diff --git a/build-docker.sh b/build-docker.sh index cffc25fbc..ae008dcfe 100755 --- a/build-docker.sh +++ b/build-docker.sh @@ -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-1.0.0rc0-cp37-cp37m-manylinux1_x86_64.whl" while [[ $# -gt 0 ]] do diff --git a/ci/long_running_tests/ray-project/project.yaml b/ci/long_running_tests/ray-project/project.yaml index 160e61a19..0bd3b13f8 100644 --- a/ci/long_running_tests/ray-project/project.yaml +++ b/ci/long_running_tests/ray-project/project.yaml @@ -15,7 +15,7 @@ commands: params: - name: wheel help: "URL to the ray wheel to test (defaults to latest)." - default: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-0.9.0.dev0-cp36-cp36m-manylinux1_x86_64.whl + default: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc0-cp36-cp36m-manylinux1_x86_64.whl - name: workload help: "Name of the workload to run." choices: diff --git a/ci/microbenchmark/ray-project/project.yaml b/ci/microbenchmark/ray-project/project.yaml index a76e3e3b9..d9be74b45 100644 --- a/ci/microbenchmark/ray-project/project.yaml +++ b/ci/microbenchmark/ray-project/project.yaml @@ -17,7 +17,7 @@ commands: OMP_NUM_THREADS=64 ray microbenchmark params: - name: ray_version # Ray version string. - default: "0.9.0.dev0" + default: "1.0.0rc0" - name: commit # Ray commit SHA string. default: "FILL ME IN" diff --git a/doc/dev/bin/ray-project/project.yaml b/doc/dev/bin/ray-project/project.yaml index 290018c95..82350f7be 100644 --- a/doc/dev/bin/ray-project/project.yaml +++ b/doc/dev/bin/ray-project/project.yaml @@ -19,7 +19,7 @@ commands: ./pip_download_test.sh params: - name: ray_version # Ray version string. - default: "0.9.0.dev0" + default: "1.0.0rc0" - name: commit # Ray commit SHA string. default: "FILL ME IN" diff --git a/doc/examples/newsreader/ray-project/cluster.yaml b/doc/examples/newsreader/ray-project/cluster.yaml index b7395951b..39a95bdf9 100644 --- a/doc/examples/newsreader/ray-project/cluster.yaml +++ b/doc/examples/newsreader/ray-project/cluster.yaml @@ -24,7 +24,7 @@ setup_commands: - echo 'export PATH="$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-1.0.0rc0-cp36-cp36m-manylinux1_x86_64.whl # How Ray will authenticate with newly launched nodes. auth: diff --git a/doc/source/development.rst b/doc/source/development.rst index 85b050b03..58376c327 100644 --- a/doc/source/development.rst +++ b/doc/source/development.rst @@ -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-1.0.0rc0-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. diff --git a/doc/source/installation.rst b/doc/source/installation.rst index 59e656e79..b50d0e9bc 100644 --- a/doc/source/installation.rst +++ b/doc/source/installation.rst @@ -49,17 +49,17 @@ 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-1.0.0rc0-cp38-cp38-manylinux1_x86_64.whl +.. _`Linux Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc0-cp37-cp37m-manylinux1_x86_64.whl +.. _`Linux Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc0-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-1.0.0rc0-cp38-cp38-macosx_10_13_x86_64.whl +.. _`MacOS Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc0-cp37-cp37m-macosx_10_13_intel.whl +.. _`MacOS Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc0-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-1.0.0rc0-cp38-cp38-win_amd64.whl +.. _`Windows Python 3.7`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc0-cp37-cp37m-win_amd64.whl +.. _`Windows Python 3.6`: https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc0-cp36-cp36m-win_amd64.whl Installing from a specific commit @@ -71,11 +71,11 @@ 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 1.0.0rc0 wheels for Python 3.5, MacOS for commit ``a0ba4499ac645c9d3e82e68f3a281e48ad57f873``: .. code-block:: bash - pip install https://ray-wheels.s3-us-west-2.amazonaws.com/master/a0ba4499ac645c9d3e82e68f3a281e48ad57f873/ray-0.9.0.dev0-cp35-cp35m-macosx_10_13_intel.whl + pip install https://ray-wheels.s3-us-west-2.amazonaws.com/master/a0ba4499ac645c9d3e82e68f3a281e48ad57f873/ray-1.0.0rc0-cp35-cp35m-macosx_10_13_intel.whl .. _windows-support: diff --git