mirror of
https://github.com/pybind/pybind11.git
synced 2024-11-14 17:43:53 +00:00
2e260b067f
* `container: silkeh/clang:18-bookworm` in .github/workflows/format.yml
* clang-tidy auto-fix (trivial, in test only)
* Disable `performance-enum-size` (noisy, low value)
* Temporarily turn off 3 diagnostics (to be tackled one-by-one).
* Add explicit `switch` `default` to resolve clang-tidy `bugprone-switch-missing-default-case`
Debian clang version 18.1.8 (++20240718080534+3b5b5c1ec4a3-1~exp1~20240718200641.143)
Target: x86_64-pc-linux-gnu
tests/test_numpy_dtypes.cpp:212:5: warning: switching on non-enum value without default case may not cover all cases [bugprone-switch-missing-default-case]
* Add clang-17 and clang-18 testing.
* Add `NOLINTNEXTLINE(clang-analyzer-optin.core.EnumCastOutOfRange)` in test_tagbased_polymorphic.cpp
Debian clang version 18.1.8 (++20240718080534+3b5b5c1ec4a3-1~exp1~20240718200641.143)
Target: x86_64-pc-linux-gnu
tests/test_tagbased_polymorphic.cpp:77:40: warning: The value '150' provided to the cast expression is not in the valid range of values for 'Kind' [clang-analyzer-optin.core.EnumCastOutOfRange]
* Fix inconsistent pybind11/eigen/tensor.h behavior:
This existing comment in pybind11/eigen/tensor.h
```
// move, take_ownership don't make any sense for a ref/map:
```
is at odds with the `delete src;` three lines up.
In real-world client code `take_ownership` will not exist (unless the client code is untested and unused). I.e. the `delete` is essentially only useful to avoid leaks in the pybind11 unit tests.
While upgrading to clang-tidy 18, the warning below appeared. Apparently it is produced during LTO, and it appears difficult to suppress. Regardless, the best way to resolve this is to remove the `delete` and to simply make the test objects `static` in the unit test code.
________
Debian clang version 18.1.8 (++20240718080534+3b5b5c1ec4a3-1~exp1~20240718200641.143)
Target: x86_64-pc-linux-gnu
________
```
lto-wrapper: warning: using serial compilation of 3 LTRANS jobs
lto-wrapper: note: see the ‘-flto’ option documentation for more information
In function ‘cast_impl’,
inlined from ‘cast’ at /mounted_pybind11/include/pybind11/eigen/tensor.h:414:25,
inlined from ‘operator()’ at /mounted_pybind11/include/pybind11/eigen/../pybind11.h:296:40,
inlined from ‘_FUN’ at /mounted_pybind11/include/pybind11/eigen/../pybind11.h:267:21:
/mounted_pybind11/include/pybind11/eigen/tensor.h:475:17: warning: ‘operator delete’ called on unallocated object ‘<anonymous>’ [-Wfree-nonheap-object]
475 | delete src;
| ^
/mounted_pybind11/include/pybind11/eigen/../pybind11.h: In function ‘_FUN’:
/mounted_pybind11/include/pybind11/eigen/../pybind11.h:297:75: note: declared here
297 | std::move(args_converter).template call<Return, Guard>(cap->f),
| ^
```
* Disable `bugprone-chained-comparison`: this clang-tidy check is incompatible with the Catch2 `REQUIRE` macro (26 warnings like the one below).
