We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
Porting to PyTorch 2.0
**Is your feature request related to a problem? Please describe.**
As PyTorch 2.0 is approaching its release and promising significant benefits, particularly in model compilation, it would be beneficial for GaNDLF to migrate to the platform once it becomes stable. To learn more about PyTorch 2.0, visit [here](https://pytorch.org/get-started/pytorch-2.0/).

**Describe the solution you'd like**
A transition after *tagging* GaNDLF to move to pytorch 2.0

**Describe alternatives you've considered**
N.A.

**Additional context**
N.A.

--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `setup.py`
Content:
```
1 #!/usr/bin/env python
2 
3 """The setup script."""
4 
5 
6 import sys, re, os
7 from setuptools import setup, find_packages
8 from setuptools.command.install import install
9 from setuptools.command.develop import develop
10 from setuptools.command.egg_info import egg_info
11 
12 try:
13     with open("README.md") as readme_file:
14         readme = readme_file.read()
15 except Exception as error:
16     readme = "No README information found."
17     sys.stderr.write(
18         "Warning: Could not open '%s' due %s\n" % ("README.md", error)
19     )
20 
21 
22 class CustomInstallCommand(install):
23     def run(self):
24         install.run(self)
25 
26 
27 class CustomDevelopCommand(develop):
28     def run(self):
29         develop.run(self)
30 
31 
32 class CustomEggInfoCommand(egg_info):
33     def run(self):
34         egg_info.run(self)
35 
36 
37 try:
38     filepath = "GANDLF/version.py"
39     version_file = open(filepath)
40     (__version__,) = re.findall('__version__ = "(.*)"', version_file.read())
41 
42 except Exception as error:
43     __version__ = "0.0.1"
44     sys.stderr.write(
45         "Warning: Could not open '%s' due %s\n" % (filepath, error)
46     )
47 
48 # Handle cases where specific files need to be bundled into the final package as installed via PyPI
49 dockerfiles = [
50     item
51     for item in os.listdir(os.path.dirname(os.path.abspath(__file__)))
52     if (os.path.isfile(item) and item.startswith("Dockerfile-"))
53 ]
54 entrypoint_files = [
55     item
56     for item in os.listdir(os.path.dirname(os.path.abspath(__file__)))
57     if (os.path.isfile(item) and item.startswith("gandlf_"))
58 ]
59 setup_files = ["setup.py", ".dockerignore", "pyproject.toml", "MANIFEST.in"]
60 all_extra_files = dockerfiles + entrypoint_files + setup_files
61 all_extra_files_pathcorrected = [
62     os.path.join("../", item) for item in all_extra_files
63 ]
64 # find_packages should only ever find these as subpackages of gandlf, not as top-level packages
65 # generate this dynamically?
66 # GANDLF.GANDLF is needed to prevent recursion madness in deployments
67 toplevel_package_excludes = [
68     "GANDLF.GANDLF",
69     "anonymize",
70     "cli",
71     "compute",
72     "data",
73     "grad_clipping",
74     "losses",
75     "metrics",
76     "models",
77     "optimizers",
78     "schedulers",
79     "utils",
80 ]
81 
82 
83 requirements = [
84     "torch==1.13.1",
