update appwapper generator

src/codeflare_sdk/cluster/config.py

@@ -1,10 +1,10 @@
-from dataclasses import dataclass
+from dataclasses import dataclass, field
 
 @dataclass
 class ClusterConfiguration:
     name: str
-    head_info: list = []
-    machine_types: list = [] #["m4.xlarge", "g4dn.xlarge"]
+    head_info: list = field(default_factory=list)
+    machine_types: list = field(default_factory=list) #["m4.xlarge", "g4dn.xlarge"]
     min_cpus: int = 1
     max_cpus: int = 1
     min_worker: int = 1
@@ -14,5 +14,6 @@ class ClusterConfiguration:
     gpu: int = 0
     template: str = "src/codeflare_sdk/templates/new-template.yaml"
     instascale: bool = False
-    envs: dict = {}
+    envs: dict = field(default_factory=dict)
     image: str = "ghcr.io/ibm-ai-foundation/base:ray1.13.0-py38-gpu-pytorch1.12.0cu116-20220826-202124"
+

src/codeflare_sdk/templates/new-template.yml → src/codeflare_sdk/templates/new-template.yaml

@@ -98,7 +98,7 @@ spec:
               # The value of `resources` is a string-integer mapping.
               # Currently, `resources` must be provided in the specific format demonstrated below:
               # resources: '"{\"Custom1\": 1, \"Custom2\": 5}"'
-              num-gpus: 0
+              num-gpus: '0'
             #pod template
             template:
               spec:

src/codeflare_sdk/utils/generate_yaml.py

@@ -108,7 +108,7 @@ def update_nodes(item, appwrapper_name, min_cpu, max_cpu, min_memory, max_memory
         worker["replicas"] = workers
         worker["minReplicas"] = workers
         worker["maxReplicas"] = workers
-        worker["rayStartParams"]["num-gpus"] = int(gpu)
+        worker["rayStartParams"]["num-gpus"] = str(int(gpu))
 
         for comp in [head, worker]:
             spec = comp.get("template").get("spec")