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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">#include <string></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include "caffe2/core/init.h"</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#include "caffe2/core/logging.h"</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#include "caffe2/core/operator.h"</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#include "caffe2/proto/caffe2.pb.h"</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">#include "caffe2/utils/proto_utils.h"</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "caffe2/utils/string_utils.h"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> CAFFE2_DEFINE_string(net, <span class="stringliteral">""</span>, <span class="stringliteral">"The given net to benchmark."</span>);</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> CAFFE2_DEFINE_string(</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  init_net,</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="stringliteral">""</span>,</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="stringliteral">"The given net to initialize any parameters."</span>);</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> CAFFE2_DEFINE_string(</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  input,</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="stringliteral">""</span>,</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="stringliteral">"Input that is needed for running the network. If "</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="stringliteral">"multiple input needed, use comma separated string."</span>);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> CAFFE2_DEFINE_string(</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  input_file,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="stringliteral">""</span>,</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="stringliteral">"Input file that contain the serialized protobuf for "</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="stringliteral">"the input blobs. If multiple input needed, use comma "</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="stringliteral">"separated string. Must have the same number of items "</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="stringliteral">"as input does."</span>);</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> CAFFE2_DEFINE_string(</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  input_dims,</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="stringliteral">""</span>,</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="stringliteral">"Alternate to input_files, if all inputs are simple "</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="stringliteral">"float TensorCPUs, specify the dimension using comma "</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="stringliteral">"separated numbers. If multiple input needed, use "</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="stringliteral">"semicolon to separate the dimension of different "</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="stringliteral">"tensors."</span>);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> CAFFE2_DEFINE_string(</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  input_type,</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="stringliteral">""</span>, <span class="stringliteral">"Input type (uint8_t/float)"</span>);</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> CAFFE2_DEFINE_string(</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  output,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="stringliteral">""</span>,</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="stringliteral">"Output that should be dumped after the execution "</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="stringliteral">"finishes. If multiple outputs are needed, use comma "</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="stringliteral">"separated string. If you want to dump everything, pass "</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="stringliteral">"'*' as the output value."</span>);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> CAFFE2_DEFINE_string(</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  output_folder,</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="stringliteral">""</span>,</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="stringliteral">"The folder that the output should be written to. This "</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="stringliteral">"folder must already exist in the file system."</span>);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> CAFFE2_DEFINE_int(warmup, 0, <span class="stringliteral">"The number of iterations to warm up."</span>);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> CAFFE2_DEFINE_int(iter, 10, <span class="stringliteral">"The number of iterations to run."</span>);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> CAFFE2_DEFINE_bool(</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  run_individual,</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keyword">false</span>,</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="stringliteral">"Whether to benchmark individual operators."</span>);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> CAFFE2_DEFINE_bool(force_engine, <span class="keyword">false</span>, <span class="stringliteral">"Force engine field for all operators"</span>);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> CAFFE2_DEFINE_string(engine, <span class="stringliteral">""</span>, <span class="stringliteral">"Forced engine field value"</span>);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> CAFFE2_DEFINE_bool(force_algo, <span class="keyword">false</span>, <span class="stringliteral">"Force algo arg for all operators"</span>);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> CAFFE2_DEFINE_string(algo, <span class="stringliteral">""</span>, <span class="stringliteral">"Forced algo arg value"</span>);</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> <span class="keyword">using</span> std::string;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="keyword">using</span> std::unique_ptr;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="keyword">using</span> std::vector;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="keywordtype">int</span> main(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span>** argv) {</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="namespacecaffe2.html#af70b04a01a1779ddd61f9ef1e0a141b7">caffe2::GlobalInit</a>(&argc, &argv);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  unique_ptr<caffe2::Workspace> workspace(<span class="keyword">new</span> <a class="code" href="classcaffe2_1_1_workspace.html">caffe2::Workspace</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>  <span class="comment">// Run initialization network.</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  caffe2::NetDef net_def;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  CAFFE_ENFORCE(ReadProtoFromFile(caffe2::FLAGS_init_net, &net_def));</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  CAFFE_ENFORCE(workspace->RunNetOnce(net_def));</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="comment">// Load input.