Tensorflow的client里的session.py模块

最新推荐文章于 2024-06-28 08:49:48 发布

xky1306102chenhong

最新推荐文章于 2024-06-28 08:49:48 发布

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本文链接：https://blog.youkuaiyun.com/xky1306102chenhong/article/details/79066352

本文档介绍了TensorFlow客户端的Session接口，包括Session和InteractiveSession。这两个类并未直接实现`run()`方法，而是继承自BaseSession的`run()`方法，用于执行计算图。

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session.py-------"""A client interface for TensorFlow."""

object->SessionInterface->BaseSession->Session

object->SessionInterface->BaseSession->InteractiveSession

Session和InteractiveSession里没有run()方法，而是调用父类的run()

BaseSession中run方法：

 def run(self, fetches, feed_dict=None, options=None, run_metadata=None):
    """Runs operations and evaluates tensors in `fetches`.

    This method runs one "step" of TensorFlow computation, by
    running the necessary graph fragment to execute every `Operation`
    and evaluate every `Tensor` in `fetches`, substituting the values in
    `feed_dict` for the corresponding input values.

    The `fetches` argument may be a single graph element, or an arbitrarily
    nested list, tuple, namedtuple, or dict containing graph elements at its
    leaves.  A graph element can be one of the following types: