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chore(pre-commit): [pre-commit.ci] autoupdate #228

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9c869cb
chore(pre-commit): [pre-commit.ci] autoupdate
pre-commit-ci[bot] Mar 2, 2026
5e3c9dd
fix: [pre-commit.ci] auto fixes [...]
pre-commit-ci[bot] Mar 2, 2026
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1 change: 0 additions & 1 deletion .github/workflows/set_cibw_build.py
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Expand Up @@ -5,7 +5,6 @@
import os
import sys


# pylint: disable-next=consider-using-f-string
CIBW_BUILD = 'CIBW_BUILD=*cp%d%d-*manylinux*' % sys.version_info[:2]

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1 change: 0 additions & 1 deletion .github/workflows/set_release.py
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Expand Up @@ -5,7 +5,6 @@
import pathlib
import re


ROOT = pathlib.Path(__file__).absolute().parent.parent.parent

VERSION_FILE = ROOT / 'torchopt' / 'version.py'
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20 changes: 10 additions & 10 deletions .pre-commit-config.yaml
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Expand Up @@ -6,10 +6,10 @@ ci:
autofix_commit_msg: "fix: [pre-commit.ci] auto fixes [...]"
autoupdate_commit_msg: "chore(pre-commit): [pre-commit.ci] autoupdate"
autoupdate_schedule: monthly
default_stages: [commit, push, manual]
default_stages: [pre-commit, pre-push, manual]
repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.6.0
rev: v6.0.0
hooks:
- id: check-symlinks
- id: destroyed-symlinks
Expand All @@ -26,24 +26,24 @@ repos:
- id: debug-statements
- id: double-quote-string-fixer
- repo: https://github.com/pre-commit/mirrors-clang-format
rev: v18.1.8
rev: v22.1.0
hooks:
- id: clang-format
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.5.0
rev: v0.15.4
hooks:
- id: ruff
args: [--fix, --exit-non-zero-on-fix]
- repo: https://github.com/PyCQA/isort
rev: 5.13.2
rev: 8.0.1
hooks:
- id: isort
- repo: https://github.com/psf/black
rev: 24.4.2
- repo: https://github.com/psf/black-pre-commit-mirror
rev: 26.1.0
hooks:
- id: black-jupyter
- repo: https://github.com/asottile/pyupgrade
rev: v3.16.0
rev: v3.21.2
hooks:
- id: pyupgrade
args: [--py38-plus] # sync with requires-python
Expand All @@ -52,7 +52,7 @@ repos:
^examples/
)
- repo: https://github.com/pycqa/flake8
rev: 7.1.0
rev: 7.3.0
hooks:
- id: flake8
additional_dependencies:
Expand All @@ -68,7 +68,7 @@ repos:
^docs/source/conf.py$
)
- repo: https://github.com/codespell-project/codespell
rev: v2.3.0
rev: v2.4.1
hooks:
- id: codespell
additional_dependencies: [".[toml]"]
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2 changes: 1 addition & 1 deletion docs/source/conf.py
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Expand Up @@ -13,6 +13,7 @@
# limitations under the License.
# ==============================================================================
"""Configuration file for the Sphinx documentation builder."""

# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
Expand All @@ -33,7 +34,6 @@
import sphinx
import sphinxcontrib.katex as katex


HERE = pathlib.Path(__file__).absolute().parent
PROJECT_ROOT = HERE.parent.parent

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2 changes: 0 additions & 2 deletions examples/FuncTorch/maml_omniglot_vmap.py
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Expand Up @@ -57,13 +57,11 @@

import torchopt


CWD = pathlib(__file__).absolute().parent
sys.path.append(str(CWD.parent / 'few-shot'))

from helpers.omniglot_loaders import OmniglotNShot


mpl.use('Agg')
plt.style.use('bmh')

