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https://github.com/zebrajr/pytorch.git
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Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/38560 Test Plan: Imported from OSS Reviewed By: ngimel Differential Revision: D21598067 Pulled By: jamesr66a fbshipit-source-id: 26a0e92a5c2883326be261cf84b7e916ebfd60d8
161 lines
5.1 KiB
C++
161 lines
5.1 KiB
C++
#pragma once
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#include <ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h>
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#include <ATen/core/function.h>
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#include <c10/util/Metaprogramming.h>
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#include <c10/util/TypeTraits.h>
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namespace torch {
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namespace detail {
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// Argument type utilities
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template <class R, class...>
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struct types {
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using type = types;
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};
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template <typename Method>
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struct WrapMethod;
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template <typename R, typename CurrClass, typename... Args>
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struct WrapMethod<R (CurrClass::*)(Args...)> {
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WrapMethod(R (CurrClass::*m)(Args...)) : m(std::move(m)) {}
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R operator()(c10::intrusive_ptr<CurrClass> cur, Args... args) {
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return c10::guts::invoke(m, *cur, args...);
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}
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R (CurrClass::*m)(Args...);
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};
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template <typename R, typename CurrClass, typename... Args>
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struct WrapMethod<R (CurrClass::*)(Args...) const> {
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WrapMethod(R (CurrClass::*m)(Args...) const) : m(std::move(m)) {}
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R operator()(c10::intrusive_ptr<CurrClass> cur, Args... args) {
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return c10::guts::invoke(m, *cur, args...);
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}
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R (CurrClass::*m)(Args...) const;
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};
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// Adapter for different callable types
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template <
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typename CurClass,
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typename Func,
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std::enable_if_t<
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std::is_member_function_pointer<std::decay_t<Func>>::value,
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bool> = false>
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WrapMethod<Func> wrap_func(Func f) {
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return WrapMethod<Func>(std::move(f));
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}
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template <
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typename CurClass,
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typename Func,
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std::enable_if_t<
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!std::is_member_function_pointer<std::decay_t<Func>>::value,
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bool> = false>
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Func wrap_func(Func f) {
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return f;
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}
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template <
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class Functor,
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bool AllowDeprecatedTypes,
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size_t... ivalue_arg_indices>
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typename c10::guts::infer_function_traits_t<Functor>::return_type
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call_torchbind_method_from_stack(
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Functor& functor,
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jit::Stack& stack,
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std::index_sequence<ivalue_arg_indices...>) {
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(void)(stack); // when sizeof...(ivalue_arg_indices) == 0, this argument would
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// be unused and we have to silence the compiler warning.
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constexpr size_t num_ivalue_args = sizeof...(ivalue_arg_indices);
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using IValueArgTypes =
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typename c10::guts::infer_function_traits_t<Functor>::parameter_types;
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// TODO We shouldn't use c10::impl stuff directly here. We should use the KernelFunction API instead.
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return (functor)(c10::impl::ivalue_to_arg<
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std::remove_cv_t<std::remove_reference_t<
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c10::guts::typelist::
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element_t<ivalue_arg_indices, IValueArgTypes>>>,
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AllowDeprecatedTypes>::call(std::move(
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torch::jit::peek(stack, ivalue_arg_indices, num_ivalue_args)))...);
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}
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template <class Functor, bool AllowDeprecatedTypes>
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typename c10::guts::infer_function_traits_t<Functor>::return_type
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call_torchbind_method_from_stack(Functor& functor, jit::Stack& stack) {
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constexpr size_t num_ivalue_args =
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c10::guts::infer_function_traits_t<Functor>::number_of_parameters;
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return call_torchbind_method_from_stack<Functor, AllowDeprecatedTypes>(
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functor, stack, std::make_index_sequence<num_ivalue_args>());
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}
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template <class RetType, class Func>
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struct BoxedProxy;
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template <class RetType, class Func>
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struct BoxedProxy {
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void operator()(jit::Stack& stack, Func& func) {
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auto retval = call_torchbind_method_from_stack<Func, false>(func, stack);
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constexpr size_t num_ivalue_args =
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c10::guts::infer_function_traits_t<Func>::number_of_parameters;
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torch::jit::drop(stack, num_ivalue_args);
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stack.emplace_back(c10::ivalue::from(std::move(retval)));
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}
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};
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template <class Func>
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struct BoxedProxy<void, Func> {
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void operator()(jit::Stack& stack, Func& func) {
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call_torchbind_method_from_stack<Func, false>(func, stack);
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constexpr size_t num_ivalue_args =
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c10::guts::infer_function_traits_t<Func>::number_of_parameters;
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torch::jit::drop(stack, num_ivalue_args);
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stack.emplace_back(c10::IValue());
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}
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};
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inline bool validIdent(size_t i, char n) {
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return isalpha(n) || n == '_' || (i > 0 && isdigit(n));
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}
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inline void checkValidIdent(const std::string& str, const char *type) {
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for (size_t i = 0; i < str.size(); ++i) {
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TORCH_CHECK(validIdent(i, str[i]),
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type,
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" must be a valid Python/C++ identifier."
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" Character '", str[i], "' at index ",
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i, " is illegal.");
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}
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}
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} // namespace detail
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TORCH_API void registerCustomClass(at::ClassTypePtr class_type);
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TORCH_API void registerCustomClassMethod(std::unique_ptr<jit::Function> method);
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// Given a qualified name (e.g. __torch__.torch.classes.Foo), return
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// the ClassType pointer to the Type that describes that custom class,
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// or nullptr if no class by that name was found.
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TORCH_API at::ClassTypePtr getCustomClass(const std::string& name);
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// Given an IValue, return true if the object contained in that IValue
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// is a custom C++ class, otherwise return false.
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TORCH_API bool isCustomClass(const c10::IValue& v);
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// This API is for testing purposes ONLY. It should not be used in
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// any load-bearing code.
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TORCH_API std::vector<c10::FunctionSchema> customClassSchemasForBCCheck();
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namespace jit {
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using ::torch::registerCustomClass;
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using ::torch::registerCustomClassMethod;
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}
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} // namespace torch
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