| import numba |
|
|
|
|
| @numba.jit(numba.void(numba.int32[:, :, ::1], numba.float32[:, :, ::1], numba.int32[::1], numba.int32[::1]), |
| nopython=True, nogil=True) |
| def maximum_path_jit(paths, values, t_ys, t_xs): |
| b = paths.shape[0] |
| max_neg_val = -1e9 |
| for i in range(int(b)): |
| path = paths[i] |
| value = values[i] |
| t_y = t_ys[i] |
| t_x = t_xs[i] |
|
|
| v_prev = v_cur = 0.0 |
| index = t_x - 1 |
|
|
| for y in range(t_y): |
| for x in range(max(0, t_x + y - t_y), min(t_x, y + 1)): |
| if x == y: |
| v_cur = max_neg_val |
| else: |
| v_cur = value[y - 1, x] |
| if x == 0: |
| if y == 0: |
| v_prev = 0. |
| else: |
| v_prev = max_neg_val |
| else: |
| v_prev = value[y - 1, x - 1] |
| value[y, x] += max(v_prev, v_cur) |
|
|
| for y in range(t_y - 1, -1, -1): |
| path[y, index] = 1 |
| if index != 0 and (index == y or value[y - 1, index] < value[y - 1, index - 1]): |
| index = index - 1 |
|
|