85     "black==23.11.0",
86     "numpy==1.25.0",
87     "scipy",
88     "SimpleITK!=2.0.*",
89     "SimpleITK!=2.2.1",  # https://github.com/mlcommons/GaNDLF/issues/536
90     "torchvision",
91     "tqdm",
92     "torchio==0.18.75",
93     "pandas>=2.0.0",
94     "scikit-learn>=0.23.2",
95     "scikit-image>=0.19.1",
96     "setuptools",
97     "seaborn",
98     "pyyaml",
99     "tiffslide",
100     "matplotlib",
101     "gdown",
102     "pytest",
103     "coverage",
104     "pytest-cov",
105     "psutil",
106     "medcam",
107     "opencv-python",
108     "torchmetrics==1.1.2",
109     "zarr==2.10.3",
110     "pydicom",
111     "onnx",
112     "torchinfo==1.7.0",
113     "segmentation-models-pytorch==0.3.2",
114     "ACSConv==0.1.1",
115     "docker",
116     "dicom-anonymizer",
117     "twine",
118     "zarr",
119     "keyring",
120 ]
121 
122 if __name__ == "__main__":
123     setup(
124         name="GANDLF",
125         version=__version__,
126         author="MLCommons",
127         author_email="gandlf@mlcommons.org",
128         python_requires=">=3.9, <3.11",
129         packages=find_packages(
130             where=os.path.dirname(os.path.abspath(__file__)),
131             exclude=toplevel_package_excludes,
132         ),
133         cmdclass={
134             "install": CustomInstallCommand,
135             "develop": CustomDevelopCommand,
136             "egg_info": CustomEggInfoCommand,
137         },
138         scripts=[
139             "gandlf_run",
140             "gandlf_constructCSV",
141             "gandlf_collectStats",
142             "gandlf_patchMiner",
143             "gandlf_preprocess",
144             "gandlf_anonymizer",
145             "gandlf_verifyInstall",
146             "gandlf_configGenerator",
147             "gandlf_recoverConfig",
148             "gandlf_deploy",
149             "gandlf_optimizeModel",
150             "gandlf_generateMetrics",
151         ],
152         classifiers=[
153             "Development Status :: 3 - Alpha",
154             "Intended Audience :: Science/Research",
155             "License :: OSI Approved :: Apache Software License",
156             "Natural Language :: English",
157             "Operating System :: OS Independent",
158             "Programming Language :: Python :: 3.9",
159             "Programming Language :: Python :: 3.10",
160             "Topic :: Scientific/Engineering :: Medical Science Apps.",
161         ],
162         description=(
163             "PyTorch-based framework that handles segmentation/regression/classification using various DL architectures for medical imaging."
164         ),
165         install_requires=requirements,
166         license="Apache-2.0",
167         long_description=readme,
168         long_description_content_type="text/markdown",
169         include_package_data=True,
170         package_data={"GANDLF": all_extra_files_pathcorrected},
171         keywords="semantic, segmentation, regression, classification, data-augmentation, medical-imaging, clinical-workflows, deep-learning, pytorch",
172         zip_safe=False,
173     )
174
```
--- END FILES ---

Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.

Here is an example:

```diff
diff --git a/examples/server_async.py b/examples/server_async.py
--- a/examples/server_async.py
+++ b/examples/server_async.py
@@ -313,4 +313,4 @@
 
 
 if __name__ == "__main__":
-    asyncio.run(run_async_server("."), debug=True)
+    asyncio.run(run_async_server(), debug=True)
diff --git a/examples/server_sync.py b/examples/server_sync.py
--- a/examples/server_sync.py
+++ b/examples/server_sync.py
@@ -313,5 +313,5 @@
 
 
 if __name__ == "__main__":
-    server = run_sync_server(".")
+    server = run_sync_server()
     server.shutdown()

```

diff --git a/setup.py b/setup.py
--- a/setup.py
+++ b/setup.py
@@ -81,7 +81,7 @@
 
 
 requirements = [
-    "torch==1.13.1",
+    "torch==2.1.0",
     "black==23.11.0",
     "numpy==1.25.0",
     "scipy",

{"golden_diff": "diff --git a/setup.py b/setup.py\n--- a/setup.py\n+++ b/setup.py\n@@ -81,7 +81,7 @@\n \n \n requirements = [\n-    \"torch==1.13.1\",\n+    \"torch==2.1.0\",\n     \"black==23.11.0\",\n     \"numpy==1.25.0\",\n     \"scipy\",\n", "issue": "Porting to PyTorch 2.0\n**Is your feature request related to a problem? Please describe.**\r\nAs PyTorch 2.0 is approaching its release and promising significant benefits, particularly in model compilation, it would be beneficial for GaNDLF to migrate to the platform once it becomes stable. To learn more about PyTorch 2.0, visit [here](https://pytorch.org/get-started/pytorch-2.0/).\r\n\r\n**Describe the solution you'd like**\r\nA transition after *tagging* GaNDLF to move to pytorch 2.0\r\n\r\n**Describe alternatives you've considered**\r\nN.A.\r\n\r\n**Additional context**\r\nN.A.\n", "before_files": [{"content": "#!/usr/bin/env python\n\n\"\"\"The setup script.\"\"\"\n\n\nimport sys, re, os\nfrom setuptools import setup, find_packages\nfrom setuptools.command.install import install\nfrom setuptools.command.develop import develop\nfrom setuptools.command.egg_info import egg_info\n\ntry:\n    with open(\"README.md\") as readme_file:\n        readme = readme_file.read()\nexcept Exception as error:\n    readme = \"No README information found.\"\n    sys.stderr.write(\n        \"Warning: Could not open '%s' due %s\\n\" % (\"README.md\", error)\n    )\n\n\nclass CustomInstallCommand(install):\n    def run(self):\n        install.run(self)\n\n\nclass CustomDevelopCommand(develop):\n    def run(self):\n        develop.run(self)\n\n\nclass CustomEggInfoCommand(egg_info):\n    def run(self):\n        egg_info.run(self)\n\n\ntry:\n    filepath = \"GANDLF/version.py\"\n    version_file = open(filepath)\n    (__version__,) = re.findall('__version__ = \"(.*)\"', version_file.read())\n\nexcept Exception as error:\n    __version__ = \"0.0.1\"\n    sys.stderr.write(\n        \"Warning: Could not open '%s' due %s\\n\" % (filepath, error)\n    )\n\n# Handle cases where specific files need to be bundled into the final package as installed via PyPI\ndockerfiles = [\n    item\n    for item in os.listdir(os.path.dirname(os.path.abspath(__file__)))\n    if (os.path.isfile(item) and item.startswith(\"Dockerfile-\"))\n]\nentrypoint_files = [\n    item\n    for item in os.listdir(os.path.dirname(os.path.abspath(__file__)))\n    if (os.path.isfile(item) and item.startswith(\"gandlf_\"))\n]\nsetup_files = [\"setup.py\", \".dockerignore\", \"pyproject.toml\", \"MANIFEST.in\"]\nall_extra_files = dockerfiles + entrypoint_files + setup_files\nall_extra_files_pathcorrected = [\n    os.path.join(\"../\", item) for item in all_extra_files\n]\n# find_packages should only ever find these as subpackages of gandlf, not as top-level packages\n# generate this dynamically?\n# GANDLF.GANDLF is needed to prevent recursion madness in deployments\ntoplevel_package_excludes = [\n    \"GANDLF.GANDLF\",\n    \"anonymize\",\n    \"cli\",\n    \"compute\",\n    \"data\",\n    \"grad_clipping\",\n    \"losses\",\n    \"metrics\",\n    \"models\",\n    \"optimizers\",\n    \"schedulers\",\n    \"utils\",\n]\n\n\nrequirements = [\n    \"torch==1.13.1\",\n    \"black==23.11.0\",\n    \"numpy==1.25.0\",\n    \"scipy\",\n    \"SimpleITK!=2.0.