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set version number to 1.0.0rc2

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This commit is contained in:
Barak Michener 2020-09-23 00:13:53 +00:00
parent 9c308f033b
commit 4304aeabc0
26 changed files with 45 additions and 45 deletions
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2
build-docker.sh
View file

@ -7,7 +7,7 @@ set -x
GPU=""
BASE_IMAGE="ubuntu:focal"
WHEEL_URL="https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-manylinux1_x86_64.whl"
WHEEL_URL="https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp37-cp37m-manylinux1_x86_64.whl"
while [[ $# -gt 0 ]]
do

2
ci/long_running_tests/ray-project/project.yaml
View file

@ -15,7 +15,7 @@ commands:
params:
- name: wheel
help: "URL to the ray wheel to test (defaults to latest)."
default: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
default: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp36-cp36m-manylinux1_x86_64.whl
- name: workload
help: "Name of the workload to run."
choices:

2
ci/microbenchmark/ray-project/project.yaml
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@ -17,7 +17,7 @@ commands:
OMP_NUM_THREADS=64 ray microbenchmark
params:
- name: ray_version # Ray version string.
default: "0.9.0.dev0"
default: "1.0.0rc2"
- name: commit # Ray commit SHA string.
default: "FILL ME IN"

2
doc/dev/bin/ray-project/project.yaml
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@ -19,7 +19,7 @@ commands:
./pip_download_test.sh
params:
- name: ray_version # Ray version string.
default: "0.9.0.dev0"
default: "1.0.0rc2"
- name: commit # Ray commit SHA string.
default: "FILL ME IN"

2
doc/examples/newsreader/ray-project/cluster.yaml
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@ -24,7 +24,7 @@ setup_commands:
- echo 'export PATH="$HOME/anaconda3/bin:$PATH"' >> ~/.bashrc
- sudo apt -y update
- sudo apt -y install npm
- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp36-cp36m-manylinux1_x86_64.whl
# How Ray will authenticate with newly launched nodes.
auth:

2
doc/source/development.rst
View file

@ -23,7 +23,7 @@ RLlib, Tune, Autoscaler, and most Python files do not require you to build and c
.. code-block:: shell
pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp38-cp38-manylinux1_x86_64.whl
pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp38-cp38-manylinux1_x86_64.whl
2. Fork and clone the project to your machine. Connect your repository to the upstream (main project) ray repository.

20
doc/source/installation.rst
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@ -51,17 +51,17 @@ instead of the ones above:
`Linux Python 3.6`_ `MacOS Python 3.6`_ `Windows Python 3.6`_
=================== =================== ======================
.. _`Linux Python 3.8`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp38-cp38-manylinux1_x86_64.whl
.. _`Linux Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-manylinux1_x86_64.whl
.. _`Linux Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
.. _`Linux Python 3.8`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp38-cp38-manylinux1_x86_64.whl
.. _`Linux Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp37-cp37m-manylinux1_x86_64.whl
.. _`Linux Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp36-cp36m-manylinux1_x86_64.whl
.. _`MacOS Python 3.8`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp38-cp38-macosx_10_13_x86_64.whl
.. _`MacOS Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-macosx_10_13_intel.whl
.. _`MacOS Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-macosx_10_13_intel.whl
.. _`MacOS Python 3.8`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp38-cp38-macosx_10_13_x86_64.whl
.. _`MacOS Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp37-cp37m-macosx_10_13_intel.whl
.. _`MacOS Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp36-cp36m-macosx_10_13_intel.whl
.. _`Windows Python 3.8`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp38-cp38-win_amd64.whl
.. _`Windows Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-win_amd64.whl
.. _`Windows Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-win_amd64.whl
.. _`Windows Python 3.8`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp38-cp38-win_amd64.whl
.. _`Windows Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp37-cp37m-win_amd64.whl
.. _`Windows Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp36-cp36m-win_amd64.whl
Installing from a specific commit
@ -73,7 +73,7 @@ You can install the Ray wheels of any particular commit on ``master`` with the f
pip install https://ray-wheels.s3-us-west-2.amazonaws.com/master/{COMMIT_HASH}/ray-{RAY_VERSION}-{PYTHON_VERSION}-{PYTHON_VERSION}m-{OS_VERSION}_intel.whl
For example, here are the Ray 0.9.0.dev0 wheels for Python 3.5, MacOS for commit ``a0ba4499ac645c9d3e82e68f3a281e48ad57f873``:
For example, here are the Ray 1.0.0rc2 wheels for Python 3.5, MacOS for commit ``a0ba4499ac645c9d3e82e68f3a281e48ad57f873``:
.. code-block:: bash

2
python/ray/__init__.py
View file

@ -95,7 +95,7 @@ from ray import util # noqa: E402
# Replaced with the current commit when building the wheels.
__commit__ = "{{RAY_COMMIT_SHA}}"
__version__ = "0.9.0.dev0"
__version__ = "1.0.0rc2"
__all__ = [
"__version__",

