llvm-project/mlir/python/requirements.txt

numpy
pybind11>=2.8.0
PyYAML
dataclasses
NFC: Update MLIR python bindings docs to install deps via requirements.txt. * Also adds some verbiage about upgrading `pip` itself, since this is a common source of issues. Differential Revision: https://reviews.llvm.org/D99522 2021-03-30 02:30:50 +08:00			`numpy`
[mlir] Rework subclass construction in PybindAdaptors.h The constructor function was being defined without indicating its "__init__" name, which made it interpret it as a regular fuction rather than a constructor. When overload resolution failed, Pybind would attempt to print the arguments actually passed to the function, including "self", which is not initialized since the constructor couldn't be called. This would result in "__repr__" being called with "self" referencing an uninitialized MLIR C API object, which in turn would cause undefined behavior when attempting to print in C++. Even if the correct name is provided, the mechanism used by PybindAdaptors.h to bind constructors directly as "__init__" functions taking "self" is deprecated by Pybind. The new mechanism does not seem to have access to a fully-constructed "self" object (i.e., the constructor in C++ takes a `pybind11::detail::value_and_holder` that cannot be forwarded back to Python). Instead, redefine "__new__" to perform the required checks (there are no additional initialization needed for attributes and types as they are all wrappers around a C++ pointer). "__new__" can call its equivalent on a superclass without needing "self". Bump pybind11 dependency to 3.8.0, which is the first version that allows one to redefine "__new__". Reviewed By: stellaraccident Differential Revision: https://reviews.llvm.org/D117646 2022-01-19 19:21:42 +08:00			`pybind11>=2.8.0`
NFC: Update MLIR python bindings docs to install deps via requirements.txt. * Also adds some verbiage about upgrading `pip` itself, since this is a common source of issues. Differential Revision: https://reviews.llvm.org/D99522 2021-03-30 02:30:50 +08:00			`PyYAML`
Upstream MLIR PyTACO implementation. Add TACO tests to test/Integration/Dialect/SparseTensor/taco. Add the MLIR PyTACO implementation as tools under the directory. Reviewed By: aartbik, mehdi_amini Differential Revision: https://reviews.llvm.org/D117260 2022-01-14 08:27:28 +08:00			`dataclasses`