(self, dev)
| 506 | self._Cosh_helper(gpu_dev) |
| 507 | |
| 508 | def _Sin_helper(self, dev): |
| 509 | x = np.array([0.1, -1.0, 0.4, 4.0, -0.9, |
| 510 | 9.0]).reshape(3, 2).astype(np.float32) |
| 511 | x = tensor.from_numpy(x) |
| 512 | y = autograd.Sin()(x)[0] |
| 513 | |
| 514 | # frontend |
| 515 | model = sonnx.to_onnx([x], [y]) |
| 516 | # print('The model is:\n{}'.format(model)) |
| 517 | |
| 518 | # backend |
| 519 | sg_ir = sonnx.prepare(model, device=dev) |
| 520 | sg_ir.is_graph = True |
| 521 | y_t = sg_ir.run([x]) |
| 522 | |
| 523 | np.testing.assert_array_almost_equal(tensor.to_numpy(y), |
| 524 | tensor.to_numpy(y_t[0]), |
| 525 | decimal=5) |
| 526 | |
| 527 | def test_Sin_cpu(self): |
| 528 | self._Sin_helper(cpu_dev) |
no test coverage detected