old_contents: # Copyright 2020 Google LLC
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #      http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  import os
  import re
  
  import setuptools
  
  # for simplicity we actually store the version in the __version__ attribute in the source
  here = os.path.realpath(os.path.dirname(__file__))
  with open(os.path.join(here, 'torchsde', '__init__.py')) as f:
      meta_match = re.search(r"^__version__ = ['\"]([^'\"]*)['\"]", f.read(), re.M)
      if meta_match:
          version = meta_match.group(1)
      else:
          raise RuntimeError("Unable to find __version__ string.")
  
  setuptools.setup(
      name="torchsde",
      version=version,
      author="Xuechen Li",
      author_email="lxuechen@cs.toronto.edu",
      description="SDE solvers and stochastic adjoint sensitivity analysis in PyTorch.",
      url="https://github.com/google-research/torchsde",
      packages=setuptools.find_packages(exclude=['benchmarks', 'diagnostics', 'examples', 'tests']),
      # TODO(lxuechen): Tested on my local machine, adjoint breaks for torch==1.8.0 (w/ cu111 and above) due to segfault
      #  occurring in mvp for ExAdditive and Stratonovich at the following line:
      #  https://github.com/google-research/torchsde/blob/f965bc9a716a86bce45c3d410bc9eaf22283037e/torchsde/_core/misc.py#L62
      #  Since this problem doesn't occur for lower versions, it's likely a problem with the C extension.
      install_requires=['torch>=1.6.0, <1.8.0', 'numpy==1.19.*', 'boltons>=20.2.1', 'trampoline>=0.1.2', 'scipy==1.5.*'],
      python_requires='~=3.6',
      classifiers=[
          "Programming Language :: Python :: 3",
          "License :: OSI Approved :: Apache Software License",
      ],
  )
  
new_contents: # Copyright 2020 Google LLC
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #      http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  
  import os
  import re
  
  import setuptools
  
  # for simplicity we actually store the version in the __version__ attribute in the source
  here = os.path.realpath(os.path.dirname(__file__))
  with open(os.path.join(here, 'torchsde', '__init__.py')) as f:
      meta_match = re.search(r"^__version__ = ['\"]([^'\"]*)['\"]", f.read(), re.M)
      if meta_match:
          version = meta_match.group(1)
      else:
          raise RuntimeError("Unable to find __version__ string.")
  
  setuptools.setup(
      name="torchsde",
      version=version,
      author="Xuechen Li",
      author_email="lxuechen@cs.toronto.edu",
      description="SDE solvers and stochastic adjoint sensitivity analysis in PyTorch.",
      url="https://github.com/google-research/torchsde",
      packages=setuptools.find_packages(exclude=['benchmarks', 'diagnostics', 'examples', 'tests']),
      install_requires=['torch>=1.6.0', 'numpy==1.19.*', 'boltons>=20.2.1', 'trampoline>=0.1.2', 'scipy==1.5.*'],
      python_requires='~=3.6',
      classifiers=[
          "Programming Language :: Python :: 3",
          "License :: OSI Approved :: Apache Software License",
      ],
  )
  
subject: Bump required torch version; fixes DiffEqML/torchdyn#77