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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_78eec69ac3a4b32ad49d9e5fc7146850.html">core</a></li> </ul>
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<div class="title">cudnn_wrappers.h</div> </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">// Copyright 2004-present Facebook. All Rights Reserved.</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">#ifndef CAFFE2_CORE_CUDNN_WRAPPERS_H_</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="preprocessor">#define CAFFE2_CORE_CUDNN_WRAPPERS_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">#include "caffe2/core/common_cudnn.h"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "caffe2/core/context_gpu.h"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> </div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="keyword">namespace </span><a class="code" href="namespacecaffe2.html">caffe2</a> {</div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="keyword">class </span>CuDNNWrapper;</div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="structcaffe2_1_1_cu_d_n_n_workspace.html"> 21</a></span> <span class="keyword">struct </span><a class="code" href="structcaffe2_1_1_cu_d_n_n_workspace.html">CuDNNWorkspace</a> {</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  ~<a class="code" href="structcaffe2_1_1_cu_d_n_n_workspace.html">CuDNNWorkspace</a>() noexcept {}</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="keywordtype">void</span>* <span class="keyword">get</span>(<span class="keywordtype">size_t</span> nbytes) {</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keywordflow">if</span> (nbytes_ < nbytes) {</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  reset();</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keyword">auto</span> data_and_deleter = CUDAContext::New(nbytes);</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  data_ = {data_and_deleter.first, data_and_deleter.second};</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  nbytes_ = nbytes;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  }</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  CAFFE_ENFORCE_GE(nbytes_, nbytes);</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordflow">return</span> data_.get();</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  }</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>  <span class="keywordtype">void</span> reset() {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  data_ = <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  nbytes_ = 0;</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> </div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  std::unique_ptr<void, MemoryDeleter> data_{<span class="keyword">nullptr</span>, NoDelete};</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordtype">size_t</span> nbytes_{0};</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> </div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment">// CuDNNState is the owner of the CuDNNWorkspace, and serializes all</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment">// executions of operations that use the state onto it's own stream</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="comment">// (so multiple Net workers can reuse the same workspace from</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment">// different threads and CUDA streams).</span></div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="classcaffe2_1_1_cu_d_n_n_state.html"> 49</a></span> <span class="keyword">class </span><a class="code" href="classcaffe2_1_1_cu_d_n_n_state.html">CuDNNState</a> {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keyword">explicit</span> <a class="code" href="classcaffe2_1_1_cu_d_n_n_state.html">CuDNNState</a>(<span class="keywordtype">size_t</span> gpu_id) : gpu_id_(gpu_id) {</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="classcaffe2_1_1_device_guard.html">DeviceGuard</a> g(gpu_id_);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  CUDNN_ENFORCE(cudnnCreate(&cudnn_handle_));</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  CUDA_ENFORCE(cudaEventCreate(&before_));</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  CUDA_ENFORCE(cudaEventCreate(&after_));</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  CUDA_ENFORCE(cudaStreamCreate(&stream_));</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  CUDNN_ENFORCE(cudnnSetStream(cudnn_handle_, stream_));</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</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>  ~<a class="code" href="classcaffe2_1_1_cu_d_n_n_state.html">CuDNNState</a>() noexcept {</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="classcaffe2_1_1_device_guard.html">DeviceGuard</a> g(gpu_id_);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  CUDNN_CHECK(cudnnDestroy(cudnn_handle_));</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  CUDA_CHECK(cudaStreamDestroy(stream_));</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  CUDA_CHECK(cudaEventDestroy(after_));</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  CUDA_CHECK(cudaEventDestroy(before_));</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>  