________
Debian clang version 18.1.8 (++20240718080534+3b5b5c1ec4a3-1~exp1~20240718200641.143)
Target: x86_64-pc-linux-gnu
________
```
/mounted_pybind11/tests/test_embed/test_interpreter.cpp:127:9: warning: chained comparison 'v0 <= v1 == v2' may generate unintended results, use parentheses to specify order of evaluation or a logical operator to separate comparison expressions [bugprone-chained-comparison]
127 | REQUIRE(ret == 42);
| ^
/build/tests/catch/catch.hpp:17670:24: note: expanded from macro 'REQUIRE'
17670 | #define REQUIRE( ... ) INTERNAL_CATCH_TEST( "REQUIRE", Catch::ResultDisposition::Normal, __VA_ARGS__ )
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/build/tests/catch/catch.hpp:2710:47: note: expanded from macro 'INTERNAL_CATCH_TEST'
2710 | catchAssertionHandler.handleExpr( Catch::Decomposer() <= __VA_ARGS__ ); \
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/mounted_pybind11/tests/test_embed/test_interpreter.cpp:127:9: note: operand 'v0' is here
127 | REQUIRE(ret == 42);
| ^
/build/tests/catch/catch.hpp:17670:24: note: expanded from macro 'REQUIRE'
17670 | #define REQUIRE( ... ) INTERNAL_CATCH_TEST( "REQUIRE", Catch::ResultDisposition::Normal, __VA_ARGS__ )
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/build/tests/catch/catch.hpp:2710:47: note: expanded from macro 'INTERNAL_CATCH_TEST'
2710 | catchAssertionHandler.handleExpr( Catch::Decomposer() <= __VA_ARGS__ ); \
| ^~~~~~~~~~~~~~~~~~~
/mounted_pybind11/tests/test_embed/test_interpreter.cpp:127:17: note: operand 'v1' is here
127 | REQUIRE(ret == 42);
| ^
/build/tests/catch/catch.hpp:17670:90: note: expanded from macro 'REQUIRE'
17670 | #define REQUIRE( ... ) INTERNAL_CATCH_TEST( "REQUIRE", Catch::ResultDisposition::Normal, __VA_ARGS__ )
| ^~~~~~~~~~~
/build/tests/catch/catch.hpp:2710:70: note: expanded from macro 'INTERNAL_CATCH_TEST'
2710 | catchAssertionHandler.handleExpr( Catch::Decomposer() <= __VA_ARGS__ ); \
| ^~~~~~~~~~~
/mounted_pybind11/tests/test_embed/test_interpreter.cpp:127:24: note: operand 'v2' is here
127 | REQUIRE(ret == 42);
| ^
/build/tests/catch/catch.hpp:17670:90: note: expanded from macro 'REQUIRE'
17670 | #define REQUIRE( ... ) INTERNAL_CATCH_TEST( "REQUIRE", Catch::ResultDisposition::Normal, __VA_ARGS__ )
| ^~~~~~~~~~~
/build/tests/catch/catch.hpp:2710:70: note: expanded from macro 'INTERNAL_CATCH_TEST'
2710 | catchAssertionHandler.handleExpr( Catch::Decomposer() <= __VA_ARGS__ ); \
| ^~~~~~~~~~~
```
* Add 8 `// NOLINT(bugprone-empty-catch)`
* Resolve clang-tidy `bugprone-multi-level-implicit-pointer-conversion` warnings.
