Python – tensorflow.get_static_value()
TensorFlow 是由 Google 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。
get_static_value()用于计算 Tensor 的静态值。如果无法计算静态值,它将返回 None。
Syntax: tensorflow.get_static_value(tensor, partial)
Parameters:
- tensor: It is the input Tensor whose static value need to be calculated.
- partial: Either True of False with default value set to False. It is set to True to allow returned array to have partially calculated values.
Returns: It returns a numpy ndarray that contains the calculated result.
示例 1:
Python3
# Importing the library
import tensorflow as tf
# Initializing the input
data = tf.constant([[1, 2, 3], [3, 4, 5], [5, 6, 7]])
# Printing the input
print('data: ',data)
# Calculating result
res = tf.get_static_value(data)
# Printing the result
print('res: ',res)
Python3
# Importing the library
import tensorflow as tf
# Initializing the input
data = tf.Variable([[1, 2, 3], [3, 4, 5], [5, 6, 7]])
# Printing the input
print('data: ',data)
# Calculating result
res = tf.get_static_value(data)
# Printing the result
print('res: ',res)
输出:
data: tf.Tensor(
[[1 2 3]
[3 4 5]
[5 6 7]], shape=(3, 3), dtype=int32)
res: [[1 2 3]
[3 4 5]
[5 6 7]]
示例 2:
Python3
# Importing the library
import tensorflow as tf
# Initializing the input
data = tf.Variable([[1, 2, 3], [3, 4, 5], [5, 6, 7]])
# Printing the input
print('data: ',data)
# Calculating result
res = tf.get_static_value(data)
# Printing the result
print('res: ',res)
输出:
data:
res: None