* First draft of Eigen::Tensor support
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* Fix build errors
* Weird allocator stuff?
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* Remove unused + additional allocator junk
* Disable warning
* Use constexpr
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* clang tidy fixes
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* Resolve comments
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* Remove auto constexpr function
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* Try again for older C++
* Oops forgot constexpr
* Move to new files as suggested
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* Fix weird tests
* Fix nits
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* Oops, forgot import
* Fix clang 3.6 bug
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* More comprehensive test suite
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* Refactor allocators to make things more clear
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* Switch to std::copy
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* Switch to DSizes instead of array
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* Address feedback
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* Fix python + dummy c++ change to trigger build
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* Alignment
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* Add include guard
* Forgot inline
* Fix compiler warning
* Remove bad test
* Better type signatures
* Add guards to make compiler requirements more explicit
* style: pre-commit fixes
* Force rerun of tests due to flake
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* Keep pragmas & all related comments together, add PLEASE KEEP IN SYNC
* Move headers out of detail
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* Fix cmake
* Improve casting
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* Add a ton more tests + refactor
* Improve names
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* Update include/pybind11/eigen/tensor.h
Co-authored-by: Aaron Gokaslan <skylion.aaron@gmail.com>
* Fix tests
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* Update
* Add a test to verify that strange numpy arrays work
* Fix dumb compiler warning
* Better tests
* Better tests
* Fix tests
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* More test fixes
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* A ton more test coverage
* Fix tests
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* Add back constexpr
* Another test
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* Improve tests
* Whoops
* Less magic numbers
* Update tests/test_eigen_tensor.py
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* Update tests/test_eigen_tensor.py
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* style: pre-commit fixes
* Fix tests
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* Fix memory leak
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* Fix order
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* Add test to make sure unsafe casts fail
* Minor bug fix to work on 32 bit machines
* Implement convert flag
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* Switch to correct TensorMap const use
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* Support older versions of eigen
* Weird c++ compilers
* Fix Eigen bug
* Fix another eigen bug
* Yet another eigen bug
* Potential flakes?
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* Rerun tests with dummy exception to find out what is going on
* Another dummy test run
* Ablate more
* Found the broken test?
* One step closer
* one step further
* Double check
* one thing at a time
* Give up and disable the test
* Clang lies about being gcc
* Oops, fix matrix test
* style: pre-commit fixes
* Add tests to verify scalar conversions
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* Fix nits
* Support no_array
* Fix tests
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* Silence compiler warning
* Improve build system for ancient compilers
* Make clang happy
* Make gcc happy
* Implement Skylion's suggestions
* Fix warning
* Inline const pointer check
* Implement suggestions
* style: pre-commit fixes
* Improve tests
* Typo
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* Support Google's build environment
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* Update include/pybind11/eigen/tensor.h
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* style: pre-commit fixes
* Test cleanup per Skylion
* Switch to remvove_cv_t
* Cleaner test
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* Remove tensor from eigen.h, update tests
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* Add `-DPYBIND11_WERROR=ON` to mingw cmake commands (and `-DCMAKE_VERBOSE_MAKEFILE:BOOL=ON`).
* Using no-destructor idiom to side-step overzealous MINGW warning.
* Add __MINGW32__ pragma GCC diagnostic ignored in eigen.h
* Add another no-destructor workaround.
* Temporarily add -k (keep-going) flags to hopefully speed up finding all warnings.
* Revert "Temporarily add -k (keep-going) flags to hopefully speed up finding all warnings."
This reverts commit f36b0af8f9.
* Very minor shuffle to avoid MSVC warnings.
* Remove all `:BOOL` as suggested by @henryiii
When converting an array to an Eigen matrix, ignore the strides if any
dimension size is 0. If the array is empty, the strides aren't relevant,
and especially numpy ≥ 1.23 explicitly sets the strides to 0 in this
case. (See numpy commit dd5ab7b11520.)
Update tests to verify that this works, and continues to work.
* Replace usage of deprecated Eigen class
Eigen::MappedSparseMatrix has been deprecated since Eigen 3.3 from 2016. Use the equivalent modern syntax Eigen::Map<Eigen::SparseMatrix<...>>.