________
Debian clang version 18.1.8 (++20240718080534+3b5b5c1ec4a3-1~exp1~20240718200641.143)
Target: x86_64-pc-linux-gnu
________
```
pybind11/detail/internals.h:556:53: warning: multilevel pointer conversion from 'internals **' to 'const void *', please use explicit cast [bugprone-multi-level-implicit-pointer-conversion]
pybind11/detail/type_caster_base.h:431:20: warning: multilevel pointer conversion from 'void **' to 'void *', please use explicit cast [bugprone-multi-level-implicit-pointer-conversion]
pybind11/numpy.h:904:81: warning: multilevel pointer conversion from '_object *const *' to 'const void *', please use explicit cast [bugprone-multi-level-implicit-pointer-conversion]
pybind11/numpy.h:1989:39: warning: multilevel pointer conversion from 'typename vectorize_arg<const double *>::type *' (aka 'const double **') to 'void *', please use explicit cast [bugprone-multi-level-implicit-pointer-conversion]
pybind11/numpy.h:1989:39: warning: multilevel pointer conversion from 'typename vectorize_arg<const VectorizeTestClass *>::type *' (aka 'const VectorizeTestClass **') to 'void *', please use explicit cast [bugprone-multi-level-implicit-pointer-conversion]
pybind11/stl/filesystem.h:75:44: warning: multilevel pointer conversion from 'PyObject **' (aka '_object **') to 'void *', please use explicit cast [bugprone-multi-level-implicit-pointer-conversion]
pybind11/stl/filesystem.h:83:42: warning: multilevel pointer conversion from 'PyObject **' (aka '_object **') to 'void *', please use explicit cast [bugprone-multi-level-implicit-pointer-conversion]
```
* Introduce `PYBIND11_REINTERPRET_CAST_VOID_PTR_IF_NOT_PYPY` to resolve PyPy build errors:
```
In file included from /Users/runner/work/pybind11/pybind11/tests/test_stl.cpp:18:
/Users/runner/work/pybind11/pybind11/include/pybind11/stl/filesystem.h:75:17: error: no matching function for call to 'PyPyUnicode_FSConverter'
if (PyUnicode_FSConverter(buf, reinterpret_cast<void *>(&native)) != 0) {
^~~~~~~~~~~~~~~~~~~~~
/Users/runner/hostedtoolcache/PyPy/3.10.14/x64/include/pypy3.10/pypy_decl.h:969:31: note: expanded from macro 'PyUnicode_FSConverter'
^~~~~~~~~~~~~~~~~~~~~~~
/Users/runner/hostedtoolcache/PyPy/3.10.14/x64/include/pypy3.10/pypy_decl.h:970:17: note: candidate function not viable: cannot convert argument of incomplete type 'void *' to 'struct _object **' for 2nd argument
PyAPI_FUNC(int) PyUnicode_FSConverter(struct _object *arg0, struct _object **arg1);
^
/Users/runner/hostedtoolcache/PyPy/3.10.14/x64/include/pypy3.10/pypy_decl.h:969:31: note: expanded from macro 'PyUnicode_FSConverter'
^
In file included from /Users/runner/work/pybind11/pybind11/tests/test_stl.cpp:18:
/Users/runner/work/pybind11/pybind11/include/pybind11/stl/filesystem.h:83:17: error: no matching function for call to 'PyPyUnicode_FSDecoder'
if (PyUnicode_FSDecoder(buf, reinterpret_cast<void *>(&native)) != 0) {
^~~~~~~~~~~~~~~~~~~
/Users/runner/hostedtoolcache/PyPy/3.10.14/x64/include/pypy3.10/pypy_decl.h:971:29: note: expanded from macro 'PyUnicode_FSDecoder'
^~~~~~~~~~~~~~~~~~~~~
/Users/runner/hostedtoolcache/PyPy/3.10.14/x64/include/pypy3.10/pypy_decl.h:972:17: note: candidate function not viable: cannot convert argument of incomplete type 'void *' to 'struct _object **' for 2nd argument
PyAPI_FUNC(int) PyUnicode_FSDecoder(struct _object *arg0, struct _object **arg1);
^
/Users/runner/hostedtoolcache/PyPy/3.10.14/x64/include/pypy3.10/pypy_decl.h:971:29: note: expanded from macro 'PyUnicode_FSDecoder'
^
```
* clang-tidy auto-fix
* Fix silly oversight.
339 lines
11 KiB
C++
339 lines
11 KiB
C++
/*
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tests/eigen_tensor.cpp -- automatic conversion of Eigen Tensor
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All rights reserved. Use of this source code is governed by a
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BSD-style license that can be found in the LICENSE file.
