pytorch打印变量

import torch
#state_dict = torch.load("/home/llama-33B_epoch_0000_step_0004.pt/llama.bin")
#state_dict = torch.load("/home/ckpt/llama/30B/consolidated.00.pth")
#state_dict = torch.load('/home/ckpt/llama/33B/checkpoints/actor/llama-33B_epoch_0000_step_0004.pt/global_step5/mp_rank_02_model_states.pt')
#state_dict = torch.load('/home/ckpt/trainllama/train_zero2_step0/actor/llama-33B_epoch_000_step_000.pt/llama_0.bin')
#state_dict = torch.load('/home/ckpt/llama/llama-7B_epoch_0000_step_2199.pt/global_step2200/bf16_zero_pp_rank_0_mp_rank_00_optim_states.pt')
state_dict = torch.load('/home/ckpt/llama/65B/checkpoints/actor/llama-65B_epoch_0000000_step_0069999.pt/65b_4.bin')
print(type(state_dict))

for i in state_dict:
   #if i == 'model.layers.1.attention.wq.weight':
       print(i)
       print(type(state_dict[i]))
       #print("value:",state_dict[i].shape)
       print("value:",state_dict[i][0:10,0:5])
       #print("value:",state_dict[i].data.size())
       #print("value:",state_dict[i].data)