Here is a simple method:
# 1 reduce
import functools
max_tensor = functools.reduce(torch.max, [a, b, c])

# 2 for
tensor_list = [a, b, c]
max_tensor = tensor_list[0]
for tensor in tensor_list[1:]:
    max_tensor = torch.max(max_tensor, tensor)