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Posted to commits@arrow.apache.org by uw...@apache.org on 2018/05/18 07:47:30 UTC

[29/51] [partial] arrow-site git commit: Update API docs

http://git-wip-us.apache.org/repos/asf/arrow-site/blob/c77df435/docs/cpp/cuda__memory_8h_source.html
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diff --git a/docs/cpp/cuda__memory_8h_source.html b/docs/cpp/cuda__memory_8h_source.html
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--- a/docs/cpp/cuda__memory_8h_source.html
+++ b/docs/cpp/cuda__memory_8h_source.html
@@ -70,24 +70,24 @@ $(function() {
 <div class="title">cuda_memory.h</div>  </div>
 </div><!--header-->
 <div class="contents">
-<a href="cuda__memory_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">// Licensed to the Apache Software Foundation (ASF) under one</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// or more contributor license agreements.  See the NOTICE file</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">// distributed with this work for additional information</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">// regarding copyright ownership.  The ASF licenses this file</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment">// to you under the Apache License, Version 2.0 (the</span></div><div class="line"><a name="l00006"></a><span 
 class="lineno">    6</span>&#160;<span class="comment">// &quot;License&quot;); you may not use this file except in compliance</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment">// with the License.  You may obtain a copy of the License at</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment">//   http://www.apache.org/licenses/LICENSE-2.0</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment">// Unless required by applicable law or agreed to in writing,</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment">// software distribu
 ted under the License is distributed on an</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment">// &quot;AS IS&quot; BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment">// KIND, either express or implied.  See the License for the</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment">// specific language governing permissions and limitations</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment">// under the License.</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;</div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="preprocessor">#ifndef ARROW_GPU_CUDA_MEMORY_H</span></div><div class="line"><a name="l00019"></a><span class=
 "lineno">   19</span>&#160;<span class="preprocessor">#define ARROW_GPU_CUDA_MEMORY_H</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="preprocessor">#include &lt;cstdint&gt;</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="preprocessor">#include &lt;memory&gt;</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="buffer_8h.html">arrow/buffer.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="io_2memory_8h.html">arrow/io/memory.h</a>&quot;</span></div><div class="line"><a name="l00026"></a><span class=
 "lineno">   26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="memory__pool_8h.html">arrow/memory_pool.h</a>&quot;</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="status_8h.html">arrow/status.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearrow.html">arrow</a> {</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="keyword">namespace </span>gpu {</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="keyword">class </span>CudaContext;</div><div class="line"><a name="l00033"></a><spa
 n class="lineno">   33</span>&#160;<span class="keyword">class </span>CudaIpcMemHandle;</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;</div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="classarrow_1_1gpu_1_1_cuda_buffer.html">   39</a></span>&#160;<span class="keyword">class </span>ARROW_EXPORT <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer.html">CudaBuffer</a> : <span class="keyword">public</span> <a class="code" href="classarrow_1_1_buffer.html">Buffer</a> {</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;  <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer.html">CudaBuffer</a>(uint8_t* data, int64_t size, <span class="keyword">const</span> std::shared_ptr&lt;CudaContext&gt;&amp; context,</div><div class="line"><a name="l00042"></a><span clas
