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[yaml] HotFix for correct example full (#11584)

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This commit is contained in:
Ian Rodney
2020-10-23 13:55:07 -07:00
committed by Alex Wu
parent 395ddb093c
commit 84fc622659
4 changed files with 4 additions and 4 deletions
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python/ray/autoscaler/aws/example-full.yaml
+1 -1
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@@ -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.
python/ray/autoscaler/azure/example-full.yaml
+1 -1
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@@ -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.
python/ray/autoscaler/gcp/example-full.yaml
+1 -1
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@@ -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.
python/ray/autoscaler/local/example-full.yaml
+1 -1
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@@ -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.