* Update eigen.h
* Update eigen.h
* fix compiler warning: deprecated implicit copy constructor
* take care of the bug http://eigen.tuxfamily.org/bz/show_bug.cgi?id=747
* add parenthesis for better reading
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* Update include/pybind11/eigen.h
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* Adding MSVC C4127 suppression around Eigen includes.
* For MSVC 2015 only: also adding the C4127 suppression to test_eigen.cpp
* Copying original change from PR #3343, with extra line breaks to not run past 99 columns (our desired but currently not enforced limit).
* Removing all pragma from eigen.h
* Removing -Werror or equivalent from tests/CMakeLists.txt
* Restoring tests/CMakeLists.txt from master.
* Adding 4 PYBIND11_SILENCE_MSVC_C4127.
* Compatibility with -Wconversion, -Wdeprecated
* Introducing PYBIND11_COMPATIBILITY_WDEPRECATED_COPY
* Systematically using --verbose for compilations where possible (cmake 3.14 or newer).
Also changing all `cmake -t` to `--target`, `-v` to `--verbose`, `check` to `pytest`, for consistency (to make it easier to pin-point all commands of a certain type).
Also removing one `-j 2` for `pytest` in hopes of reducing flakes due to races in test_iostream and in prints from destructors.
* Commenting out pragmas as an experiment to reproduce previous observation.
* Removing all (newly added, but already commented-out) pragma code, adding HINT use -isystem (as cmake does).
* Restoring ci.yml from master. Those changes are better handled separately. BTW: in the last CI run there was still a test_iostream flake, even without the -j 2 for running the tests (verfied by inspecting the log).
* Change NAMESPACE_BEGIN and NAMESPACE_END macros into PYBIND11_NAMESPACE_BEGIN and PYBIND11_NAMESPACE_END
* Fix sudden HomeBrew 'python not installed' error
* Sweep difference in 'Class.__init__() must be called when overriding __init__' error message between CPython and PyPy under the rug
* Homebrew updated to 3.8 yesterday.
Co-authored-by: Henry Schreiner <HenrySchreinerIII@gmail.com>
* stl.h: propagate return value policies to type-specific casters
Return value policies for containers like those handled in in 'stl.h'
are currently broken.
The problem is that detail::return_value_policy_override<C>::policy()
always returns 'move' when given a non-pointer/reference type, e.g.
'std::vector<...>'.
This is sensible behavior for custom types that are exposed via
'py::class_<>', but it does not make sense for types that are handled by
other type casters (STL containers, Eigen matrices, etc.).
This commit changes the behavior so that
detail::return_value_policy_override only becomes active when the type
caster derives from type_caster_generic.
Furthermore, the override logic is called recursively in STL type
casters to enable key/value-specific behavior.
In the latest MSVC in C++17 mode including Eigen causes warnings:
warning C4996: 'std::unary_negate<_Fn>': warning STL4008: std::not1(),
std::not2(), std::unary_negate, and std::binary_negate are deprecated in
C++17. They are superseded by std::not_fn(). You can define
_SILENCE_CXX17_NEGATORS_DEPRECATION_WARNING or
_SILENCE_ALL_CXX17_DEPRECATION_WARNINGS to acknowledge that you have
received this warning.
This disables 4996 for the Eigen includes.
Catch generates a similar warning for std::uncaught_exception, so
disable the warning there, too.
In both cases this is temporary; we can (and should) remove the warnings
disabling once new upstream versions of Eigen and Catch are available
that address the warning. (The Catch one, in particular, looks to be
fixed in upstream master, so will probably be fixed in the next (2.0.2)
release).
This commit turns on `-Wdeprecated` in the test suite and fixes several
associated deprecation warnings that show up as a result:
- in C++17 `static constexpr` members are implicitly inline; our
redeclaration (needed for C++11/14) is deprecated in C++17.
- various test suite classes have destructors and rely on implicit copy
constructors, but implicit copy constructor definitions when a
user-declared destructor is present was deprecated in C++11.
- Eigen also has various implicit copy constructors, so just disable
`-Wdeprecated` in `eigen.h`.
This fixes a bug introduced in b68959e822
when passing in a two-dimensional, but conformable, array as the value
for a compile-time Eigen vector (such as VectorXd or RowVectorXd). The
commit switched to using numpy to copy into the eigen data, but this
broke the described case because numpy refuses to broadcast a (N,1)
into a (N).
