(self, dev)
| 1156 | self._softsign_helper(gpu_dev) |
| 1157 | |
| 1158 | def _mean_helper(self, dev): |
| 1159 | x0 = np.array([-0.9, -0.3, -0.1, 0.1, 0.5, |
| 1160 | 0.9]).reshape(3, 2).astype(np.float32) |
| 1161 | x1 = np.array([0, -0.3, 0, 0.1, 0, 0.9]).reshape(3, |
| 1162 | 2).astype(np.float32) |
| 1163 | x0 = tensor.from_numpy(x0) |
| 1164 | x1 = tensor.from_numpy(x1) |
| 1165 | x0.to_device(dev) |
| 1166 | x1.to_device(dev) |
| 1167 | |
| 1168 | y = autograd.mean(x0, x1) |
| 1169 | |
| 1170 | # frontend |
| 1171 | model = sonnx.to_onnx([x0, x1], [y]) |
| 1172 | # print('The model is:\n{}'.format(model)) |
| 1173 | |
| 1174 | # backend |
| 1175 | sg_ir = sonnx.prepare(model, device=dev) |
| 1176 | sg_ir.is_graph = True |
| 1177 | y_t = sg_ir.run([x0, x1]) |
| 1178 | |
| 1179 | np.testing.assert_array_almost_equal(tensor.to_numpy(y), |
| 1180 | tensor.to_numpy(y_t[0]), |
| 1181 | decimal=5) |
| 1182 | |
| 1183 | def test_mean_cpu(self): |
| 1184 | self._mean_helper(cpu_dev) |
no test coverage detected