本文整理匯總了Python中tensorflow.python.pywrap_tensorflow.TF_NewBuffer方法的典型用法代碼示例。如果您正苦於以下問題：Python pywrap_tensorflow.TF_NewBuffer方法的具體用法？Python pywrap_tensorflow.TF_NewBuffer怎麽用？Python pywrap_tensorflow.TF_NewBuffer使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類tensorflow.python.pywrap_tensorflow的用法示例。
在下文中一共展示了pywrap_tensorflow.TF_NewBuffer方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: tf_buffer
# 需要導入模塊: from tensorflow.python import pywrap_tensorflow [as 別名]
# 或者: from tensorflow.python.pywrap_tensorflow import TF_NewBuffer [as 別名]
def tf_buffer():
"""Context manager that creates and deletes TF_Buffer.
Example usage:
wtih tf_buffer() as buf:
# get serialized graph def into buf
...
proto_data = c_api.TF_GetBuffer(buf)
graph_def.ParseFromString(compat.as_bytes(proto_data))
# buf has been deleted
Yields:
Created TF_Buffer
"""
buf = c_api.TF_NewBuffer()
try:
yield buf
finally:
c_api.TF_DeleteBuffer(buf) 開發者ID:PacktPublishing，項目名稱:Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda，代碼行數:21，代碼來源:c_api_util.py