 s="lineno">   42</span>&#160;             <span class="keywordtype">bool</span> own_data = <span class="keyword">false</span>, <span class="keywordtype">bool</span> is_ipc = <span class="keyword">false</span>);</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;  <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer.html">CudaBuffer</a>(<span class="keyword">const</span> std::shared_ptr&lt;CudaBuffer&gt;&amp; parent, <span class="keyword">const</span> int64_t offset,</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;             <span class="keyword">const</span> int64_t size);</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;  ~<a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer.html">CudaBuffer</a>();</div><div c
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 12200bdf95ab4">   72</a></span>&#160;  std::shared_ptr&lt;CudaContext&gt; <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer.html#afd8e418493a51ca41ce12200bdf95ab4">context_</a>;</div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="classarrow_1_1gpu_1_1_cuda_buffer.html#ac365b50273ed2ad5ba7d84c6271627d6">   73</a></span>&#160;  <span class="keywordtype">bool</span> <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer.html#ac365b50273ed2ad5ba7d84c6271627d6">own_data_</a>;</div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="classarrow_1_1gpu_1_1_cuda_buffer.html#af769e83a8ee8fb3581e4a77cb3d35b90">   74</a></span>&#160;  <span class="keywordtype">bool</span> <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer.html#af769e83a8ee8fb3581e4a77cb3d35b90">is_ipc_</a>;</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno
 ">   76</span>&#160;  <span class="keyword">virtual</span> <a class="code" href="classarrow_1_1_status.html">Status</a> Close();</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;};</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="classarrow_1_1gpu_1_1_cuda_host_buffer.html">   81</a></span>&#160;<span class="keyword">class </span>ARROW_EXPORT <a class="code" href="classarrow_1_1gpu_1_1_cuda_host_buffer.html">CudaHostBuffer</a> : <span class="keyword">public</span> <a class="code" href="classarrow_1_1_mutable_buffer.html">MutableBuffer</a> {</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;  <span class="keyword">using</span> <a class="code" href="classarrow_1_1_mutable_buffer.h
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 IpcMemHandle</a>();</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;  <span class="keyword">static</span> <a class="code" href="classarrow_1_1_status.html">Status</a> FromBuffer(<span class="keyword">const</span> <span class="keywordtype">void</span>* opaque_handle,</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;                           std::shared_ptr&lt;CudaIpcMemHandle&gt;* handle);</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;  <a class="code" href="classarrow_1_1_status.html">Status</a> Serialize(<a class="code" href="classarrow_1_1_memory_pool.html">MemoryPool</a>* pool, std::shared_ptr&lt;Buffer&gt;* out) <span class="keyword">const</span>;</div><div class="line"><a name="l00105"></a><span class="linen
 o">  105</span>&#160;</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160; <span class="keyword">private</span>:</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;  <span class="keyword">explicit</span> <a class="code" href="classarrow_1_1gpu_1_1_cuda_ipc_mem_handle.html">CudaIpcMemHandle</a>(<span class="keyword">const</span> <span class="keywordtype">void</span>* handle);</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;  <span class="keyword">struct </span>CudaIpcMemHandleImpl;</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;  std::unique_ptr&lt;CudaIpcMemHandleImpl&gt; impl_;</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;  <span class="keyword">co
 nst</span> <span class="keywordtype">void</span>* handle() <span class="keyword">const</span>;</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;  <span class="keyword">friend</span> <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer.html">CudaBuffer</a>;</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;  <span class="keyword">friend</span> <a class="code" href="classarrow_1_1gpu_1_1_cuda_context.html">CudaContext</a>;</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;};</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;</div><div class="line"><a name="l00124"></a><span class="lineno"><a class="line" href="classarrow_1_1gpu_1_1_cuda_buffer_reader.html">  124</a></span>&#160;<span class="keyword">class </span>ARROW_EXPORT <a class="code" href="classarrow_1_1gpu_1_1_
 cuda_buffer_reader.html">CudaBufferReader</a> : <span class="keyword">public</span> <a class="code" href="classarrow_1_1io_1_1_buffer_reader.html">io::BufferReader</a> {</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;  <span class="keyword">explicit</span> <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer_reader.html">CudaBufferReader</a>(<span class="keyword">const</span> std::shared_ptr&lt;CudaBuffer&gt;&amp; buffer);</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;  ~<a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer_reader.html">CudaBufferReader</a>();</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;  <a class="code" href="classarrow_1_1_status.html">Status</a> R
