with.tensorflow.builtin.object

data

Expression to evaluate within the context

expr

Name of variable to assign context to for the duration of the
expression's evaluation (optional).


The <code>with</code> method for objects of type <code>tensorflow.builtin.object</code>
implements the context manager protocol used by the Python <code>with</code>
statement. The passed object must implement the
<a href="https://docs.python.org/2/reference/datamodel.html#context-managers">context
manager</a> (<code>__enter__</code> and <code>__exit__</code> methods.


TensorFlow is an open source software library for
numerical computation using data flow graphs. Nodes in the
graph represent mathematical operations, while the graph edges
represent the multidimensional data arrays (tensors) communicated
between them. The flexible architecture allows you to deploy
computation to one or more CPUs or GPUs in a desktop, server, or
mobile device with a single API. TensorFlow was originally developed
by researchers and engineers working on the Google Brain Team within
Google's Machine Intelligence research organization for the purposes
of conducting machine learning and deep neural networks research,
but the system is general enough to be applicable in a wide variety
of other domains as well.

JJ Allaire

tensorflow

R Interface to TensorFlow

with.tensorflow.builtin.object function


The <code>with</code> method for objects of type <code>tensorflow.builtin.object</code>
implements the context manager protocol used by the Python <code>with</code>
statement. The passed object must implement the
<a href = 'https://docs.python.org/2/reference/datamodel.html#context-managers'>context
manager</a> (<code>__enter__</code> and <code>__exit__</code> methods.


with.tensorflow.builtin.object: Evaluate an expression within a context.

Description

Usage

Arguments