You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
98 lines
5.2 KiB
98 lines
5.2 KiB
#if !defined(TORCH_STABLE_ONLY) && !defined(TORCH_TARGET_VERSION)
|
|
#pragma once
|
|
|
|
// @generated by torchgen/gen.py from Function.h
|
|
|
|
#include <ATen/Context.h>
|
|
#include <ATen/DeviceGuard.h>
|
|
#include <ATen/TensorUtils.h>
|
|
#include <ATen/TracerMode.h>
|
|
#include <ATen/core/Generator.h>
|
|
#include <ATen/core/Reduction.h>
|
|
#include <ATen/core/Tensor.h>
|
|
#include <c10/core/Scalar.h>
|
|
#include <c10/core/Storage.h>
|
|
#include <c10/core/TensorOptions.h>
|
|
#include <c10/util/Deprecated.h>
|
|
#include <optional>
|
|
#include <string_view>
|
|
|
|
|
|
|
|
#include <ATen/ops/multinomial_ops.h>
|
|
|
|
namespace at {
|
|
|
|
|
|
// aten::multinomial.out(Tensor self, SymInt num_samples, bool replacement=False, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!)
|
|
inline at::Tensor & multinomial_out(at::Tensor & out, const at::Tensor & self, int64_t num_samples, bool replacement=false, ::std::optional<at::Generator> generator=::std::nullopt) {
|
|
return at::_ops::multinomial_out::call(self, num_samples, replacement, generator, out);
|
|
}
|
|
namespace symint {
|
|
template <typename T, typename = std::enable_if_t<std::is_same_v<T, int64_t>>>
|
|
at::Tensor & multinomial_out(at::Tensor & out, const at::Tensor & self, int64_t num_samples, bool replacement=false, ::std::optional<at::Generator> generator=::std::nullopt) {
|
|
return at::_ops::multinomial_out::call(self, num_samples, replacement, generator, out);
|
|
}
|
|
}
|
|
|
|
// aten::multinomial.out(Tensor self, SymInt num_samples, bool replacement=False, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!)
|
|
inline at::Tensor & multinomial_outf(const at::Tensor & self, int64_t num_samples, bool replacement, ::std::optional<at::Generator> generator, at::Tensor & out) {
|
|
return at::_ops::multinomial_out::call(self, num_samples, replacement, generator, out);
|
|
}
|
|
namespace symint {
|
|
template <typename T, typename = std::enable_if_t<std::is_same_v<T, int64_t>>>
|
|
at::Tensor & multinomial_outf(const at::Tensor & self, int64_t num_samples, bool replacement, ::std::optional<at::Generator> generator, at::Tensor & out) {
|
|
return at::_ops::multinomial_out::call(self, num_samples, replacement, generator, out);
|
|
}
|
|
}
|
|
|
|
// aten::multinomial.out(Tensor self, SymInt num_samples, bool replacement=False, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!)
|
|
inline at::Tensor & multinomial_symint_out(at::Tensor & out, const at::Tensor & self, c10::SymInt num_samples, bool replacement=false, ::std::optional<at::Generator> generator=::std::nullopt) {
|
|
return at::_ops::multinomial_out::call(self, num_samples, replacement, generator, out);
|
|
}
|
|
namespace symint {
|
|
template <typename T, typename = std::enable_if_t<std::is_same_v<T, c10::SymInt>>>
|
|
at::Tensor & multinomial_out(at::Tensor & out, const at::Tensor & self, c10::SymInt num_samples, bool replacement=false, ::std::optional<at::Generator> generator=::std::nullopt) {
|
|
return at::_ops::multinomial_out::call(self, num_samples, replacement, generator, out);
|
|
}
|
|
}
|
|
|
|
// aten::multinomial.out(Tensor self, SymInt num_samples, bool replacement=False, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!)
|
|
inline at::Tensor & multinomial_symint_outf(const at::Tensor & self, c10::SymInt num_samples, bool replacement, ::std::optional<at::Generator> generator, at::Tensor & out) {
|
|
return at::_ops::multinomial_out::call(self, num_samples, replacement, generator, out);
|
|
}
|
|
namespace symint {
|
|
template <typename T, typename = std::enable_if_t<std::is_same_v<T, c10::SymInt>>>
|
|
at::Tensor & multinomial_outf(const at::Tensor & self, c10::SymInt num_samples, bool replacement, ::std::optional<at::Generator> generator, at::Tensor & out) {
|
|
return at::_ops::multinomial_out::call(self, num_samples, replacement, generator, out);
|
|
}
|
|
}
|
|
|
|
// aten::multinomial(Tensor self, SymInt num_samples, bool replacement=False, *, Generator? generator=None) -> Tensor
|
|
inline at::Tensor multinomial(const at::Tensor & self, int64_t num_samples, bool replacement=false, ::std::optional<at::Generator> generator=::std::nullopt) {
|
|
return at::_ops::multinomial::call(self, num_samples, replacement, generator);
|
|
}
|
|
namespace symint {
|
|
template <typename T, typename = std::enable_if_t<std::is_same_v<T, int64_t>>>
|
|
at::Tensor multinomial(const at::Tensor & self, int64_t num_samples, bool replacement=false, ::std::optional<at::Generator> generator=::std::nullopt) {
|
|
return at::_ops::multinomial::call(self, num_samples, replacement, generator);
|
|
}
|
|
}
|
|
|
|
// aten::multinomial(Tensor self, SymInt num_samples, bool replacement=False, *, Generator? generator=None) -> Tensor
|
|
inline at::Tensor multinomial_symint(const at::Tensor & self, c10::SymInt num_samples, bool replacement=false, ::std::optional<at::Generator> generator=::std::nullopt) {
|
|
return at::_ops::multinomial::call(self, num_samples, replacement, generator);
|
|
}
|
|
namespace symint {
|
|
template <typename T, typename = std::enable_if_t<std::is_same_v<T, c10::SymInt>>>
|
|
at::Tensor multinomial(const at::Tensor & self, c10::SymInt num_samples, bool replacement=false, ::std::optional<at::Generator> generator=::std::nullopt) {
|
|
return at::_ops::multinomial::call(self, num_samples, replacement, generator);
|
|
}
|
|
}
|
|
|
|
}
|
|
|
|
#else
|
|
#error "This file should not be included when either TORCH_STABLE_ONLY or TORCH_TARGET_VERSION is defined."
|
|
#endif // !defined(TORCH_STABLE_ONLY) && !defined(TORCH_TARGET_VERSION)
|