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*/
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#include <pybind11/eigen/tensor.h>
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PYBIND11_NAMESPACE_BEGIN(eigen_tensor_test)
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namespace py = pybind11;
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PYBIND11_WARNING_DISABLE_MSVC(4127)
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template <typename M>
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void reset_tensor(M &x) {
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for (int i = 0; i < x.dimension(0); i++) {
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for (int j = 0; j < x.dimension(1); j++) {
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for (int k = 0; k < x.dimension(2); k++) {
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x(i, j, k) = i * (5 * 2) + j * 2 + k;
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}
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}
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}
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}
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template <typename M>
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bool check_tensor(M &x) {
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for (int i = 0; i < x.dimension(0); i++) {
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for (int j = 0; j < x.dimension(1); j++) {
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for (int k = 0; k < x.dimension(2); k++) {
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if (x(i, j, k) != (i * (5 * 2) + j * 2 + k)) {
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return false;
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}
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}
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}
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}
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return true;
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}
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template <int Options>
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Eigen::Tensor<double, 3, Options> &get_tensor() {
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static Eigen::Tensor<double, 3, Options> *x;
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if (!x) {
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x = new Eigen::Tensor<double, 3, Options>(3, 5, 2);
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reset_tensor(*x);
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}
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return *x;
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}
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template <int Options>
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Eigen::TensorMap<Eigen::Tensor<double, 3, Options>> &get_tensor_map() {
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static Eigen::TensorMap<Eigen::Tensor<double, 3, Options>> *x;
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if (!x) {
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x = new Eigen::TensorMap<Eigen::Tensor<double, 3, Options>>(get_tensor<Options>());
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}
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return *x;
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}
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template <int Options>
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Eigen::TensorFixedSize<double, Eigen::Sizes<3, 5, 2>, Options> &get_fixed_tensor() {
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static Eigen::TensorFixedSize<double, Eigen::Sizes<3, 5, 2>, Options> *x;
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if (!x) {
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Eigen::aligned_allocator<Eigen::TensorFixedSize<double, Eigen::Sizes<3, 5, 2>, Options>>
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allocator;
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x = new (allocator.allocate(1))
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Eigen::TensorFixedSize<double, Eigen::Sizes<3, 5, 2>, Options>();
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reset_tensor(*x);
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}
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return *x;
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}
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template <int Options>
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const Eigen::Tensor<double, 3, Options> &get_const_tensor() {
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return get_tensor<Options>();
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}
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template <int Options>
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struct CustomExample {
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CustomExample() : member(get_tensor<Options>()), view_member(member) {}
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Eigen::Tensor<double, 3, Options> member;
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Eigen::TensorMap<Eigen::Tensor<double, 3, Options>> view_member;
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};
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template <int Options>
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void init_tensor_module(pybind11::module &m) {
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const char *needed_options = "";
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if (Options == Eigen::ColMajor) {
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needed_options = "F";
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} else {
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needed_options = "C";
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}
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m.attr("needed_options") = needed_options;
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m.def("setup", []() {
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reset_tensor(get_tensor<Options>());
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reset_tensor(get_fixed_tensor<Options>());
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});
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m.def("is_ok", []() {
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return check_tensor(get_tensor<Options>()) && check_tensor(get_fixed_tensor<Options>());
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});
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py::class_<CustomExample<Options>>(m, "CustomExample", py::module_local())
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.def(py::init<>())
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.def_readonly(
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"member", &CustomExample<Options>::member, py::return_value_policy::reference_internal)
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.def_readonly("member_view",
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&CustomExample<Options>::view_member,
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py::return_value_policy::reference_internal);
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m.def(
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"copy_fixed_tensor",
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[]() { return &get_fixed_tensor<Options>(); },
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py::return_value_policy::copy);
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m.def("copy_tensor", []() { return &get_tensor<Options>(); }, py::return_value_policy::copy);
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m.def(
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"copy_const_tensor",
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[]() { return &get_const_tensor<Options>(); },
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py::return_value_policy::copy);
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m.def(
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"move_fixed_tensor_copy",
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[]() -> Eigen::TensorFixedSize<double, Eigen::Sizes<3, 5, 2>, Options> {
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return get_fixed_tensor<Options>();
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},
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py::return_value_policy::move);
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m.def(
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"move_tensor_copy",
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[]() -> Eigen::Tensor<double, 3, Options> { return get_tensor<Options>(); },
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py::return_value_policy::move);
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m.def(
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"move_const_tensor",
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[]() -> const Eigen::Tensor<double, 3, Options> & { return get_const_tensor<Options>(); },
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py::return_value_policy::move);
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m.def(
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"take_fixed_tensor",
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[]() {
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Eigen::aligned_allocator<
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Eigen::TensorFixedSize<double, Eigen::Sizes<3, 5, 2>, Options>>
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allocator;
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static auto *obj = new (allocator.allocate(1))
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Eigen::TensorFixedSize<double, Eigen::Sizes<3, 5, 2>, Options>(
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get_fixed_tensor<Options>());
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return obj; // take_ownership will fail.