2
python/ray/autoscaler/aws/example-full.yaml
View file

@ -129,7 +129,7 @@ setup_commands:
# has your Ray repo pre-cloned. Then, you can replace the pip installs
# below with a git checkout <your_sha> (and possibly a recompile).
- echo 'export PATH="$HOME/anaconda3/envs/tensorflow_p36/bin:$PATH"' >> ~/.bashrc
- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp36-cp36m-manylinux1_x86_64.whl
# Consider uncommenting these if you also want to run apt-get commands during setup
# - sudo pkill -9 apt-get || true
# - sudo pkill -9 dpkg || true

4
python/ray/autoscaler/aws/example-gpu-docker.yaml
View file

@ -106,8 +106,8 @@ file_mounts: {
# List of shell commands to run to set up nodes.
# NOTE: rayproject/ray:0.8.7 has ray 0.8.7 bundled
# setup_commands:
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-manylinux1_x86_64.whl
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp36-cp36m-manylinux1_x86_64.whl
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp37-cp37m-manylinux1_x86_64.whl
# Custom commands that will be run on the head node after common setup.
head_setup_commands:

2
python/ray/autoscaler/aws/example-java.yaml
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@ -63,7 +63,7 @@ initialization_commands:
setup_commands:
- sudo apt-get install -y python3 python3-pip
- python3 -m pip install --upgrade pip
- python3 -m pip install https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
- python3 -m pip install https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp36-cp36m-manylinux1_x86_64.whl
# Custom commands that will be run on the head node after common setup.
head_setup_commands:
- python3 -m pip install boto3==1.4.8 # 1.4.8 adds InstanceMarketOptions

2
python/ray/autoscaler/azure/example-full.yaml
View file

@ -126,7 +126,7 @@ setup_commands:
# below with a git checkout <your_sha> (and possibly a recompile).
# - echo 'conda activate py37_pytorch' >> ~/.bashrc
- echo 'conda activate py37_tensorflow' >> ~/.bashrc
- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-manylinux1_x86_64.whl
- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp37-cp37m-manylinux1_x86_64.whl
# Consider uncommenting these if you also want to run apt-get commands during setup
# - sudo pkill -9 apt-get || true
# - sudo pkill -9 dpkg || true

2
python/ray/autoscaler/azure/example-gpu-docker.yaml
View file

@ -81,7 +81,7 @@ file_mounts: {
# List of shell commands to run to set up nodes.
# NOTE: rayproject/ray:0.8.7 has ray 0.8.7 bundled
# setup_commands:
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-manylinux1_x86_64.whl
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp37-cp37m-manylinux1_x86_64.whl
# Custom commands that will be run on the head node after common setup.
head_setup_commands:

2
python/ray/autoscaler/azure/example-gpu.yaml
View file

@ -108,7 +108,7 @@ setup_commands:
# below with a git checkout <your_sha> (and possibly a recompile).
# - echo 'conda activate py37_pytorch' >> ~/.bashrc
- echo 'conda activate py37_tensorflow' >> ~/.bashrc
- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-manylinux1_x86_64.whl
- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp37-cp37m-manylinux1_x86_64.whl
# Consider uncommenting these if you also want to run apt-get commands during setup
# - sudo pkill -9 apt-get || true
# - sudo pkill -9 dpkg || true

2
python/ray/autoscaler/gcp/example-full.yaml
View file

@ -140,7 +140,7 @@ setup_commands:
&& echo 'export PATH="$HOME/anaconda3/bin:$PATH"' >> ~/.profile
# Install ray
- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-manylinux1_x86_64.whl
- pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp37-cp37m-manylinux1_x86_64.whl
# Custom commands that will be run on the head node after common setup.

4
python/ray/autoscaler/gcp/example-gpu-docker.yaml
View file

@ -135,8 +135,8 @@ initialization_commands:
# List of shell commands to run to set up nodes.
# NOTE: rayproject/ray:0.8.7 has ray 0.8.7 bundled
# setup_commands:
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-manylinux1_x86_64.whl
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp36-cp36m-manylinux1_x86_64.whl
# - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp37-cp37m-manylinux1_x86_64.whl
# Custom commands that will be run on the head node after common setup.
head_setup_commands:

18
python/ray/nightly-wheels.yaml
View file

@ -1,14 +1,14 @@
linux:
"3.8": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp38-cp38-manylinux1_x86_64.whl
"3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-manylinux1_x86_64.whl
"3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
"3.8": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp38-cp38-manylinux1_x86_64.whl
"3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp37-cp37m-manylinux1_x86_64.whl
"3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp36-cp36m-manylinux1_x86_64.whl
darwin:
"3.8": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp38-cp38-macosx_10_13_x86_64.whl
"3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-macosx_10_13_intel.whl
"3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-macosx_10_13_intel.whl
"3.8": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp38-cp38-macosx_10_13_x86_64.whl
"3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp37-cp37m-macosx_10_13_intel.whl
"3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp36-cp36m-macosx_10_13_intel.whl
win32:
"3.8": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp38-cp38-win_amd64.whl
"3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp37-cp37m-win_amd64.whl
"3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-win_amd64.whl
"3.8": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp38-cp38-win_amd64.whl
"3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp37-cp37m-win_amd64.whl
"3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp36-cp36m-win_amd64.whl