 ead(int64_t nbytes, int64_t* bytes_read, <span class="keywordtype">void</span>* buffer) <span class="keyword">override</span>;</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;  <a class="code" href="classarrow_1_1_status.html">Status</a> Read(int64_t nbytes, std::shared_ptr&lt;Buffer&gt;* out) <span class="keyword">override</span>;</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160; <span class="keyword">private</span>:</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;  std::shared_ptr&lt;CudaBuffer&gt; cuda_buffer_;</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;  std::shared_ptr&lt;CudaContext&gt; context_;</div><div class="line"><a name="l00144"></a><span class="lineno">  144</spa
 n>&#160;};</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;</div><div class="line"><a name="l00148"></a><span class="lineno"><a class="line" href="classarrow_1_1gpu_1_1_cuda_buffer_writer.html">  148</a></span>&#160;<span class="keyword">class </span>ARROW_EXPORT <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer_writer.html">CudaBufferWriter</a> : <span class="keyword">public</span> <a class="code" href="classarrow_1_1io_1_1_writeable_file.html">io::WriteableFile</a> {</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;  <span class="keyword">explicit</span> <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer_writer.html">CudaBufferWriter</a>(<span class="keyword">const</span> std::shared_ptr&lt;CudaBuffer&gt;&amp; buffer);</div><div class="line"><a name="l00151"></a><span class="lineno">
   151</span>&#160;  ~<a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer_writer.html">CudaBufferWriter</a>();</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;  <a class="code" href="classarrow_1_1_status.html">Status</a> Close() <span class="keyword">override</span>;</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;  <a class="code" href="classarrow_1_1_status.html">Status</a> Flush() <span class="keyword">override</span>;</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;  <a class="code" href="classarrow_1_1_status.html">Status</a> Seek(int64_t position) <span class="keyword">override</span>;</div><div class="line"><a name="l0016
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 rd">const override</span>;</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;  <a class="code" href="classarrow_1_1_status.html">Status</a> SetBufferSize(<span class="keyword">const</span> int64_t buffer_size);</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;  int64_t buffer_size() <span class="keyword">const</span>;</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;  int64_t num_bytes_buffered() <span class="keyword">const</span>;</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160; <span class="keyword">private</span>:</d
 iv><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;  <span class="keyword">class </span>CudaBufferWriterImpl;</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;  std::unique_ptr&lt;CudaBufferWriterImpl&gt; impl_;</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;};</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;ARROW_EXPORT</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;<a class="code" href="classarrow_1_1_status.html">Status</a> <a class="code" href="namespacearrow_1_1gpu.html#a5fd6dc6f1b80f067006045713570df90">AllocateCudaHostBuffer</a>(<span class="keyword">const</span> int64_t size, std::shared_ptr&lt;CudaHostBuffer&gt;* out);</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;</div><div class="line"
 ><a name="l00192"></a><span class="lineno">  192</span>&#160;}  <span class="comment">// namespace gpu</span></div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;}  <span class="comment">// namespace arrow</span></div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;<span class="preprocessor">#endif  // ARROW_GPU_CUDA_MEMORY_H</span></div><div class="ttc" id="classarrow_1_1_mutable_buffer_html_a3b01c712ad660aea1b10a0ad2b232ac7"><div class="ttname"><a href="classarrow_1_1_mutable_buffer.html#a3b01c712ad660aea1b10a0ad2b232ac7">arrow::MutableBuffer::MutableBuffer</a></div><div class="ttdeci">MutableBuffer()</div><div class="ttdef"><b>Definition:</b> buffer.h:175</div></div>
-<div class="ttc" id="classarrow_1_1gpu_1_1_cuda_buffer_html_afd8e418493a51ca41ce12200bdf95ab4"><div class="ttname"><a href="classarrow_1_1gpu_1_1_cuda_buffer.html#afd8e418493a51ca41ce12200bdf95ab4">arrow::gpu::CudaBuffer::context_</a></div><div class="ttdeci">std::shared_ptr&lt; CudaContext &gt; context_</div><div class="ttdef"><b>Definition:</b> cuda_memory.h:72</div></div>
