tf_function: Creates a callable TensorFlow graph from an R function.

Description Usage Arguments Details

View source: R/eager.R

Description

tf_function constructs a callable that executes a TensorFlow graph created by tracing the TensorFlow operations in f. This allows the TensorFlow runtime to apply optimizations and exploit parallelism in the computation defined by f.

Usage

1
tf_function(f, input_signature = NULL, autograph = TRUE, ...)

Arguments

f

the function to be compiled

input_signature

A possibly nested sequence of tf$TensorSpec objects specifying the shapes and dtypes of the tensors that will be supplied to this function. If NULL, a separate function is instantiated for each inferred input signature. If input_signature is specified, every input to f must be a tensor.

autograph

TRUE or FALSE. If TRUE (the default), you can use tensors in R control flow expressions if, while, for and break and they will be traced into the tensorflow graph. A guide to getting started and additional details can be found: here

...

additional arguments passed on to tf.function (vary based on Tensorflow version). See here for details.

Details

A guide to getting started with tf.function can be found here.


tensorflow documentation built on Aug. 20, 2021, 1:11 a.m.