a/python/ray/__init__.py b/python/ray/__init__.py index 251a74536..3674a4654 100644 --- a/python/ray/__init__.py +++ b/python/ray/__init__.py @@ -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__ = "1.0.0rc0" __all__ = [ "__version__", diff --git a/python/ray/autoscaler/aws/example-full.yaml b/python/ray/autoscaler/aws/example-full.yaml index 89f815acb..237e0129e 100644 --- a/python/ray/autoscaler/aws/example-full.yaml +++ b/python/ray/autoscaler/aws/example-full.yaml @@ -129,7 +129,7 @@ setup_commands: # has your Ray repo pre-cloned. Then, you can replace the pip installs # below with a git checkout (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-1.0.0rc0-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 diff --git a/python/ray/autoscaler/aws/example-gpu-docker.yaml b/python/ray/autoscaler/aws/example-gpu-docker.yaml index 07653e1ef..846eb2bf6 100644 --- a/python/ray/autoscaler/aws/example-gpu-docker.yaml +++ b/python/ray/autoscaler/aws/example-gpu-docker.yaml @@ -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-1.0.0rc0-cp36-cp36m-manylinux1_x86_64.whl + # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc0-cp37-cp37m-manylinux1_x86_64.whl # Custom commands that will be run on the head node after common setup. head_setup_commands: diff --git a/python/ray/autoscaler/azure/example-full.yaml b/python/ray/autoscaler/azure/example-full.yaml index c42e4b476..2b299159e 100644 --- a/python/ray/autoscaler/azure/example-full.yaml +++ b/python/ray/autoscaler/azure/example-full.yaml @@ -126,7 +126,7 @@ setup_commands: # below with a git checkout (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-1.0.0rc0-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 diff --git a/python/ray/autoscaler/azure/example-gpu-docker.yaml b/python/ray/autoscaler/azure/example-gpu-docker.yaml index 6ed526b21..5b42f6b7d 100644 --- a/python/ray/autoscaler/azure/example-gpu-docker.yaml +++ b/python/ray/autoscaler/azure/example-gpu-docker.yaml @@ -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-1.0.0rc0-cp37-cp37m-manylinux1_x86_64.whl # Custom commands that will be run on the head node after common setup. head_setup_commands: diff --git a/python/ray/autoscaler/azure/example-gpu.yaml b/python/ray/autoscaler/azure/example-gpu.yaml index 2a9d3016f..57eef8b77 100644 --- a/python/ray/autoscaler/azure/example-gpu.yaml +++ b/python/ray/autoscaler/azure/example-gpu.yaml @@ -108,7 +108,7 @@ setup_commands: # below with a git checkout (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-1.0.0rc0-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 diff --git a/python/ray/autoscaler/gcp/example-full.yaml b/python/ray/autoscaler/gcp/example-full.yaml index 76c1454d1..7df426e06 100644 --- a/python/ray/autoscaler/gcp/example-full.yaml +++ b/python/ray/autoscaler/gcp/example-full.yaml @@ -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-1.0.0rc0-cp37-cp37m-manylinux1_x86_64.whl # Custom commands that will be run on the head node after common setup. diff --git a/python/ray/autoscaler/gcp/example-gpu-docker.yaml b/python/ray/autoscaler/gcp/example-gpu-docker.yaml index 27227470f..cf85d0cd7 100644 --- a/python/ray/autoscaler/gcp/example-gpu-docker.yaml +++ b/python/ray/autoscaler/gcp/example-gpu-docker.yaml @@ -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-1.0.0rc0-cp36-cp36m-manylinux1_x86_64.whl + # - pip install -U https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc0-cp37-cp37m-manylinux1_x86_64.whl # Custom commands that will be run on the head node after common setup. head_setup_commands: diff --git a/python/ray/nightly-wheels.yaml b/python/ray/nightly-wheels.yaml index 3bc9d1a06..a807331e4 100644 --- a/python/ray/nightly-wheels.yaml +++ b/python/ray/nightly-wheels.yaml @@ -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-1.0.0rc0-cp38-cp38-manylinux1_x86_64.whl + "3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc0-cp37-cp37m-manylinux1_x86_64.whl + "3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc0-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-1.0.0rc0-cp38-cp38-macosx_10_13_x86_64.whl + "3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc0-cp37-cp37m-macosx_10_13_intel.whl + "3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc0-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-1.0.0rc0-cp38-cp38-win_amd64.whl + "3.7": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc0-cp37-cp37m-win_amd64.whl + "3.6": https://s3-us-west-2.amazonaws.com/ray-wheels/latest/ray-1.0.0rc0-cp36-cp36m-win_amd64.whl diff --git a/python/ray/util/sgd/tf/examples/tf-example-sgd.yaml b/python/ray/util/sgd/tf/examples/tf-example-sgd.yaml index 8692d4490..0d07b7cfb 100644 --- a/python/ray/util/sgd/tf/examples/tf-example-sgd.yaml +++ b/python/ray/util/sgd/tf/examples/tf-example-sgd.yaml @@ -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-1.0.0rc0-cp36-cp36m-manylinux1_x86_64.whl - pip install -U ray[tune] - pip install tensorflow-gpu==2.1.0 diff --git a/python/ray/util/sgd/torch/examples/example-sgd.yaml b/python/ray/util/sgd/torch/examples/example-sgd.yaml index c72c16d1b..b72c5fae9 100644 --- a/python/ray/util/sgd/torch/examples/example-sgd.yaml +++ b/python/ray/util/sgd/torch/examples/example-sgd.yaml @@ -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-1.0.0rc0-cp36-cp36m-manylinux1_x86_64.whl - pip install -U ipdb ray[rllib] torch torchvision # Install apex. # - rm -rf apex || true diff --git a/python/ray/util/sgd/torch/examples/image_models/cluster.yaml b/python/ray/util/sgd/torch/examples/image_models/cluster.yaml index c1b636a76..702a2d9e6 100644 --- a/python/ray/util/sgd/torch/examples/image_models/cluster.yaml +++ b/python/ray/util/sgd/torch/examples/image_models/cluster.yaml @@ -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-1.0.0rc0-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/ diff --git a/python/ray/util/sgd/torch/examples/segmentation/example.yaml b/python/ray/util/sgd/torch/examples/segmentation/example.yaml index 0f206bc58..c7bf7492c 100644 --- a/python/ray/util/sgd/torch/examples/segmentation/example.yaml +++ b/python/ray/util/sgd/torch/examples/segmentation/example.yaml @@ -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-1.0.0rc0-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/ diff --git a/python/ray/util/sgd/torch/examples/sgd-development.yaml b/python/ray/util/sgd/torch/examples/sgd-development.yaml index f4ff2ab8d..6618ed626 100644 --- a/python/ray/util/sgd/torch/examples/sgd-development.yaml +++ b/python/ray/util/sgd/torch/examples/sgd-development.yaml @@ -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-1.0.0rc0-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/ diff --git a/python/ray/util/sgd/torch/examples/transformers/cluster.yaml b/python/ray/util/sgd/torch/examples/transformers/cluster.yaml index 59b3877cf..d8951a050 100644 --- a/python/ray/util/sgd/torch/examples/transformers/cluster.yaml +++ b/python/ray/util/sgd/torch/examples/transformers/cluster.yaml @@ -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-1.0.0rc0-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 diff --git a/src/ray/core_worker/core_worker.cc b/src/ray/core_worker/core_worker.cc index 9315e07ea..c53cb9885 100644 --- a/src/ray/core_worker/core_worker.cc +++ b/src/ray/core_worker/core_worker.cc @@ -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, "1.0.0rc0"}}; // NOTE(lingxuan.zlx): We assume RayConfig is initialized before it's used. // RayConfig is generated in Java_io_ray_runtime_RayNativeRuntime_nativeInitialize diff --git a/src/ray/gcs/gcs_server/gcs_server_main.cc b/src/ray/gcs/gcs_server/gcs_server_main.cc index e4ee94fad..291ad8d06 100644 --- a/src/ray/gcs/gcs_server/gcs_server_main.cc +++ b/src/ray/gcs/gcs_server/gcs_server_main.cc @@ -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, "1.0.0rc0"}}; ray::stats::Init(global_tags, metrics_agent_port); // IO Service for main loop. diff --git a/src/ray/raylet/main.cc b/src/ray/raylet/main.cc index f03a009fc..675672297 100644 --- a/src/ray/raylet/main.cc +++ b/src/ray/raylet/main.cc @@ -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, "1.0.0rc0"}, {ray::stats::NodeAddressKey, node_ip_address}}; ray::stats::Init(global_tags, metrics_agent_port);