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1 change: 0 additions & 1 deletion examples/MAML-RL/func_maml.py
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Expand Up @@ -25,7 +25,6 @@
import torchopt
from helpers.policy import CategoricalMLPPolicy


TASK_NUM = 40
TRAJ_NUM = 20
TRAJ_LEN = 10
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1 change: 0 additions & 1 deletion examples/MAML-RL/helpers/__init__.py
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Expand Up @@ -18,7 +18,6 @@

from gym.envs.registration import register


register(
'TabularMDP-v0',
entry_point='helpers.tabular_mdp:TabularMDPEnv',
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1 change: 0 additions & 1 deletion examples/MAML-RL/maml.py
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Expand Up @@ -24,7 +24,6 @@
import torchopt
from helpers.policy import CategoricalMLPPolicy


TASK_NUM = 40
TRAJ_NUM = 20
TRAJ_LEN = 10
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1 change: 0 additions & 1 deletion examples/MAML-RL/maml_torchrl.py
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Expand Up @@ -25,7 +25,6 @@
import torchopt
from helpers.policy_torchrl import ActorCritic


TASK_NUM = 40
TRAJ_NUM = 20
TRAJ_LEN = 10
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1 change: 0 additions & 1 deletion examples/distributed/few-shot/maml_omniglot.py
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Expand Up @@ -58,7 +58,6 @@
import torchopt.distributed as todist
from helpers.omniglot_loaders import OmniglotNShot


mpl.use('Agg')
plt.style.use('bmh')

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1 change: 0 additions & 1 deletion examples/distributed/few-shot/maml_omniglot_local_loader.py
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Expand Up @@ -60,7 +60,6 @@
import torchopt.distributed as todist
from helpers.omniglot_loaders import OmniglotNShot


mpl.use('Agg')
plt.style.use('bmh')

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1 change: 0 additions & 1 deletion examples/few-shot/maml_omniglot.py
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Expand Up @@ -54,7 +54,6 @@
import torchopt
from helpers.omniglot_loaders import OmniglotNShot


mpl.use('Agg')
plt.style.use('bmh')

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1 change: 0 additions & 1 deletion examples/iMAML/imaml_omniglot.py
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Expand Up @@ -36,7 +36,6 @@
from helpers.omniglot_loaders import OmniglotNShot
from torchopt.diff.implicit import ImplicitMetaGradientModule


mpl.use('Agg')
plt.style.use('bmh')

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1 change: 0 additions & 1 deletion examples/iMAML/imaml_omniglot_functional.py
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Expand Up @@ -37,7 +37,6 @@
from helpers.omniglot_loaders import OmniglotNShot
from torchopt import pytree


mpl.use('Agg')
plt.style.use('bmh')

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40 changes: 20 additions & 20 deletions include/adam_op/adam_op.h
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Expand Up @@ -27,51 +27,51 @@ namespace py = pybind11;

namespace adam_op {

TensorArray<3> adamForwardInplace(const torch::Tensor &updates,
const torch::Tensor &mu,
const torch::Tensor &nu,
TensorArray<3> adamForwardInplace(const torch::Tensor& updates,
const torch::Tensor& mu,
const torch::Tensor& nu,
const pyfloat_t b1,
const pyfloat_t b2,
const pyfloat_t eps,
const pyfloat_t eps_root,
const pyuint_t count);

torch::Tensor adamForwardMu(const torch::Tensor &updates,
const torch::Tensor &mu,
torch::Tensor adamForwardMu(const torch::Tensor& updates,
const torch::Tensor& mu,
const pyfloat_t b1);

torch::Tensor adamForwardNu(const torch::Tensor &updates,
const torch::Tensor &nu,
torch::Tensor adamForwardNu(const torch::Tensor& updates,
const torch::Tensor& nu,
const pyfloat_t b2);

torch::Tensor adamForwardUpdates(const torch::Tensor &new_mu,
const torch::Tensor &new_nu,
torch::Tensor adamForwardUpdates(const torch::Tensor& new_mu,
const torch::Tensor& new_nu,
const pyfloat_t b1,
const pyfloat_t b2,
const pyfloat_t eps,
const pyfloat_t eps_root,
const pyuint_t count);