-<div class="ttc" id="classarrow_1_1io_1_1_writeable_file_html"><div class="ttname"><a href="classarrow_1_1io_1_1_writeable_file.html">arrow::io::WriteableFile</a></div><div class="ttdef"><b>Definition:</b> interfaces.h:163</div></div>
-<div class="ttc" id="classarrow_1_1gpu_1_1_cuda_buffer_writer_html"><div class="ttname"><a href="classarrow_1_1gpu_1_1_cuda_buffer_writer.html">arrow::gpu::CudaBufferWriter</a></div><div class="ttdoc">File interface for writing to CUDA buffers, with optional buffering. </div><div class="ttdef"><b>Definition:</b> cuda_memory.h:148</div></div>
+<a href="cuda__memory_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">// Licensed to the Apache Software Foundation (ASF) under one</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// or more contributor license agreements.  See the NOTICE file</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">// distributed with this work for additional information</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">// regarding copyright ownership.  The ASF licenses this file</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment">// to you under the Apache License, Version 2.0 (the</span></div><div class="line"><a name="l00006"></a><span 
 class="lineno">    6</span>&#160;<span class="comment">// &quot;License&quot;); you may not use this file except in compliance</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment">// with the License.  You may obtain a copy of the License at</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment">//   http://www.apache.org/licenses/LICENSE-2.0</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment">// Unless required by applicable law or agreed to in writing,</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment">// software distribu
 ted under the License is distributed on an</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment">// &quot;AS IS&quot; BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment">// KIND, either express or implied.  See the License for the</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment">// specific language governing permissions and limitations</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment">// under the License.</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;</div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="preprocessor">#ifndef ARROW_GPU_CUDA_MEMORY_H</span></div><div class="line"><a name="l00019"></a><span class=
 "lineno">   19</span>&#160;<span class="preprocessor">#define ARROW_GPU_CUDA_MEMORY_H</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="preprocessor">#include &lt;cstdint&gt;</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="preprocessor">#include &lt;memory&gt;</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="buffer_8h.html">arrow/buffer.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="io_2memory_8h.html">arrow/io/memory.h</a>&quot;</span></div><div class="line"><a name="l00026"></a><span class=
 "lineno">   26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="memory__pool_8h.html">arrow/memory_pool.h</a>&quot;</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="status_8h.html">arrow/status.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearrow.html">arrow</a> {</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="keyword">namespace </span>gpu {</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;<span class="keyword">class </span>CudaContext;</div><div class="line"><a name="l00033"></a><spa
 n class="lineno">   33</span>&#160;<span class="keyword">class </span>CudaIpcMemHandle;</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;</div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="classarrow_1_1gpu_1_1_cuda_buffer.html">   39</a></span>&#160;<span class="keyword">class </span>ARROW_EXPORT <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer.html">CudaBuffer</a> : <span class="keyword">public</span> <a class="code" href="classarrow_1_1_buffer.html">Buffer</a> {</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;  <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer.html">CudaBuffer</a>(uint8_t* data, int64_t size, <span class="keyword">const</span> std::shared_ptr&lt;CudaContext&gt;&amp; context,</div><div class="line"><a name="l00042"></a><span clas
 s="lineno">   42</span>&#160;             <span class="keywordtype">bool</span> own_data = <span class="keyword">false</span>, <span class="keywordtype">bool</span> is_ipc = <span class="keyword">false</span>);</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;  <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer.html">CudaBuffer</a>(<span class="keyword">const</span> std::shared_ptr&lt;CudaBuffer&gt;&amp; parent, <span class="keyword">const</span> int64_t offset,</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;             <span class="keyword">const</span> int64_t size);</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;  ~<a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer.html">CudaBuffer</a>();</div><div c
