as_tensor

as_tensor.default

as_tensor.double

<code>NULL</code>, a tensorflow dtype (<code>tf$int32</code>), or something coercible
to one (e.g. a string <code>"int32"</code>)

dtype

..., 

<code>NULL</code> or a string. Useful for debugging in graph mode, ignored
while in eager mode.

name

an integer vector, tensor, or <code>tf.TensorShape</code>. Can contain up
to 1 unspecified dimension, encoded as a <code>-1</code> or <code>NA</code>. This will reshape
<code>x</code> using row-major (C-style) semantics. It will prefer reshaping using
non-graph operations if possible, but will otherwise invoke <code>tf$reshape()</code>.
If <code>x</code> is a scalar and the requested <code>shape</code> is fully defined or a tensor,
the value of <code>x</code> will be recycled to fill a tensor of the requested shape
(it will dispatch to <code>tf$fill()</code>).

shape

Coerce objects to tensorflow tensors (potentially of a specific dtype or shape). The
provided default methods will call
<a href="https://www.tensorflow.org/api_docs/python/tf/convert_to_tensor"><code>tf.convert_to_tensor</code></a>. Depending on arguments supplied it may also call some combination of<ul>
<li><a href="https://www.tensorflow.org/api_docs/python/tf/cast"><code>tf.dtypes.saturate_cast</code></a></li>
<li>tf.fill or tf.reshape</li>
<li></li>
</ul>

Interface to 'TensorFlow' <https://www.tensorflow.org/>,
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.

Tomasz Kalinowski

tensorflow

R Interface to 'TensorFlow'

Daniel Falbel

JJ Allaire

RStudio 

Yuan Tang

Dirk Eddelbuettel

Nick Golding

Google Inc. 

as_tensor function

<dl><dt>x</dt>
<dd>object to convert</dd>
<dt>dtype</dt>
<dd><code>NULL</code>, a tensorflow dtype (<code>tf$int32</code>), or something coercible
to one (e.g. a string <code>"int32"</code>)</dd>
<dt>..., </dt>
<dd>ignored</dd>
<dt>name</dt>
<dd><code>NULL</code> or a string. Useful for debugging in graph mode, ignored
while in eager mode.</dd>
<dt>shape</dt>
<dd>an integer vector, tensor, or <code>tf.TensorShape</code>. Can contain up
to 1 unspecified dimension, encoded as a <code>-1</code> or <code>NA</code>. This will reshape
<code>x</code> using row-major (C-style) semantics. It will prefer reshaping using
non-graph operations if possible, but will otherwise invoke <code>tf$reshape()</code>.
If <code>x</code> is a scalar and the requested <code>shape</code> is fully defined or a tensor,
the value of <code>x</code> will be recycled to fill a tensor of the requested shape
(it will dispatch to <code>tf$fill()</code>).</dd></dl>

Arguments

Coerce objects to tensorflow tensors (potentially of a specific dtype or shape). The
provided default methods will call
<a href='https://www.tensorflow.org/api_docs/python/tf/convert_to_tensor'><code>tf.convert_to_tensor</code></a>. Depending on arguments supplied it may also call some combination of<ul>
<li><a href='https://www.tensorflow.org/api_docs/python/tf/cast'><code>tf.dtypes.saturate_cast</code></a></li>
<li>tf.fill or tf.reshape</li>
<li></li>
</ul>

as_tensor — as_tensor

<dl>

<dt>x</dt>
<dd>object to convert</dd>


<dt>dtype</dt>
<dd><code>NULL</code>, a tensorflow dtype (<code>tf$int32</code>), or something coercible
to one (e.g. a string <code>"int32"</code>)</dd>


<dt>..., </dt>
<dd>ignored</dd>


<dt>name</dt>
<dd><code>NULL</code> or a string. Useful for debugging in graph mode, ignored
while in eager mode.</dd>


<dt>shape</dt>
<dd>an integer vector, tensor, or <code>tf.TensorShape</code>. Can contain up
to 1 unspecified dimension, encoded as a <code>-1</code> or <code>NA</code>. This will reshape
<code>x</code> using row-major (C-style) semantics. It will prefer reshaping using
non-graph operations if possible, but will otherwise invoke <code>tf$reshape()</code>.
If <code>x</code> is a scalar and the requested <code>shape</code> is fully defined or a tensor,
the value of <code>x</code> will be recycled to fill a tensor of the requested shape
(it will dispatch to <code>tf$fill()</code>).</dd>

</dl>

as_tensor: as_tensor

Description

Usage

Value

Arguments

Examples