webapp/seed/Lib/site-packages/torch/include/ATen/ops/multinomial.h

#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)