test(workflows): enable tests on Windows

.github/workflows/tests.yml

@@ -102,7 +102,7 @@ jobs:
     timeout-minutes: 60
     strategy:
       matrix:
-        os: [ubuntu-latest, macos-latest] # jaxlib is not available on Windows
+        os: [ubuntu-latest, windows-latest, macos-latest]
       fail-fast: false
     steps:
       - name: Checkout

CHANGELOG.md

@@ -13,6 +13,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Added
 
+- Enable tests on Windows by [@XuehaiPan](https://github.com/XuehaiPan) in [#140](https://github.com/metaopt/torchopt/pull/140).
 - Add `ruff` and `flake8` plugins integration by [@XuehaiPan](https://github.com/XuehaiPan) in [#138](https://github.com/metaopt/torchopt/pull/138) and [#139](https://github.com/metaopt/torchopt/pull/139).
 
 ### Changed

pyproject.toml

@@ -89,9 +89,9 @@ test = [
     'pytest',
     'pytest-cov',
     'pytest-xdist',
-    'jax[cpu] >= 0.3',
-    'jaxopt',
-    'optax',
+    'jax[cpu] >= 0.3; platform_system != "Windows"',
+    'jaxopt; platform_system != "Windows"',
+    'optax; platform_system != "Windows"',
 ]
 
 [tool.setuptools.packages.find]

tests/requirements.txt

@@ -3,9 +3,9 @@ torch >= 1.13
 
 --requirement ../requirements.txt
 
-jax[cpu] >= 0.3
-jaxopt
-optax
+jax[cpu] >= 0.3; platform_system != 'Windows'
+jaxopt; platform_system != 'Windows'
+optax; platform_system != 'Windows'
 
 pytest
 pytest-cov

tests/test_implicit.py

@@ -20,11 +20,7 @@
 from types import FunctionType
 
 import functorch
-import jax
-import jax.numpy as jnp
-import jaxopt
 import numpy as np
-import optax
 import pytest
 import torch
 import torch.nn as nn
@@ -38,6 +34,18 @@
 from torchopt.diff.implicit import ImplicitMetaGradientModule
 
 
+try:
+    import jax
+    import jax.numpy as jnp
+    import jaxopt
+    import optax
+
+    HAS_JAX = True
+except ImportError:
+    jax = jnp = jaxopt = optax = None
+    HAS_JAX = False
+
+
 BATCH_SIZE = 8
 NUM_UPDATES = 3
 
@@ -108,6 +116,7 @@ def get_rr_dataset_torch() -> data.DataLoader:
     return loader
 
 
+@pytest.mark.skipif(not HAS_JAX, reason='JAX is not installed')
 @helpers.parametrize(
     dtype=[torch.float64, torch.float32],
     lr=[1e-3, 1e-4],
@@ -234,6 +243,7 @@ def outer_level(p, xs, ys):
     helpers.assert_pytree_all_close(params, jax_params_as_tensor)
 
 
+@pytest.mark.skipif(not HAS_JAX, reason='JAX is not installed')
 @helpers.parametrize(
     dtype=[torch.float64, torch.float32],
     lr=[1e-3, 1e-4],
@@ -361,6 +371,7 @@ def outer_level(p, xs, ys):
     helpers.assert_pytree_all_close(params, jax_params_as_tensor)
 
 
+@pytest.mark.skipif(not HAS_JAX, reason='JAX is not installed')
 @helpers.parametrize(
     dtype=[torch.float64, torch.float32],
     lr=[1e-3, 1e-4],
@@ -472,6 +483,7 @@ def outer_level(p, xs, ys):
     helpers.assert_pytree_all_close(tuple(model.parameters()), jax_params_as_tensor)
 
 
+@pytest.mark.skipif(not HAS_JAX, reason='JAX is not installed')
 @helpers.parametrize(
     dtype=[torch.float64, torch.float32],
     lr=[1e-3, 1e-4],
@@ -574,6 +586,7 @@ def outer_level(params_jax, l2reg_jax, xs, ys, xq, yq):
     helpers.assert_all_close(l2reg_torch, l2reg_jax_as_tensor)
 
 
+@pytest.mark.skipif(not HAS_JAX, reason='JAX is not installed')
 @helpers.parametrize(
     dtype=[torch.float64, torch.float32],
     lr=[1e-3, 1e-4],