1 | #pragma once |
2 | // @generated by torchgen/gen.py from DispatchKeyFunction.h |
3 | |
4 | // NB: The implementing C++ file is RegisterDispatchKey.cpp |
5 | |
6 | // The only #includes we need are for custom classes that have defaults in the C++ API |
7 | #include <c10/core/MemoryFormat.h> |
8 | #include <c10/core/Scalar.h> |
9 | #include <ATen/core/Reduction.h> |
10 | |
11 | // Forward declarations of any types needed in the operator signatures. |
12 | // We can't directly include these classes because it will cause circular include dependencies. |
13 | // This file is included by TensorBody.h, which defines the Tensor class. |
14 | #include <ATen/core/ATen_fwd.h> |
15 | |
16 | namespace at { |
17 | |
18 | namespace compositeexplicitautograd { |
19 | |
20 | TORCH_API at::Tensor rand(at::IntArrayRef size, c10::optional<at::DimnameList> names, at::TensorOptions options={}); |
21 | TORCH_API at::Tensor rand(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); |
22 | TORCH_API at::Tensor rand_symint(c10::SymIntArrayRef size, c10::optional<at::DimnameList> names, at::TensorOptions options={}); |
23 | TORCH_API at::Tensor rand_symint(c10::SymIntArrayRef 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); |
24 | TORCH_API at::Tensor & rand_out(at::Tensor & out, at::IntArrayRef size, c10::optional<at::DimnameList> names); |
25 | TORCH_API at::Tensor & rand_outf(at::IntArrayRef size, c10::optional<at::DimnameList> names, at::Tensor & out); |
26 | TORCH_API at::Tensor & rand_symint_out(at::Tensor & out, c10::SymIntArrayRef size, c10::optional<at::DimnameList> names); |
27 | TORCH_API at::Tensor & rand_symint_outf(c10::SymIntArrayRef size, c10::optional<at::DimnameList> names, at::Tensor & out); |
28 | TORCH_API at::Tensor rand(at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names, at::TensorOptions options={}); |
29 | TORCH_API at::Tensor rand(at::IntArrayRef size, c10::optional<at::Generator> generator, 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); |
30 | TORCH_API at::Tensor rand_symint(c10::SymIntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names, at::TensorOptions options={}); |
31 | TORCH_API at::Tensor rand_symint(c10::SymIntArrayRef size, c10::optional<at::Generator> generator, 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); |
32 | TORCH_API at::Tensor & rand_out(at::Tensor & out, at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names); |
33 | TORCH_API at::Tensor & rand_outf(at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names, at::Tensor & out); |
34 | TORCH_API at::Tensor & rand_symint_out(at::Tensor & out, c10::SymIntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names); |
35 | TORCH_API at::Tensor & rand_symint_outf(c10::SymIntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names, at::Tensor & out); |
36 | TORCH_API at::Tensor rand(at::IntArrayRef size, at::TensorOptions options={}); |
37 | TORCH_API at::Tensor rand(at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory); |
38 | TORCH_API at::Tensor rand_symint(c10::SymIntArrayRef size, at::TensorOptions options={}); |
39 | TORCH_API at::Tensor rand_symint(c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory); |
40 | TORCH_API at::Tensor & rand_out(at::Tensor & out, at::IntArrayRef size); |
41 | TORCH_API at::Tensor & rand_outf(at::IntArrayRef size, at::Tensor & out); |
42 | TORCH_API at::Tensor & rand_symint_out(at::Tensor & out, c10::SymIntArrayRef size); |
43 | TORCH_API at::Tensor & rand_symint_outf(c10::SymIntArrayRef size, at::Tensor & out); |
44 | TORCH_API at::Tensor rand(at::IntArrayRef size, c10::optional<at::Generator> generator, at::TensorOptions options={}); |
45 | TORCH_API at::Tensor rand(at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory); |
46 | TORCH_API at::Tensor rand_symint(c10::SymIntArrayRef size, c10::optional<at::Generator> generator, at::TensorOptions options={}); |
47 | TORCH_API at::Tensor rand_symint(c10::SymIntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory); |
48 | |
49 | } // namespace compositeexplicitautograd |
50 | } // namespace at |
51 | |