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8fa81a6066
Enables clang-tidy rule [`misc-use-internal-linkage`](https://clang.llvm.org/extra/clang-tidy/checks/misc/use-internal-linkage.html). This new check was introduced in Clang-Tidy 18 and is available due to recent update of Clang-Tidy 19. The check marks functions and variables used only in the translation unit as static. Therefore undesired symbols are not leaked into other units, more link time optimisations are possible and the resulting binaries may be smaller. The detected violations were mostly fixed by using static. In other cases, the symbols were indeed consumed by others files, then their declaring headers were included. Still some declarations were wrong and have been fixed. Pull Request resolved: https://github.com/pytorch/pytorch/pull/148948 Approved by: https://github.com/Skylion007
44 lines
1.3 KiB
C++
44 lines
1.3 KiB
C++
#include <torch/csrc/autograd/python_nested_functions.h>
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#include <torch/csrc/utils/nested.h>
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#include <torch/csrc/utils/pycfunction_helpers.h>
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#include <torch/csrc/utils/python_arg_parser.h>
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#include <torch/torch.h>
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namespace torch::autograd {
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static PyObject* THPVariable_nested_tensor(
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PyObject* /*self*/,
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PyObject* args,
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PyObject* kwargs) {
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HANDLE_TH_ERRORS
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static PythonArgParser parser({
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"nested_tensor(PyObject* data, *, ScalarType dtype=None, Device? device=None, bool pin_memory=False, bool requires_grad=False)",
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});
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constexpr int ctor_num_args = 5;
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ParsedArgs<ctor_num_args> parsed_args;
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auto r = parser.parse(args, kwargs, parsed_args);
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jit::tracer::warn(
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"torch.nested.nested_tensor", jit::tracer::WARN_CONSTRUCTOR);
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return THPVariable_Wrap(torch::utils::nested_tensor_ctor(
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torch::tensors::get_default_dispatch_key(),
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torch::tensors::get_default_scalar_type(),
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r));
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END_HANDLE_TH_ERRORS
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}
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-c-arrays,modernize-avoid-c-arrays)
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static PyMethodDef nested_functions_manual[] = {
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{"nested_tensor",
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castPyCFunctionWithKeywords(THPVariable_nested_tensor),
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METH_VARARGS | METH_KEYWORDS,
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nullptr},
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};
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PyMethodDef* get_nested_functions_manual() {
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return nested_functions_manual;
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}
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} // namespace torch::autograd
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