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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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python/ray/__init__.py
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@@ -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__",
python/ray/autoscaler/aws/example-full.yaml
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@@ -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
python/ray/autoscaler/aws/example-gpu-docker.yaml
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@@ -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:
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
python/ray/autoscaler/azure/example-full.yaml
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@@ -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
python/ray/autoscaler/azure/example-gpu-docker.yaml
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@@ -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:
python/ray/autoscaler/azure/example-gpu.yaml
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@@ -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
python/ray/autoscaler/gcp/example-full.yaml
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@@ -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.
python/ray/autoscaler/gcp/example-gpu-docker.yaml
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@@ -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:
python/ray/nightly-wheels.yaml
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@@ -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
python/ray/util/sgd/tf/examples/tf-example-sgd.yaml
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@@ -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
python/ray/util/sgd/torch/examples/example-sgd.yaml
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@@ -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
python/ray/util/sgd/torch/examples/image_models/cluster.yaml
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@@ -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/
python/ray/util/sgd/torch/examples/segmentation/example.yaml
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@@ -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/
python/ray/util/sgd/torch/examples/sgd-development.yaml
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@@ -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/
python/ray/util/sgd/torch/examples/transformers/cluster.yaml
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@@ -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