#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_softmax.int(Tensor self, int dim, ScalarType? dtype=None) -> Tensor inline at::Tensor _sparse_softmax(const at::Tensor & self, int64_t dim, c10::optional dtype=c10::nullopt) { return at::_ops::_sparse_softmax_int::call(self, dim, dtype); } // aten::_sparse_softmax.Dimname(Tensor self, Dimname dim, *, ScalarType? dtype=None) -> Tensor inline at::Tensor _sparse_softmax(const at::Tensor & self, at::Dimname dim, c10::optional dtype=c10::nullopt) { return at::_ops::_sparse_softmax_Dimname::call(self, dim, dtype); } // aten::_sparse_softmax(Tensor self, int dim, bool half_to_float) -> Tensor inline at::Tensor _sparse_softmax(const at::Tensor & self, int64_t dim, bool half_to_float) { return at::_ops::_sparse_softmax::call(self, dim, half_to_float); } // aten::_sparse_softmax.out(Tensor self, int dim, bool half_to_float, *, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & _sparse_softmax_out(at::Tensor & out, const at::Tensor & self, int64_t dim, bool half_to_float) { return at::_ops::_sparse_softmax_out::call(self, dim, half_to_float, out); } // aten::_sparse_softmax.out(Tensor self, int dim, bool half_to_float, *, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & _sparse_softmax_outf(const at::Tensor & self, int64_t dim, bool half_to_float, at::Tensor & out) { return at::_ops::_sparse_softmax_out::call(self, dim, half_to_float, out); } }