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[yaml] HotFix for correct example full #11584

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Oct 23, 2020
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[yaml] HotFix for correct example full #11584

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[yaml] HotFix for correct example full
ijrsvt Oct 23, 2020
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ijrsvt Oct 23, 2020
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2 changes: 1 addition & 1 deletion python/ray/autoscaler/aws/example-full.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,7 @@ autoscaling_mode: default
# and opens all the necessary ports to support the Ray cluster.
# Empty string means disabled.
docker:
image: "rayproject/ray-gpu:latest" # You can change this to latest-cpu if you don't need GPU support and want a faster startup
image: "rayproject/ray:latest-gpu" # You can change this to latest-cpu if you don't need GPU support and want a faster startup
container_name: "ray_container"
# If true, pulls latest version of image. Otherwise, `docker run` will only pull the image
# if no cached version is present.
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2 changes: 1 addition & 1 deletion python/ray/autoscaler/azure/example-full.yaml
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Expand Up @@ -23,7 +23,7 @@ autoscaling_mode: default
# and opens all the necessary ports to support the Ray cluster.
# Empty string means disabled.
docker:
image: "rayproject/ray-gpu:latest" # You can change this to latest-cpu if you don't need GPU support and want a faster startup
image: "rayproject/ray:latest-gpu" # You can change this to latest-cpu if you don't need GPU support and want a faster startup
container_name: "ray_container"
# If true, pulls latest version of image. Otherwise, `docker run` will only pull the image
# if no cached version is present.
Expand Down
2 changes: 1 addition & 1 deletion python/ray/autoscaler/gcp/example-full.yaml
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Expand Up @@ -23,7 +23,7 @@ autoscaling_mode: default
# and opens all the necessary ports to support the Ray cluster.
# Empty string means disabled.
docker:
image: "rayproject/ray-gpu:latest" # You can change this to latest-cpu if you don't need GPU support and want a faster startup
image: "rayproject/ray:latest-gpu" # You can change this to latest-cpu if you don't need GPU support and want a faster startup
container_name: "ray_container"
# If true, pulls latest version of image. Otherwise, `docker run` will only pull the image
# if no cached version is present.
Expand Down
2 changes: 1 addition & 1 deletion python/ray/autoscaler/local/example-full.yaml
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Expand Up @@ -26,7 +26,7 @@ idle_timeout_minutes: 5
# and opens all the necessary ports to support the Ray cluster.
# Empty string means disabled. Assumes Docker is installed.
docker:
image: "rayproject/ray-gpu:latest" # You can change this to latest-cpu if you don't need GPU support and want a faster startup
image: "rayproject/ray:latest-gpu" # You can change this to latest-cpu if you don't need GPU support and want a faster startup
container_name: "ray_container"
# If true, pulls latest version of image. Otherwise, `docker run` will only pull the image
# if no cached version is present.
Expand Down