| #include <ATen/ATen.h> |
| #include <ATen/NativeFunctions.h> |
| |
| // The stubs in here are used by dynamic dispatch. It just redirects everything |
| // to the Tensor method we manually bind in TensorBody.h. |
| |
| namespace at { |
| namespace native { |
| |
| void _backward(const Tensor& self, TensorList inputs, const c10::optional<Tensor>& gradient_opt, c10::optional<bool> keep_graph, bool create_graph) { |
| return self._backward(inputs, gradient_opt, keep_graph, create_graph); |
| } |
| |
| void set_data(Tensor& self, const Tensor& new_data) { |
| return self.set_data(new_data); |
| } |
| |
| Tensor data(const Tensor& self) { |
| return self.data(); |
| } |
| |
| bool is_leaf(const Tensor& self) { |
| return self.is_leaf(); |
| } |
| |
| int64_t output_nr(const Tensor& self) { |
| return self.output_nr(); |
| } |
| |
| int64_t _version(const Tensor& self) { |
| return self._version(); |
| } |
| |
| Tensor& requires_grad_(Tensor& self, bool _requires_grad) { |
| self.requires_grad_(_requires_grad); |
| return self; |
| } |
| |
| void retain_grad(Tensor& self) { |
| return self.retain_grad(); |
| } |
| |
| bool retains_grad(const Tensor& self) { |
| return self.retains_grad(); |
| } |
| |
| Tensor _fw_primal(const Tensor& self, int64_t level) { |
| AT_ERROR("_fw_primal is not implemented for Tensor"); |
| } |
| |
| } // namespace native |
| } // namespace at |