 lass="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;  <span class="keyword">static</span> <a class="code" href="classarrow_1_1_status.html">Status</a> FromBuffer(std::shared_ptr&lt;Buffer&gt; buffer,</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;                           std::shared_ptr&lt;CudaBuffer&gt;* out);</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;  <a class="code" href="classarrow_1_1_status.html">Status</a> CopyToHost(<span class="keyword">const</span> int64_t position, <span class="keyword">const</span> int64_t nbytes, <span class="keywordtype">void</span>* out) <span class="keyword">const</span>;</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;</div><div class="line"><a name="l
 00068"></a><span class="lineno">   68</span>&#160;  <a class="code" href="classarrow_1_1_status.html">Status</a> CopyFromHost(<span class="keyword">const</span> int64_t position, <span class="keyword">const</span> <span class="keywordtype">void</span>* data, int64_t nbytes);</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;  <span class="keyword">virtual</span> <a class="code" href="classarrow_1_1_status.html">Status</a> ExportForIpc(std::shared_ptr&lt;CudaIpcMemHandle&gt;* handle);</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;</div><div class="line"><a name="l00078"></a><span class="lineno"><a class="line" href="classarrow_1_1gpu_1_1_cuda_buffer.html#ad7dc496bfff7509694e64b5c88710708">   78</a></span>&#160;  std::shared_ptr&lt;CudaContext&gt; <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer.html#ad7dc496bfff7509694e64b5c8
 8710708">context</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> context_; }</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160; <span class="keyword">protected</span>:</div><div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="classarrow_1_1gpu_1_1_cuda_buffer.html#afd8e418493a51ca41ce12200bdf95ab4">   81</a></span>&#160;  std::shared_ptr&lt;CudaContext&gt; <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer.html#afd8e418493a51ca41ce12200bdf95ab4">context_</a>;</div><div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="classarrow_1_1gpu_1_1_cuda_buffer.html#ac365b50273ed2ad5ba7d84c6271627d6">   82</a></span>&#160;  <span class="keywordtype">bool</span> <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer.html#ac365b50273ed2ad5ba7d84c6271627d6">own_data_</a>;</div><div cla
 ss="line"><a name="l00083"></a><span class="lineno"><a class="line" href="classarrow_1_1gpu_1_1_cuda_buffer.html#af769e83a8ee8fb3581e4a77cb3d35b90">   83</a></span>&#160;  <span class="keywordtype">bool</span> <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer.html#af769e83a8ee8fb3581e4a77cb3d35b90">is_ipc_</a>;</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;  <span class="keyword">virtual</span> <a class="code" href="classarrow_1_1_status.html">Status</a> Close();</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;};</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;</div><div class="line"><a name="l00090"></a><span class="lineno"><a class="line" href="classarrow_1_1gpu_1_1_cuda_host_buffer.html">   90</a></span>&#160;<span class="keyword">class </span>ARROW_EXPORT <a class="code" href="classarr
 ow_1_1gpu_1_1_cuda_host_buffer.html">CudaHostBuffer</a> : <span class="keyword">public</span> <a class="code" href="classarrow_1_1_mutable_buffer.html">MutableBuffer</a> {</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;  <span class="keyword">using</span> <a class="code" href="classarrow_1_1_mutable_buffer.html#a3b01c712ad660aea1b10a0ad2b232ac7">MutableBuffer::MutableBuffer</a>;</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;  ~<a class="code" href="classarrow_1_1gpu_1_1_cuda_host_buffer.html">CudaHostBuffer</a>();</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;};</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;</div><div class="line"><a name="l00098"></a><span class="lineno"><a class="line" href="classarrow_1_1gpu_1_1_cuda
 _ipc_mem_handle.html">   98</a></span>&#160;<span class="keyword">class </span>ARROW_EXPORT <a class="code" href="classarrow_1_1gpu_1_1_cuda_ipc_mem_handle.html">CudaIpcMemHandle</a> {</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;  ~<a class="code" href="classarrow_1_1gpu_1_1_cuda_ipc_mem_handle.html">CudaIpcMemHandle</a>();</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;  <span class="keyword">static</span> <a class="code" href="classarrow_1_1_status.html">Status</a> FromBuffer(<span class="keyword">const</span> <span class="keywordtype">void</span>* opaque_handle,</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;                           std::shared_ptr&lt;CudaIpcMemHandle
