ext: Updated Pybind11 to version 2.4.1.

This updates Pybind11 from version 2.2.1 to version 2.4.1. This fixes
warning/error received when "<experiment/optional>" is used when
compiling using c++14 with clang. It should be noted that
"ext/pybind11/include/pybind11/std.h" has been changed to include a fix
added by commit ba42457254. This is
necessary to avoid build errors.

Built: Linux (gcc, c++11) and MacOS (clang, c++14).
Tested: Ran quick tests for X86, ARM, and RISC-V.
Deprecates: https://gem5-review.googlesource.com/c/public/gem5/+/21019
Change-Id: Ie9783511cb6be50136076a55330e645f4f36d075
Reviewed-on: https://gem5-review.googlesource.com/c/public/gem5/+/21119
Reviewed-by: Jason Lowe-Power <jason@lowepower.com>
Reviewed-by: Andreas Sandberg <andreas.sandberg@arm.com>
Maintainer: Jason Lowe-Power <jason@lowepower.com>
Maintainer: Andreas Sandberg <andreas.sandberg@arm.com>
Tested-by: kokoro <noreply+kokoro@google.com>
This commit is contained in:
Bobby R. Bruce
2019-09-23 13:52:58 -07:00
parent 9235ae56c2
commit f97cf54db7
117 changed files with 4325 additions and 1141 deletions

View File

@@ -14,6 +14,67 @@
#include <cstdint>
// Size / dtype checks.
struct DtypeCheck {
py::dtype numpy{};
py::dtype pybind11{};
};
template <typename T>
DtypeCheck get_dtype_check(const char* name) {
py::module np = py::module::import("numpy");
DtypeCheck check{};
check.numpy = np.attr("dtype")(np.attr(name));
check.pybind11 = py::dtype::of<T>();
return check;
}
std::vector<DtypeCheck> get_concrete_dtype_checks() {
return {
// Normalization
get_dtype_check<std::int8_t>("int8"),
get_dtype_check<std::uint8_t>("uint8"),
get_dtype_check<std::int16_t>("int16"),
get_dtype_check<std::uint16_t>("uint16"),
get_dtype_check<std::int32_t>("int32"),
get_dtype_check<std::uint32_t>("uint32"),
get_dtype_check<std::int64_t>("int64"),
get_dtype_check<std::uint64_t>("uint64")
};
}
struct DtypeSizeCheck {
std::string name{};
int size_cpp{};
int size_numpy{};
// For debugging.
py::dtype dtype{};
};
template <typename T>
DtypeSizeCheck get_dtype_size_check() {
DtypeSizeCheck check{};
check.name = py::type_id<T>();
check.size_cpp = sizeof(T);
check.dtype = py::dtype::of<T>();
check.size_numpy = check.dtype.attr("itemsize").template cast<int>();
return check;
}
std::vector<DtypeSizeCheck> get_platform_dtype_size_checks() {
return {
get_dtype_size_check<short>(),
get_dtype_size_check<unsigned short>(),
get_dtype_size_check<int>(),
get_dtype_size_check<unsigned int>(),
get_dtype_size_check<long>(),
get_dtype_size_check<unsigned long>(),
get_dtype_size_check<long long>(),
get_dtype_size_check<unsigned long long>(),
};
}
// Arrays.
using arr = py::array;
using arr_t = py::array_t<uint16_t, 0>;
static_assert(std::is_same<arr_t::value_type, uint16_t>::value, "");
@@ -68,10 +129,33 @@ template <typename T, typename T2> py::handle auxiliaries(T &&r, T2 &&r2) {
return l.release();
}
// note: declaration at local scope would create a dangling reference!
static int data_i = 42;
TEST_SUBMODULE(numpy_array, sm) {
try { py::module::import("numpy"); }
catch (...) { return; }
// test_dtypes
py::class_<DtypeCheck>(sm, "DtypeCheck")
.def_readonly("numpy", &DtypeCheck::numpy)
.def_readonly("pybind11", &DtypeCheck::pybind11)
.def("__repr__", [](const DtypeCheck& self) {
return py::str("<DtypeCheck numpy={} pybind11={}>").format(
self.numpy, self.pybind11);
});
sm.def("get_concrete_dtype_checks", &get_concrete_dtype_checks);
py::class_<DtypeSizeCheck>(sm, "DtypeSizeCheck")
.def_readonly("name", &DtypeSizeCheck::name)
.def_readonly("size_cpp", &DtypeSizeCheck::size_cpp)
.def_readonly("size_numpy", &DtypeSizeCheck::size_numpy)
.def("__repr__", [](const DtypeSizeCheck& self) {
return py::str("<DtypeSizeCheck name='{}' size_cpp={} size_numpy={} dtype={}>").format(
self.name, self.size_cpp, self.size_numpy, self.dtype);
});
sm.def("get_platform_dtype_size_checks", &get_platform_dtype_size_checks);
// test_array_attributes
sm.def("ndim", [](const arr& a) { return a.ndim(); });
sm.def("shape", [](const arr& a) { return arr(a.ndim(), a.shape()); });
@@ -102,6 +186,11 @@ TEST_SUBMODULE(numpy_array, sm) {
sm.def("make_f_array", [] { return py::array_t<float>({ 2, 2 }, { 4, 8 }); });
sm.def("make_c_array", [] { return py::array_t<float>({ 2, 2 }, { 8, 4 }); });
// test_empty_shaped_array
sm.def("make_empty_shaped_array", [] { return py::array(py::dtype("f"), {}, {}); });
// test numpy scalars (empty shape, ndim==0)
sm.def("scalar_int", []() { return py::array(py::dtype("i"), {}, {}, &data_i); });
// test_wrap
sm.def("wrap", [](py::array a) {
return py::array(
@@ -292,4 +381,10 @@ TEST_SUBMODULE(numpy_array, sm) {
std::fill(a.mutable_data(), a.mutable_data() + a.size(), 42.);
return a;
});
#if PY_MAJOR_VERSION >= 3
sm.def("index_using_ellipsis", [](py::array a) {
return a[py::make_tuple(0, py::ellipsis(), 0)];
});
#endif
}