This commit fixes it by squeezing the input array whenever the output
array is 1-dimensional, which will let the problematic case through.
(This shouldn't squeeze inappropriately as dimension compatibility is
already checked for conformability before getting to the copy code).
`type_descr` is now applied only to the final signature so that it only
marks the argument types, but not nested types (e.g. for tuples) or
return types.
The current C++14 constexpr signatures don't require relaxed constexpr,
but only `auto` return type deduction. To get around this in C++11,
the type caster's `name()` static member functions are turned into
`static constexpr auto` variables.
This adds a PYBIND11_NAMESPACE macro that expands to the `pybind11`
namespace with hidden visibility under gcc-type compilers, and otherwise
to the plain `pybind11`. This then forces hidden visibility on
everything in pybind, solving the visibility issues discussed at end
end of #949.
This commit allows type_casters to allow their local values to be moved
away, rather than copied, when the type caster instance itself is an rvalue.
This only applies (automatically) to type casters using
PYBIND11_TYPE_CASTER; the generic type type casters don't own their own
pointer, and various value casters (e.g. std::string, std::pair,
arithmetic types) already cast to an rvalue (i.e. they return by value).
This updates various calling code to attempt to get a movable value
whenever the value is itself coming from a type caster about to be
destroyed: for example, when constructing an std::pair or various stl.h
containers. For types that don't support value moving, the cast_op
falls back to an lvalue cast.
There wasn't an obvious place to add the tests, so I added them to
test_copy_move_policies, but also renamed it to drop the _policies as it
now tests more than just policies.
We're current copy by creating an Eigen::Map into the input numpy
array, then assigning that to the basic eigen type, effectively having
Eigen do the copy. That doesn't work for negative strides, though:
Eigen doesn't allow them.
This commit makes numpy do the copying instead by allocating the eigen
type, then having numpy copy from the input array into a numpy reference
into the eigen object's data. This also saves a copy when type
conversion is required: numpy can do the conversion on-the-fly as part
of the copy.
Finally this commit also makes non-reference parameters respect the
convert flag, declining the load when called in a noconvert pass with a
convertible, but non-array input or an array with the wrong dtype.
`EigenConformable::stride_compatible` returns false if the strides are
negative. In this case, do not use `EigenConformable::stride`, as it
is {0,0}. We cannot write negative strides in this element, as Eigen
will throw an assertion if we do.
The `type_caster` specialization for regular, dense Eigen matrices now
does a second `array_t::ensure` to copy data in case of negative strides.
I'm not sure that this is the best way to implement this.
I have added "TODO" tags linking these changes to Eigen bug #747, which,
when fixed, will allow Eigen to accept negative strides.
This adds support for constructing `buffer_info` and `array`s using
arbitrary containers or iterator pairs instead of requiring a vector.
This is primarily needed by PR #782 (which makes strides signed to
properly support negative strides, and will likely also make shape and
itemsize to avoid mixed integer issues), but also needs to preserve
backwards compatibility with 2.1 and earlier which accepts the strides
parameter as a vector of size_t's.
Rather than adding nearly duplicate constructors for each stride-taking
constructor, it seems nicer to simply allow any type of container (or
iterator pairs). This works by replacing the existing vector arguments
with a new `detail::any_container` class that handles implicit
conversion of arbitrary containers into a vector of the desired type.
It can also be explicitly instantiated with a pair of iterators (e.g.
by passing {begin, end} instead of the container).
Many of the Eigen type casters' name() methods weren't wrapping the type
description in a `type_descr` object, which thus wasn't adding the
"{...}" annotation used to identify an argument which broke the help
output by skipping eigen arguments.
The test code I had added even had some (unnoticed) broken output (with
the "arg0: " showing up in the return value).
This commit also adds test code to ensure that named eigen arguments
actually work properly, despite the invalid help output. (The added
tests pass without the rest of this commit).
Fixes#738
The current check for conformability fails when given a 2D, 1xN or Nx1
input to a row-major or column-major, respectively, Eigen::Ref, leading
to a copy-required state in the type_caster, but this later failed
because the copy was also non-conformable because it had the same shape
and strides (because a 1xN or Nx1 is both F and C contiguous).
