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Posted to commits@arrow.apache.org by uw...@apache.org on 2017/11/04 10:37:28 UTC
[10/51] [partial] arrow-site git commit: API doc update
http://git-wip-us.apache.org/repos/asf/arrow-site/blob/35e0e750/docs/cpp/cuda__memory_8h_source.html
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<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> <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> <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> <span class="comment">// distributed with this work for additional information</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <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> <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> <span class="comment">// "License"); you may not use this file except in compliance</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <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> <span class="comment">//</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <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> <span class="comment">//</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <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> <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> <span class="comment">// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <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> <span class="comment">// specific language governing permissions and limitations</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment">// under the License.</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#ifndef ARROW_GPU_CUDA_MEMORY_H</span></div><div class="line"><a name="l00019"></a><span class=
"lineno"> 19</span> <span class="preprocessor">#define ARROW_GPU_CUDA_MEMORY_H</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#include <cstdint></span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#include <memory></span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> </div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="buffer_8h.html">arrow/buffer.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include "<a class="code" href="io_2memory_8h.html">arrow/io/memory.h</a>"</span></div><div class="line"><a name="l00026"></a><span class=
"lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="memory__pool_8h.html">arrow/memory_pool.h</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="status_8h.html">arrow/status.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <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> <span class="keyword">namespace </span>gpu {</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">class </span>CudaContext;</div><div class="line"><a name="l00033"></a><spa
n class="lineno"> 33</span> <span class="keyword">class </span>CudaIpcMemHandle;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </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> <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>  <span class="keyword">public</span>:</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <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<CudaContext>& context,</div><div class="line"><a name="l00042"></a><span clas
s="lineno"> 42</span>  <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> </div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer.html">CudaBuffer</a>(<span class="keyword">const</span> std::shared_ptr<CudaBuffer>& parent, <span class="keyword">const</span> int64_t offset,</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">const</span> int64_t size);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  ~<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> </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <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, uint8_t* out) <span class="keyword">const</span>;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <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> uint8_t* data, int64_t nbytes);</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">virtual</span> <a class="code" href="classarrow_1_1_status.
html">Status</a> ExportForIpc(std::unique_ptr<CudaIpcMemHandle>* handle);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="classarrow_1_1gpu_1_1_cuda_buffer.html#ad7dc496bfff7509694e64b5c88710708"> 69</a></span>  std::shared_ptr<CudaContext> <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer.html#ad7dc496bfff7509694e64b5c88710708">context</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> context_; }</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keyword">protected</span>:</div><div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="classarrow_1_1gpu_1_1_cuda_buffer.html#afd8e418493a51ca41ce12200bdf95ab4"> 72</a></span>  std::shared_ptr<Cu
daContext> <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>  <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>  <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> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <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> };</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </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> <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>  <span class="keyword">public</span>:</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keyword">using</span> <a class="code" href="classarrow_1_1_mutable_buffer.html#a3b01c712ad660aea1b10a0ad2b232ac7">MutableBuffer::Mutabl
eBuffer</a>;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  ~<a class="code" href="classarrow_1_1gpu_1_1_cuda_host_buffer.html">CudaHostBuffer</a>();</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> };</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00089"></a><span class="lineno"><a class="line" href="classarrow_1_1gpu_1_1_cuda_ipc_mem_handle.html"> 89</a></span> <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="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  ~<a class="code" href="classarrow_1_1gpu_1_1_cuda_ipc_mem_handle.html">CudaIpcMemHandle</a>();</div><div class="line"><a name="l00092">
</a><span class="lineno"> 92</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <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>  std::unique_ptr<CudaIpcMemHandle>* handle);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <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<Buffer>* out) <span class="keyword">const</span>;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div><div class="line"><a name="l00106
"></a><span class="lineno"> 106</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <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> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keyword">struct </span>CudaIpcMemHandleImpl;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  std::unique_ptr<CudaIpcMemHandleImpl> impl_;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keyword">const</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> </div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <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>  <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> };</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </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> <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>  <span class="keyword">public</span>:</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <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<CudaBuffer>& buffer);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  ~<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> </div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <a class="code" href="classarrow_1_1_status.html">Status</a> Read(int64_t nbytes, int64_t* bytes_read, uint8_t* buffer) <s