*\",\n    \"SimpleITK!=2.2.1\",  # https://github.com/mlcommons/GaNDLF/issues/536\n    \"torchvision\",\n    \"tqdm\",\n    \"torchio==0.18.75\",\n    \"pandas>=2.0.0\",\n    \"scikit-learn>=0.23.2\",\n    \"scikit-image>=0.19.1\",\n    \"setuptools\",\n    \"seaborn\",\n    \"pyyaml\",\n    \"tiffslide\",\n    \"matplotlib\",\n    \"gdown\",\n    \"pytest\",\n    \"coverage\",\n    \"pytest-cov\",\n    \"psutil\",\n    \"medcam\",\n    \"opencv-python\",\n    \"torchmetrics==1.1.2\",\n    \"zarr==2.10.3\",\n    \"pydicom\",\n    \"onnx\",\n    \"torchinfo==1.7.0\",\n    \"segmentation-models-pytorch==0.3.2\",\n    \"ACSConv==0.1.1\",\n    \"docker\",\n    \"dicom-anonymizer\",\n    \"twine\",\n    \"zarr\",\n    \"keyring\",\n]\n\nif __name__ == \"__main__\":\n    setup(\n        name=\"GANDLF\",\n        version=__version__,\n        author=\"MLCommons\",\n        author_email=\"gandlf@mlcommons.org\",\n        python_requires=\">=3.9, <3.11\",\n        packages=find_packages(\n            where=os.path.dirname(os.path.abspath(__file__)),\n            exclude=toplevel_package_excludes,\n        ),\n        cmdclass={\n            \"install\": CustomInstallCommand,\n            \"develop\": CustomDevelopCommand,\n            \"egg_info\": CustomEggInfoCommand,\n        },\n        scripts=[\n            \"gandlf_run\",\n            \"gandlf_constructCSV\",\n            \"gandlf_collectStats\",\n            \"gandlf_patchMiner\",\n            \"gandlf_preprocess\",\n            \"gandlf_anonymizer\",\n            \"gandlf_verifyInstall\",\n            \"gandlf_configGenerator\",\n            \"gandlf_recoverConfig\",\n            \"gandlf_deploy\",\n            \"gandlf_optimizeModel\",\n            \"gandlf_generateMetrics\",\n        ],\n        classifiers=[\n            \"Development Status :: 3 - Alpha\",\n            \"Intended Audience :: Science/Research\",\n            \"License :: OSI Approved :: Apache Software License\",\n            \"Natural Language :: English\",\n            \"Operating System :: OS Independent\",\n            \"Programming Language :: Python :: 3.9\",\n            \"Programming Language :: Python :: 3.10\",\n            \"Topic :: Scientific/Engineering :: Medical Science Apps.\",\n        ],\n        description=(\n            \"PyTorch-based framework that handles segmentation/regression/classification using various DL architectures for medical imaging.\"\n        ),\n        install_requires=requirements,\n        license=\"Apache-2.0\",\n        long_description=readme,\n        long_description_content_type=\"text/markdown\",\n        include_package_data=True,\n        package_data={\"GANDLF\": all_extra_files_pathcorrected},\n        keywords=\"semantic, segmentation, regression, classification, data-augmentation, medical-imaging, clinical-workflows, deep-learning, pytorch\",\n        zip_safe=False,\n    )\n", "path": "setup.py"}], "after_files": [{"content": "#!/usr/bin/env python\n\n\"\"\"The setup script.\"\"\"\n\n\nimport sys, re, os\nfrom setuptools import setup, find_packages\nfrom setuptools.command.install import install\nfrom setuptools.command.develop import develop\nfrom setuptools.command.egg_info import egg_info\n\ntry:\n    with open(\"README.md\") as readme_file:\n        readme = readme_file.read()\nexcept Exception as error:\n    readme = \"No README information found.\"\n    sys.stderr.write(\n        \"Warning: Could not open '%s' due %s\\n\" % (\"README.md\", error)\n    )\n\n\nclass CustomInstallCommand(install):\n    def run(self):\n        install.run(self)\n\n\nclass CustomDevelopCommand(develop):\n    def run(self):\n        develop.run(self)\n\n\nclass CustomEggInfoCommand(egg_info):\n    def run(self):\n        egg_info.run(self)\n\n\ntry:\n    filepath = \"GANDLF/version.py\"\n    version_file = open(filepath)\n    (__version__,) = re.findall('__version__ = \"(.