Python – tensorflow.GradientTape.stop_recording()

TensorFlow是谷歌设计的开源Python库，用于开发机器学习模型和深度学习神经网络。

stop_recording()是用来暂时停止录音操作的。如果磁带没有记录，它将引发一个错误。

语法: tensorflow.GradientTape.stop_recording()

参数：它不接受任何参数。

返回值: None

抛出:

• RunTimeError：如果磁带目前没有记录，它将引发RunTimeError。

示例 1:

# Importing the library
import tensorflow as tf
  
x = tf.constant(4.0)
  
# Using GradientTape
with tf.GradientTape() as gfg:
  gfg.watch(x)
  
  # Stop recording
  with gfg.stop_recording():
    y = x * x * x
  
# Computing gradient
res = gfg.gradient(y, x) 
  
# Printing result
print("res: ", res)

输出:

res:  None

示例 2:

# Importing the library
import tensorflow as tf
  
x = tf.constant(4.0)
  
# Using GradientTape
with tf.GradientTape() as gfg:
  gfg.watch(x)
  
  # Stop recording
  with gfg.stop_recording():
    y = x * x * x
  
  # Starting the recording again
  gfg.watch(x)
  y = x * x
  
# Computing gradient
res = gfg.gradient(y, x) 
  
# Printing result
print("res: ", res)

输出:

res:  tf.Tensor(8.0, shape=(), dtype=float32)