2
python/ray/util/sgd/tf/examples/tf-example-sgd.yaml
View file

@ -48,7 +48,7 @@ worker_nodes:
setup_commands:
- conda install setuptools=45.1.0=py36_0 wrapt=1.11.2 --yes # workaround to fix wrapt error
- ray &> /dev/null || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
- ray &> /dev/null || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp36-cp36m-manylinux1_x86_64.whl
- pip install -U ray[tune]
- pip install tensorflow-gpu==2.1.0

2
python/ray/util/sgd/torch/examples/example-sgd.yaml
View file

@ -43,7 +43,7 @@ worker_nodes:
# MaxPrice: "9.0"
setup_commands:
- ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
- ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp36-cp36m-manylinux1_x86_64.whl
- pip install -U ipdb ray[rllib] torch torchvision
# Install apex.
# - rm -rf apex || true

2
python/ray/util/sgd/torch/examples/image_models/cluster.yaml
View file

@ -62,7 +62,7 @@ worker_nodes:
setup_commands:
# This replaces the standard anaconda Ray installation
- ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
- ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp36-cp36m-manylinux1_x86_64.whl
# Uncomment this and the filemount to update the Ray installation with your local Ray code
# - rm -rf ./anaconda3/lib/python3.6/site-packages/ray/util/sgd/
# - cp -rf ~/sgd ./anaconda3/lib/python3.6/site-packages/ray/util/

2
python/ray/util/sgd/torch/examples/segmentation/example.yaml
View file

@ -42,7 +42,7 @@ worker_nodes:
setup_commands:
# This replaces the standard anaconda Ray installation
- ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
- ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp36-cp36m-manylinux1_x86_64.whl
# Uncomment this and the filemount to update the Ray installation with your local Ray code
# - rm -rf ./anaconda3/lib/python3.6/site-packages/ray/util/sgd/
# - cp -rf ~/sgd ./anaconda3/lib/python3.6/site-packages/ray/util/

2
python/ray/util/sgd/torch/examples/sgd-development.yaml
View file

@ -62,7 +62,7 @@ worker_nodes:
setup_commands:
# This replaces the standard anaconda Ray installation
- ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
- ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp36-cp36m-manylinux1_x86_64.whl
# Uncomment this and the filemount to update the Ray installation with your local Ray code
# - rm -rf ./anaconda3/lib/python3.6/site-packages/ray/util/sgd/
# - cp -rf ~/sgd ./anaconda3/lib/python3.6/site-packages/ray/util/

2
python/ray/util/sgd/torch/examples/transformers/cluster.yaml
View file

@ -47,7 +47,7 @@ worker_nodes:
setup_commands:
# This replaces the standard anaconda Ray installation
- ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl
- ray || pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc2-cp36-cp36m-manylinux1_x86_64.whl
- pip install -q tqdm
# Installing this without -U to make sure we don't replace the existing Ray installation

2
src/ray/core_worker/core_worker.cc
View file

@ -136,7 +136,7 @@ CoreWorkerProcess::CoreWorkerProcess(const CoreWorkerOptions &options)
RAY_LOG(DEBUG) << "Stats setup in core worker.";
// Initialize stats in core worker global tags.
const ray::stats::TagsType global_tags = {{ray::stats::ComponentKey, "core_worker"},
{ray::stats::VersionKey, "0.9.0.dev0"}};
{ray::stats::VersionKey, "1.0.0rc2"}};
// NOTE(lingxuan.zlx): We assume RayConfig is initialized before it's used.
// RayConfig is generated in Java_io_ray_runtime_RayNativeRuntime_nativeInitialize

2
src/ray/gcs/gcs_server/gcs_server_main.cc
View file

@ -58,7 +58,7 @@ int main(int argc, char *argv[]) {
RayConfig::instance().initialize(config_map);
const ray::stats::TagsType global_tags = {{ray::stats::ComponentKey, "gcs_server"},
{ray::stats::VersionKey, "0.9.0.dev0"}};
{ray::stats::VersionKey, "1.0.0rc2"}};
ray::stats::Init(global_tags, metrics_agent_port);
// IO Service for main loop.

2
src/ray/raylet/main.cc
View file

@ -243,7 +243,7 @@ int main(int argc, char *argv[]) {
// Initialize stats.
const ray::stats::TagsType global_tags = {
{ray::stats::ComponentKey, "raylet"},
{ray::stats::VersionKey, "0.9.0.dev0"},
{ray::stats::VersionKey, "1.0.0rc2"},
{ray::stats::NodeAddressKey, node_ip_address}};
ray::stats::Init(global_tags, metrics_agent_port);