In such cases we can safely ignore the stride on the "1" dimension since
it'll never be used: only the "N" dimension stride needs to match the
Eigen::Ref stride, which both fixes the non-conformable copy problem,
but also avoids a copy entirely as long as the "N" dimension has a
compatible stride.
This commit largely rewrites the Eigen dense matrix support to avoid
copying in many cases: Eigen arguments can now reference numpy data, and
numpy objects can now reference Eigen data (given compatible types).
Eigen::Ref<...> arguments now also make use of the new `convert`
argument use (added in PR #634) to avoid conversion, allowing
`py::arg().noconvert()` to be used when binding a function to prohibit
copying when invoking the function. Respecting `convert` also means
Eigen overloads that avoid copying will be preferred during overload
resolution to ones that require copying.
This commit also rewrites the Eigen documentation and test suite to
explain and test the new capabilities.
Currently when we do a conversion between a numpy array and an Eigen
Vector, we allow the conversion only if the Eigen type is a
compile-time vector (i.e. at least one dimension is fixed at 1 at
compile time), or if the type is dynamic on *both* dimensions.
This means we can run into cases where MatrixXd allow things that
conforming, compile-time sizes does not: for example,
`Matrix<double,4,Dynamic>` is currently not allowed, even when assigning
from a 4-element vector, but it *is* allowed for a
`Matrix<double,Dynamic,Dynamic>`.
This commit also reverts the current behaviour of using the matrix's
storage order to determine the structure when the Matrix is fully
dynamic (i.e. in both dimensions). Currently we assign to an eigen row
if the storage order is row-major, and column otherwise: this seems
wrong (the storage order has nothing to do with the shape!). While
numpy doesn't distinguish between a row/column vector, Eigen does, but
it makes more sense to consistently choose one than to produce
something with a different shape based on the intended storage layout.
This replaces the current `all_of_t<Pred, Ts...>` with `all_of<Ts...>`,
with previous use of `all_of_t<Pred, Ts...>` becoming
`all_of<Pred<Ts>...>` (and similarly for `any_of_t`). It also adds a
`none_of<Ts...>`, a shortcut for `negation<any_of<Ts...>>`.
This allows `all_of` and `any_of` to be used a bit more flexible, e.g.
in cases where several predicates need to be tested for the same type
instead of the same predicate for multiple types.
This commit replaces the implementation with a more efficient version
for non-MSVC. For MSVC, this changes the workaround to use the
built-in, recursive std::conjunction/std::disjunction instead.
This also removes the `count_t` since `any_of_t` and `all_of_t` were the
only things using it.
This commit also rearranges some of the future std imports to use actual
`std` implementations for C++14/17 features when under the appropriate
compiler mode, as we were already doing for a few things (like
index_sequence). Most of these aren't saving much (the implementation
for enable_if_t, for example, is trivial), but I think it makes the
intention of the code instantly clear. It also enables MSVC's native
std::index_sequence support.
* `array_t(const object &)` now throws on error
* `array_t::ensure()` is intended for casters —- old constructor is
deprecated
* `array` and `array_t` get default constructors (empty array)
* `array` gets a converting constructor
* `py::isinstance<array_T<T>>()` checks the type (but not flags)
There is only one special thing which must remain: `array_t` gets
its own `type_caster` specialization which uses `ensure` instead
of a simple check.
The pytype converting constructors are convenient and safe for user
code, but for library internals the additional type checks and possible
conversions are sometimes not desired. `reinterpret_borrow<T>()` and
`reinterpret_steal<T>()` serve as the low-level unsafe counterparts
of `cast<T>()`.
This deprecates the `object(handle, bool)` constructor.
Renamed `borrowed` parameter to `is_borrowed` to avoid shadowing
warnings on MSVC.
Allows checking the Python types before creating an object instead of
after. For example:
```c++
auto l = list(ptr, true);
if (l.check())
// ...
```
The above is replaced with:
```c++
if (isinstance<list>(ptr)) {
auto l = reinterpret_borrow(ptr);
// ...
}
```
This deprecates `py::object::check()`. `py::isinstance()` covers the
same use case, but it can also check for user-defined types:
```c++
class Pet { ... };
py::class_<Pet>(...);
m.def("is_pet", [](py::object obj) {
return py::isinstance<Pet>(obj); // works as expected
});
```
