Update SDK args

src/codeflare_sdk/cluster/cluster.py

@@ -137,12 +137,12 @@ def create_app_wrapper(self):
         namespace = self.config.namespace
         head_cpus = self.config.head_cpus
         head_memory = self.config.head_memory
-        head_gpus = self.config.head_gpus
-        min_cpu = self.config.min_cpus
-        max_cpu = self.config.max_cpus
-        min_memory = self.config.min_memory
-        max_memory = self.config.max_memory
-        gpu = self.config.num_gpus
+        num_head_gpus = self.config.num_head_gpus
+        worker_cpu_requests = self.config.worker_cpu_requests
+        worker_cpu_limits = self.config.worker_cpu_limits
+        worker_memory_requests = self.config.worker_memory_requests
+        worker_memory_limits = self.config.worker_memory_limits
+        num_worker_gpus = self.config.num_worker_gpus
         workers = self.config.num_workers
         template = self.config.template
         image = self.config.image
@@ -157,12 +157,12 @@ def create_app_wrapper(self):
             namespace=namespace,
             head_cpus=head_cpus,
             head_memory=head_memory,
-            head_gpus=head_gpus,
-            min_cpu=min_cpu,
-            max_cpu=max_cpu,
-            min_memory=min_memory,
-            max_memory=max_memory,
-            gpu=gpu,
+            num_head_gpus=num_head_gpus,
+            worker_cpu_requests=worker_cpu_requests,
+            worker_cpu_limits=worker_cpu_limits,
+            worker_memory_requests=worker_memory_requests,
+            worker_memory_limits=worker_memory_limits,
+            num_worker_gpus=num_worker_gpus,
             workers=workers,
             template=template,
             image=image,
@@ -318,7 +318,7 @@ def status(
 
             if print_to_console:
                 # overriding the number of gpus with requested
-                cluster.worker_gpu = self.config.num_gpus
+                cluster.worker_gpu = self.config.num_worker_gpus
                 pretty_print.print_cluster_status(cluster)
         elif print_to_console:
             if status == CodeFlareClusterStatus.UNKNOWN:
@@ -474,19 +474,19 @@ def from_k8_cluster_object(
             namespace=rc["metadata"]["namespace"],
             machine_types=machine_types,
             num_workers=rc["spec"]["workerGroupSpecs"][0]["minReplicas"],
-            min_cpus=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
+            worker_cpu_requests=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
                 "containers"
             ][0]["resources"]["requests"]["cpu"],
-            max_cpus=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
+            worker_cpu_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
                 "containers"
             ][0]["resources"]["limits"]["cpu"],
-            min_memory=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
-                "containers"
-            ][0]["resources"]["requests"]["memory"],
-            max_memory=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
+            worker_memory_requests=rc["spec"]["workerGroupSpecs"][0]["template"][
+                "spec"
+            ]["containers"][0]["resources"]["requests"]["memory"],
+            worker_memory_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
                 "containers"
             ][0]["resources"]["limits"]["memory"],
-            num_gpus=int(
+            num_worker_gpus=int(
                 rc["spec"]["workerGroupSpecs"][0]["template"]["spec"]["containers"][0][
                     "resources"
                 ]["limits"]["nvidia.com/gpu"]
@@ -917,15 +917,15 @@ def _copy_to_ray(cluster: Cluster) -> RayCluster:
         name=cluster.config.name,
         status=cluster.status(print_to_console=False)[0],
         workers=cluster.config.num_workers,
-        worker_mem_min=cluster.config.min_memory,
-        worker_mem_max=cluster.config.max_memory,
-        worker_cpu=cluster.config.min_cpus,
-        worker_gpu=cluster.config.num_gpus,
+        worker_mem_min=cluster.config.worker_memory_requests,
+        worker_mem_max=cluster.config.worker_memory_limits,
+        worker_cpu=cluster.config.worker_cpu_requests,
+        worker_gpu=cluster.config.num_worker_gpus,
         namespace=cluster.config.namespace,
         dashboard=cluster.cluster_dashboard_uri(),
         head_cpus=cluster.config.head_cpus,
         head_mem=cluster.config.head_memory,
-        head_gpu=cluster.config.head_gpus,
+        head_gpu=cluster.config.num_head_gpus,
     )
     if ray.status == CodeFlareClusterStatus.READY:
         ray.status = RayClusterStatus.READY

