[Azure] Support fractional A10 instance types

sky/backends/cloud_vm_ray_backend.py

@@ -3411,6 +3411,20 @@ def _execute(
         valid_resource = self.check_resources_fit_cluster(handle,
                                                           task,
                                                           check_ports=True)
+        # For fractional acc count clusters, we round up the number of accs to 1
+        # (see sky/utils/resources_utils.py::make_ray_custom_resources_str).
+        # Here we scale the required acc count to (required / launched) * 1 so
+        # the total number of accs is the same as the requested number.
+        launched_accs = handle.launched_resources.accelerators
+        if (launched_accs is not None and
+                valid_resource.accelerators is not None):
+            for _, count in launched_accs.items():
+                if isinstance(count, float) and not count.is_integer():
+                    valid_resource = valid_resource.copy(
+                        accelerators={
+                            k: v / count
+                            for k, v in valid_resource.accelerators.items()
+                        })
         task_copy = copy.copy(task)
         # Handle multiple resources exec case.
         task_copy.set_resources(valid_resource)

sky/clouds/aws.py

@@ -2,13 +2,12 @@
 import enum
 import fnmatch
 import functools
-import json
 import os
 import re
 import subprocess
 import time
 import typing
-from typing import Any, Dict, Iterator, List, Optional, Set, Tuple
+from typing import Any, Dict, Iterator, List, Optional, Set, Tuple, Union
 
 from sky import clouds
 from sky import exceptions
@@ -366,7 +365,7 @@ def get_default_instance_type(
     def get_accelerators_from_instance_type(
         cls,
         instance_type: str,
-    ) -> Optional[Dict[str, int]]:
+    ) -> Optional[Dict[str, Union[int, float]]]:
         return service_catalog.get_accelerators_from_instance_type(
             instance_type, clouds='aws')
 
@@ -394,10 +393,8 @@ def make_deploy_resources_variables(
         r = resources
         # r.accelerators is cleared but .instance_type encodes the info.
         acc_dict = self.get_accelerators_from_instance_type(r.instance_type)
-        if acc_dict is not None:
-            custom_resources = json.dumps(acc_dict, separators=(',', ':'))
-        else:
-            custom_resources = None
+        custom_resources = resources_utils.make_ray_custom_resources_str(
+            acc_dict)
 
         if r.extract_docker_image() is not None:
             image_id_to_use = None

sky/clouds/azure.py

@@ -1,12 +1,11 @@
 """Azure."""
 import functools
-import json
 import os
 import re
 import subprocess
 import textwrap
 import typing
-from typing import Any, Dict, Iterator, List, Optional, Tuple
+from typing import Any, Dict, Iterator, List, Optional, Tuple, Union
 
 import colorama
 
@@ -253,7 +252,7 @@ def zones_provision_loop(
     def get_accelerators_from_instance_type(
         cls,
         instance_type: str,
-    ) -> Optional[Dict[str, int]]:
+    ) -> Optional[Dict[str, Union[int, float]]]:
         return service_catalog.get_accelerators_from_instance_type(
             instance_type, clouds='azure')
 
@@ -285,10 +284,9 @@ def make_deploy_resources_variables(
         acc_dict = self.get_accelerators_from_instance_type(r.instance_type)
         acc_count = None
         if acc_dict is not None:
-            custom_resources = json.dumps(acc_dict, separators=(',', ':'))
             acc_count = str(sum(acc_dict.values()))
-        else:
-            custom_resources = None
+        custom_resources = resources_utils.make_ray_custom_resources_str(
+            acc_dict)
 
         if (resources.image_id is None or
                 resources.extract_docker_image() is not None):

sky/clouds/cloud.py

@@ -9,8 +9,9 @@
 """
 import collections
 import enum
+import math
 import typing
-from typing import Dict, Iterable, Iterator, List, Optional, Set, Tuple
+from typing import Dict, Iterable, Iterator, List, Optional, Set, Tuple, Union
 
 from sky import exceptions
 from sky import skypilot_config
@@ -306,7 +307,7 @@ def get_vcpus_mem_from_instance_type(
     def get_accelerators_from_instance_type(
         cls,
         instance_type: str,
-    ) -> Optional[Dict[str, int]]:
+    ) -> Optional[Dict[str, Union[int, float]]]:
         """Returns {acc: acc_count} held by 'instance_type', if any."""
         raise NotImplementedError
 
@@ -644,8 +645,9 @@ def _check_instance_type_accelerators_combination(
         assert resources.is_launchable(), resources
 
         def _equal_accelerators(
-                acc_requested: Optional[Dict[str, int]],
-                acc_from_instance_type: Optional[Dict[str, int]]) -> bool:
+            acc_requested: Optional[Dict[str, Union[int, float]]],
+            acc_from_instance_type: Optional[Dict[str, Union[int,
+                                                             float]]]) -> bool:
             """Check the requested accelerators equals to the instance type
 
