 # If the most recent  release is 0.1.0 and main is at 0.1.1rc1 then,
-# https://pytorch.org/torchx/main -> https://pytorch.org/torchx/0.1.1rc1
-# https://pytorch.org/torchx/latest -> https://pytorch.org/torchx/0.1.0
+# https://meta-pytorch.org/torchx/main -> https://meta-pytorch.org/torchx/0.1.1rc1
+# https://meta-pytorch.org/torchx/latest -> https://meta-pytorch.org/torchx/0.1.0
 #
 # Redirects are done via Jekyll redirect-from  plugin. See:
 #   sources/scripts/create_redirect_md.py

docs/source/_static/js/torchx.js

@@ -19,7 +19,7 @@ function setLinks(colabLink, notebookLink, githubLink) {
 
 const version = $(".version").text().trim().split(" ")[0].substr(1);
 const colabBase = "https://colab.research.google.com/github/pytorch/torchx/blob/gh-pages/" + version
-const githubBase = "https://github.com/pytorch/torchx/blob/main/"
+const githubBase = "https://github.com/meta-pytorch/torchx/blob/main/"
 
 var downloadNote = $(".sphx-glr-download-link-note.admonition.note");
 var isNBSphinx = $(".nbinput");

docs/source/component_best_practices.rst

@@ -144,4 +144,4 @@ You can setup integration tests with your components by either using the
 programmatic runner API or write a bash script to call the CLI.
 
 You can see both styles in use in the core
-`TorchX scheduler integration tests <https://github.com/pytorch/torchx/tree/main/.github/workflows>`__.
+`TorchX scheduler integration tests <https://github.com/meta-pytorch/torchx/tree/main/.github/workflows>`__.

docs/source/conf.py

@@ -46,7 +46,7 @@
 #
 needs_sphinx = "1.6"
 
-user_agent = "Mozilla/5.0 (X11; Linux x86_64; rv:25.0) Gecko/20100101 Firefox/25.0 github.com/pytorch/torchx"
+user_agent = "Mozilla/5.0 (X11; Linux x86_64; rv:25.0) Gecko/20100101 Firefox/25.0 github.com/meta-pytorch/torchx"
 
 # Add any Sphinx extension module names here, as strings. They can be
 # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
@@ -333,12 +333,10 @@ def handle_item(fieldarg, content):
 
 if version in tags:
     notebook_version = version
-    code_url = (
-        f"https://github.com/pytorch/torchx/archive/refs/tags/{notebook_version}.tar.gz"
-    )
+    code_url = f"https://github.com/meta-pytorch/torchx/archive/refs/tags/{notebook_version}.tar.gz"
 else:
     notebook_version = "main"
-    code_url = f"https://github.com/pytorch/torchx/archive/refs/heads/{notebook_version}.tar.gz"
+    code_url = f"https://github.com/meta-pytorch/torchx/archive/refs/heads/{notebook_version}.tar.gz"
 
 first_notebook_cell = f"""
 !pip install torchx

docs/source/index.rst

@@ -1,4 +1,4 @@
-:github_url: https://github.com/pytorch/torchx
+:github_url: https://github.com/meta-pytorch/torchx
 
 TorchX
 ==================

docs/source/quickstart.md

@@ -29,7 +29,7 @@ $ pip install "torchx[dev]"
 ```
 <!-- #endmd -->
 
-See the [README](https://github.com/pytorch/torchx) for more
+See the [README](https://github.com/meta-pytorch/torchx) for more
 information on installation.
 
 ```sh
@@ -164,7 +164,7 @@ partition=torchx
 
 TorchX supports a large number of schedulers.
 Don't see yours?
-[Request it!](https://github.com/pytorch/torchx/issues/new?assignees=&labels=&template=feature-request.md)
+[Request it!](https://github.com/meta-pytorch/torchx/issues/new?assignees=&labels=&template=feature-request.md)
 
 Remote schedulers operate the exact same way the local schedulers do. The same
 run command for local works out of the box on remote.

docs/versions_html.py

@@ -10,13 +10,13 @@
 similar to: https://raw.githubusercontent.com/pytorch/pytorch.github.io/site/docs/versions.html
 
 This list of versions is displayed on the top LHS dropdown of
-https://pytorch.org/torchx.
+https://meta-pytorch.org/torchx.
 
