adding proportional cpu and memory args when not asking for the full node (#1678)

Summary: Pull Request resolved: #1678

Differential Revision: D85610860

Pulled By: luccabb

Author: luccabb

python/monarch/_src/job/slurm.py

@@ -11,13 +11,12 @@
 import os
 import subprocess
 import sys
-from typing import Any, cast, Dict, FrozenSet, List, Optional, Sequence
+from typing import Any, Dict, FrozenSet, List, Optional, Sequence
 
 from monarch._rust_bindings.monarch_hyperactor.channel import ChannelTransport
 from monarch._rust_bindings.monarch_hyperactor.config import configure
 
 from monarch._src.actor.bootstrap import attach_to_workers
-from monarch._src.actor.host_mesh import HostMesh
 from monarch._src.job.job import JobState, JobTrait
 
 
@@ -55,6 +54,8 @@ def __init__(
         log_dir: Optional[str] = None,
         exclusive: bool = True,
         gpus_per_node: Optional[int] = None,
+        cpus_per_task: Optional[int] = None,
+        mem: Optional[str] = None,
     ) -> None:
         """
         Args:
@@ -84,6 +85,8 @@ def __init__(
         self._log_dir: str = log_dir if log_dir is not None else os.getcwd()
         self._exclusive = exclusive
         self._gpus_per_node = gpus_per_node
+        self._cpus_per_task = cpus_per_task
+        self._mem = mem
         # Track the single SLURM job ID and all allocated hostnames
         self._slurm_job_id: Optional[str] = None
         self._all_hostnames: List[str] = []
@@ -128,6 +131,12 @@ def _submit_slurm_job(self, num_nodes: int) -> str:
         if self._gpus_per_node is not None:
             sbatch_directives.append(f"#SBATCH --gpus-per-node={self._gpus_per_node}")
 
+        if self._cpus_per_task is not None:
+            sbatch_directives.append(f"#SBATCH --cpus-per-task={self._cpus_per_task}")
+
+        if self._mem is not None:
+            sbatch_directives.append(f"#SBATCH --mem={self._mem}")
+
         if self._exclusive:
             sbatch_directives.append("#SBATCH --exclusive")
 
@@ -297,6 +306,8 @@ def can_run(self, spec: "JobTrait") -> bool:
             and spec._time_limit == self._time_limit
             and spec._partition == self._partition
             and spec._gpus_per_node == self._gpus_per_node
+            and spec._cpus_per_task == self._cpus_per_task
+            and spec._mem == self._mem
             and self._jobs_active()
         )
 
@@ -318,6 +329,28 @@ def _jobs_active(self) -> bool:
 
         return True
 
+    def share_node(
+        self, tasks_per_node: int, gpus_per_task: int, partition: str
+    ) -> None:
+        """
+        Share a node with other jobs.
+        """
+        try:
+            import clusterscope
+        except ImportError:
+            raise RuntimeError(
+                "please install clusterscope to use share_node. `pip install clusterscope`"
+            )
+        self._exclusive = False
+
+        slurm_args = clusterscope.job_gen_task_slurm(
+            partition=partition,
+            gpus_per_task=gpus_per_task,
+            tasks_per_node=tasks_per_node,
+        )
+        self._cpus_per_task = slurm_args["cpus_per_task"]
+        self._mem = slurm_args["memory"]
+
     def _kill(self) -> None:
         """Cancel the SLURM job."""
         if self._slurm_job_id is not None:

requirements.txt

@@ -10,3 +10,4 @@ torchx-nightly
 lark
 tabulate
 opentelemetry-api
+clusterscope