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- #pragma once
- // @generated by torchgen/gen.py from Operator.h
- #include <tuple>
- #include <vector>
- // Forward declarations of any types needed in the operator signatures.
- // We can't directly include these classes because it will cause circular include dependencies.
- // This file is included by TensorBody.h, which defines the Tensor class.
- #include <ATen/core/ATen_fwd.h>
- namespace at {
- namespace _ops {
- struct TORCH_API zeros_names {
- using schema = at::Tensor (at::IntArrayRef, c10::optional<at::DimnameList>, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>);
- using ptr_schema = schema*;
- // See Note [static constexpr char* members for windows NVCC]
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::zeros")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "names")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "zeros.names(int[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor")
- static at::Tensor call(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);
- static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, 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);
- };
- struct TORCH_API zeros {
- using schema = at::Tensor (c10::SymIntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>);
- using ptr_schema = schema*;
- // See Note [static constexpr char* members for windows NVCC]
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::zeros")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "zeros(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor")
- static at::Tensor call(c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory);
- static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory);
- };
- struct TORCH_API zeros_out {
- using schema = at::Tensor & (c10::SymIntArrayRef, at::Tensor &);
- using ptr_schema = schema*;
- // See Note [static constexpr char* members for windows NVCC]
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::zeros")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "zeros.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!)")
- static at::Tensor & call(c10::SymIntArrayRef size, at::Tensor & out);
- static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, at::Tensor & out);
- };
- struct TORCH_API zeros_names_out {
- using schema = at::Tensor & (at::IntArrayRef, c10::optional<at::DimnameList>, at::Tensor &);
- using ptr_schema = schema*;
- // See Note [static constexpr char* members for windows NVCC]
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::zeros")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "names_out")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "zeros.names_out(int[] size, *, Dimname[]? names, Tensor(a!) out) -> Tensor(a!)")
- static at::Tensor & call(at::IntArrayRef size, c10::optional<at::DimnameList> names, at::Tensor & out);
- static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, at::Tensor & out);
- };
- }} // namespace at::_ops
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