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},
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py::return_value_policy::take_ownership);
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m.def(
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"take_tensor",
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[]() {
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static auto *obj = new Eigen::Tensor<double, 3, Options>(get_tensor<Options>());
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return obj; // take_ownership will fail.
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},
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py::return_value_policy::take_ownership);
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m.def(
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"take_const_tensor",
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[]() -> const Eigen::Tensor<double, 3, Options> * {
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static auto *obj = new Eigen::Tensor<double, 3, Options>(get_tensor<Options>());
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return obj; // take_ownership will fail.
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},
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py::return_value_policy::take_ownership);
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m.def(
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"take_view_tensor",
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[]() -> const Eigen::TensorMap<Eigen::Tensor<double, 3, Options>> * {
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static auto *obj
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= new Eigen::TensorMap<Eigen::Tensor<double, 3, Options>>(get_tensor<Options>());
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return obj; // take_ownership will fail.
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},
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py::return_value_policy::take_ownership);
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m.def(
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"reference_tensor",
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[]() { return &get_tensor<Options>(); },
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py::return_value_policy::reference);
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m.def(
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"reference_tensor_v2",
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[]() -> Eigen::Tensor<double, 3, Options> & { return get_tensor<Options>(); },
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py::return_value_policy::reference);
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m.def(
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"reference_tensor_internal",
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[]() { return &get_tensor<Options>(); },
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py::return_value_policy::reference_internal);
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m.def(
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"reference_fixed_tensor",
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[]() { return &get_tensor<Options>(); },
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py::return_value_policy::reference);
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m.def(
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"reference_const_tensor",
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[]() { return &get_const_tensor<Options>(); },
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py::return_value_policy::reference);
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m.def(
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"reference_const_tensor_v2",
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[]() -> const Eigen::Tensor<double, 3, Options> & { return get_const_tensor<Options>(); },
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py::return_value_policy::reference);
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m.def(
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"reference_view_of_tensor",
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[]() -> Eigen::TensorMap<Eigen::Tensor<double, 3, Options>> {
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return get_tensor_map<Options>();
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},
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py::return_value_policy::reference);
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m.def(
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"reference_view_of_tensor_v2",
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// NOLINTNEXTLINE(readability-const-return-type)
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[]() -> const Eigen::TensorMap<Eigen::Tensor<double, 3, Options>> {
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return get_tensor_map<Options>(); // NOLINT(readability-const-return-type)
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}, // NOLINT(readability-const-return-type)
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py::return_value_policy::reference);
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m.def(
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"reference_view_of_tensor_v3",
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[]() -> Eigen::TensorMap<Eigen::Tensor<double, 3, Options>> * {
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return &get_tensor_map<Options>();
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},
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py::return_value_policy::reference);
