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