pan class="keyword">override</span>;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <a class="code" href="classarrow_1_1_status.html">Status</a> Read(int64_t nbytes, std::shared_ptr<Buffer>* out) <span class="keyword">override</span>;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  std::shared_ptr<CudaBuffer> cuda_buffer_;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  std::shared_ptr<CudaContext> context_;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> };</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> <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_fixed_size_buffer_writer.html">io::FixedSizeBufferWriter</a> {</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <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<CudaBuffer>& buffer);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  ~<a class="code" href="classarrow_1_1gpu_1_1_cuda_bu
ffer_writer.html">CudaBufferWriter</a>();</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <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> </div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <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> </div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="comment">// Seek requires flushing if any bytes are buffered</span></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <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="l00161"></a><span class="lineno"> 161</span>  <a class="code" href="classarrow_1_1_status.html">Status</a> Write(<span class="keyword">const</span> uint8_t* data, int64_t nbytes) <span class="keyword">override</span>;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <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="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00171"></a><span class="lineno"><a class="line" href="classarrow_1_1gpu_1_1_cuda_buffer_writer.html#ac7aac807d1842372bea7cae24878f09c"> 171</a></span>  int64_t <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer_writer.html#ac7aac807d1842372bea7cae24878f
09c">buffer_size</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> buffer_size_; }</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> </div><div class="line"><a name="l00174"></a><span class="lineno"><a class="line" href="classarrow_1_1gpu_1_1_cuda_buffer_writer.html#adf1c821f458ee2da4eafb9f06affcb49"> 174</a></span>  int64_t <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer_writer.html#adf1c821f458ee2da4eafb9f06affcb49">num_bytes_buffered</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> buffer_position_; }</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  std::shared_ptr<CudaContext> context_;</div><div class="line"><a name="l001
78"></a><span class="lineno"> 178</span> </div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="comment">// Pinned host buffer for buffering writes on CPU before calling cudaMalloc</span></div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  int64_t buffer_size_;</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  int64_t buffer_position_;</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  std::shared_ptr<CudaHostBuffer> host_buffer_;</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  uint8_t* host_buffer_data_;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> };</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> ARROW_EXPORT</div><div class="line"><a
name="l00191"></a><span class="lineno"> 191</span> <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<CudaHostBuffer>* out);</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> </div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> } <span class="comment">// namespace gpu</span></div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> } <span class="comment">// namespace arrow</span></div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> <span class="preprocessor">#endif // ARROW_GPU_CUDA_MEMORY_H</span></div><div class="ttc" id="classarrow_1_1_mutable_buffer_html_a3b01c712ad660aea1b10a0ad2
b232ac7"><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: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> <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> <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> <span class="comment">// distributed with this work for additional information</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <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> <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> <span class="comment">// "License"); you may not use this file except in compliance</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <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> <span class="comment">//</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <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> <span class="comment">//</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <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> <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> <span class="comment">// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <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> <span class="comment">// specific language governing permissions and limitations</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment">// under the License.</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#ifndef ARROW_GPU_CUDA_MEMORY_H</span></div><div class="line"><a name="l00019"></a><span class=
"lineno"> 19</span> <span class="preprocessor">#define ARROW_GPU_CUDA_MEMORY_H</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#include <cstdint></span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#include <memory></span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> </div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="buffer_8h.html">arrow/buffer.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include "<a class="code" href="io_2memory_8h.html">arrow/io/memory.h</a>"</span></div><div class="line"><a name="l00026"></a><span class=
"lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="memory__pool_8h.html">arrow/memory_pool.h</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="status_8h.html">arrow/status.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <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> <span class="keyword">namespace </span>gpu {</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">class </span>CudaContext;</div><div class="line"><a name="l00033"></a><spa
n class="lineno"> 33</span> <span class="keyword">class </span>CudaIpcMemHandle;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </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> <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>  <span class="keyword">public</span>:</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <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<CudaContext>& context,</div><div class="line"><a name="l00042"></a><span clas
s="lineno"> 42</span>  <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> </div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer.html">CudaBuffer</a>(<span class="keyword">const</span> std::shared_ptr<CudaBuffer>& parent, <span class="keyword">const</span> int64_t offset,</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">const</span> int64_t size);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  ~<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> </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <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, uint8_t* out) <span class="keyword">const</span>;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <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> uint8_t* data, int64_t nbytes);</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">virtual</span> <a class="code" href="classarrow_1_1_status.
