1 | #pragma once |
2 | |
3 | // @generated by torchgen/gen.py from Operator.h |
4 | |
5 | #include <tuple> |
6 | #include <vector> |
7 | |
8 | // Forward declarations of any types needed in the operator signatures. |
9 | // We can't directly include these classes because it will cause circular include dependencies. |
10 | // This file is included by TensorBody.h, which defines the Tensor class. |
11 | #include <ATen/core/ATen_fwd.h> |
12 | |
13 | namespace at { |
14 | namespace _ops { |
15 | |
16 | |
17 | struct TORCH_API _sparse_csc_tensor_unsafe { |
18 | using schema = at::Tensor (const at::Tensor &, const at::Tensor &, const at::Tensor &, at::IntArrayRef, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>); |
19 | using ptr_schema = schema*; |
20 | // See Note [static constexpr char* members for windows NVCC] |
21 | STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_sparse_csc_tensor_unsafe" ) |
22 | STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "" ) |
23 | STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_sparse_csc_tensor_unsafe(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor" ) |
24 | static at::Tensor call(const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory); |
25 | static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory); |
26 | }; |
27 | |
28 | }} // namespace at::_ops |
29 | |