TensorArray<2> adamBackwardMu(const torch::Tensor &dmu,
const torch::Tensor &updates,
const torch::Tensor &mu,
TensorArray<2> adamBackwardMu(const torch::Tensor& dmu,
const torch::Tensor& updates,
const torch::Tensor& mu,
const pyfloat_t b1);

TensorArray<2> adamBackwardNu(const torch::Tensor &dnu,
const torch::Tensor &updates,
const torch::Tensor &nu,
TensorArray<2> adamBackwardNu(const torch::Tensor& dnu,
const torch::Tensor& updates,
const torch::Tensor& nu,
const pyfloat_t b2);

TensorArray<2> adamBackwardUpdates(const torch::Tensor &dupdates,
const torch::Tensor &updates,
const torch::Tensor &new_mu,
const torch::Tensor &new_nu,
TensorArray<2> adamBackwardUpdates(const torch::Tensor& dupdates,
const torch::Tensor& updates,
const torch::Tensor& new_mu,
const torch::Tensor& new_nu,
const pyfloat_t b1,
const pyfloat_t b2,
const pyfloat_t eps_root,
const pyuint_t count);

void buildSubmodule(py::module &mod); // NOLINT[runtime/references]
void buildSubmodule(py::module& mod); // NOLINT[runtime/references]

} // namespace adam_op
} // namespace torchopt
38 changes: 19 additions & 19 deletions include/adam_op/adam_op_impl_cpu.h
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Expand Up @@ -23,45 +23,45 @@

namespace torchopt {
namespace adam_op {
TensorArray<3> adamForwardInplaceCPU(const torch::Tensor &updates,
const torch::Tensor &mu,
const torch::Tensor &nu,
TensorArray<3> adamForwardInplaceCPU(const torch::Tensor& updates,
const torch::Tensor& mu,
const torch::Tensor& nu,
const pyfloat_t b1,
const pyfloat_t b2,
const pyfloat_t eps,
const pyfloat_t eps_root,
const pyuint_t count);

torch::Tensor adamForwardMuCPU(const torch::Tensor &updates,
const torch::Tensor &mu,
torch::Tensor adamForwardMuCPU(const torch::Tensor& updates,
const torch::Tensor& mu,
const pyfloat_t b1);

torch::Tensor adamForwardNuCPU(const torch::Tensor &updates,
const torch::Tensor &nu,
torch::Tensor adamForwardNuCPU(const torch::Tensor& updates,
const torch::Tensor& nu,
const pyfloat_t b2);

torch::Tensor adamForwardUpdatesCPU(const torch::Tensor &new_mu,
const torch::Tensor &new_nu,
torch::Tensor adamForwardUpdatesCPU(const torch::Tensor& new_mu,
const torch::Tensor& new_nu,
const pyfloat_t b1,
const pyfloat_t b2,
const pyfloat_t eps,
const pyfloat_t eps_root,
const pyuint_t count);

TensorArray<2> adamBackwardMuCPU(const torch::Tensor &dmu,
const torch::Tensor &updates,
const torch::Tensor &mu,
TensorArray<2> adamBackwardMuCPU(const torch::Tensor& dmu,
const torch::Tensor& updates,
const torch::Tensor& mu,
const pyfloat_t b1);

TensorArray<2> adamBackwardNuCPU(const torch::Tensor &dnu,
const torch::Tensor &updates,
const torch::Tensor &nu,
TensorArray<2> adamBackwardNuCPU(const torch::Tensor& dnu,
const torch::Tensor& updates,
const torch::Tensor& nu,
const pyfloat_t b2);

