(self, dev)
| 584 | self._Tan_helper(gpu_dev) |
| 585 | |
| 586 | def _Tanh_helper(self, dev): |
| 587 | x = np.array([0.1, -1.0, 0.4, 4.0, -0.9, |
| 588 | 9.0]).reshape(3, 2).astype(np.float32) |
| 589 | x = tensor.from_numpy(x) |
| 590 | y = autograd.Tanh()(x)[0] |
| 591 | |
| 592 | # frontend |
| 593 | model = sonnx.to_onnx([x], [y]) |
| 594 | # print('The model is:\n{}'.format(model)) |
| 595 | |
| 596 | # backend |
| 597 | sg_ir = sonnx.prepare(model, device=dev) |
| 598 | sg_ir.is_graph = True |
| 599 | y_t = sg_ir.run([x]) |
| 600 | |
| 601 | np.testing.assert_array_almost_equal(tensor.to_numpy(y), |
| 602 | tensor.to_numpy(y_t[0]), |
| 603 | decimal=5) |
| 604 | |
| 605 | def test_Tanh_cpu(self): |
| 606 | self._Tanh_helper(cpu_dev) |
no test coverage detected