src/codeflare_sdk/cluster/config.py

@@ -21,6 +21,7 @@
 from dataclasses import dataclass, field
 import pathlib
 import typing
+import warnings
 
 dir = pathlib.Path(__file__).parent.parent.resolve()
 
@@ -37,14 +38,20 @@ class ClusterConfiguration:
     head_info: list = field(default_factory=list)
     head_cpus: typing.Union[int, str] = 2
     head_memory: typing.Union[int, str] = 8
-    head_gpus: int = 0
+    head_gpus: int = None  # Deprecating
+    num_head_gpus: int = 0
     machine_types: list = field(default_factory=list)  # ["m4.xlarge", "g4dn.xlarge"]
-    min_cpus: typing.Union[int, str] = 1
-    max_cpus: typing.Union[int, str] = 1
+    worker_cpu_requests: typing.Union[int, str] = 1
+    worker_cpu_limits: typing.Union[int, str] = 1
+    min_cpus: typing.Union[int, str] = None  # Deprecating
+    max_cpus: typing.Union[int, str] = None  # Deprecating
     num_workers: int = 1
-    min_memory: typing.Union[int, str] = 2
-    max_memory: typing.Union[int, str] = 2
-    num_gpus: int = 0
+    worker_memory_requests: typing.Union[int, str] = 2
+    worker_memory_limits: typing.Union[int, str] = 2
+    min_memory: typing.Union[int, str] = None  # Deprecating
+    max_memory: typing.Union[int, str] = None  # Deprecating
+    num_worker_gpus: int = 0
+    num_gpus: int = None  # Deprecating
     template: str = f"{dir}/templates/base-template.yaml"
     appwrapper: bool = False
     envs: dict = field(default_factory=dict)
@@ -59,23 +66,57 @@ def __post_init__(self):
             print(
                 "Warning: TLS verification has been disabled - Endpoint checks will be bypassed"
             )
+
         self._memory_to_string()
         self._str_mem_no_unit_add_GB()
+        self._memory_to_resource()
+        self._gpu_to_resource()
+        self._cpu_to_resource()
 
     def _str_mem_no_unit_add_GB(self):
         if isinstance(self.head_memory, str) and self.head_memory.isdecimal():
             self.head_memory = f"{self.head_memory}G"
-        if isinstance(self.min_memory, str) and self.min_memory.isdecimal():
-            self.min_memory = f"{self.min_memory}G"
-        if isinstance(self.max_memory, str) and self.max_memory.isdecimal():
-            self.max_memory = f"{self.max_memory}G"
+        if (
+            isinstance(self.worker_memory_requests, str)
+            and self.worker_memory_requests.isdecimal()
+        ):
+            self.worker_memory_requests = f"{self.worker_memory_requests}G"
+        if (
+            isinstance(self.worker_memory_limits, str)
+            and self.worker_memory_limits.isdecimal()
+        ):
+            self.worker_memory_limits = f"{self.worker_memory_limits}G"
 
