#pragma once // @generated by torchgen/gen.py from Function.h #include #include #include #include #include #include #include #include #include #include #include #include #include namespace at { // aten::split.Tensor(Tensor(a -> *) self, SymInt split_size, int dim=0) -> Tensor(a)[] inline ::std::vector split(const at::Tensor & self, int64_t split_size, int64_t dim=0) { return at::_ops::split_Tensor::call(self, split_size, dim); } namespace symint { template ::value>> ::std::vector split(const at::Tensor & self, int64_t split_size, int64_t dim=0) { return at::_ops::split_Tensor::call(self, split_size, dim); } } // aten::split.Tensor(Tensor(a -> *) self, SymInt split_size, int dim=0) -> Tensor(a)[] inline ::std::vector split_symint(const at::Tensor & self, c10::SymInt split_size, int64_t dim=0) { return at::_ops::split_Tensor::call(self, split_size, dim); } namespace symint { template ::value>> ::std::vector split(const at::Tensor & self, c10::SymInt split_size, int64_t dim=0) { return at::_ops::split_Tensor::call(self, split_size, dim); } } // aten::split.sizes(Tensor(a -> *) self, SymInt[] split_size, int dim=0) -> Tensor(a)[] inline ::std::vector split(const at::Tensor & self, at::IntArrayRef split_size, int64_t dim=0) { return at::_ops::split_sizes::call(self, c10::fromIntArrayRefSlow(split_size), dim); } namespace symint { template ::value>> ::std::vector split(const at::Tensor & self, at::IntArrayRef split_size, int64_t dim=0) { return at::_ops::split_sizes::call(self, c10::fromIntArrayRefSlow(split_size), dim); } } // aten::split.sizes(Tensor(a -> *) self, SymInt[] split_size, int dim=0) -> Tensor(a)[] inline ::std::vector split_symint(const at::Tensor & self, c10::SymIntArrayRef split_size, int64_t dim=0) { return at::_ops::split_sizes::call(self, split_size, dim); } namespace symint { template ::value>> ::std::vector split(const at::Tensor & self, c10::SymIntArrayRef split_size, int64_t dim=0) { return at::_ops::split_sizes::call(self, split_size, dim); } } }