html">Status</a> ExportForIpc(std::unique_ptr<CudaIpcMemHandle>* handle);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="classarrow_1_1gpu_1_1_cuda_buffer.html#ad7dc496bfff7509694e64b5c88710708"> 69</a></span>  std::shared_ptr<CudaContext> <a class="code" href="classarrow_1_1gpu_1_1_cuda_buffer.html#ad7dc496bfff7509694e64b5c88710708">context</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> context_; }</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keyword">protected</span>:</div><div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="classarrow_1_1gpu_1_1_cuda_buffer.html#afd8e418493a51ca41ce12200bdf95ab4"> 72</a></span>  std::shared_ptr<Cu
daContext> <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>  <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>  <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> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <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> };</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </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> <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>  <span class="keyword">public</span>:</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keyword">using</span> <a class="code" href="classarrow_1_1_mutable_buffer.html#a3b01c712ad660aea1b10a0ad2b232ac7">MutableBuffer::Mutabl
eBuffer</a>;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  ~<a class="code" href="classarrow_1_1gpu_1_1_cuda_host_buffer.html">CudaHostBuffer</a>();</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> };</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00089"></a><span class="lineno"><a class="line" href="classarrow_1_1gpu_1_1_cuda_ipc_mem_handle.html"> 89</a></span> <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="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  ~<a class="code" href="classarrow_1_1gpu_1_1_cuda_ipc_mem_handle.html">CudaIpcMemHandle</a>();</div><div class="line"><a name="l00092">
</a><span class="lineno"> 92</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <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>  std::unique_ptr<CudaIpcMemHandle>* handle);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <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<Buffer>* out) <span class="keyword">const</span>;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div><div class="line"><a name="l00106
"></a><span class="lineno"> 106</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <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> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keyword">struct </span>CudaIpcMemHandleImpl;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  std::unique_ptr<CudaIpcMemHandleImpl> impl_;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keyword">const</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> </div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <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>  <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> };</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </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> <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>  <span class="keyword">public</span>:</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <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<CudaBuffer>& buffer);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  ~<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> </div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <a class="code" href="classarrow_1_1_status.html">Status</a> Read(int64_t nbytes, int64_t* bytes_read, uint8_t* buffer) <s
pan class="keyword">override</span>;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <a class="code" href="classarrow_1_1_status.html">Status</a> Read(int64_t nbytes, std::shared_ptr<Buffer>* out) <span class="keyword">override</span>;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  std::shared_ptr<CudaBuffer> cuda_buffer_;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  std::shared_ptr<CudaContext> context_;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> };</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> <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>  <span class="keyword">public</span>:</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <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<CudaBuffer>& buffer);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  ~<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> </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <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> </div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <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> </div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <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="l00160"></a><span class="lineno"> 160</span> </div><div class="line"><a name="l00161"></a