     def _memory_to_string(self):
         if isinstance(self.head_memory, int):
             self.head_memory = f"{self.head_memory}G"
-        if isinstance(self.min_memory, int):
-            self.min_memory = f"{self.min_memory}G"
-        if isinstance(self.max_memory, int):
-            self.max_memory = f"{self.max_memory}G"
+        if isinstance(self.worker_memory_requests, int):
+            self.worker_memory_requests = f"{self.worker_memory_requests}G"
+        if isinstance(self.worker_memory_limits, int):
+            self.worker_memory_limits = f"{self.worker_memory_limits}G"
+
+    def _gpu_to_resource(self):
+        if self.head_gpus:
+            warnings.warn("head_gpus is being deprecated, use num_head_gpus")
+            self.num_head_gpus = self.head_gpus
+        if self.num_gpus:
+            warnings.warn("num_gpus is being deprecated, use num_worker_gpus")
+            self.num_worker_gpus = self.num_gpus
+
+    def _cpu_to_resource(self):
+        if self.min_cpus:
+            warnings.warn("min_cpus is being deprecated, use worker_cpu_requests")
+            self.worker_cpu_requests = self.min_cpus
+        if self.max_cpus:
+            warnings.warn("max_cpus is being deprecated, use worker_cpu_limits")
+            self.worker_cpu_limits = self.max_cpus
+
+    def _memory_to_resource(self):
+        if self.min_memory:
+            warnings.warn("min_memory is being deprecated, use worker_memory_requests")
+            self.worker_memory_requests = f"{self.min_memory}G"
+        if self.max_memory:
+            warnings.warn("max_memory is being deprecated, use worker_memory_limits")
+            self.worker_memory_limits = f"{self.max_memory}G"
 
     local_queue: str = None

src/codeflare_sdk/utils/generate_yaml.py

@@ -106,47 +106,54 @@ def update_env(spec, env):
                 container["env"] = env
 
 
-def update_resources(spec, min_cpu, max_cpu, min_memory, max_memory, gpu):
+def update_resources(
+    spec,
+    worker_cpu_requests,
+    worker_cpu_limits,
+    worker_memory_requests,
+    worker_memory_limits,
+    num_worker_gpus,
+):
     container = spec.get("containers")
     for resource in container:
         requests = resource.get("resources").get("requests")
         if requests is not None:
-            requests["cpu"] = min_cpu
-            requests["memory"] = min_memory
-            requests["nvidia.com/gpu"] = gpu
+            requests["cpu"] = worker_cpu_requests
+            requests["memory"] = worker_memory_requests
+            requests["nvidia.com/gpu"] = num_worker_gpus
         limits = resource.get("resources").get("limits")
         if limits is not None:
-            limits["cpu"] = max_cpu
-            limits["memory"] = max_memory
-            limits["nvidia.com/gpu"] = gpu
+            limits["cpu"] = worker_cpu_limits
+            limits["memory"] = worker_memory_limits
+            limits["nvidia.com/gpu"] = num_worker_gpus
 
 
 def update_nodes(
     cluster_yaml,
     appwrapper_name,
-    min_cpu,
-    max_cpu,
-    min_memory,
-    max_memory,
-    gpu,
+    worker_cpu_requests,
+    worker_cpu_limits,
+    worker_memory_requests,
+    worker_memory_limits,
+    num_worker_gpus,
     workers,
     image,
     env,
     image_pull_secrets,
     head_cpus,
     head_memory,
-    head_gpus,
+    num_head_gpus,
 ):
     head = cluster_yaml.get("spec").get("headGroupSpec")
-    head["rayStartParams"]["num-gpus"] = str(int(head_gpus))
+    head["rayStartParams"]["num-gpus"] = str(int(num_head_gpus))
 
     worker = cluster_yaml.get("spec").get("workerGroupSpecs")[0]
     # Head counts as first worker
     worker["replicas"] = workers
     worker["minReplicas"] = workers
     worker["maxReplicas"] = workers
     worker["groupName"] = "small-group-" + appwrapper_name
-    worker["rayStartParams"]["num-gpus"] = str(int(gpu))
+    worker["rayStartParams"]["num-gpus"] = str(int(num_worker_gpus))
 
     for comp in [head, worker]:
         spec = comp.get("template").get("spec")
@@ -156,10 +163,17 @@ def update_nodes(
         if comp == head:
             # TODO: Eventually add head node configuration outside of template
             update_resources(
-                spec, head_cpus, head_cpus, head_memory, head_memory, head_gpus
+                spec, head_cpus, head_cpus, head_memory, head_memory, num_head_gpus
             )
         else:
-            update_resources(spec, min_cpu, max_cpu, min_memory, max_memory, gpu)
+            update_resources(
+                spec,
+                worker_cpu_requests,
+                worker_cpu_limits,
+                worker_memory_requests,
+                worker_memory_limits,
+                num_worker_gpus,
+            )
 