             Check the requested accelerators equals to the accelerators
@@ -660,12 +662,14 @@ def _equal_accelerators(
             for acc in acc_requested:
                 if acc not in acc_from_instance_type:
                     return False
-                if acc_requested[acc] != acc_from_instance_type[acc]:
+                # Avoid float point precision issue.
+                if not math.isclose(acc_requested[acc],
+                                    acc_from_instance_type[acc]):
                     return False
             return True
 
-        acc_from_instance_type = (cls.get_accelerators_from_instance_type(
-            resources.instance_type))
+        acc_from_instance_type = cls.get_accelerators_from_instance_type(
+            resources.instance_type)
         if not _equal_accelerators(resources.accelerators,
                                    acc_from_instance_type):
             with ux_utils.print_exception_no_traceback():

sky/clouds/cudo.py

@@ -1,8 +1,7 @@
 """Cudo Compute"""
-import json
 import subprocess
 import typing
-from typing import Dict, Iterator, List, Optional, Tuple
+from typing import Dict, Iterator, List, Optional, Tuple, Union
 
 from sky import clouds
 from sky.clouds import service_catalog
@@ -183,7 +182,7 @@ def get_default_instance_type(
     def get_accelerators_from_instance_type(
         cls,
         instance_type: str,
-    ) -> Optional[Dict[str, int]]:
+    ) -> Optional[Dict[str, Union[int, float]]]:
         return service_catalog.get_accelerators_from_instance_type(
             instance_type, clouds='cudo')
 
@@ -202,10 +201,8 @@ def make_deploy_resources_variables(
         del zones, cluster_name  # unused
         r = resources
         acc_dict = self.get_accelerators_from_instance_type(r.instance_type)
-        if acc_dict is not None:
-            custom_resources = json.dumps(acc_dict, separators=(',', ':'))
-        else:
-            custom_resources = None
+        custom_resources = resources_utils.make_ray_custom_resources_str(
+            acc_dict)
 
         return {
             'instance_type': resources.instance_type,

sky/clouds/fluidstack.py

@@ -1,8 +1,7 @@
 """Fluidstack Cloud."""
-import json
 import os
 import typing
-from typing import Dict, Iterator, List, Optional, Tuple
+from typing import Dict, Iterator, List, Optional, Tuple, Union
 
 import requests
 
@@ -155,7 +154,7 @@ def get_default_instance_type(
     def get_accelerators_from_instance_type(
         cls,
         instance_type: str,
-    ) -> Optional[Dict[str, int]]:
+    ) -> Optional[Dict[str, Union[int, float]]]:
         return service_catalog.get_accelerators_from_instance_type(
             instance_type, clouds='fluidstack')
 
@@ -184,10 +183,8 @@ def make_deploy_resources_variables(
 
         r = resources
         acc_dict = self.get_accelerators_from_instance_type(r.instance_type)
-        if acc_dict is not None:
-            custom_resources = json.dumps(acc_dict, separators=(',', ':'))
-        else:
-            custom_resources = None
+        custom_resources = resources_utils.make_ray_custom_resources_str(
+            acc_dict)
 
         return {
             'instance_type': resources.instance_type,

sky/clouds/gcp.py

@@ -7,7 +7,7 @@
 import subprocess
 import time
 import typing
-from typing import Any, Dict, Iterator, List, Optional, Set, Tuple
+from typing import Any, Dict, Iterator, List, Optional, Set, Tuple, Union
 
 import colorama
 
@@ -630,7 +630,7 @@ def _get_feasible_launchable_resources(
     def get_accelerators_from_instance_type(
         cls,
         instance_type: str,
-    ) -> Optional[Dict[str, int]]:
+    ) -> Optional[Dict[str, Union[int, float]]]:
         # GCP handles accelerators separately from regular instance types,
         # hence return none here.
         return None

sky/clouds/ibm.py

@@ -1,8 +1,7 @@
 """IBM Web Services."""
-import json
 import os
 import typing
-from typing import Any, Dict, Iterator, List, Optional, Tuple
+from typing import Any, Dict, Iterator, List, Optional, Tuple, Union
 
 import colorama
 
@@ -206,10 +205,8 @@ def _get_profile_resources(instance_profile):
             'IBM does not currently support spot instances in this framework'
 
         acc_dict = self.get_accelerators_from_instance_type(r.instance_type)
-        if acc_dict is not None:
-            custom_resources = json.dumps(acc_dict, separators=(',', ':'))
-        else:
-            custom_resources = None
+        custom_resources = resources_utils.make_ray_custom_resources_str(
+            acc_dict)
 
         instance_resources = _get_profile_resources(r.instance_type)
 