*)\"', version_file.read())\n\nexcept Exception as error:\n    __version__ = \"0.0.1\"\n    sys.stderr.write(\n        \"Warning: Could not open '%s' due %s\\n\" % (filepath, error)\n    )\n\n# Handle cases where specific files need to be bundled into the final package as installed via PyPI\ndockerfiles = [\n    item\n    for item in os.listdir(os.path.dirname(os.path.abspath(__file__)))\n    if (os.path.isfile(item) and item.startswith(\"Dockerfile-\"))\n]\nentrypoint_files = [\n    item\n    for item in os.listdir(os.path.dirname(os.path.abspath(__file__)))\n    if (os.path.isfile(item) and item.startswith(\"gandlf_\"))\n]\nsetup_files = [\"setup.py\", \".dockerignore\", \"pyproject.toml\", \"MANIFEST.in\"]\nall_extra_files = dockerfiles + entrypoint_files + setup_files\nall_extra_files_pathcorrected = [\n    os.path.join(\"../\", item) for item in all_extra_files\n]\n# find_packages should only ever find these as subpackages of gandlf, not as top-level packages\n# generate this dynamically?\n# GANDLF.GANDLF is needed to prevent recursion madness in deployments\ntoplevel_package_excludes = [\n    \"GANDLF.GANDLF\",\n    \"anonymize\",\n    \"cli\",\n    \"compute\",\n    \"data\",\n    \"grad_clipping\",\n    \"losses\",\n    \"metrics\",\n    \"models\",\n    \"optimizers\",\n    \"schedulers\",\n    \"utils\",\n]\n\n\nrequirements = [\n    \"torch==2.1.0\",\n    \"black==23.11.0\",\n    \"numpy==1.25.0\",\n    \"scipy\",\n    \"SimpleITK!=2.0.*\",\n    \"SimpleITK!=2.2.1\",  # https://github.com/mlcommons/GaNDLF/issues/536\n    \"torchvision\",\n    \"tqdm\",\n    \"torchio==0.18.75\",\n    \"pandas>=2.0.0\",\n    \"scikit-learn>=0.23.2\",\n    \"scikit-image>=0.19.1\",\n    \"setuptools\",\n    \"seaborn\",\n    \"pyyaml\",\n    \"tiffslide\",\n    \"matplotlib\",\n    \"gdown\",\n    \"pytest\",\n    \"coverage\",\n    \"pytest-cov\",\n    \"psutil\",\n    \"medcam\",\n    \"opencv-python\",\n    \"torchmetrics==1.1.2\",\n    \"zarr==2.10.3\",\n    \"pydicom\",\n    \"onnx\",\n    \"torchinfo==1.7.0\",\n    \"segmentation-models-pytorch==0.3.2\",\n    \"ACSConv==0.1.1\",\n    \"docker\",\n    \"dicom-anonymizer\",\n    \"twine\",\n    \"zarr\",\n    \"keyring\",\n]\n\nif __name__ == \"__main__\":\n    setup(\n        name=\"GANDLF\",\n        version=__version__,\n        author=\"MLCommons\",\n        author_email=\"gandlf@mlcommons.org\",\n        python_requires=\">=3.9, <3.11\",\n        packages=find_packages(\n            where=os.path.dirname(os.path.abspath(__file__)),\n            exclude=toplevel_package_excludes,\n        ),\n        cmdclass={\n            \"install\": CustomInstallCommand,\n            \"develop\": CustomDevelopCommand,\n            \"egg_info\": CustomEggInfoCommand,\n        },\n        scripts=[\n            \"gandlf_run\",\n            \"gandlf_constructCSV\",\n            \"gandlf_collectStats\",\n            \"gandlf_patchMiner\",\n            \"gandlf_preprocess\",\n            \"gandlf_anonymizer\",\n            \"gandlf_verifyInstall\",\n            \"gandlf_configGenerator\",\n            \"gandlf_recoverConfig\",\n            \"gandlf_deploy\",\n            \"gandlf_optimizeModel\",\n            \"gandlf_generateMetrics\",\n        ],\n        classifiers=[\n            \"Development Status :: 3 - Alpha\",\n            \"Intended Audience :: Science/Research\",\n            \"License :: OSI Approved :: Apache Software License\",\n            \"Natural Language :: English\",\n            \"Operating System :: OS Independent\",\n            \"Programming Language :: Python :: 3.9\",\n            \"Programming Language :: Python :: 3.10\",\n            \"Topic :: Scientific/Engineering :: Medical Science Apps.\",\n        ],\n        description=(\n            \"PyTorch-based framework that handles segmentation/regression/classification using various DL architectures for medical imaging.\"\n        ),\n        install_requires=requirements,\n        license=\"Apache-2.0\",\n        long_description=readme,\n        long_description_content_type=\"text/markdown\",\n        include_package_data=True,\n        package_data={\"GANDLF\": all_extra_files_pathcorrected},\n        keywords=\"semantic, segmentation, regression, classification, data-augmentation, medical-imaging, clinical-workflows, deep-learning, pytorch\",\n        zip_safe=False,\n    )\n", "path": "setup.py"}]}