Fix cloud multi-nodes

* Copy ssh key to allow connections from master to workers
* Use local ip for manager's ip such that workers can find it and connect to it
* Fix incompatibility between pandas and numpy 2.0.0

config/cloud-multinodes-system.yaml

@@ -5,6 +5,7 @@ system:
     - name: manager
       # Use 1.1.1.1 as an ip placeholder
       ip: 1.1.1.1
+      port: 5000
       # Use this node as the master node or not
       main: true
       # User to use in remote milabench operations

milabench/commands/__init__.py

@@ -939,6 +939,13 @@ def _get_main_and_workers(self):
     def _argv(self, **_) -> List:
         manager, nodes = self._get_main_and_workers()
 
+        # Find local ip such that workers can connect to the port
+        for manager_ip in manager["ipaddrlist"]:
+            if ":" in manager_ip or manager_ip == "127.0.0.1":
+                continue
+            if all(str.isnumeric(n) for n in manager_ip.split(".")):
+                break
+
         num_machines = max(1, len(nodes) + 1)
 
         # Cant do that maybe this run is constrained
@@ -976,9 +983,9 @@ def _argv(self, **_) -> List:
             f"--machine_rank={self.rank}",
             f"--num_machines={num_machines}",
             *deepspeed_argv,
-            f"--gradient_accumulation_steps={self.pack.config.get('gradient_accumulation_steps', 1)}",
-            f"--num_cpu_threads_per_process={cpu_per_process}",
-            f"--main_process_ip={manager['ip']}",
+            f"--gradient_accumulation_steps={self.pack.config['gradient_accumulation_steps']}",
+            f"--num_cpu_threads_per_process={self.pack.config['argv']['--cpus_per_gpu']}",
+            f"--main_process_ip={manager_ip}",
             f"--main_process_port={manager['port']}",
             f"--num_processes={nproc}",
             *self.accelerate_argv,

milabench/remote.py

@@ -2,16 +2,11 @@
 import os
 import sys
 
-import yaml
-
-from milabench.fs import XPath
-
 from . import ROOT_FOLDER
 from .commands import (
     CmdCommand,
     Command,
     ListCommand,
-    SCPCommand,
     SequenceCommand,
     SSHCommand,
     VoidCommand,

milabench/scripts/covalent/__main__.py

@@ -98,24 +98,63 @@ def _popen(cmd, *args, _env=None, **kwargs):
             assert result and result[0]
 
             all_connection_attributes, _ = result
+            ssh_key_file:str = None
             for hostname, connection_attributes in all_connection_attributes.items():
                 print(f"hostname::>{hostname}")
                 for attribute,value in connection_attributes.items():
                     if attribute == "hostname":
                         continue
                     print(f"{attribute}::>{value}")
 
+                ssh_key_file = (
+                    ssh_key_file or connection_attributes["ssh_key_file"]
+                )
+
+            if len(all_connection_attributes) >= 1:
+                fn = pathlib.Path(ssh_key_file)
+                dispatch_id = ct.dispatch(
+                    ct.lattice(executor.cp_to_remote), disable_run=False
+                )(f".ssh/{fn.name.split('.')[0]}", str(fn))
+
+                result = ct.get_result(dispatch_id=dispatch_id, wait=True).result
+
         if argv:
             dispatch_id = ct.dispatch(
-                ct.lattice(
-                    lambda:ct.electron(_popen, executor=executor)(argv)
-                ),
-                disable_run=False
+                ct.lattice(executor.list_running_instances), disable_run=False
             )()
 
             result = ct.get_result(dispatch_id=dispatch_id, wait=True).result
 
-            return_code, _, _ = result if result is not None else (1, "", "")
+            assert result
+
+            dispatch_ids = set()
+            for connection_attributes in result.get(
+                (executor.state_prefix, executor.state_id),
+                {"env": None}
+            ).values():
+                kwargs = {
+                    **_get_executor_kwargs(args),
+                    **connection_attributes
+                }
+                del kwargs["env"]
+
+                _executor:ct.executor.BaseExecutor = executor_cls(**kwargs)
+
+                dispatch_ids.add(
+                    ct.dispatch(
+                        ct.lattice(
+                            lambda:ct.electron(_popen, executor=_executor)(argv)
+                        ),
+                        disable_run=False
+                    )()
+                )
+
+            for dispatch_id in dispatch_ids:
+                result = ct.get_result(dispatch_id=dispatch_id, wait=True).result
+
+                _return_code, _, _ = result if result is not None else (1, "", "")
+                return_code = return_code or _return_code
+
     finally:
         if args.teardown:
             result = executor.stop_cloud_instance().result

milabench/system.py

@@ -258,6 +258,10 @@ def _resolve_ip(ip):
     if not offline:
         # Resolve the IP
         try:
+            # Workaround error with `gethostbyaddr` on azure DNS (like
+            # `inmako.eastus2.cloudapp.azure.com`). A proper fix might be a
+            # correct network config in terraform.
+            # socket.herror: [Errno 1] Unknown host
             hostname, aliaslist, ipaddrlist = socket.gethostbyname_ex(ip)
             lazy_raise = None
 

pyproject.toml

@@ -26,7 +26,9 @@ blessed = "^1.19.1"
 pathspec = "^0.9.0"
 cp-template = "^0.3.0"
 pandas = ">=1.4.2"
-numpy = ">=1.23.0,<2.0.0"
+# Work around for compatibility issue between numpy 2.0.0 and pandas
+# https://github.com/numpy/numpy/issues/26710
+numpy = "^1.23.0"
 pynvml = "^11.4.1"
 tqdm = "^4.64.1"
 pip-tools = "^7.4.1"