#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::triu_indices(int row, int col, int offset=0, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor inline at::Tensor triu_indices(int64_t row, int64_t col, int64_t offset=0, at::TensorOptions options=at::kLong) { return at::_ops::triu_indices::call(row, col, offset, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); } // aten::triu_indices(int row, int col, int offset=0, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor inline at::Tensor triu_indices(int64_t row, int64_t col, int64_t offset, c10::optional dtype, c10::optional layout, c10::optional device, c10::optional pin_memory) { return at::_ops::triu_indices::call(row, col, offset, dtype, layout, device, pin_memory); } // aten::triu_indices.out(int row, int col, int offset=0, *, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & triu_indices_out(at::Tensor & out, int64_t row, int64_t col, int64_t offset=0) { return at::_ops::triu_indices_out::call(row, col, offset, out); } // aten::triu_indices.out(int row, int col, int offset=0, *, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & triu_indices_outf(int64_t row, int64_t col, int64_t offset, at::Tensor & out) { return at::_ops::triu_indices_out::call(row, col, offset, out); } }