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<li class="navelem"><a class="el" href="dir_20697b8f204bdfcab31e6b1a416f3ab8.html">caffe2</a></li><li class="navelem"><a class="el" href="dir_05c92498e25fa977790f551ff793f1b1.html">mkl</a></li><li class="navelem"><a class="el" href="dir_9a8f178644e12033403db01c04c605e4.html">utils</a></li> </ul>
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<div class="title">mkl_memory.cc</div> </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="preprocessor">#include "caffe2/mkl/mkl_utils.h"</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> </div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="preprocessor">#include "caffe2/core/init.h"</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="preprocessor">#include "caffe2/core/tensor.h"</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#ifdef CAFFE2_HAS_MKL_DNN</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> CAFFE2_DEFINE_bool(</div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>  caffe2_mkl_implicit_layout_change, <span class="keyword">false</span>,</div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>  <span class="stringliteral">"Controls the behavior when we call View() on an MKLMemory: if it is set "</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>  <span class="stringliteral">"true, then the View() function will actually change the underlying "</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>  <span class="stringliteral">"storage. If it is set false, an implicit copy is triggered but the "</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  <span class="stringliteral">"original storage is not affected."</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  );</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="keyword">namespace </span><a class="code" href="namespacecaffe2.html">caffe2</a> {</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> CAFFE_KNOWN_TYPE(mkl::MKLMemory<float>);</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> CAFFE_KNOWN_TYPE(mkl::MKLMemory<double>);</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="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="keyword">static</span> vector<TIndex> GetMKLTensorInfo(</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keyword">const</span> <span class="keywordtype">void</span>* c,</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keywordtype">bool</span>* shares_data,</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keywordtype">size_t</span>* capacity,</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  DeviceOption* device) {</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keyword">const</span> mkl::MKLMemory<T>* tc = <span class="keyword">static_cast<</span><span class="keyword">const </span>mkl::MKLMemory<T>*<span class="keyword">></span>(c);</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="comment">// it's too hard to get sharing info from mkl::MKLMemory</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  *shares_data = <span class="keyword">false</span>;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  *capacity = tc->size() * <span class="keyword">sizeof</span>(T);</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  device->set_device_type(MKLDNN);</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  device->set_cuda_gpu_id(0);</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keywordflow">return</span> tc->dims();</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> }</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">static</span> TypeMeta GetMKLTensorType(<span class="keyword">const</span> <span class="keywordtype">void</span>*) {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">return</span> TypeMeta::Make<T>();</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> }</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">static</span> <span class="keywordtype">void</span> RegisterForType() {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  RegisterTypeCallFunction(</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <a class="code" href="classcaffe2_1_1_type_meta.html#a832b40f4bf4158dd3f1cc0b7d51858db">TypeMeta::Id</a><mkl::MKLMemory<T>>(), GetMKLTensorType<T>);</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  RegisterTensorInfoFunction(</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <a class="code" href="classcaffe2_1_1_type_meta.html#a832b40f4bf4158dd3f1cc0b7d51858db">TypeMeta::Id</a><mkl::MKLMemory<T>>(), GetMKLTensorInfo<T>);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> }</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="keyword">static</span> <span class="keywordtype">bool</span> Caffe2InitializeMKL(<span class="keywordtype">int</span>*, <span class="keywordtype">char</span>***) {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  RegisterForType<float>();</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  RegisterForType<double>();</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> }</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> REGISTER_CAFFE2_INIT_FUNCTION(</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  InitMKLDNNContext,</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  &Caffe2InitializeMKL,</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="stringliteral">"Register wrappers for MKLContext"</span>);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> } <span class="comment">// namespace caffe2</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="preprocessor">#endif // CAFFE2_HAS_MKL_DNN</span></div><div class="ttc" id="classcaffe2_1_1_type_meta_html_a832b40f4bf4158dd3f1cc0b7d51858db"><div class="ttname"><a href="classcaffe2_1_1_type_meta.html#a832b40f4bf4158dd3f1cc0b7d51858db">caffe2::TypeMeta::Id</a></div><div class="ttdeci">static CAFFE2_API CaffeTypeId Id()</div><div class="ttdoc">Returns the unique id for the given type T. </div></div>
<div class="ttc" id="namespacecaffe2_html"><div class="ttname"><a href="namespacecaffe2.html">caffe2</a></div><div class="ttdoc">A global dictionary that holds information about what Caffe2 modules have been loaded in the current ...</div><div class="ttdef"><b>Definition:</b> <a href="convert__encoded__to__raw__leveldb_8cc_source.html#l00047">convert_encoded_to_raw_leveldb.cc:47</a></div></div>
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