TensorArray<2> adamBackwardUpdatesCPU(const torch::Tensor &dupdates,
const torch::Tensor &updates,
const torch::Tensor &new_mu,
const torch::Tensor &new_nu,
TensorArray<2> adamBackwardUpdatesCPU(const torch::Tensor& dupdates,
const torch::Tensor& updates,
const torch::Tensor& new_mu,
const torch::Tensor& new_nu,
const pyfloat_t b1,
const pyfloat_t b2,
const pyfloat_t eps_root,
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38 changes: 19 additions & 19 deletions include/adam_op/adam_op_impl_cuda.cuh
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Expand Up @@ -23,45 +23,45 @@

namespace torchopt {
namespace adam_op {
TensorArray<3> adamForwardInplaceCUDA(const torch::Tensor &updates,
const torch::Tensor &mu,
const torch::Tensor &nu,
TensorArray<3> adamForwardInplaceCUDA(const torch::Tensor& updates,
const torch::Tensor& mu,
const torch::Tensor& nu,
const pyfloat_t b1,
const pyfloat_t b2,
const pyfloat_t eps,
const pyfloat_t eps_root,
const pyuint_t count);

torch::Tensor adamForwardMuCUDA(const torch::Tensor &updates,
const torch::Tensor &mu,
torch::Tensor adamForwardMuCUDA(const torch::Tensor& updates,
const torch::Tensor& mu,
const pyfloat_t b1);

torch::Tensor adamForwardNuCUDA(const torch::Tensor &updates,
const torch::Tensor &nu,
torch::Tensor adamForwardNuCUDA(const torch::Tensor& updates,
const torch::Tensor& nu,
const pyfloat_t b2);

torch::Tensor adamForwardUpdatesCUDA(const torch::Tensor &new_mu,
const torch::Tensor &new_nu,
torch::Tensor adamForwardUpdatesCUDA(const torch::Tensor& new_mu,
const torch::Tensor& new_nu,
const pyfloat_t b1,
const pyfloat_t b2,
const pyfloat_t eps,
const pyfloat_t eps_root,
const pyuint_t count);

TensorArray<2> adamBackwardMuCUDA(const torch::Tensor &dmu,
const torch::Tensor &updates,
const torch::Tensor &mu,
TensorArray<2> adamBackwardMuCUDA(const torch::Tensor& dmu,
const torch::Tensor& updates,
const torch::Tensor& mu,
const pyfloat_t b1);

TensorArray<2> adamBackwardNuCUDA(const torch::Tensor &dnu,
const torch::Tensor &updates,
const torch::Tensor &nu,
TensorArray<2> adamBackwardNuCUDA(const torch::Tensor& dnu,
const torch::Tensor& updates,
const torch::Tensor& nu,
const pyfloat_t b2);

TensorArray<2> adamBackwardUpdatesCUDA(const torch::Tensor &dupdates,
const torch::Tensor &updates,
const torch::Tensor &new_mu,
const torch::Tensor &new_nu,
TensorArray<2> adamBackwardUpdatesCUDA(const torch::Tensor& dupdates,
const torch::Tensor& updates,
const torch::Tensor& new_mu,
const torch::Tensor& new_nu,
const pyfloat_t b1,
const pyfloat_t b2,
const pyfloat_t eps_root,
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2 changes: 1 addition & 1 deletion include/utils.h
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Expand Up @@ -24,7 +24,7 @@
#endif

namespace torchopt {
__forceinline__ size_t getTensorPlainSize(const torch::Tensor &tensor) {
__forceinline__ size_t getTensorPlainSize(const torch::Tensor& tensor) {
const auto dim = tensor.dim();
size_t n = 1;
for (std::decay_t<decltype(dim)> i = 0; i < dim; ++i) {
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1 change: 0 additions & 1 deletion setup.py
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Expand Up @@ -11,7 +11,6 @@
from setuptools import Extension, setup
from setuptools.command.build_ext import build_ext


HERE = pathlib.Path(__file__).absolute().parent


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