Buggy python submission (verdict: Runtime Error):
import numpy as np
H, W = map(int, input().split())
red_map = np.array([input().split() for i in range(H)], dtype="int")
blue_map = np.array([input().split() for i in range(H)], dtype="int")
sub_map = abs(red_map - blue_map)
dp = [[[] for i in range(W)] for i in range(H)]
 
for i in range(H):
  for j in range(W):
    if not i and not j:
      dp[i][j].append(sub_map[i][j])
      dp[i][j].append(-sub_map[i][j])
    if i > 0 and j > 0:
      for k in dp[i-1][j]:
        dp[i][j].append(k + sub_map[i][j])
        dp[i][j].append(k - sub_map[i][j])
      for l in dp[i][j-1]:
        dp[i][j].append(l + sub_map[i][j])
        dp[i][j].append(l - sub_map[i][j])
    if i > 0 and not j:
      for m in dp[i-1][j]:
        dp[i][j].append(m + sub_map[i][j])
        dp[i][j].append(m - sub_map[i][j])
    if j > 0 and not i:
      for n in dp[i][j-1]:
        dp[i][j].append(n + sub_map[i][j])
        dp[i][j].append(n - sub_map[i][j])

print(min(np.abs(dp[H-1][W-1])))

Fixed submission:
import numpy as np
H, W = map(int, input().split())
red_map = np.array([input().split() for i in range(H)], dtype="int")
blue_map = np.array([input().split() for i in range(H)], dtype="int")
sub_map = abs(red_map - blue_map)
dp = [[2020]*W for i in range(H)]
max_deviation = 2**(80*(H+W))

for i in range(H):
  for j in range(W):
    if not i and not j:
      dp[i][j] = (max_deviation<<sub_map[i][j] | max_deviation>>sub_map[i][j])
    if i > 0:
      dp[i][j] |= (dp[i-1][j]<<sub_map[i][j] | dp[i-1][j]>>sub_map[i][j])
    if j > 0:
      dp[i][j] |= (dp[i][j-1]<<sub_map[i][j] | dp[i][j-1]>>sub_map[i][j])
      
pre_ans = dp[H-1][W-1]>>80*(H+W)
pre_ans_bit = format(pre_ans&-pre_ans, "b")
ans = len(pre_ans_bit)-1
print(ans)

Buggy python submission (verdict: Time Limit Exceeded):
import numpy as np
H, W = map(int, input().split())
red_map = np.array([input().split() for i in range(H)], dtype="int")
blue_map = np.array([input().split() for i in range(H)], dtype="int")
sub_map = abs(red_map - blue_map)
dp = [[[] for i in range(W)] for i in range(H)]

for i in range(H):
  for j in range(W):
    if not i and not j:
      dp[i][j].append(sub_map[i][j])
      dp[i][j].append(-sub_map[i][j])
    if i > 0 and j > 0:
      for k in dp[i-1][j]:
        dp[i][j].append(k + sub_map[i][j])
        dp[i][j].append(k - sub_map[i][j])
      for l in dp[i][j-1]:
        dp[i][j].append(l + sub_map[i][j])
        dp[i][j].append(l - sub_map[i][j])
    if i > 0 and not j:
      for m in dp[i-1][j]:
        dp[i][j].append(m + sub_map[i][j])
        dp[i][j].append(m - sub_map[i][j])
    if j > 0 and not i:
      for n in dp[i][j-1]:
        dp[i][j].append(n + sub_map[i][j])
        dp[i][j].append(n - sub_map[i][j])

print(min(np.abs(dp[H-1][W-1])))

Fixed submission:
import numpy as np
H, W = map(int, input().split())
red_map = np.array([input().split() for i in range(H)], dtype="int")
blue_map = np.array([input().split() for i in range(H)], dtype="int")
sub_map = abs(red_map - blue_map)
dp = [[2020]*W for i in range(H)]
max_deviation = 2**(80*(H+W))

for i in range(H):
  for j in range(W):
    if not i and not j:
      dp[i][j] = (max_deviation<<sub_map[i][j] | max_deviation>>sub_map[i][j])
    if i > 0:
      dp[i][j] |= (dp[i-1][j]<<sub_map[i][j] | dp[i-1][j]>>sub_map[i][j])
    if j > 0:
      dp[i][j] |= (dp[i][j-1]<<sub_map[i][j] | dp[i][j-1]>>sub_map[i][j])
      
pre_ans = dp[H-1][W-1]>>80*(H+W)
pre_ans_bit = format(pre_ans&-pre_ans, "b")
ans = len(pre_ans_bit)-1
print(ans)