 Usage (also see ``doc_push.sh``):
 
 ::
  # NOTE: YOU HAVE TO RUN THE SCRIPT FROM THE ROOT of gh-pages branch checkout
- git clone -b gh-pages --single-branch https://github.com/pytorch/torchx.git /tmp/torchx-gh-pages
+ git clone -b gh-pages --single-branch https://github.com/meta-pytorch/torchx.git /tmp/torchx-gh-pages
  cd /tmp/torchx-gh-pages
  $torchx_repo_root/docs/versions_html.py`
 """
@@ -114,7 +114,7 @@ def versions_list(versions: List[str]) -> List[str]:
 
 
 def gen_versions_html() -> None:
-    # cwd is expected to be https://github.com/pytorch/torchx/tree/gh-pages
+    # cwd is expected to be https://github.com/meta-pytorch/torchx/tree/gh-pages
     # most top level subdirs are versioned docs
     print(f"Generating {VERSIONS_HTML}")
 

setup.py

@@ -61,7 +61,7 @@ def get_nightly_version():
         description="TorchX SDK and Components",
         long_description=readme,
         long_description_content_type="text/markdown",
-        url="https://github.com/pytorch/torchx",
+        url="https://github.com/meta-pytorch/torchx",
         license="BSD-3",
         keywords=["pytorch", "machine learning"],
         python_requires=">=3.7",

torchx/cli/cmd_run.py

@@ -344,7 +344,7 @@ def _run_inner(self, runner: Runner, args: TorchXRunArgs) -> None:
                 "Invalid scheduler configuration: %s\n"
                 "To configure scheduler options, either:\n"
                 "  1. Use the `-cfg` command-line argument, e.g., `-cfg key1=value1,key2=value2`\n"
-                "  2. Set up a `.torchxconfig` file. For more details, visit: https://pytorch.org/torchx/main/runner.config.html\n"
+                "  2. Set up a `.torchxconfig` file. For more details, visit: https://meta-pytorch.org/torchx/main/runner.config.html\n"
                 "Run `torchx runopts %s` to check all available configuration options for the "
                 "`%s` scheduler."
             )

torchx/cli/cmd_tracker.py

@@ -45,7 +45,7 @@ def tracker(self) -> TrackerBase:
         else:
             raise RuntimeError(
                 "No trackers configured."
-                " See: https://pytorch.org/torchx/latest/runtime/tracking.html"
+                " See: https://meta-pytorch.org/torchx/latest/runtime/tracking.html"
             )
 
     def add_list_job_arguments(self, subparser: argparse.ArgumentParser) -> None:

torchx/components/__init__.py

@@ -181,7 +181,7 @@ def ddp(...) -> specs.AppDef:
 
 1. (easiest) Dryrun your component's ``--help`` with the cli: ``torchx run --dryrun ~/component.py:train --help``
 2. Use the component :ref:`linter<specs:Component Linter>`
-   (see `dist_test.py <https://github.com/pytorch/torchx/blob/main/torchx/components/test/dist_test.py>`_ as an example)
+   (see `dist_test.py <https://github.com/meta-pytorch/torchx/blob/main/torchx/components/test/dist_test.py>`_ as an example)
 
 
 Running as a Job

torchx/components/dist.py

@@ -186,7 +186,7 @@ def ddp(
 
     Note: (cpu, gpu, memMB) parameters are mutually exclusive with ``h`` (named resource) where
           ``h`` takes precedence if specified for setting resource requirements.
-          See `registering named resources <https://pytorch.org/torchx/latest/advanced.html#registering-named-resources>`_.
+          See `registering named resources <https://meta-pytorch.org/torchx/latest/advanced.html#registering-named-resources>`_.
 
     Args:
         script_args: arguments to the main module

torchx/components/utils.py

@@ -154,7 +154,7 @@ def python(
 
     Note: (cpu, gpu, memMB) parameters are mutually exclusive with ``h`` (named resource) where
           ``h`` takes precedence if specified for setting resource requirements.
-          See `registering named resources <https://pytorch.org/torchx/latest/advanced.html#registering-named-resources>`_.
+          See `registering named resources <https://meta-pytorch.org/torchx/latest/advanced.html#registering-named-resources>`_.
 
     Args:
         args: arguments passed to the program in sys.argv[1:] (ignored with `--c`)

torchx/distributed/__init__.py

@@ -48,7 +48,7 @@ def local_rank() -> int:
                 " but the `LOCAL_RANK` environment variable is not set. Will trivially return 0 for local_rank.\n"
                 " It is recommended to use torchrun/torchx to run your script or set the `LOCAL_RANK` manually.\n"
                 " For additional details see:\n"
-                "  1) https://pytorch.org/torchx/latest/components/distributed.html\n"
+                "  1) https://meta-pytorch.org/torchx/latest/components/distributed.html\n"
                 "  2) https://pytorch.org/docs/stable/elastic/run.html\n"
                 "=============================================================================================="
             )

