本文整理汇总了Python中tensorflow.python.pywrap_tensorflow.TF_PRun方法的典型用法代码示例。如果您正苦于以下问题：Python pywrap_tensorflow.TF_PRun方法的具体用法？Python pywrap_tensorflow.TF_PRun怎么用？Python pywrap_tensorflow.TF_PRun使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类tensorflow.python.pywrap_tensorflow的用法示例。
在下文中一共展示了pywrap_tensorflow.TF_PRun方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: _do_run
# 需要导入模块: from tensorflow.python import pywrap_tensorflow [as 别名]
# 或者: from tensorflow.python.pywrap_tensorflow import TF_PRun [as 别名]
def _do_run(self, handle, target_list, fetch_list, feed_dict,
options, run_metadata):
"""Runs a step based on the given fetches and feeds.
Args:
handle: a handle for partial_run. None if this is just a call to run().
target_list: A list of byte arrays corresponding to names of tensors
or operations to be run to, but not fetched.
fetch_list: A list of byte arrays corresponding to names of tensors to
be fetched and operations to be run.
feed_dict: A dictionary that maps tensor names (as byte arrays) to
numpy ndarrays.
options: A (pointer to a) [`RunOptions`] protocol buffer, or None
run_metadata: A (pointer to a) [`RunMetadata`] protocol buffer, or None
Returns:
A list of numpy ndarrays, corresponding to the elements of
`fetch_list`. If the ith element of `fetch_list` contains the
name of an operation, the first Tensor output of that operation
will be returned for that element.
Raises:
tf.errors.OpError: Or one of its subclasses on error.
"""
def _run_fn(session, feed_dict, fetch_list, target_list, options,
run_metadata):
# Ensure any changes to the graph are reflected in the runtime.
self._extend_graph()
with errors.raise_exception_on_not_ok_status() as status:
return tf_session.TF_Run(session, options,
feed_dict, fetch_list, target_list,
status, run_metadata)
def _prun_fn(session, handle, feed_dict, fetch_list):
if target_list:
raise RuntimeError('partial_run() requires empty target_list.')
with errors.raise_exception_on_not_ok_status() as status:
return tf_session.TF_PRun(session, handle, feed_dict, fetch_list,
status)
if handle is None:
return self._do_call(_run_fn, self._session, feed_dict, fetch_list,
target_list, options, run_metadata)
else:
return self._do_call(_prun_fn, self._session, handle, feed_dict,
fetch_list)