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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> </div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#ifndef SELECT_SMOOTH_L1_LOSS_OP_H_</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#define SELECT_SMOOTH_L1_LOSS_OP_H_</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#include "caffe2/core/context.h"</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#include "caffe2/core/logging.h"</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#include "caffe2/core/operator.h"</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">#include "caffe2/utils/math.h"</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> </div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="keyword">namespace </span><a class="code" href="namespacecaffe2.html">caffe2</a> {</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keyword">class</span> Context></div><div class="line"><a name="l00028"></a><span class="lineno"><a class="line" href="classcaffe2_1_1_select_smooth_l1_loss_op.html"> 28</a></span> <span class="keyword">class </span><a class="code" href="classcaffe2_1_1_select_smooth_l1_loss_op.html">SelectSmoothL1LossOp</a> final : <span class="keyword">public</span> <a class="code" href="classcaffe2_1_1_operator.html">Operator</a><Context> {</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <a class="code" href="classcaffe2_1_1_select_smooth_l1_loss_op.html">SelectSmoothL1LossOp</a>(<span class="keyword">const</span> OperatorDef& operator_def, <a class="code" href="classcaffe2_1_1_workspace.html">Workspace</a>* ws)</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  : <a class="code" href="classcaffe2_1_1_operator.html">Operator<Context></a>(operator_def, ws),</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  beta_(OperatorBase::GetSingleArgument<float>(<span class="stringliteral">"beta"</span>, 1.)),</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  scale_(OperatorBase::GetSingleArgument<float>(<span class="stringliteral">"scale"</span>, 1.)) {</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  CAFFE_ENFORCE(beta_ > 0);</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  CAFFE_ENFORCE(scale_ >= 0);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  }</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  USE_OPERATOR_CONTEXT_FUNCTIONS;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keywordtype">bool</span> RunOnDevice()<span class="keyword"> override </span>{</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="comment">// No CPU implementation for now</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  CAFFE_NOT_IMPLEMENTED;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</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>  <span class="keyword">protected</span>:</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordtype">float</span> beta_; <span class="comment">// Transition point from L1 to L2 loss</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordtype">float</span> scale_; <span class="comment">// Scale the loss by scale_</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordtype">int</span> dim_; <span class="comment">// dimension for 1 anchor prediction</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <a class="code" href="classcaffe2_1_1_tensor.html">Tensor<Context></a> buff_; <span class="comment">// Buffer for element-wise differences</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> };</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keyword">class</span> Context></div><div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="classcaffe2_1_1_select_smooth_l1_loss_gradient_op.html"> 52</a></span> <span class="keyword">class </span><a class="code" href="classcaffe2_1_1_select_smooth_l1_loss_gradient_op.html">SelectSmoothL1LossGradientOp</a> final : <span class="keyword">public</span> <a class="code" href="classcaffe2_1_1_operator.html">Operator</a><Context> {</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="classcaffe2_1_1_select_smooth_l1_loss_gradient_op.html">SelectSmoothL1LossGradientOp</a>(<span class="keyword">const</span> OperatorDef& def, <a class="code" href="classcaffe2_1_1_workspace.html">Workspace</a>* ws)</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  : <a class="code" href="classcaffe2_1_1_operator.html">Operator<Context></a>(def, ws),</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  beta_(OperatorBase::GetSingleArgument<float>(<span class="stringliteral">"beta"</span>, 1.)),</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  scale_(OperatorBase::GetSingleArgument<float>(<span class="stringliteral">"scale"</span>, 1.)) {</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  CAFFE_ENFORCE(beta_ > 0);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  CAFFE_ENFORCE(scale_ >= 0);</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  }</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  USE_OPERATOR_CONTEXT_FUNCTIONS;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordtype">bool</span> RunOnDevice()<span class="keyword"> override </span>{</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="comment">// No CPU implementation for now</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  CAFFE_NOT_IMPLEMENTED;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  }</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keyword">protected</span>:</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordtype">float</span> beta_; <span class="comment">// Transition point from L1 to L2 loss</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordtype">float</span> scale_; <span class="comment">// Scale the loss by scale_</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordtype">int</span> dim_; <span class="comment">// dimension for 1 anchor prediction</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="classcaffe2_1_1_tensor.html">Tensor<Context></a> buff_; <span class="comment">// Buffer for element-wise differences</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> };</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> } <span class="comment">// namespace caffe2</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="preprocessor">#endif // SELECT_SMOOTH_L1_LOSS_OP_H_</span></div><div class="ttc" id="classcaffe2_1_1_tensor_html"><div class="ttname"><a href="classcaffe2_1_1_tensor.html">caffe2::Tensor</a></div><div class="ttdoc">Tensor is the basic class in Caffe2 that stores a contiguous memory with its shape information...</div><div class="ttdef"><b>Definition:</b> <a href="tensor_8h_source.html#l00093">tensor.h:93</a></div></div>
<div class="ttc" id="classcaffe2_1_1_workspace_html"><div class="ttname"><a href="classcaffe2_1_1_workspace.html">caffe2::Workspace</a></div><div class="ttdoc">Workspace is a class that holds all the related objects created during runtime: (1) all blobs...</div><div class="ttdef"><b>Definition:</b> <a href="workspace_8h_source.html#l00047">workspace.h:47</a></div></div>
<div class="ttc" id="classcaffe2_1_1_select_smooth_l1_loss_gradient_op_html"><div class="ttname"><a href="classcaffe2_1_1_select_smooth_l1_loss_gradient_op.html">caffe2::SelectSmoothL1LossGradientOp</a></div><div class="ttdef"><b>Definition:</b> <a href="select__smooth__l1__loss__op_8h_source.html#l00052">select_smooth_l1_loss_op.h:52</a></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>
<div class="ttc" id="classcaffe2_1_1_operator_html"><div class="ttname"><a href="classcaffe2_1_1_operator.html">caffe2::Operator</a></div><div class="ttdef"><b>Definition:</b> <a href="core_2operator_8h_source.html#l00325">operator.h:325</a></div></div>
<div class="ttc" id="classcaffe2_1_1_select_smooth_l1_loss_op_html"><div class="ttname"><a href="classcaffe2_1_1_select_smooth_l1_loss_op.html">caffe2::SelectSmoothL1LossOp</a></div><div class="ttdef"><b>Definition:</b> <a href="select__smooth__l1__loss__op_8h_source.html#l00028">select_smooth_l1_loss_op.h:28</a></div></div>
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