tf.Graph().as_default

简介:
as_default() method of tensorflow.python.framework.ops.Graph instance
    Returns a context manager that makes this `Graph` the default graph.
    
    This method should be used if you want to create multiple graphs
    in the same process. For convenience, a global default graph is
    provided, and all ops will be added to this graph if you do not
    create a new graph explicitly. Use this method with the `with` keyword
    to specify that ops created within the scope of a block should be
    added to this graph.
    
    The default graph is a property of the current thread. If you
    create a new thread, and wish to use the default graph in that
    thread, you must explicitly add a `with g.as_default():` in that
    thread's function.
    
    The following code examples are equivalent:
    
    ```python
    # 1. Using Graph.as_default():
    g = tf.Graph()
    with g.as_default():
      c = tf.constant(5.0)
      assert c.graph is g
    
    # 2. Constructing and making default:
    with tf.Graph().as_default() as g:
      c = tf.constant(5.0)
      assert c.graph is g
    ```
    
    Returns:
      A context manager for using this graph as the default graph.

目录
相关文章
|
4月前
|
TensorFlow 算法框架/工具
【Tensorflow】解决A `Concatenate` layer should be called on a list of at least 2 inputs
在TensorFlow 2.0中,使用Concatenate函数时出现错误,可以通过替换为tf.concat 来解决。
48 4
|
7月前
|
编解码 算法 Python
ImportError: cannot import name ‘_update_worker_pids’ from ‘torch._C’
ImportError: cannot import name ‘_update_worker_pids’ from ‘torch._C’
96 0
|
API 数据格式
TensorFlow2._:model.summary() Output Shape为multiple解决方法
TensorFlow2._:model.summary() Output Shape为multiple解决方法
290 0
TensorFlow2._:model.summary() Output Shape为multiple解决方法
|
API
No module named 'plotly.graph_objects'问题解决
No module named 'plotly.graph_objects'问题解决
374 0
No module named 'plotly.graph_objects'问题解决
Can‘t get attribute ‘SiLU‘ on <module ‘torch.nn.modules.activation‘
Can‘t get attribute ‘SiLU‘ on <module ‘torch.nn.modules.activation‘
AttributeError: module ‘torch.utils‘ has no attribute ‘data‘
属性错误:模块的'torch.utils'没有属性'data'
111 0
|
TensorFlow API 算法框架/工具
解决AttributeError: module ‘keras.utils‘ has no attribute ‘plot_model‘
解决AttributeError: module ‘keras.utils‘ has no attribute ‘plot_model‘
348 0
解决AttributeError: module ‘keras.utils‘ has no attribute ‘plot_model‘
|
JSON 数据格式
ValueError: With n_samples=0, test_size=0.15 and train_size=None, the resulting train set will be em
ValueError: With n_samples=0, test_size=0.15 and train_size=None, the resulting train set will be em
543 0
ValueError: With n_samples=0, test_size=0.15 and train_size=None, the resulting train set will be em
torch.autograd.Function 学习理解
文章目录 前言 一、概述 二、例程 三、官方的demo(指数函数)
340 0
|
算法框架/工具 Windows