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<div class="section" id="module-apache_beam.io.tfrecordio">
<span id="apache-beam-io-tfrecordio-module"></span><h1>apache_beam.io.tfrecordio module<a class="headerlink" href="#module-apache_beam.io.tfrecordio" title="Permalink to this headline"></a></h1>
<p>TFRecord sources and sinks.</p>
<dl class="class">
<dt id="apache_beam.io.tfrecordio.ReadAllFromTFRecord">
<em class="property">class </em><code class="descclassname">apache_beam.io.tfrecordio.</code><code class="descname">ReadAllFromTFRecord</code><span class="sig-paren">(</span><em>coder=BytesCoder</em>, <em>compression_type='auto'</em>, <em>with_filename=False</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/io/tfrecordio.html#ReadAllFromTFRecord"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.io.tfrecordio.ReadAllFromTFRecord" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="apache_beam.transforms.ptransform.html#apache_beam.transforms.ptransform.PTransform" title="apache_beam.transforms.ptransform.PTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">apache_beam.transforms.ptransform.PTransform</span></code></a></p>
<p>A <code class="docutils literal notranslate"><span class="pre">PTransform</span></code> for reading a <code class="docutils literal notranslate"><span class="pre">PCollection</span></code> of TFRecord files.</p>
<p>Initialize the <code class="docutils literal notranslate"><span class="pre">ReadAllFromTFRecord</span></code> transform.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first last simple">
<li><strong>coder</strong> – Coder used to decode each record.</li>
<li><strong>compression_type</strong> – Used to handle compressed input files. Default value
is CompressionTypes.AUTO, in which case the file_path’s extension will
be used to detect the compression.</li>
<li><strong>with_filename</strong> – If True, returns a Key Value with the key being the file
name and the value being the actual data. If False, it only returns
the data.</li>
</ul>
</td>
</tr>
</tbody>
</table>
<dl class="method">
<dt id="apache_beam.io.tfrecordio.ReadAllFromTFRecord.expand">
<code class="descname">expand</code><span class="sig-paren">(</span><em>pvalue</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/io/tfrecordio.html#ReadAllFromTFRecord.expand"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.io.tfrecordio.ReadAllFromTFRecord.expand" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="class">
<dt id="apache_beam.io.tfrecordio.ReadFromTFRecord">
<em class="property">class </em><code class="descclassname">apache_beam.io.tfrecordio.</code><code class="descname">ReadFromTFRecord</code><span class="sig-paren">(</span><em>file_pattern</em>, <em>coder=BytesCoder</em>, <em>compression_type='auto'</em>, <em>validate=True</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/io/tfrecordio.html#ReadFromTFRecord"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.io.tfrecordio.ReadFromTFRecord" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="apache_beam.transforms.ptransform.html#apache_beam.transforms.ptransform.PTransform" title="apache_beam.transforms.ptransform.PTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">apache_beam.transforms.ptransform.PTransform</span></code></a></p>
<p>Transform for reading TFRecord sources.</p>
<p>Initialize a ReadFromTFRecord transform.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
<li><strong>file_pattern</strong> – A file glob pattern to read TFRecords from.</li>
<li><strong>coder</strong> – Coder used to decode each record.</li>
<li><strong>compression_type</strong> – Used to handle compressed input files. Default value
is CompressionTypes.AUTO, in which case the file_path’s extension will
be used to detect the compression.</li>
<li><strong>validate</strong> – Boolean flag to verify that the files exist during the pipeline
creation time.</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">A ReadFromTFRecord transform object.</p>
</td>
</tr>
</tbody>
</table>
<dl class="method">
<dt id="apache_beam.io.tfrecordio.ReadFromTFRecord.expand">
<code class="descname">expand</code><span class="sig-paren">(</span><em>pvalue</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/io/tfrecordio.html#ReadFromTFRecord.expand"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.io.tfrecordio.ReadFromTFRecord.expand" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
<dl class="class">
<dt id="apache_beam.io.tfrecordio.WriteToTFRecord">
<em class="property">class </em><code class="descclassname">apache_beam.io.tfrecordio.</code><code class="descname">WriteToTFRecord</code><span class="sig-paren">(</span><em>file_path_prefix</em>, <em>coder=BytesCoder</em>, <em>file_name_suffix=''</em>, <em>num_shards=0</em>, <em>shard_name_template=None</em>, <em>compression_type='auto'</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/io/tfrecordio.html#WriteToTFRecord"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.io.tfrecordio.WriteToTFRecord" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="apache_beam.transforms.ptransform.html#apache_beam.transforms.ptransform.PTransform" title="apache_beam.transforms.ptransform.PTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">apache_beam.transforms.ptransform.PTransform</span></code></a></p>
<p>Transform for writing to TFRecord sinks.</p>
<p>Initialize WriteToTFRecord transform.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
<li><strong>file_path_prefix</strong> – The file path to write to. The files written will begin
with this prefix, followed by a shard identifier (see num_shards), and
end in a common extension, if given by file_name_suffix.</li>
<li><strong>coder</strong> – Coder used to encode each record.</li>
<li><strong>file_name_suffix</strong> – Suffix for the files written.</li>
<li><strong>num_shards</strong> – The number of files (shards) used for output. If not set, the
default value will be used.</li>
<li><strong>shard_name_template</strong> – A template string containing placeholders for
the shard number and shard count. When constructing a filename for a
particular shard number, the upper-case letters ‘S’ and ‘N’ are
replaced with the 0-padded shard number and shard count respectively.
This argument can be ‘’ in which case it behaves as if num_shards was
set to 1 and only one file will be generated. The default pattern used
is ‘-SSSSS-of-NNNNN’ if None is passed as the shard_name_template.</li>
<li><strong>compression_type</strong> – Used to handle compressed output files. Typical value
is CompressionTypes.AUTO, in which case the file_path’s extension will
be used to detect the compression.</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">A WriteToTFRecord transform object.</p>
</td>
</tr>
</tbody>
</table>
<dl class="method">
<dt id="apache_beam.io.tfrecordio.WriteToTFRecord.expand">
<code class="descname">expand</code><span class="sig-paren">(</span><em>pcoll</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/io/tfrecordio.html#WriteToTFRecord.expand"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#apache_beam.io.tfrecordio.WriteToTFRecord.expand" title="Permalink to this definition"></a></dt>
<dd></dd></dl>
</dd></dl>
</div>
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