><span class="lineno"> 161</span>  <a class="code" href="classarrow_1_1_status.html">Status</a> Write(<span class="keyword">const</span> uint8_t* data, int64_t nbytes) <span class="keyword">override</span>;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <a class="code" href="classarrow_1_1_status.html">Status</a> WriteAt(int64_t position, <span class="keyword">const</span> uint8_t* data, int64_t nbytes) <span class="keyword">override</span>;</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> </div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <a class="code" href="classarrow_1_1_status.html">Status</a> Tell(int64_t* position) <span class="keyword">const override</span>;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div><div class="line"><a name="l00172"
></a><span class="lineno"> 172</span>  <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> </div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  int64_t buffer_size() <span class="keyword">const</span>;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> </div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  int64_t num_bytes_buffered() <span class="keyword">const</span>;</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keyword">class </span>CudaBufferWriterImpl;</div><div
class="line"><a name="l00182"></a><span class="lineno"> 182</span>  std::unique_ptr<CudaBufferWriterImpl> impl_;</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> };</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> ARROW_EXPORT</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> <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<CudaHostBuffer>* out);</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> </div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> } <span class="comment">// namespace gpu</span></div><div class="line"><a name="l00193">
</a><span class="lineno"> 193</span> } <span class="comment">// namespace arrow</span></div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> </div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> <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:148</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< CudaContext > context_</div><div class="ttdef"><b>Definition:</b> cuda_memory.h:72</div></div>
-<div class="ttc" id="classarrow_1_1gpu_1_1_cuda_buffer_writer_html_ac7aac807d1842372bea7cae24878f09c"><div class="ttname"><a href="classarrow_1_1gpu_1_1_cuda_buffer_writer.html#ac7aac807d1842372bea7cae24878f09c">arrow::gpu::CudaBufferWriter::buffer_size</a></div><div class="ttdeci">int64_t buffer_size() const</div><div class="ttdoc">Returns size of host (CPU) buffer, 0 for unbuffered. </div><div class="ttdef"><b>Definition:</b> cuda_memory.h:171</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>
<div class="ttc" id="classarrow_1_1_mutable_buffer_html"><div class="ttname"><a href="classarrow_1_1_mutable_buffer.html">arrow::MutableBuffer</a></div><div class="ttdoc">A Buffer whose contents can be mutated. May or may not own its data. </div><div class="ttdef"><b>Definition:</b> buffer.h:137</div></div>
<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:74</div></div>
<div class="ttc" id="classarrow_1_1gpu_1_1_cuda_context_html"><div class="ttname"><a href="classarrow_1_1gpu_1_1_cuda_context.html">arrow::gpu::CudaContext</a></div><div class="ttdoc">Friendlier interface to the CUDA driver API. </div><div class="ttdef"><b>Definition:</b> cuda_context.h:67</div></div>
-<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:115</div></div>
+<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>
<div class="ttc" id="classarrow_1_1_status_html"><div class="ttname"><a href="classarrow_1_1_status.html">arrow::Status</a></div><div class="ttdef"><b>Definition:</b> status.h:106</div></div>
<div class="ttc" id="classarrow_1_1gpu_1_1_cuda_buffer_html_ac365b50273ed2ad5ba7d84c6271627d6"><div class="ttname"><a href="classarrow_1_1gpu_1_1_cuda_buffer.html#ac365b50273ed2ad5ba7d84c6271627d6">arrow::gpu::CudaBuffer::own_data_</a></div><div class="ttdeci">bool own_data_</div><div class="ttdef"><b>Definition:</b> cuda_memory.h:73</div></div>