torchx/examples/apps/README.rst

@@ -16,7 +16,7 @@ Before executing examples, install TorchX and dependencies necessary to run exam
 
 ```
 $ pip install torchx
-$ git clone https://github.com/pytorch/torchx.git
+$ git clone https://github.com/meta-pytorch/torchx.git
 $ cd torchx/examples/apps
 $ TORCHX_VERSION=$(torchx --version | sed 's/torchx-//')
 $ git checkout v$TORCHX_VERSION

torchx/schedulers/kubernetes_scheduler.py

@@ -485,7 +485,7 @@ class KubernetesScheduler(
     For installation instructions see: https://github.com/volcano-sh/volcano
 
     This has been confirmed to work with Volcano v1.3.0 and Kubernetes versions
-    v1.18-1.21. See https://github.com/pytorch/torchx/issues/120 which is
+    v1.18-1.21. See https://github.com/meta-pytorch/torchx/issues/120 which is
     tracking Volcano support for Kubernetes v1.22.
 
     .. note::

torchx/specs/__init__.py

@@ -129,7 +129,7 @@ def resource(
 
     If ``h`` is specified then it is used to look up the
     resource specs from the list of registered named resources.
-    See `registering named resource <https://pytorch.org/torchx/latest/advanced.html#registering-named-resources>`_.
+    See `registering named resource <https://meta-pytorch.org/torchx/latest/advanced.html#registering-named-resources>`_.
 
     Otherwise a ``Resource`` object is created from the raw resource specs.
 

torchx/specs/api.py

@@ -854,7 +854,7 @@ def cast_to_type(self, value: str) -> CfgVal:
 
         NOTE: dict parsing uses ":" as the kv separator (rather than the standard "=") because "=" is used
         at the top-level cfg to parse runopts (notice the plural) from the CLI. Originally torchx only supported
-        primitives and list[str] as CfgVal but dict[str,str] was added in https://github.com/pytorch/torchx/pull/855
+        primitives and list[str] as CfgVal but dict[str,str] was added in https://github.com/meta-pytorch/torchx/pull/855
         """
 
         if self.opt_type is None:

torchx/specs/file_linter.py

@@ -75,7 +75,7 @@ def get_fn_docstring(fn: Callable[..., object]) -> Tuple[str, Dict[str, str]]:
             if the description
     """
     default_fn_desc = f"""{fn.__name__} TIP: improve this help string by adding a docstring
-to your component (see: https://pytorch.org/torchx/latest/component_best_practices.html)"""
+to your component (see: https://meta-pytorch.org/torchx/latest/component_best_practices.html)"""
     args_description = _get_default_arguments_descriptions(fn)
     func_description = inspect.getdoc(fn)
     if not func_description:

torchx/specs/finder.py

@@ -452,7 +452,7 @@ def get_component(
         raise ComponentNotFoundException(
             f"Component `{name}` not found. Please make sure it is one of the "
             "builtins: `torchx builtins`. Or registered via `[torchx.components]` "
-            "entry point (see: https://pytorch.org/torchx/latest/configure.html)"
+            "entry point (see: https://meta-pytorch.org/torchx/latest/configure.html)"
         )
 
     component = components[name]

torchx/specs/named_resources_aws.py

@@ -16,7 +16,7 @@
 
 .. note::
     These resource definitions may change in future. It is expected for each user to
-    manage their own resources. Follow https://pytorch.org/torchx/latest/specs.html#torchx.specs.get_named_resources
+    manage their own resources. Follow https://meta-pytorch.org/torchx/latest/specs.html#torchx.specs.get_named_resources
     to set up named resources.
 
 Usage:
@@ -47,7 +47,7 @@
 MEM_TAX = 0.96
 
 # determines instance type for non-honogeneous CEs
-# see https://github.com/pytorch/torchx/issues/780
+# see https://github.com/meta-pytorch/torchx/issues/780
 K8S_ITYPE = "node.kubernetes.io/instance-type"
 GiB: int = int(1024 * MEM_TAX)
 

torchx/specs/test/file_linter_test.py

@@ -281,7 +281,7 @@ def test_validate_docstring_short(self) -> None:
     def test_validate_docstring_no_docs(self) -> None:
         func_desc, param_desc = get_fn_docstring(_test_without_docstring)
         expected_fn_desc = """_test_without_docstring TIP: improve this help string by adding a docstring
-to your component (see: https://pytorch.org/torchx/latest/component_best_practices.html)"""
+to your component (see: https://meta-pytorch.org/torchx/latest/component_best_practices.html)"""
         self.assertEqual(expected_fn_desc, func_desc)
         self.assertEqual(" ", param_desc["arg0"])