Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Unanswered
Hi. I'D Like To Try The Gcp Autoscaler.


Trying to switch to a resources using gpu-enabled VMs failed with that same error above.
Looking at spawned VMs, they were spawned by the autoscaler without gpu even though I checked that my settings ( n1-standard-1 and nvidia-tesla-t4 and https://console.cloud.google.com/compute/imagesDetail/projects/ml-images/global/images/c0-deeplearning-common-cu113-v20220701-debian-10?project=ml-tooling-test-external image for the VM) can be used to make vm instances and my gcp autoscaler configuration seems proper:
[{"resource_name": "gpu_default3", "machine_type": "n1-standard-1", "cpu_only": false, "gpu_type": "nvidia-tesla-t4", "gpu_count": 1, "preemptible": false, "num_instances": 5, "queue_name": "default", "source_image": "projects/ml-images/global/images/c0-deeplearning-common-cu113-v20220701-debian-10", "disk_size_gb": 100}, {"resource_name": "gpu_services3", "machine_type": "n1-standard-1", "cpu_only": false, "gpu_type": "nvidia-tesla-t4", "gpu_count": 1, "preemptible": false, "num_instances": 1, "queue_name": "services", "source_image": "projects/ml-images/global/images/c0-deeplearning-common-cu113-v20220701-debian-10", "disk_size_gb": 100}]

  
  
Posted 2 years ago
167 Views
0 Answers
2 years ago
one year ago
Tags