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https://github.com/wassname/ray.git
synced 2026-07-19 11:27:32 +08:00
Use 2xlarge instances in long running tests (#6802)
This commit is contained in:
@@ -13,7 +13,7 @@ auth:
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ssh_user: ubuntu
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head_node:
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InstanceType: m5.xlarge
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InstanceType: m5.2xlarge
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ImageId: ami-0888a3b5189309429 # DLAMI 7/1/19
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BlockDeviceMappings:
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- DeviceName: /dev/sda1
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@@ -10,8 +10,7 @@ commands:
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command: |
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# Install nightly Ray wheels.
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source activate tensorflow_p36 && pip install -U {{wheel}}
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source activate tensorflow_p36 && pip install ray[rllib] ray[debug] gym[atari]
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source activate tensorflow_p36 && pip install ray[debug]
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source activate tensorflow_p36 && pip install ray[dashboard,debug,rllib,tune] gym[atari]
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source activate tensorflow_p36 && python workloads/{{workload}}.py
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params:
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- name: wheel
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@@ -28,7 +28,8 @@ for i in range(num_nodes):
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num_gpus=0,
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resources={str(i): 2},
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object_store_memory=object_store_memory,
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redis_max_memory=redis_max_memory)
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redis_max_memory=redis_max_memory,
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webui_host="0.0.0.0")
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ray.init(address=cluster.address)
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# Run the workload.
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@@ -25,7 +25,8 @@ for i in range(num_nodes):
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num_gpus=0,
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resources={str(i): 2},
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object_store_memory=object_store_memory,
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redis_max_memory=redis_max_memory)
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redis_max_memory=redis_max_memory,
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webui_host="0.0.0.0")
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ray.init(address=cluster.address)
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# Run the workload.
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@@ -25,7 +25,8 @@ for i in range(num_nodes):
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num_gpus=0,
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resources={str(i): 2},
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object_store_memory=object_store_memory,
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redis_max_memory=redis_max_memory)
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redis_max_memory=redis_max_memory,
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webui_host="0.0.0.0")
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ray.init(address=cluster.address)
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# Run the workload.
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@@ -28,7 +28,8 @@ for i in range(num_nodes):
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num_gpus=0,
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resources={str(i): 2},
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object_store_memory=object_store_memory,
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redis_max_memory=redis_max_memory)
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redis_max_memory=redis_max_memory,
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webui_host="0.0.0.0")
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ray.init(address=cluster.address)
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# Run the workload.
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@@ -27,7 +27,8 @@ for i in range(num_nodes):
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num_gpus=0,
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resources={str(i): 5},
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object_store_memory=object_store_memory,
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redis_max_memory=redis_max_memory)
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redis_max_memory=redis_max_memory,
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webui_host="0.0.0.0")
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ray.init(address=cluster.address)
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# Run the workload.
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@@ -28,7 +28,8 @@ for i in range(num_nodes):
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num_gpus=0,
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resources={str(i): 2},
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object_store_memory=object_store_memory,
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redis_max_memory=redis_max_memory)
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redis_max_memory=redis_max_memory,
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webui_host="0.0.0.0")
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ray.init(address=cluster.address)
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# Run the workload.
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@@ -26,7 +26,8 @@ for i in range(num_nodes):
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num_gpus=0,
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resources={str(i): 2},
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object_store_memory=object_store_memory,
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redis_max_memory=redis_max_memory)
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redis_max_memory=redis_max_memory,
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webui_host="0.0.0.0")
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ray.init(address=cluster.address)
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# Run the workload.
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@@ -26,7 +26,8 @@ for i in range(num_nodes):
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num_gpus=0,
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resources={str(i): 2},
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object_store_memory=object_store_memory,
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redis_max_memory=redis_max_memory)
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redis_max_memory=redis_max_memory,
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webui_host="0.0.0.0")
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ray.init(address=cluster.address)
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# Run the workload.
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