Merge pull request #201 from atong01/torch-2.0

Torch 2.0 Compatibility

.github/workflows/os-coverage.yml

@@ -9,7 +9,30 @@ jobs:
       max-parallel: 15
       matrix:
         os: [ubuntu-latest, macos-latest, windows-latest]
-        python-version: ['3.8', '3.9', '3.10', '3.11']
+        python-version: ["3.8", "3.9", "3.10", "3.11"]
+        torch-version: ["1.8.1", "1.9.1", "1.10.0", "1.11.0", "1.12.0", "1.13.1", "2.0.0"]
+        exclude:
+          # python >= 3.10 does not support pytorch < 1.11.0
+          - torch-version: "1.8.1"
+            python-version: "3.10"
+          - torch-version: "1.9.1"
+            python-version: "3.10"
+          - torch-version: "1.10.0"
+            python-version: "3.10"
+          # python >= 3.11 does not support pytorch < 1.13.0
+          - torch-version: "1.8.1"
+            python-version: "3.11"
+          - torch-version: "1.9.1"
+            python-version: "3.11"
+          - torch-version: "1.10.0"
+            python-version: "3.11"
+          - torch-version: "1.11.0"
+            python-version: "3.11"
+          - torch-version: "1.12.0"
+            python-version: "3.11"
+          - torch-version: "1.13.1"
+            python-version: "3.11"
+
     defaults:
       run:
         shell: bash
@@ -33,14 +56,18 @@ jobs:
       uses: actions/cache@v3
       with:
         path: ~/.cache
-        key: venv-${{ runner.os }}-${{ steps.setup-python.outputs.python-version }}-${{ hashFiles('**/poetry.lock') }}
+        key: venv-${{ runner.os }}-${{ matrix.python-version }}-${{ matrix.torch-version }}-${{ hashFiles('**/poetry.lock') }}
 
     - name: Install dependencies # hack for 🐛: don't let poetry try installing Torch https://github.com/pytorch/pytorch/issues/88049
       run: |
         pip install pytest pytest-cov papermill poethepoet>=0.10.0
-        pip install torch>=1.8.1 torchvision pytorch-lightning scikit-learn torchsde torchcde>=0.2.3 scipy matplotlib ipykernel ipywidgets 
+        pip install torch==${{ matrix.torch-version }} pytorch-lightning scikit-learn torchsde torchcde>=0.2.3 scipy matplotlib ipykernel ipywidgets 
         poetry install --only-root
         poetry run pip install setuptools
+
+    - name: List dependencies
+      run: | 
+        pip list
     
     - name: Run pytest checks
       run: |

pyproject.toml

@@ -10,7 +10,7 @@ packages = [
 
 [tool.poetry.dependencies]
 python = "^3.8"
-torch = "^1.8.1"
+torch = ">=1.8.1"
 torchsde="*"
 torchcde="^0.2.3"
 scikit-learn = "*"

setup.py

@@ -20,7 +20,7 @@
     description="PyTorch package for all things neural differential equations.",
     url="https://github.com/DiffEqML/torchdyn",
     install_requires=[
-        "torch>=1.6.0",
+        "torch>=1.8.1",
         "pytorch-lightning>=0.8.4",
         "matplotlib",
         "scikit-learn",

test/models/test_ode.py

@@ -10,6 +10,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+from packaging.version import parse
 import pytest
 import torch
 import torch.nn as nn
@@ -261,6 +262,8 @@ def forward(self, t, x, u, v, z, args={}):
     grad(sol2.sum(), x0)
 
 
+@pytest.mark.skipif(parse(torch.__version__) < parse("1.11.0"),
+        reason="adjoint support added in torch 1.11.0")
 def test_complex_ode():
     """Test odeint for complex numbers with a simple complex-valued ODE, corresponding
     to Rabi oscillations of quantum two-level system."""
@@ -312,4 +315,4 @@ def test_odeint(solver):
     t_span = torch.linspace(0., 2., 10)
     sys = Lorenz()
 
-    odeint(sys, x0, t_span, solver=solver)
+    odeint(sys, x0, t_span, solver=solver)

torchdyn/__init__.py

@@ -10,11 +10,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__ = '1.0'
+__version__ = '1.0.5'
 __author__  = 'Michael Poli, Stefano Massaroli et al.'
 
 from torch import Tensor
 from typing import Tuple
 
 TTuple = Tuple[Tensor, Tensor]
-