Merge branch 'master' into add-default-gradient-logging

README.rst

@@ -12,6 +12,9 @@
 .. image:: https://img.shields.io/twitter/follow/raydistributed.svg?style=social&logo=twitter
     :target: https://twitter.com/raydistributed
 
+.. image:: https://img.shields.io/badge/Get_started_for_free-3C8AE9?logo=data%3Aimage%2Fpng%3Bbase64%2CiVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8%2F9hAAAAAXNSR0IArs4c6QAAAERlWElmTU0AKgAAAAgAAYdpAAQAAAABAAAAGgAAAAAAA6ABAAMAAAABAAEAAKACAAQAAAABAAAAEKADAAQAAAABAAAAEAAAAAA0VXHyAAABKElEQVQ4Ea2TvWoCQRRGnWCVWChIIlikC9hpJdikSbGgaONbpAoY8gKBdAGfwkfwKQypLQ1sEGyMYhN1Pd%2B6A8PqwBZeOHt%2FvsvMnd3ZXBRFPQjBZ9K6OY8ZxF%2B0IYw9PW3qz8aY6lk92bZ%2BVqSI3oC9T7%2FyCVnrF1ngj93us%2B540sf5BrCDfw9b6jJ5lx%2FyjtGKBBXc3cnqx0INN4ImbI%2Bl%2BPnI8zWfFEr4chLLrWHCp9OO9j19Kbc91HX0zzzBO8EbLK2Iv4ZvNO3is3h6jb%2BCwO0iL8AaWqB7ILPTxq3kDypqvBuYuwswqo6wgYJbT8XxBPZ8KS1TepkFdC79TAHHce%2F7LbVioi3wEfTpmeKtPRGEeoldSP%2FOeoEftpP4BRbgXrYZefsAI%2BP9JU7ImyEAAAAASUVORK5CYII%3D
+   :target: https://console.anyscale.com/register/ha?utm_source=github&utm_medium=ray_readme&utm_campaign=get_started_badge
+
 Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI libraries for simplifying ML compute:
 
 .. image:: https://github.com/ray-project/ray/raw/master/doc/source/images/what-is-ray-padded.svg

ci/ray_ci/doc/build_cache.py

@@ -27,7 +27,7 @@ def __init__(self, cache_dir: str):
         """
         self._cache_dir = cache_dir
 
-    def upload(self) -> None:
+    def upload(self, dry_run: bool) -> None:
         """
         Upload the build artifacts to S3
         """
@@ -40,6 +40,10 @@ def upload(self) -> None:
         logger.info("Creating a tarball of the cache files.")
         doc_tarball = self._zip_cache(cache_files)
 
+        if dry_run:
+            logger.info(f"Skipping upload of {doc_tarball} to S3.")
+            return
+
         logger.info("Upload the tarball to S3.")
         self._upload_cache(doc_tarball)
 

ci/ray_ci/doc/cmd_build.py

@@ -28,23 +28,24 @@ def main(ray_checkout_dir: str) -> None:
     logger.info("Building ray doc.")
     _build(ray_checkout_dir)
 
+    dry_run = False
     if (
         os.environ.get("BUILDKITE_PIPELINE_ID")
         not in get_global_config()["ci_pipeline_postmerge"]
     ):
+        dry_run = True
         logger.info(
             "Not uploading build artifacts because this is not a postmerge pipeline."
         )
-        return
 
     if os.environ.get("BUILDKITE_BRANCH") != "master":
+        dry_run = True
         logger.info(
             "Not uploading build artifacts because this is not the master branch."
         )
-        return
 
     logger.info("Uploading build artifacts to S3.")
-    BuildCache(os.path.join(ray_checkout_dir, "doc")).upload()
+    BuildCache(os.path.join(ray_checkout_dir, "doc")).upload(dry_run=dry_run)
 
     return
 

doc/requirements-doc.txt

@@ -37,5 +37,5 @@ urllib3 < 1.27
 # External dependencies such as ML libraries should be mocked out, not added here.
 # See doc/source/conf.py for examples of how to mock out external dependencies.
 click==8.1.7
-boto3==1.35.2
+boto3==1.34.69
 requests==2.32.3

doc/source/data/examples/pytorch_resnet_batch_prediction.ipynb

@@ -9,7 +9,7 @@
    "source": [
     "# Image Classification Batch Inference with PyTorch\n",
     "\n",
-    "[![try-anyscale-quickstart-image-classification-batch-inference-with-pytorch](../../_static/img/run-quickstart-anyscale.svg)](https://console.anyscale.com/v2/template-preview/ray-data-batch-image-classification?utm_source=ray_docs&utm_medium=docs&utm_campaign=image-classification-batch-inference-with-pytorch)\n",
+    "[![try-anyscale-quickstart-image-classification-batch-inference-with-pytorch](../../_static/img/run-quickstart-anyscale.svg)](https://console.anyscale.com/register/ha?utm_source=ray_docs&utm_medium=docs&utm_campaign=image-classification-batch-inference-with-pytorch&redirectTo=/v2/template-preview/ray-data-batch-image-classification)\n",
     "\n",
     "In this example, we will introduce how to use [Ray Data](data) for **large-scale batch inference with multiple GPU workers.**\n",
     "\n",

doc/source/ray-overview/getting-started.md

@@ -321,6 +321,8 @@ Learn more about Ray RLlib
 
 ## Ray Core Quickstart
 
+[![try-anyscale-quickstart-ray-quickstart](../_static/img/run-quickstart-anyscale.svg)](https://console.anyscale.com/register/ha?utm_source=ray_docs&utm_medium=docs&utm_campaign=ray-core-quickstart&redirectTo=/v2/template-preview/workspace-intro)
+
 Turn functions and classes easily into Ray tasks and actors,
 for Python and Java, with simple primitives for building and running distributed applications.