@@ -247,7 +244,7 @@ def get_vcpus_mem_from_instance_type(
     def get_accelerators_from_instance_type(
         cls,
         instance_type: str,
-    ) -> Optional[Dict[str, int]]:
+    ) -> Optional[Dict[str, Union[int, float]]]:
         """Returns {acc: acc_count} held by 'instance_type', if any."""
         return service_catalog.get_accelerators_from_instance_type(
             instance_type, clouds='ibm')

sky/clouds/kubernetes.py

@@ -1,9 +1,8 @@
 """Kubernetes."""
-import json
 import os
 import re
 import typing
-from typing import Dict, Iterator, List, Optional, Tuple
+from typing import Dict, Iterator, List, Optional, Tuple, Union
 
 from sky import clouds
 from sky import sky_logging
@@ -180,7 +179,7 @@ def get_default_instance_type(
     def get_accelerators_from_instance_type(
         cls,
         instance_type: str,
-    ) -> Optional[Dict[str, int]]:
+    ) -> Optional[Dict[str, Union[int, float]]]:
         inst = kubernetes_utils.KubernetesInstanceType.from_instance_type(
             instance_type)
         return {
@@ -234,10 +233,8 @@ def make_deploy_resources_variables(
 
         r = resources
         acc_dict = self.get_accelerators_from_instance_type(r.instance_type)
-        if acc_dict is not None:
-            custom_resources = json.dumps(acc_dict, separators=(',', ':'))
-        else:
-            custom_resources = None
+        custom_resources = resources_utils.make_ray_custom_resources_str(
+            acc_dict)
 
         # resources.memory and cpus are None if they are not explicitly set.
         # We fetch the default values for the instance type in that case.

sky/clouds/lambda_cloud.py

@@ -1,7 +1,6 @@
 """Lambda Cloud."""
-import json
 import typing
-from typing import Dict, Iterator, List, Optional, Tuple
+from typing import Dict, Iterator, List, Optional, Tuple, Union
 
 import requests
 
@@ -137,7 +136,7 @@ def get_default_instance_type(
     def get_accelerators_from_instance_type(
         cls,
         instance_type: str,
-    ) -> Optional[Dict[str, int]]:
+    ) -> Optional[Dict[str, Union[int, float]]]:
         return service_catalog.get_accelerators_from_instance_type(
             instance_type, clouds='lambda')
 
@@ -165,10 +164,8 @@ def make_deploy_resources_variables(
 
         r = resources
         acc_dict = self.get_accelerators_from_instance_type(r.instance_type)
-        if acc_dict is not None:
-            custom_resources = json.dumps(acc_dict, separators=(',', ':'))
-        else:
-            custom_resources = None
+        custom_resources = resources_utils.make_ray_custom_resources_str(
+            acc_dict)
 
         return {
             'instance_type': resources.instance_type,

sky/clouds/oci.py

@@ -5,11 +5,10 @@
  - Hysun He (hysun.he@oracle.com) @ May 4, 2023: Support use the default
    image_id (configurable) if no image_id specified in the task yaml.
 """
-import json
 import logging
 import os
 import typing
-from typing import Dict, Iterator, List, Optional, Tuple
+from typing import Dict, Iterator, List, Optional, Tuple, Union
 
 from sky import clouds
 from sky import exceptions
@@ -178,7 +177,7 @@ def get_default_instance_type(
     def get_accelerators_from_instance_type(
         cls,
         instance_type: str,
-    ) -> Optional[Dict[str, int]]:
+    ) -> Optional[Dict[str, Union[int, float]]]:
         return service_catalog.get_accelerators_from_instance_type(
             instance_type, clouds='oci')
 
@@ -198,10 +197,8 @@ def make_deploy_resources_variables(
 
         acc_dict = self.get_accelerators_from_instance_type(
             resources.instance_type)
-        if acc_dict is not None:
-            custom_resources = json.dumps(acc_dict, separators=(',', ':'))
-        else:
-            custom_resources = None
+        custom_resources = resources_utils.make_ray_custom_resources_str(
+            acc_dict)
 
         image_str = self._get_image_id(resources.image_id, region.name,
                                        resources.instance_type)

sky/clouds/paperspace.py

@@ -1,8 +1,7 @@
 """ Paperspace Cloud. """
 
-import json
 import typing
-from typing import Dict, Iterator, List, Optional, Tuple
+from typing import Dict, Iterator, List, Optional, Tuple, Union
 
 import requests
 
@@ -162,7 +161,7 @@ def get_default_instance_type(
 
     @classmethod
     def get_accelerators_from_instance_type(
-            cls, instance_type: str) -> Optional[Dict[str, int]]:
+            cls, instance_type: str) -> Optional[Dict[str, Union[int, float]]]:
         return service_catalog.get_accelerators_from_instance_type(
             instance_type, clouds='paperspace')
 
@@ -181,10 +180,8 @@ def make_deploy_resources_variables(
 
         r = resources
         acc_dict = self.get_accelerators_from_instance_type(r.instance_type)
-        if acc_dict is not None:
-            custom_resources = json.dumps(acc_dict, separators=(',', ':'))
-        else:
-            custom_resources = None
+        custom_resources = resources_utils.make_ray_custom_resources_str(
+            acc_dict)
 
         return {
             'instance_type': resources.instance_type,