 
 def del_from_list_by_name(l: list, target: typing.List[str]) -> list:
@@ -265,12 +279,12 @@ def generate_appwrapper(
     namespace: str,
     head_cpus: int,
     head_memory: int,
-    head_gpus: int,
-    min_cpu: int,
-    max_cpu: int,
-    min_memory: int,
-    max_memory: int,
-    gpu: int,
+    num_head_gpus: int,
+    worker_cpu_requests: int,
+    worker_cpu_limits: int,
+    worker_memory_requests: int,
+    worker_memory_limits: int,
+    num_worker_gpus: int,
     workers: int,
     template: str,
     image: str,
@@ -287,18 +301,18 @@ def generate_appwrapper(
     update_nodes(
         cluster_yaml,
         appwrapper_name,
-        min_cpu,
-        max_cpu,
-        min_memory,
-        max_memory,
-        gpu,
+        worker_cpu_requests,
+        worker_cpu_limits,
+        worker_memory_requests,
+        worker_memory_limits,
+        num_worker_gpus,
         workers,
         image,
         env,
         image_pull_secrets,
         head_cpus,
         head_memory,
-        head_gpus,
+        num_head_gpus,
     )
     augment_labels(cluster_yaml, labels)
     notebook_annotations(cluster_yaml)

tests/e2e/local_interactive_sdk_kind_test.py

@@ -39,11 +39,11 @@ def run_local_interactives(self):
                 num_workers=1,
                 head_cpus="500m",
                 head_memory=2,
-                min_cpus="500m",
-                max_cpus=1,
-                min_memory=1,
-                max_memory=2,
-                num_gpus=0,
+                worker_cpu_requests="500m",
+                worker_cpu_limits=1,
+                worker_memory_requests=1,
+                worker_memory_limits=2,
+                num_worker_gpus=0,
                 image=ray_image,
                 write_to_file=True,
                 verify_tls=False,

tests/e2e/local_interactive_sdk_oauth_test.py

@@ -44,11 +44,11 @@ def run_local_interactives(self):
                 namespace=self.namespace,
                 name=cluster_name,
                 num_workers=1,
-                min_cpus=1,
-                max_cpus=1,
-                min_memory=4,
-                max_memory=4,
-                num_gpus=0,
+                worker_cpu_requests=1,
+                worker_cpu_limits=1,
+                worker_memory_requests=4,
+                worker_memory_limits=4,
+                num_worker_gpus=0,
                 image=ray_image,
                 verify_tls=False,
             )

tests/e2e/mnist_raycluster_sdk_kind_test.py

@@ -37,11 +37,11 @@ def run_mnist_raycluster_sdk_kind(self):
                 num_workers=1,
                 head_cpus="500m",
                 head_memory=2,
-                min_cpus="500m",
-                max_cpus=1,
-                min_memory=1,
-                max_memory=2,
-                num_gpus=0,
+                worker_cpu_requests="500m",
+                worker_cpu_limits=1,
+                worker_memory_requests=1,
+                worker_memory_limits=2,
+                num_worker_gpus=0,
                 image=ray_image,
                 write_to_file=True,
                 verify_tls=False,

tests/e2e/mnist_raycluster_sdk_oauth_test.py

@@ -44,11 +44,11 @@ def run_mnist_raycluster_sdk_oauth(self):
                 num_workers=1,
                 head_cpus="500m",
                 head_memory=2,
-                min_cpus="500m",
-                max_cpus=1,
-                min_memory=1,
-                max_memory=2,
-                num_gpus=0,
+                worker_cpu_requests="500m",
+                worker_cpu_limits=1,
+                worker_memory_requests=1,
+                worker_memory_limits=2,
+                num_worker_gpus=0,
                 image=ray_image,
                 write_to_file=True,
                 verify_tls=False,