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

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chore(pre-commit): [pre-commit.ci] autoupdate
pre-commit-ci[bot] Oct 6, 2025
5babbf7
fix: [pre-commit.ci] auto fixes [...]
pre-commit-ci[bot] Oct 6, 2025
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20 changes: 10 additions & 10 deletions .pre-commit-config.yaml
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Original file line number Diff line number Diff line change
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: v21.1.2
hooks:
- id: clang-format
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.5.0
rev: v0.13.3
hooks:
- id: ruff
args: [--fix, --exit-non-zero-on-fix]
- repo: https://github.com/PyCQA/isort
rev: 5.13.2
rev: 6.1.0
hooks:
- id: isort
- repo: https://github.com/psf/black
rev: 24.4.2
- repo: https://github.com/psf/black-pre-commit-mirror
rev: 25.9.0
hooks:
- id: black-jupyter
- repo: https://github.com/asottile/pyupgrade
rev: v3.16.0
rev: v3.20.0
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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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,
Expand Down
38 changes: 19 additions & 19 deletions include/adam_op/adam_op_impl_cuda.cuh
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Original file line number Diff line number Diff line change
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,
Expand Down
2 changes: 1 addition & 1 deletion include/utils.h
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Original file line number Diff line number Diff line change
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) {
Expand Down
40 changes: 20 additions & 20 deletions src/adam_op/adam_op.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -29,9 +29,9 @@ 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,
Expand All @@ -49,8 +49,8 @@ TensorArray<3> adamForwardInplace(const torch::Tensor &updates,
}
}

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) {
#if defined(__USE_CUDA__)
if (updates.device().is_cuda()) {
Expand All @@ -64,8 +64,8 @@ torch::Tensor adamForwardMu(const torch::Tensor &updates,
}
}

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) {
#if defined(__USE_CUDA__)
if (updates.device().is_cuda()) {
Expand All @@ -79,8 +79,8 @@ torch::Tensor adamForwardNu(const torch::Tensor &updates,
}
}

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,
Expand All @@ -98,9 +98,9 @@ torch::Tensor adamForwardUpdates(const torch::Tensor &new_mu,
}
}

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) {
#if defined(__USE_CUDA__)
if (dmu.device().is_cuda()) {
Expand All @@ -114,9 +114,9 @@ TensorArray<2> adamBackwardMu(const torch::Tensor &dmu,
}
}

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) {
#if defined(__USE_CUDA__)
if (dnu.device().is_cuda()) {
Expand All @@ -130,10 +130,10 @@ TensorArray<2> adamBackwardNu(const torch::Tensor &dnu,
}
}

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,
Expand All @@ -152,7 +152,7 @@ TensorArray<2> adamBackwardUpdates(const torch::Tensor &dupdates,
}
}

void buildSubmodule(py::module &mod) { // NOLINT[runtime/references]
void buildSubmodule(py::module& mod) { // NOLINT[runtime/references]
py::module m = mod.def_submodule("adam_op", "Adam Ops");
m.def("forward_",
&adamForwardInplace,
Expand Down
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