132 lines
6.6 KiB
C++
132 lines
6.6 KiB
C++
#pragma once
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// @generated by torchgen/gen.py from Function.h
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#include <ATen/Context.h>
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#include <ATen/DeviceGuard.h>
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#include <ATen/TensorUtils.h>
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#include <ATen/TracerMode.h>
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#include <ATen/core/Generator.h>
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#include <ATen/core/Reduction.h>
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#include <ATen/core/Tensor.h>
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#include <c10/core/Scalar.h>
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#include <c10/core/Storage.h>
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#include <c10/core/TensorOptions.h>
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#include <c10/util/Deprecated.h>
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#include <c10/util/Optional.h>
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#include <ATen/ops/ones_ops.h>
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namespace at {
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// aten::ones.names(int[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
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inline at::Tensor ones(at::IntArrayRef size, c10::optional<at::DimnameList> names, at::TensorOptions options={}) {
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return at::_ops::ones_names::call(size, names, c10::optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
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}
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// aten::ones.names(int[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
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inline at::Tensor ones(at::IntArrayRef size, c10::optional<at::DimnameList> names, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
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return at::_ops::ones_names::call(size, names, dtype, layout, device, pin_memory);
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}
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// aten::ones(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
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inline at::Tensor ones(at::IntArrayRef size, at::TensorOptions options={}) {
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return at::_ops::ones::call(c10::fromIntArrayRefSlow(size), c10::optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
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}
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namespace symint {
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template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
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at::Tensor ones(at::IntArrayRef size, at::TensorOptions options={}) {
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return at::_ops::ones::call(c10::fromIntArrayRefSlow(size), c10::optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
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}
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}
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// aten::ones(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
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inline at::Tensor ones(at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
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return at::_ops::ones::call(c10::fromIntArrayRefSlow(size), dtype, layout, device, pin_memory);
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}
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namespace symint {
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template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
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at::Tensor ones(at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
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return at::_ops::ones::call(c10::fromIntArrayRefSlow(size), dtype, layout, device, pin_memory);
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}
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}
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// aten::ones(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
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inline at::Tensor ones_symint(c10::SymIntArrayRef size, at::TensorOptions options={}) {
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return at::_ops::ones::call(size, c10::optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
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}
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namespace symint {
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template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
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at::Tensor ones(c10::SymIntArrayRef size, at::TensorOptions options={}) {
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return at::_ops::ones::call(size, c10::optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
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}
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}
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// aten::ones(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
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inline at::Tensor ones_symint(c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
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return at::_ops::ones::call(size, dtype, layout, device, pin_memory);
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}
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namespace symint {
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template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
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at::Tensor ones(c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
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return at::_ops::ones::call(size, dtype, layout, device, pin_memory);
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}
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}
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// aten::ones.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
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inline at::Tensor & ones_out(at::Tensor & out, at::IntArrayRef size) {
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return at::_ops::ones_out::call(c10::fromIntArrayRefSlow(size), out);
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}
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namespace symint {
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template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
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at::Tensor & ones_out(at::Tensor & out, at::IntArrayRef size) {
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return at::_ops::ones_out::call(c10::fromIntArrayRefSlow(size), out);
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}
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}
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// aten::ones.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
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inline at::Tensor & ones_outf(at::IntArrayRef size, at::Tensor & out) {
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return at::_ops::ones_out::call(c10::fromIntArrayRefSlow(size), out);
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}
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namespace symint {
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template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
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at::Tensor & ones_outf(at::IntArrayRef size, at::Tensor & out) {
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return at::_ops::ones_out::call(c10::fromIntArrayRefSlow(size), out);
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}
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}
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// aten::ones.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
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inline at::Tensor & ones_symint_out(at::Tensor & out, c10::SymIntArrayRef size) {
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return at::_ops::ones_out::call(size, out);
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}
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namespace symint {
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template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
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at::Tensor & ones_out(at::Tensor & out, c10::SymIntArrayRef size) {
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return at::_ops::ones_out::call(size, out);
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}
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}
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// aten::ones.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)
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inline at::Tensor & ones_symint_outf(c10::SymIntArrayRef size, at::Tensor & out) {
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return at::_ops::ones_out::call(size, out);
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}
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namespace symint {
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template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
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at::Tensor & ones_outf(c10::SymIntArrayRef size, at::Tensor & out) {
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return at::_ops::ones_out::call(size, out);
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}
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}
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// aten::ones.names_out(int[] size, *, Dimname[]? names, Tensor(a!) out) -> Tensor(a!)
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inline at::Tensor & ones_out(at::Tensor & out, at::IntArrayRef size, c10::optional<at::DimnameList> names) {
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return at::_ops::ones_names_out::call(size, names, out);
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}
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// aten::ones.names_out(int[] size, *, Dimname[]? names, Tensor(a!) out) -> Tensor(a!)
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inline at::Tensor & ones_outf(at::IntArrayRef size, c10::optional<at::DimnameList> names, at::Tensor & out) {
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return at::_ops::ones_names_out::call(size, names, out);
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}
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}
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