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7d710403b0
### Summary: NOTE: This is a re-export of https://github.com/pytorch/pytorch/pull/161994 ; the changes between these two PRs is exclusively to the buck/build files (Summary from #161994 ) Attempted rebase of https://github.com/pytorch/pytorch/pull/143712. This reverts commit 6c713ccb5e0df227dd5b630057cbccd373cbe7d6. cc voznesenskym penguinwu EikanWang jgong5 Guobing-Chen XiaobingSuper zhuhaozhe blzheng wenzhe-nrv jiayisunx chenyang78 kadeng chauhang amjames Lucaskabela imported-using-ghimport Test Plan: Imported from OSS Differential Revision: D81524507 Pulled By: Lucaskabela Pull Request resolved: https://github.com/pytorch/pytorch/pull/163769 Approved by: https://github.com/dolpm Co-authored-by: Brian Hirsh <hirsheybar@fb.com>
72 lines
2.7 KiB
C++
72 lines
2.7 KiB
C++
#include <torch/csrc/functionalization/Module.h>
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#include <torch/csrc/utils/pybind.h>
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#include <ATen/FunctionalStorageImpl.h>
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#include <ATen/FunctionalTensorWrapper.h>
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#include <ATen/FunctionalizeFallbackKernel.h>
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#include <memory>
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namespace torch::functionalization {
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void initModule(PyObject* module) {
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auto m = py::handle(module).cast<py::module>();
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// Create a `torch._C._functionalization` Python module.
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auto functionalization = m.def_submodule(
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"_functionalization", "functionalization related pybind.");
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// Retrieve the ViewMeta sequence of a given functional tensor.
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functionalization.def("get_view_meta_sequence", [](const at::Tensor& tensor) {
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TORCH_INTERNAL_ASSERT(
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at::functionalization::impl::isFunctionalTensor(tensor));
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auto impl = at::functionalization::impl::unsafeGetFunctionalWrapper(tensor);
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return impl->view_metas();
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});
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// Applies the given ViewMeta sequence to the given base.
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functionalization.def(
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"apply_view_meta_sequence",
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[](const at::Tensor& base,
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const std::vector<std::shared_ptr<at::functionalization::ViewMeta>>&
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sequence) {
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return at::functionalization::impl::apply_view_meta_sequence(
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base, sequence);
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});
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// Binding for InverseReturnMode.
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py::enum_<at::functionalization::InverseReturnMode>(
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functionalization, "InverseReturnMode")
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.value("AlwaysView", at::functionalization::InverseReturnMode::AlwaysView)
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.value("NeverView", at::functionalization::InverseReturnMode::NeverView)
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.value(
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"ViewOrScatterInverse",
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at::functionalization::InverseReturnMode::ViewOrScatterInverse);
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// Create bindings for the ViewMeta base class.
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//
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// Needed so that we can take a list of ViewMeta objects as parameter.
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// Specifically, in the Python-side, we will have a list of derived ViewMeta
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// classes. We need to tell pybind11 that all of those are, in fact, instances
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// of different ViewMeta sub-types.
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py::class_<
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at::functionalization::ViewMeta,
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std::shared_ptr<at::functionalization::ViewMeta>>(
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functionalization, "ViewMeta")
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.def_property_readonly(
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"has_symbolic_inputs",
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[](const std::shared_ptr<at::functionalization::ViewMeta>& meta) {
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return meta->has_symbolic_inputs;
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});
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// Bindings for `ViewMeta` specializations manually implemented.
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create_binding_with_pickle<at::functionalization::resize__ViewMeta>(
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functionalization);
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create_binding_with_pickle<at::functionalization::_unsafe_view_ViewMeta>(
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functionalization);
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// Bindings for `ViewMeta` specializations automatically generated.
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initGenerated(functionalization.ptr());
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}
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} // namespace torch::functionalization
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