autographtensorflow

2018年7月17日—AutoGraphisatoolthatletsyoueasilybuildintuitive,complicatedmodelsthatruneffortlesslyintheTensorFlowgraph.Thisisan ...,AutoGraph.ThisrepositorycontainstestsandexamplecodeforTensorFlowAutoGraph.Formoreinformation,see:tf.functionandAutoGraphguide·AutoGraph ...,AutomaticControlDependencies.有side-effect的運算元：tf.assign和tf.print等運算元。這些運算元被包覆在tf.function的時候，在執行...

參考資訊如下
AutoGraph converts Python into TensorFlow graphs

2018年7月17日 — AutoGraph is a tool that lets you easily build intuitive, complicated models that run effortlessly in the TensorFlow graph. This is an ...

tensorflowautograph

AutoGraph. This repository contains tests and example code for TensorFlow AutoGraph. For more information, see: tf.function and AutoGraph guide · AutoGraph ...

Day 19: Tensorflow 2.0 再造訪AutoGraph

Automatic Control Dependencies. 有side-effect 的運算元： tf.assign 和 tf.print 等運算元。這些運算元被包覆在 tf.function 的時候，在執行前會先自動設立執行的相依 ...

tf.autograph.to_graph

Converts a Python entity into a TensorFlow graph.

Better performance with tf.function

2023年11月28日 — AutoGraph is a library that is on by default in tf.function , and transforms a subset of Python eager code into graph-compatible TensorFlow ops.

tf.autograph.trace

Traces argument information at compilation time. View aliases. Compat aliases for migration. See Migration guide for more details.

tf.autograph.to_code

Returns the source code generated by AutoGraph, as a string.

Module: tf.autograph

2022年10月25日 — AutoGraph transforms a subset of Python which operates on TensorFlow objects into equivalent TensorFlow graph code. When executing the graph, it ...

tf.autograph.experimental.set_loop_options

Allows controlling the argument with the same name passed to tf.while_loop. Unlike tf.while_loop, this is a list of (tensor, shape) pairs.

Module

2022年10月25日 — AutoGraph transforms a subset of Python which operates on TensorFlow objects into equivalent TensorFlow graph code. When executing the graph, it ...