Use GPUtil for gpu detection when available (#18938)

In Envs with K8S and enabled SELinux there is a bug:
"/proc/nvidia/" is not allowed to mount in container
So, i made a rework for GPU detection based on GPutil package.



## Checks

- [x] I've run `scripts/format.sh` to lint the changes in this PR.
- [x] I've made sure the tests are passing. Note that there might be a few flaky tests, see the recent failures at https://flakey-tests.ray.io/
- Testing Strategy
   - [x] Release tests

Co-authored-by: Mopga <a14415641@cab-wsm-0010669.sigma.sbrf.ru>
Co-authored-by: Julius <juliustfrost@gmail.com>

python/ray/_private/resource_spec.py

@@ -1,3 +1,4 @@
+import importlib.util
 from collections import namedtuple
 import logging
 import os
@@ -8,6 +9,11 @@ import sys
 import ray
 import ray.ray_constants as ray_constants
 
+try:
+    import GPUtil
+except ImportError:
+    pass
+
 logger = logging.getLogger(__name__)
 
 # Prefix for the node id resource that is automatically added to each node.
@@ -175,6 +181,12 @@ class ResourceSpec(
                 num_gpus = min(num_gpus, len(gpu_ids))
 
         try:
+            if (
+                sys.platform.startswith("linux")
+                and importlib.util.find_spec("GPUtil") is not None
+            ):
+                gpu_types = _get_gpu_types_gputil()
+            else:
                 info_string = _get_gpu_info_string()
                 gpu_types = _constraints_from_gpu_info(info_string)
             resources.update(gpu_types)
@@ -261,16 +273,17 @@ def _autodetect_num_gpus():
     """Attempt to detect the number of GPUs on this machine.
 
     TODO(rkn): This currently assumes NVIDIA GPUs on Linux.
-    TODO(mehrdadn): This currently does not work on macOS.
     TODO(mehrdadn): Use a better mechanism for Windows.
 
-    Possibly useful: tensorflow.config.list_physical_devices()
-
     Returns:
         The number of GPUs if any were detected, otherwise 0.
     """
     result = 0
     if sys.platform.startswith("linux"):
+        if importlib.util.find_spec("GPUtil"):
+            gpu_list = GPUtil.getGPUs()
+            result = len(gpu_list)
+        else:
             proc_gpus_path = "/proc/driver/nvidia/gpus"
             if os.path.isdir(proc_gpus_path):
                 result = len(os.listdir(proc_gpus_path))
@@ -282,6 +295,20 @@ def _autodetect_num_gpus():
     return result
 
 
+def _get_gpu_types_gputil():
+    gpu_list = GPUtil.getGPUs()
+    if len(gpu_list) > 0:
+        gpu_list_names = [gpu.name for gpu in gpu_list]
+        info_str = gpu_list_names.pop()
+        pretty_name = _pretty_gpu_name(info_str)
+        if pretty_name:
+            constraint_name = (
+                f"{ray_constants.RESOURCE_CONSTRAINT_PREFIX}" f"{pretty_name}"
+            )
+            return {constraint_name: 1}
+    return {}
+
+
 def _constraints_from_gpu_info(info_str):
     """Parse the contents of a /proc/driver/nvidia/gpus/*/information to get the
     gpu model type.