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b8abdaa286
Fix: #141974 This PR makes `ViewMeta` sequence, present in functional tensors, serializable with pickle. In order to accomplish that, it makes `ViewMeta` an abstract class with overridable `forward` and `reverse` functions. In this context, each operation that once instanciated `ViewMeta`, should now create a new specialized class that inherits from `ViewMeta. Therefore, this PR also uses codegen for creating these specializations. In summary, these are the changes this PR introduces: - `ViewMeta` is turned into an abstract class (see _FunctionalStorageImpl.cpp_). `forward` and `reverse` are pure virtual functions that need to be implemented. `to_out_index` should be implemented by operations that might return more than 1 output. - New `ViewMeta` specializations for `resize_` and `_unsafe_view` are created (see _FunctionalizeFallbackKernel.h_). - New templates _ViewMetaClasses.{cpp,h}_ are created. They hold the declaration and definition of the `ViewMeta` specializations, which are automatically generated in the ATen codegen (see _gen.py_). - New `_functionalization` Python sub-module is created (see _Module.cpp_). It serves as namespace for the `ViewMeta` specializations and `InverseReturnMode` enum. - New template _ViewMetaClassesPythonBinding.cpp_ is created. It holds the automatically generated Python bindings for the `ViewMeta` specialization, which are generated in the torch codegen (see _generate_code.py_). Note that this PR makes use of codegen at 2 different moments: - ATen codegen (_gen.py_): generates the `ViewMeta` specialized classes. - Torch codegen (_generate_code.py_): generated the Python bindings for them. Pull Request resolved: https://github.com/pytorch/pytorch/pull/143712 Approved by: https://github.com/bdhirsh
12 lines
292 B
C++
12 lines
292 B
C++
#include <ATen/ViewMetaClasses.h>
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#include <torch/csrc/functionalization/Module.h>
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namespace torch::functionalization {
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void initGenerated(PyObject* module) {
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auto functionalization = py::handle(module).cast<py::module>();
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$view_meta_bindings
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}
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} // namespace torch::functionalization
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