#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::_sparse_csr_sum.dim_dtype(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor inline at::Tensor _sparse_csr_sum(const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false, c10::optional dtype=c10::nullopt) { return at::_ops::_sparse_csr_sum_dim_dtype::call(self, dim, keepdim, dtype); } // aten::_sparse_csr_sum.dim_dtype_out(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & _sparse_csr_sum_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false, c10::optional dtype=c10::nullopt) { return at::_ops::_sparse_csr_sum_dim_dtype_out::call(self, dim, keepdim, dtype, out); } // aten::_sparse_csr_sum.dim_dtype_out(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & _sparse_csr_sum_outf(const at::Tensor & self, at::IntArrayRef dim, bool keepdim, c10::optional dtype, at::Tensor & out) { return at::_ops::_sparse_csr_sum_dim_dtype_out::call(self, dim, keepdim, dtype, out); } }