cudnnHandle_t& cudnn_handle() {</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">return</span> cudnn_handle_;</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> </div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="structcaffe2_1_1_cu_d_n_n_workspace.html">CuDNNWorkspace</a>& workspace() {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">return</span> workspace_;</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> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> F></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordtype">void</span> execute(cudaStream_t stream, F&& f) {</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  CUDA_ENFORCE(cudaEventRecord(before_, stream));</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  CUDA_ENFORCE(cudaStreamWaitEvent(stream_, before_, 0));</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  f(<span class="keyword">this</span>);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  CUDA_ENFORCE(cudaEventRecord(after_, stream_));</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  CUDA_ENFORCE(cudaStreamWaitEvent(stream, after_, 0));</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  }</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  cudnnHandle_t cudnn_handle_{<span class="keyword">nullptr</span>};</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  cudaEvent_t before_{<span class="keyword">nullptr</span>};</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  cudaEvent_t after_{<span class="keyword">nullptr</span>};</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  cudaStream_t stream_{<span class="keyword">nullptr</span>};</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="structcaffe2_1_1_cu_d_n_n_workspace.html">CuDNNWorkspace</a> workspace_;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordtype">size_t</span> gpu_id_{0};</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  DISABLE_COPY_AND_ASSIGN(<a class="code" href="classcaffe2_1_1_cu_d_n_n_state.html">CuDNNState</a>);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> };</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00104"></a><span class="lineno"><a class="line" href="classcaffe2_1_1_cu_d_n_n_wrapper.html"> 104</a></span> <span class="keyword">class </span><a class="code" href="classcaffe2_1_1_cu_d_n_n_wrapper.html">CuDNNWrapper</a> {</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00110"></a><span class="lineno"><a class="line" href="classcaffe2_1_1_cu_d_n_n_wrapper.html#a0efa9399b67e409f822eb979d61e0824"> 110</a></span>  <span class="keyword">explicit</span> <a class="code" href="classcaffe2_1_1_cu_d_n_n_wrapper.html#a0efa9399b67e409f822eb979d61e0824">CuDNNWrapper</a>(<a class="code" href="classcaffe2_1_1_c_u_d_a_context.html">CUDAContext</a>* context) : context_(context) {}</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div><div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="classcaffe2_1_1_cu_d_n_n_wrapper.html#ab2bd4fa54511b5584b259967f8029da4"> 116</a></span>  cudnnHandle_t <a class="code" href="classcaffe2_1_1_cu_d_n_n_wrapper.html#ab2bd4fa54511b5584b259967f8029da4">inline_cudnn_handle</a>() {</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">return</span> context_->cudnn_handle();</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  }</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> </div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="comment">// Executes the closure F on the CuDNNState associated with state_idx</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> F></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordtype">void</span> with_cudnn_state(<span class="keywordtype">size_t</span> state_idx, F&& f) {</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  CAFFE_ENFORCE(</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  state_idx < CAFFE2_COMPILE_TIME_MAX_CUDNN_STATES, <span class="stringliteral">"Invalid state_idx"</span>);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keyword">auto</span>& sync_state = cudnn_states()[context_->cuda_gpu_id()][state_idx];</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> </div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="classcaffe2_1_1_device_guard.html">DeviceGuard</a> dg(context_->cuda_gpu_id());</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="comment">// We need to serialize execution on the CuDNNState as we can't</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="comment">// allow multiple threads to race through the cudaEventRecord</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="comment">// calls (so a worker thread might wait on another worker thread's</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="comment">// execution)</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  std::lock_guard<std::mutex> g(sync_state.mutex);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordflow">if</span> (!sync_state.state.get()) {</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  sync_state.state.reset(<span class="keyword">new</span> <a class="code" href="classcaffe2_1_1_cu_d_n_n_state.html">CuDNNState</a>(context_->cuda_gpu_id()));</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  }</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  CHECK_NOTNULL(sync_state.state.get())->execute(context_->cuda_stream(), f);</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  }</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keyword">protected</span>:</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="comment">// Pointer to an external cuda context that the cudnn wrapper will use.