diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 054e1b5a..0df013a4 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -24,7 +24,7 @@ jobs: fail-fast: false matrix: os: [Ubuntu, macOS, Windows] - python-version: [3.8, 3.9] + python-version: ['3.9', '3.10', '3.11', '3.12'] steps: - name: Checkout diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 0b875acd..31ebcd82 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -14,7 +14,7 @@ repos: rev: v3.15.2 hooks: - id: pyupgrade - args: [--py36-plus] + args: [--py39-plus] - repo: https://github.com/PyCQA/isort rev: 5.13.2 diff --git a/README.md b/README.md index 76fb0973..b7d02a7a 100644 --- a/README.md +++ b/README.md @@ -28,7 +28,7 @@ Existing time series analysis libraries include [statsmodels](https://www.statsm ### Installation Requirements -TorchTS supports Python 3.8+ and has the following dependencies: +TorchTS supports Python 3.9+ and has the 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">=3.8,<3.10" -content-hash = "1654e4962215e7ff6e48e489cd5cb5e684de2944685bfa1936a1d48235089a0b" +python-versions = ">=3.9,<3.13" +content-hash = "7b97d7ab9ef543b09d0ee8bd870140725a4ca8a8d68efcb670b235d326c83760" diff --git a/pyproject.toml b/pyproject.toml index 700ecb37..db63b9a0 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -20,19 +20,19 @@ classifiers = [ ] [tool.poetry.dependencies] -python = ">=3.8,<3.10" -torch = "^1.4" -pytorch-lightning = "^1.2" -scipy = "^1.7.1" +python = ">=3.9,<3.13" +torch = "^2.2.2" +pytorch-lightning = "^2.2.3" +scipy = "^1.13.0" [tool.poetry.group.test.dependencies] -pytest = "^7.0.1" -pytest-cov = "^3.0.0" -pytest-mock = "^3.7.0" -pre-commit = "^2.17.0" +pytest = "^8.2.0" +pytest-cov = "^5.0.0" +pytest-mock = "^3.14.0" +pre-commit = "^3.7.0" [tool.poetry.group.docs.dependencies] -sphinx = "^4.4.0" +sphinx = "^7.3.7" asteroid-sphinx-theme = "^0.0.3" [build-system] diff --git a/tests/nn/test_ode.py b/tests/nn/test_ode.py index 59044d02..c210da12 100644 --- a/tests/nn/test_ode.py +++ b/tests/nn/test_ode.py @@ -90,7 +90,7 @@ def test_step_backward(euler_model): model, _ = euler_model loss = model._step(batch, 0, 0) assert (loss.item() - (1.2 - 1.1) ** 2) < 1e-6 - model.backward(loss, None, 0) + model.backward(loss) model.optimizer(model.parameters()).step() coeffs = model.get_coeffs() assert coeffs["alpha"] < 2 @@ -99,6 +99,7 @@ def test_step_backward(euler_model): def test_fit(euler_model): """Test the step and backward function""" torch.manual_seed(0) + torch.set_default_device("cpu") model, _ = euler_model model.fit(torch.Tensor([[1.0]]), torch.Tensor([[1.1]]), max_epochs=1, batch_size=1) coeffs = model.get_coeffs() diff --git a/tests/test_model.py b/tests/test_model.py index 54b5dd64..2984101d 100644 --- a/tests/test_model.py +++ b/tests/test_model.py @@ -59,6 +59,7 @@ def test_step(mocker): def test_train(): torch.manual_seed(0) + torch.set_default_device("cpu") slope_init = 2 intercept_init = -1 diff --git a/torchts/nn/models/ode.py b/torchts/nn/models/ode.py index 8e10ece0..9cdd2de3 100644 --- a/torchts/nn/models/ode.py +++ b/torchts/nn/models/ode.py @@ -162,6 +162,6 @@ def _step(self, batch, batch_idx, num_batches): loss = self.criterion(predictions, y) return loss - def backward(self, loss, optimizer, optimizer_idx): + def backward(self, loss): # use retain_graph=True to mitigate RuntimeError loss.backward(retain_graph=True)