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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 huber_loss_out {
- using schema = at::Tensor & (const at::Tensor &, const at::Tensor &, int64_t, double, at::Tensor &);
- using ptr_schema = schema*;
- // See Note [static constexpr char* members for windows NVCC]
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::huber_loss")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "huber_loss.out(Tensor self, Tensor target, int reduction=Mean, float delta=1.0, *, Tensor(a!) out) -> Tensor(a!)")
- static at::Tensor & call(const at::Tensor & self, const at::Tensor & target, int64_t reduction, double delta, at::Tensor & out);
- static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction, double delta, at::Tensor & out);
- };
- struct TORCH_API huber_loss {
- using schema = at::Tensor (const at::Tensor &, const at::Tensor &, int64_t, double);
- using ptr_schema = schema*;
- // See Note [static constexpr char* members for windows NVCC]
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::huber_loss")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "huber_loss(Tensor self, Tensor target, int reduction=Mean, float delta=1.0) -> Tensor")
- static at::Tensor call(const at::Tensor & self, const at::Tensor & target, int64_t reduction, double delta);
- static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction, double delta);
- };
- }} // namespace at::_ops
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