如何获取张量的值和索引号？

# 导入相关库
import torch
import tensorflow as tf

# 创建PyTorch张量
torch_tensor = torch.tensor([1, 2, 3, 4, 5])

# 获取张量的值
torch_value = torch_tensor.item()
print("PyTorch张量的值：", torch_value)

# 获取张量的索引号
torch_index = torch_tensor.argmax()
print("PyTorch张量的索引号：", torch_index)

# 创建TensorFlow张量
tf_tensor = tf.constant([1, 2, 3, 4, 5])

# 获取张量的值
tf_value = tf_tensor.numpy().tolist()
print("TensorFlow张量的值：", tf_value)

# 获取张量的索引号
tf_index = tf.argmax(tf_tensor)
print("TensorFlow张量的索引号：", tf_index)