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- #pragma once
- // @generated by torchgen/gen.py from DispatchKeyFunction.h
- // NB: The implementing C++ file is RegisterDispatchKey.cpp
- // The only #includes we need are for custom classes that have defaults in the C++ API
- #include <c10/core/MemoryFormat.h>
- #include <c10/core/Scalar.h>
- #include <ATen/core/Reduction.h>
- // 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 compositeexplicitautograd {
- TORCH_API at::Tensor random(const at::Tensor & self, int64_t from, c10::optional<int64_t> to, c10::optional<at::Generator> generator=c10::nullopt);
- TORCH_API at::Tensor & random_out(at::Tensor & out, const at::Tensor & self, int64_t from, c10::optional<int64_t> to, c10::optional<at::Generator> generator=c10::nullopt);
- TORCH_API at::Tensor & random_outf(const at::Tensor & self, int64_t from, c10::optional<int64_t> to, c10::optional<at::Generator> generator, at::Tensor & out);
- TORCH_API at::Tensor random(const at::Tensor & self, int64_t to, c10::optional<at::Generator> generator=c10::nullopt);
- TORCH_API at::Tensor & random_out(at::Tensor & out, const at::Tensor & self, int64_t to, c10::optional<at::Generator> generator=c10::nullopt);
- TORCH_API at::Tensor & random_outf(const at::Tensor & self, int64_t to, c10::optional<at::Generator> generator, at::Tensor & out);
- TORCH_API at::Tensor random(const at::Tensor & self, c10::optional<at::Generator> generator=c10::nullopt);
- TORCH_API at::Tensor & random_out(at::Tensor & out, const at::Tensor & self, c10::optional<at::Generator> generator=c10::nullopt);
- TORCH_API at::Tensor & random_outf(const at::Tensor & self, c10::optional<at::Generator> generator, at::Tensor & out);
- } // namespace compositeexplicitautograd
- } // namespace at
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