 &gt;* handle);</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;  <a class="code" href="classarrow_1_1_status.html">Status</a> Serialize(<a class="code" href="classarrow_1_1_memory_pool.html">MemoryPool</a>* pool, std::shared_ptr&lt;Buffer&gt;* out) <span class="keyword">const</span>;</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160; <span class="keyword">private</span>:</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;  <span class="keyword">explicit</span> <a class="code" href="classarrow_1_1gpu_1_1_cuda_ipc_mem_handle.html">CudaIpcMemHandle</a>(<span class="keyword">const</span> <span class="keywordtype">void</span>* handle);</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;</div><
 div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;  <span class="keyword">struct </span>CudaIpcMemHandleImpl;</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;  std::unique_ptr&lt;CudaIpcMemHandleImpl&gt; impl_;</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;  <span class="keyword">const</span> <span class="keywordtype">void</span>* handle() <span class="keyword">const</span>;</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;  <span class="keyword">friend</span> <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer.html">CudaBuffer</a>;</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;  <span class="keyword">friend</span> <a class="code" href="classarrow
 _1_1gpu_1_1_cuda_context.html">CudaContext</a>;</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;};</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;</div><div class="line"><a name="l00133"></a><span class="lineno"><a class="line" href="classarrow_1_1gpu_1_1_cuda_buffer_reader.html">  133</a></span>&#160;<span class="keyword">class </span>ARROW_EXPORT <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer_reader.html">CudaBufferReader</a> : <span class="keyword">public</span> <a class="code" href="classarrow_1_1io_1_1_buffer_reader.html">io::BufferReader</a> {</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;  <span class="keyword">explicit</span> <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer_reader.html">CudaBufferReader</a>(<span class="keyword">const
 </span> std::shared_ptr&lt;Buffer&gt;&amp; buffer);</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;  ~<a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer_reader.html">CudaBufferReader</a>();</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;  <a class="code" href="classarrow_1_1_status.html">Status</a> Read(int64_t nbytes, int64_t* bytes_read, <span class="keywordtype">void</span>* buffer) <span class="keyword">override</span>;</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;  <a class="code" href="classarrow_1_1_status.html">Status</a> Read(int64_t nbytes, std::shared_ptr&lt;Buffer&gt;* out) <span class="keyword">override</span>;</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160
 ;</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160; <span class="keyword">private</span>:</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;  std::shared_ptr&lt;CudaBuffer&gt; cuda_buffer_;</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;  std::shared_ptr&lt;CudaContext&gt; context_;</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;};</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;</div><div class="line"><a name="l00157"></a><span class="lineno"><a class="line" href="classarrow_1_1gpu_1_1_cuda_buffer_writer.html">  157</a></span>&#160;<span class="keyword">class </span>ARROW_EXPORT <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer_writer.html">CudaBufferWriter</a> : <span class="keyword">public</span> <a class="code" href="classarrow_1_1io_1_1_writeable_file.html">io::WriteableFile</a> {</div><div class="lin
 e"><a name="l00158"></a><span class="lineno">  158</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;  <span class="keyword">explicit</span> <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer_writer.html">CudaBufferWriter</a>(<span class="keyword">const</span> std::shared_ptr&lt;CudaBuffer&gt;&amp; buffer);</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;  ~<a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer_writer.html">CudaBufferWriter</a>();</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;  <a class="code" href="classarrow_1_1_status.html">Status</a> Close() <span class="keyword">override</span>;</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;</div><div class="line"><a name="l00166"></a><span class="lin
