Viewing File: /home/ubuntu/combine_ai/combine/lib/python3.10/site-packages/torch/include/ATen/ops/new_ones.h
#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 <c10/util/Optional.h>
#include <ATen/ops/new_ones_ops.h>
namespace at {
namespace symint {
template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
at::Tensor new_ones(const at::Tensor & self, at::IntArrayRef size, at::TensorOptions options={}) {
return at::_ops::new_ones::call(self, c10::fromIntArrayRefSlow(size), optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
}
}
namespace symint {
template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
at::Tensor new_ones(const at::Tensor & self, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
return at::_ops::new_ones::call(self, c10::fromIntArrayRefSlow(size), dtype, layout, device, pin_memory);
}
}
namespace symint {
template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
at::Tensor new_ones(const at::Tensor & self, c10::SymIntArrayRef size, at::TensorOptions options={}) {
return at::_ops::new_ones::call(self, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
}
}
namespace symint {
template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
at::Tensor new_ones(const at::Tensor & self, c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
return at::_ops::new_ones::call(self, size, dtype, layout, device, pin_memory);
}
}
// aten::new_ones.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
inline at::Tensor & new_ones_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef size) {
return at::_ops::new_ones_out::call(self, c10::fromIntArrayRefSlow(size), out);
}
namespace symint {
template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
at::Tensor & new_ones_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef size) {
return at::_ops::new_ones_out::call(self, c10::fromIntArrayRefSlow(size), out);
}
}
// aten::new_ones.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
inline at::Tensor & new_ones_outf(const at::Tensor & self, at::IntArrayRef size, at::Tensor & out) {
return at::_ops::new_ones_out::call(self, c10::fromIntArrayRefSlow(size), out);
}
namespace symint {
template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
at::Tensor & new_ones_outf(const at::Tensor & self, at::IntArrayRef size, at::Tensor & out) {
return at::_ops::new_ones_out::call(self, c10::fromIntArrayRefSlow(size), out);
}
}
// aten::new_ones.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
inline at::Tensor & new_ones_symint_out(at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef size) {
return at::_ops::new_ones_out::call(self, size, out);
}
namespace symint {
template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
at::Tensor & new_ones_out(at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef size) {
return at::_ops::new_ones_out::call(self, size, out);
}
}
// aten::new_ones.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
inline at::Tensor & new_ones_symint_outf(const at::Tensor & self, c10::SymIntArrayRef size, at::Tensor & out) {
return at::_ops::new_ones_out::call(self, size, out);
}
namespace symint {
template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
at::Tensor & new_ones_outf(const at::Tensor & self, c10::SymIntArrayRef size, at::Tensor & out) {
return at::_ops::new_ones_out::call(self, size, out);
}
}
}
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