<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:89</div></div>
@@ -83,15 +83,13 @@ $(function() {
<div class="ttc" id="memory__pool_8h_html"><div class="ttname"><a href="memory__pool_8h.html">memory_pool.h</a></div></div>
<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:124</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:81</div></div>
-<div class="ttc" id="namespacearrow_html"><div class="ttname"><a href="namespacearrow.html">arrow</a></div><div class="ttdoc">Top-level namespace for Apache Arrow C++ API. </div><div class="ttdef"><b>Definition:</b> allocator.h:28</div></div>
+<div class="ttc" id="namespacearrow_html"><div class="ttname"><a href="namespacearrow.html">arrow</a></div><div class="ttdoc">Top-level namespace for Apache Arrow C++ API. </div><div class="ttdef"><b>Definition:</b> allocator.h:29</div></div>
<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< CudaContext > context() const</div><div class="ttdef"><b>Definition:</b> cuda_memory.h:69</div></div>
<div class="ttc" id="status_8h_html"><div class="ttname"><a href="status_8h.html">status.h</a></div></div>
<div class="ttc" id="buffer_8h_html"><div class="ttname"><a href="buffer_8h.html">buffer.h</a></div></div>
-<div class="ttc" id="classarrow_1_1_memory_pool_html"><div class="ttname"><a href="classarrow_1_1_memory_pool.html">arrow::MemoryPool</a></div><div class="ttdoc">Base class for memory allocation. </div><div class="ttdef"><b>Definition:</b> memory_pool.h:35</div></div>
-<div class="ttc" id="classarrow_1_1io_1_1_fixed_size_buffer_writer_html"><div class="ttname"><a href="classarrow_1_1io_1_1_fixed_size_buffer_writer.html">arrow::io::FixedSizeBufferWriter</a></div><div class="ttdoc">Enables random writes into a fixed-size mutable buffer. </div><div class="ttdef"><b>Definition:</b> memory.h:85</div></div>
+<div class="ttc" id="classarrow_1_1_memory_pool_html"><div class="ttname"><a href="classarrow_1_1_memory_pool.html">arrow::MemoryPool</a></div><div class="ttdoc">Base class for memory allocation. </div><div class="ttdef"><b>Definition:</b> memory_pool.h:34</div></div>
<div class="ttc" id="namespacearrow_1_1gpu_html_a5fd6dc6f1b80f067006045713570df90"><div class="ttname"><a href="namespacearrow_1_1gpu.html#a5fd6dc6f1b80f067006045713570df90">arrow::gpu::AllocateCudaHostBuffer</a></div><div class="ttdeci">Status AllocateCudaHostBuffer(const int64_t size, std::shared_ptr< CudaHostBuffer > *out)</div><div class="ttdoc">Allocate CUDA-accessible memory on CPU host. </div></div>
<div class="ttc" id="classarrow_1_1_buffer_html"><div class="ttname"><a href="classarrow_1_1_buffer.html">arrow::Buffer</a></div><div class="ttdoc">Immutable API for a chunk of bytes which may or may not be owned by the class instance. </div><div class="ttdef"><b>Definition:</b> buffer.h:48</div></div>
-<div class="ttc" id="classarrow_1_1gpu_1_1_cuda_buffer_writer_html_adf1c821f458ee2da4eafb9f06affcb49"><div class="ttname"><a href="classarrow_1_1gpu_1_1_cuda_buffer_writer.html#adf1c821f458ee2da4eafb9f06affcb49">arrow::gpu::CudaBufferWriter::num_bytes_buffered</a></div><div class="ttdeci">int64_t num_bytes_buffered() const</div><div class="ttdoc">Returns number of bytes buffered on host. </div><div class="ttdef"><b>Definition:</b> cuda_memory.h:174</div></div>
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http://git-wip-us.apache.org/repos/asf/arrow-site/blob/35e0e750/docs/cpp/datetime_8h.html
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diff --git a/docs/cpp/datetime_8h.html b/docs/cpp/datetime_8h.html
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--- a/docs/cpp/datetime_8h.html
+++ b/docs/cpp/datetime_8h.html
@@ -69,8 +69,12 @@ $(function() {
<div class="title">datetime.h File Reference</div> </div>
</div><!--header-->
<div class="contents">
-<div class="textblock"><code>#include <<a class="el" href="datetime_8h_source.html">datetime.h</a>></code><br />
+<div class="textblock"><code>#include <algorithm></code><br />
+<code>#include <sstream></code><br />
+<code>#include <<a class="el" href="datetime_8h_source.html">datetime.h</a>></code><br />
<code>#include "<a class="el" href="platform_8h_source.html">arrow/python/platform.h</a>"</code><br />
+<code>#include "<a class="el" href="status_8h_source.html">arrow/status.h</a>"</code><br />
+<code>#include "<a class="el" href="logging_8h_source.html">arrow/util/logging.h</a>"</code><br />
</div>
<p><a href="datetime_8h_source.html">Go to the source code of this file.</a></p>
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