(seed, shape, low=-1, high=1)
| 77 | return apply(op, ograd) |
| 78 | |
| 79 | def gen_elemadd_data(seed, shape, low=-1, high=1): |
| 80 | rng = np.random.RandomState(seed=seed) |
| 81 | lhs_np = rng.uniform(low=low, high=high, size=shape).astype(np.float32) |
| 82 | rhs_np = rng.uniform(low=low, high=high, size=shape).astype(np.float32) |
| 83 | ograd_np = rng.uniform(low=low, high=high, size=shape).astype(np.float32) |
| 84 | return lhs_np, rhs_np, ograd_np |
| 85 | |
| 86 | def builtin_func(lhs, rhs, smooth): |
| 87 | out = lhs + rhs |
no test coverage detected