Tensorflow:会话图为空。 Python
Tensorflow: The Session graph is empty. Python
大家好,我正在使用 Tensorflow 2.0
在这些代码行中:
import tensorflow as tf
hello = tf.constant('Hello World')
sess = tf.compat.v1.Session()
sess.run(hello) <-- Error in this line
RuntimeError: The Session graph is empty. Add operations to the graph
before calling run().
知道如何解决吗?
好的,我找到方法了:
g = tf.Graph()
with g.as_default():
# Define operations and tensors in `g`.
hello = tf.constant('hello')
assert hello.graph is g
sess = tf.compat.v1.Session(graph=g)
sess.run(hello)
b'hello'
感谢您的宝贵时间!
Tensorflow 核心 r2.0 默认启用急切执行。所以,在不改变它的情况下,我们只需要改变我们的代码,如下所示 Launch the graph in a session.
> with tf.compat.v1.Session() as sess:
> # Building a graph
> hello = tf.constant("hello")
> print(sess.run(hello))
根据 Tensorflow 文档..
A default Graph is always registered, and accessible by calling
tf.compat.v1.get_default_graph
对于不需要声明 tf.Graph() 的基本操作,您可以定义一个具有更多计算和数据集的图,您可以定义一个图并调用进入session。
请参考:更多信息
https://www.tensorflow.org/api_docs/python/tf/Graph
https://github.com/OlafenwaMoses/ImageAI/issues/400
大家好,我正在使用 Tensorflow 2.0
在这些代码行中:
import tensorflow as tf
hello = tf.constant('Hello World')
sess = tf.compat.v1.Session()
sess.run(hello) <-- Error in this line
RuntimeError: The Session graph is empty. Add operations to the graph before calling run().
知道如何解决吗?
好的,我找到方法了:
g = tf.Graph()
with g.as_default():
# Define operations and tensors in `g`.
hello = tf.constant('hello')
assert hello.graph is g
sess = tf.compat.v1.Session(graph=g)
sess.run(hello)
b'hello'
感谢您的宝贵时间!
Tensorflow 核心 r2.0 默认启用急切执行。所以,在不改变它的情况下,我们只需要改变我们的代码,如下所示 Launch the graph in a session.
> with tf.compat.v1.Session() as sess:
> # Building a graph
> hello = tf.constant("hello")
> print(sess.run(hello))
根据 Tensorflow 文档..
A default Graph is always registered, and accessible by calling tf.compat.v1.get_default_graph
对于不需要声明 tf.Graph() 的基本操作,您可以定义一个具有更多计算和数据集的图,您可以定义一个图并调用进入session。
请参考:更多信息 https://www.tensorflow.org/api_docs/python/tf/Graph https://github.com/OlafenwaMoses/ImageAI/issues/400