</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <a class="code" href="classcaffe2_1_1_c_u_d_a_context.html">CUDAContext</a>* context_;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keyword">static</span> constexpr <span class="keywordtype">size_t</span> CAFFE2_COMPILE_TIME_MAX_CUDNN_STATES = 4;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"><a class="line" href="structcaffe2_1_1_cu_d_n_n_wrapper_1_1_synced_cu_d_n_n_state.html"> 146</a></span>  <span class="keyword">struct </span><a class="code" href="structcaffe2_1_1_cu_d_n_n_wrapper_1_1_synced_cu_d_n_n_state.html">SyncedCuDNNState</a> {</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  std::mutex mutex;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  std::unique_ptr<CuDNNState> state;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  };</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keyword">using</span> PerGPUCuDNNStates = std::array<</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  std::array<SyncedCuDNNState, CAFFE2_COMPILE_TIME_MAX_CUDNN_STATES>,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  CAFFE2_COMPILE_TIME_MAX_GPUS>;</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keyword">static</span> PerGPUCuDNNStates& cudnn_states();</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> </div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  DISABLE_COPY_AND_ASSIGN(<a class="code" href="classcaffe2_1_1_cu_d_n_n_wrapper.html">CuDNNWrapper</a>);</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</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">// namespace caffe2</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> <span class="preprocessor">#endif</span></div><div class="ttc" id="structcaffe2_1_1_cu_d_n_n_wrapper_1_1_synced_cu_d_n_n_state_html"><div class="ttname"><a href="structcaffe2_1_1_cu_d_n_n_wrapper_1_1_synced_cu_d_n_n_state.html">caffe2::CuDNNWrapper::SyncedCuDNNState</a></div><div class="ttdef"><b>Definition:</b> <a href="cudnn__wrappers_8h_source.html#l00146">cudnn_wrappers.h:146</a></div></div>
<div class="ttc" id="classcaffe2_1_1_cu_d_n_n_wrapper_html_a0efa9399b67e409f822eb979d61e0824"><div class="ttname"><a href="classcaffe2_1_1_cu_d_n_n_wrapper.html#a0efa9399b67e409f822eb979d61e0824">caffe2::CuDNNWrapper::CuDNNWrapper</a></div><div class="ttdeci">CuDNNWrapper(CUDAContext *context)</div><div class="ttdoc">Creates a cudnn wrapper associated with a CUDAContext object. </div><div class="ttdef"><b>Definition:</b> <a href="cudnn__wrappers_8h_source.html#l00110">cudnn_wrappers.h:110</a></div></div>
<div class="ttc" id="classcaffe2_1_1_device_guard_html"><div class="ttname"><a href="classcaffe2_1_1_device_guard.html">caffe2::DeviceGuard</a></div><div class="ttdef"><b>Definition:</b> <a href="common__gpu_8h_source.html#l00278">common_gpu.h:278</a></div></div>
<div class="ttc" id="classcaffe2_1_1_cu_d_n_n_state_html"><div class="ttname"><a href="classcaffe2_1_1_cu_d_n_n_state.html">caffe2::CuDNNState</a></div><div class="ttdef"><b>Definition:</b> <a href="cudnn__wrappers_8h_source.html#l00049">cudnn_wrappers.h:49</a></div></div>
<div class="ttc" id="structcaffe2_1_1_cu_d_n_n_workspace_html"><div class="ttname"><a href="structcaffe2_1_1_cu_d_n_n_workspace.html">caffe2::CuDNNWorkspace</a></div><div class="ttdoc">CuDNNWorkspace is a wrapper around a raw cuda pointer that holds the cudnn scratch space...</div><div class="ttdef"><b>Definition:</b> <a href="cudnn__wrappers_8h_source.html#l00021">cudnn_wrappers.h:21</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_cu_d_n_n_wrapper_html"><div class="ttname"><a href="classcaffe2_1_1_cu_d_n_n_wrapper.html">caffe2::CuDNNWrapper</a></div><div class="ttdoc">CuDNNWrapper is a class that wraps the cudnn handles and cudnn workspaces. </div><div class="ttdef"><b>Definition:</b> <a href="cudnn__wrappers_8h_source.html#l00104">cudnn_wrappers.h:104</a></div></div>
<div class="ttc" id="classcaffe2_1_1_cu_d_n_n_wrapper_html_ab2bd4fa54511b5584b259967f8029da4"><div class="ttname"><a href="classcaffe2_1_1_cu_d_n_n_wrapper.html#ab2bd4fa54511b5584b259967f8029da4">caffe2::CuDNNWrapper::inline_cudnn_handle</a></div><div class="ttdeci">cudnnHandle_t inline_cudnn_handle()</div><div class="ttdoc">Returns the inline cudnn handle that executes on the current thread&#39;s cuda_stream. </div><div class="ttdef"><b>Definition:</b> <a href="cudnn__wrappers_8h_source.html#l00116">cudnn_wrappers.h:116</a></div></div>
<div class="ttc" id="classcaffe2_1_1_c_u_d_a_context_html"><div class="ttname"><a href="classcaffe2_1_1_c_u_d_a_context.html">caffe2::CUDAContext</a></div><div class="ttdef"><b>Definition:</b> <a href="context__gpu_8h_source.html#l00121">context_gpu.h:121</a></div></div>
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