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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 chunk {
- using schema = ::std::vector<at::Tensor> (const at::Tensor &, int64_t, int64_t);
- using ptr_schema = schema*;
- // See Note [static constexpr char* members for windows NVCC]
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::chunk")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "chunk(Tensor(a -> *) self, int chunks, int dim=0) -> Tensor(a)[]")
- static ::std::vector<at::Tensor> call(const at::Tensor & self, int64_t chunks, int64_t dim);
- static ::std::vector<at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t chunks, int64_t dim);
- };
- }} // namespace at::_ops
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