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 word">const</span>;</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;  int64_t num_bytes_buffered() <span class="keyword">const</span>;</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160; <span class="keyword">private</span>:</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;  <span class="keyword">class </span>CudaBufferWriterImpl;</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;  std::unique_ptr&lt;CudaBufferWriterImpl&gt; impl_;</div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;};</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;ARROW_
 EXPORT</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;<a class="code" href="classarrow_1_1_status.html">Status</a> <a class="code" href="namespacearrow_1_1gpu.html#a5fd6dc6f1b80f067006045713570df90">AllocateCudaHostBuffer</a>(<span class="keyword">const</span> int64_t size, std::shared_ptr&lt;CudaHostBuffer&gt;* out);</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;}  <span class="comment">// namespace gpu</span></div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;}  <span class="comment">// namespace arrow</span></div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;</div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;<span class="preprocessor">#endif  // ARROW_GPU_CUDA_MEMORY_H</span></div><div class="ttc" id="classarrow_1_1_mutable_buffer
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+<div class="ttc" id="classarrow_1_1gpu_1_1_cuda_buffer_html_afd8e418493a51ca41ce12200bdf95ab4"><div class="ttname"><a href="classarrow_1_1gpu_1_1_cuda_buffer.html#afd8e418493a51ca41ce12200bdf95ab4">arrow::gpu::CudaBuffer::context_</a></div><div class="ttdeci">std::shared_ptr&lt; CudaContext &gt; context_</div><div class="ttdef"><b>Definition:</b> cuda_memory.h:81</div></div>
+<div class="ttc" id="classarrow_1_1io_1_1_writeable_file_html"><div class="ttname"><a href="classarrow_1_1io_1_1_writeable_file.html">arrow::io::WriteableFile</a></div><div class="ttdef"><b>Definition:</b> interfaces.h:165</div></div>
+<div class="ttc" id="classarrow_1_1gpu_1_1_cuda_buffer_writer_html"><div class="ttname"><a href="classarrow_1_1gpu_1_1_cuda_buffer_writer.html">arrow::gpu::CudaBufferWriter</a></div><div class="ttdoc">File interface for writing to CUDA buffers, with optional buffering. </div><div class="ttdef"><b>Definition:</b> cuda_memory.h:157</div></div>
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+<div class="ttc" id="classarrow_1_1gpu_1_1_cuda_buffer_html_af769e83a8ee8fb3581e4a77cb3d35b90"><div class="ttname"><a href="classarrow_1_1gpu_1_1_cuda_buffer.html#af769e83a8ee8fb3581e4a77cb3d35b90">arrow::gpu::CudaBuffer::is_ipc_</a></div><div class="ttdeci">bool is_ipc_</div><div class="ttdef"><b>Definition:</b> cuda_memory.h:83</div></div>
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 <div class="ttc" id="classarrow_1_1io_1_1_buffer_reader_html"><div class="ttname"><a href="classarrow_1_1io_1_1_buffer_reader.html">arrow::io::BufferReader</a></div><div class="ttdoc">Random access zero-copy reads on an arrow::Buffer. </div><div class="ttdef"><b>Definition:</b> memory.h:107</div></div>
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+<div class="ttc" id="classarrow_1_1gpu_1_1_cuda_ipc_mem_handle_html"><div class="ttname"><a href="classarrow_1_1gpu_1_1_cuda_ipc_mem_handle.html">arrow::gpu::CudaIpcMemHandle</a></div><div class="ttdef"><b>Definition:</b> cuda_memory.h:98</div></div>
 <div class="ttc" id="io_2memory_8h_html"><div class="ttname"><a href="io_2memory_8h.html">memory.h</a></div></div>
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+<div class="ttc" id="classarrow_1_1gpu_1_1_cuda_buffer_reader_html"><div class="ttname"><a href="classarrow_1_1gpu_1_1_cuda_buffer_reader.html">arrow::gpu::CudaBufferReader</a></div><div class="ttdoc">File interface for zero-copy read from CUDA buffers. </div><div class="ttdef"><b>Definition:</b> cuda_memory.h:133</div></div>
+<div class="ttc" id="classarrow_1_1gpu_1_1_cuda_host_buffer_html"><div class="ttname"><a href="classarrow_1_1gpu_1_1_cuda_host_buffer.html">arrow::gpu::CudaHostBuffer</a></div><div class="ttdoc">Device-accessible CPU memory created using cudaHostAlloc. </div><div class="ttdef"><b>Definition:</b> cuda_memory.h:90</div></div>
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+<div class="ttc" id="classarrow_1_1gpu_1_1_cuda_buffer_html_ad7dc496bfff7509694e64b5c88710708"><div class="ttname"><a href="classarrow_1_1gpu_1_1_cuda_buffer.html#ad7dc496bfff7509694e64b5c88710708">arrow::gpu::CudaBuffer::context</a></div><div class="ttdeci">std::shared_ptr&lt; CudaContext &gt; context() const</div><div class="ttdef"><b>Definition:</b> cuda_memory.h:78</div></div>
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