monotonic_align/core.py

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