#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::embedding_renorm_(Tensor(a!) self, Tensor indices, float max_norm, float norm_type) -> Tensor(a!) inline at::Tensor & embedding_renorm_(at::Tensor & self, const at::Tensor & indices, double max_norm, double norm_type) { return at::_ops::embedding_renorm_::call(self, indices, max_norm, norm_type); } // aten::embedding_renorm.out(Tensor self, Tensor indices, float max_norm, float norm_type, *, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & embedding_renorm_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & indices, double max_norm, double norm_type) { return at::_ops::embedding_renorm_out::call(self, indices, max_norm, norm_type, out); } // aten::embedding_renorm.out(Tensor self, Tensor indices, float max_norm, float norm_type, *, Tensor(a!) out) -> Tensor(a!) inline at::Tensor & embedding_renorm_outf(const at::Tensor & self, const at::Tensor & indices, double max_norm, double norm_type, at::Tensor & out) { return at::_ops::embedding_renorm_out::call(self, indices, max_norm, norm_type, out); } // aten::embedding_renorm(Tensor self, Tensor indices, float max_norm, float norm_type) -> Tensor inline at::Tensor embedding_renorm(const at::Tensor & self, const at::Tensor & indices, double max_norm, double norm_type) { return at::_ops::embedding_renorm::call(self, indices, max_norm, norm_type); } }