(self, dev=gpu_dev)
| 526 | x.gaussian(0, 1) |
| 527 | |
| 528 | def _kfloat32_int(self, dev=gpu_dev): |
| 529 | np.random.seed(0) |
| 530 | x_val = np.random.random((2, 3)).astype(np.float32) * 10 |
| 531 | x = tensor.from_numpy(x_val) |
| 532 | x.to_device(dev) |
| 533 | scalar = np.random.random((1,))[0] * 100 |
| 534 | y = x + scalar |
| 535 | self.assertEqual(y.dtype, tensor.float32) |
| 536 | np.testing.assert_array_almost_equal(tensor.to_numpy(y), x_val + scalar) |
| 537 | |
| 538 | @unittest.skipIf(not singa_api.USE_CUDA, 'CUDA is not enabled') |
| 539 | def test_kfloat32_int_gpu(self): |
no test coverage detected