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m.def(
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"reference_view_of_tensor_v4",
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[]() -> const Eigen::TensorMap<Eigen::Tensor<double, 3, Options>> * {
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return &get_tensor_map<Options>();
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},
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py::return_value_policy::reference);
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m.def(
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"reference_view_of_tensor_v5",
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[]() -> Eigen::TensorMap<Eigen::Tensor<double, 3, Options>> & {
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return get_tensor_map<Options>();
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},
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py::return_value_policy::reference);
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m.def(
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"reference_view_of_tensor_v6",
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[]() -> const Eigen::TensorMap<Eigen::Tensor<double, 3, Options>> & {
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return get_tensor_map<Options>();
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},
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py::return_value_policy::reference);
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m.def(
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"reference_view_of_fixed_tensor",
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[]() {
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return Eigen::TensorMap<
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Eigen::TensorFixedSize<double, Eigen::Sizes<3, 5, 2>, Options>>(
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get_fixed_tensor<Options>());
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},
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py::return_value_policy::reference);
|
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m.def("round_trip_tensor",
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[](const Eigen::Tensor<double, 3, Options> &tensor) { return tensor; });
|
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m.def(
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"round_trip_tensor_noconvert",
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[](const Eigen::Tensor<double, 3, Options> &tensor) { return tensor; },
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py::arg("tensor").noconvert());
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m.def("round_trip_tensor2",
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[](const Eigen::Tensor<int32_t, 3, Options> &tensor) { return tensor; });
|
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m.def("round_trip_fixed_tensor",
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[](const Eigen::TensorFixedSize<double, Eigen::Sizes<3, 5, 2>, Options> &tensor) {
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return tensor;
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});
|
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|
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m.def(
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"round_trip_view_tensor",
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[](Eigen::TensorMap<Eigen::Tensor<double, 3, Options>> view) { return view; },
|
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py::return_value_policy::reference);
|
|
|
|
m.def(
|
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"round_trip_view_tensor_ref",
|
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[](Eigen::TensorMap<Eigen::Tensor<double, 3, Options>> &view) { return view; },
|
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py::return_value_policy::reference);
|
|
|
|
m.def(
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"round_trip_view_tensor_ptr",
|
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[](Eigen::TensorMap<Eigen::Tensor<double, 3, Options>> *view) { return view; },
|
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py::return_value_policy::reference);
|
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|
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m.def(
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"round_trip_aligned_view_tensor",
|
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[](Eigen::TensorMap<Eigen::Tensor<double, 3, Options>, Eigen::Aligned> view) {
|
|
return view;
|
|
},
|
|
py::return_value_policy::reference);
|
|
|
|
m.def(
|
|
"round_trip_const_view_tensor",
|
|
[](Eigen::TensorMap<const Eigen::Tensor<double, 3, Options>> view) {
|
|
return Eigen::Tensor<double, 3, Options>(view);
|
|
},
|
|
py::return_value_policy::move);
|
|
|
|
m.def(
|
|
"round_trip_rank_0",
|
|
[](const Eigen::Tensor<double, 0, Options> &tensor) { return tensor; },
|
|
py::return_value_policy::move);
|
|
|
|
m.def(
|
|
"round_trip_rank_0_noconvert",
|
|
[](const Eigen::Tensor<double, 0, Options> &tensor) { return tensor; },
|
|
py::arg("tensor").noconvert(),
|
|
py::return_value_policy::move);
|
|
|
|
m.def(
|
|
"round_trip_rank_0_view",
|
|
[](Eigen::TensorMap<Eigen::Tensor<double, 0, Options>> &tensor) { return tensor; },
|
|
py::return_value_policy::reference);
|
|
}
|
|
|
|
void test_module(py::module_ &m) {
|
|
auto f_style = m.def_submodule("f_style");
|
|
auto c_style = m.def_submodule("c_style");
|
|
|
|
init_tensor_module<Eigen::ColMajor>(f_style);
|
|
init_tensor_module<Eigen::RowMajor>(c_style);
|
|
}
|
|
|
|
PYBIND11_NAMESPACE_END(eigen_tensor_test)
|