(self, dev)
| 1072 | self._HardSigmoid_helper(gpu_dev) |
| 1073 | |
| 1074 | def _identity_helper(self, dev): |
| 1075 | x = np.array([-0.9, -0.3, -0.1, 0.1, 0.5, |
| 1076 | 0.9]).reshape(3, 2).astype(np.float32) |
| 1077 | x = tensor.from_numpy(x) |
| 1078 | x.to_device(dev) |
| 1079 | |
| 1080 | y = autograd.identity(x) |
| 1081 | |
| 1082 | # frontend |
| 1083 | model = sonnx.to_onnx([x], [y]) |
| 1084 | # print('The model is:\n{}'.format(model)) |
| 1085 | |
| 1086 | # backend |
| 1087 | sg_ir = sonnx.prepare(model, device=dev) |
| 1088 | sg_ir.is_graph = True |
| 1089 | y_t = sg_ir.run([x]) |
| 1090 | |
| 1091 | np.testing.assert_array_almost_equal(tensor.to_numpy(y), |
| 1092 | tensor.to_numpy(y_t[0]), |
| 1093 | decimal=5) |
| 1094 | |
| 1095 | def test_identity_cpu(self): |
| 1096 | self._identity_helper(cpu_dev) |
no test coverage detected