Merge branch 'master' into 2PR

src/sagemaker/local/image.py

@@ -860,7 +860,9 @@ def _create_docker_host(
         # to setting --runtime=nvidia in the docker commandline.
         if self.instance_type == "local_gpu":
             host_config["deploy"] = {
-                "resources": {"reservations": {"devices": [{"capabilities": ["gpu"]}]}}
+                "resources": {
+                    "reservations": {"devices": [{"count": "all", "capabilities": ["gpu"]}]}
+                }
             }
 
         if not self.is_studio and command == "serve":

tests/unit/sagemaker/local/test_local_image.py

@@ -871,7 +871,7 @@ def test_container_has_gpu_support(tmpdir, sagemaker_session):
     docker_host = sagemaker_container._create_docker_host("host-1", {}, set(), "train", [])
     assert "deploy" in docker_host
     assert docker_host["deploy"] == {
-        "resources": {"reservations": {"devices": [{"capabilities": ["gpu"]}]}}
+        "resources": {"reservations": {"devices": [{"count": "all", "capabilities": ["gpu"]}]}}
     }
 
 

tox.ini

@@ -4,7 +4,7 @@
 # and then run "tox" from this directory.
 
 [tox]
-envlist = black-format,flake8,pylint,docstyle,sphinx,doc8,twine,py38,py39,py310
+envlist = black-format,flake8,pylint,docstyle,sphinx,doc8,twine,py38,py39,py310,py311
 
 skip_missing_interpreters = False
 
@@ -84,12 +84,13 @@ commands =
     pip install 'apache-airflow==2.8.2' --constraint "https://raw.githubusercontent.com/apache/airflow/constraints-2.8.2/constraints-3.8.txt"
     pip install 'torch==2.0.1+cpu' -f 'https://download.pytorch.org/whl/torch_stable.html'
     pip install 'torchvision==0.15.2+cpu' -f 'https://download.pytorch.org/whl/torch_stable.html'
+    pip install 'dill>=0.3.8'
 
     pytest --cov=sagemaker --cov-append {posargs}
-    {env:IGNORE_COVERAGE:} coverage report -i --fail-under=86
+{env:IGNORE_COVERAGE:} coverage report -i --fail-under=86
 deps = .[test]
 depends =
-    {py38,py39,py310}: clean
+    {py38,py39,py310,p311}: clean
 
 [testenv:flake8]
 skipdist = true