</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordflow">if</span> (caffe2::FLAGS_input.size()) {</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  vector<string> input_names = caffe2::split(<span class="charliteral">','</span>, caffe2::FLAGS_input);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">if</span> (caffe2::FLAGS_input_file.size()) {</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  vector<string> input_files = caffe2::split(<span class="charliteral">','</span>, caffe2::FLAGS_input_file);</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  CAFFE_ENFORCE_EQ(</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  input_names.size(),</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  input_files.size(),</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="stringliteral">"Input name and file should have the same number."</span>);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < input_names.size(); ++i) {</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  caffe2::BlobProto blob_proto;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  CAFFE_ENFORCE(caffe2::ReadProtoFromFile(input_files[i], &blob_proto));</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  workspace->CreateBlob(input_names[i])->Deserialize(blob_proto);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  }</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (caffe2::FLAGS_input_dims.size() || caffe2::FLAGS_input_type.size()) {</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  CAFFE_ENFORCE_NE(0, caffe2::FLAGS_input_dims.size(),</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="stringliteral">"Input dims must be specified when input tensors are used."</span>);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  CAFFE_ENFORCE_NE(0, caffe2::FLAGS_input_type.size(),</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="stringliteral">"Input type must be specified when input tensors are used."</span>);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  vector<string> input_dims_list =</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  caffe2::split(<span class="charliteral">';'</span>, caffe2::FLAGS_input_dims);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  CAFFE_ENFORCE_EQ(</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  input_names.size(),</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  input_dims_list.size(),</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="stringliteral">"Input name and dims should have the same number of items."</span>);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  vector<string> input_type_list =</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  caffe2::split(<span class="charliteral">';'</span>, caffe2::FLAGS_input_type);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  CAFFE_ENFORCE_EQ(</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  input_names.size(),</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  input_type_list.size(),</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="stringliteral">"Input name and type should have the same number of items."</span>);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < input_names.size(); ++i) {</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  vector<string> input_dims_str = caffe2::split(<span class="charliteral">','</span>, input_dims_list[i]);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  vector<int> input_dims;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keywordtype">string</span>& s : input_dims_str) {</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  input_dims.push_back(caffe2::stoi(s));</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>  <a class="code" href="classcaffe2_1_1_blob.html">caffe2::Blob</a>* blob = workspace->GetBlob(input_names[i]);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordflow">if</span> (blob == <span class="keyword">nullptr</span>) {</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  blob = workspace->CreateBlob(input_names[i]);</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  }</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <a class="code" href="classcaffe2_1_1_tensor.html">caffe2::TensorCPU</a>* tensor = blob-><a class="code" href="classcaffe2_1_1_blob.html#a355cff5bfcdfce83ac53ce2a2eef9ee4">GetMutable</a><<a class="code" href="classcaffe2_1_1_tensor.html">caffe2::TensorCPU</a>>();</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  CHECK_NOTNULL(tensor);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  tensor-><a class="code" href="classcaffe2_1_1_tensor.html#a359b5ed5cfd9beaf7f62a5561d939c3b">Resize</a>(input_dims);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordflow">if</span> (input_type_list[i] == <span class="stringliteral">"uint8_t"</span>) {</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  tensor-><a class="code" href="classcaffe2_1_1_tensor.html#a5fbe65f2d062db6f1f5ab319b0f811fd">mutable_data</a><uint8_t>();</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (input_type_list[i] == <span class="stringliteral">"float"</span>) {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  tensor-><a class="code" href="classcaffe2_1_1_tensor.html#a5fbe65f2d062db6f1f5ab319b0f811fd">mutable_data</a><<span class="keywordtype">float</span>>();</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  } <span class="keywordflow">else</span> {</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  CAFFE_THROW(<span class="stringliteral">"Unsupported input type: "</span>, input_type_list[i]);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  }</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="keywordflow">else</span> {</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  CAFFE_THROW(</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="stringliteral">"You requested input tensors, but neither input_file nor "</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="stringliteral">"input_dims is set."</span>);</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  }</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="comment">// Run main network.</span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  CAFFE_ENFORCE(ReadProtoFromFile(caffe2::FLAGS_net, &net_def));</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="comment">// force changing engine and algo</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">if</span> (caffe2::FLAGS_force_engine) {</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  LOG(INFO) << <span class="stringliteral">"force engine be: "</span> << caffe2::FLAGS_engine;</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& op : net_def.op()) {</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keyword">const_cast<</span>caffe2::OperatorDef*<span class="keyword">></span>(&op)->set_engine(caffe2::FLAGS_engine);</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>  }</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">if</span> (caffe2::FLAGS_force_algo) {</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  LOG(INFO) << <span class="stringliteral">"force algo be: "</span> << caffe2::FLAGS_algo;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span>& op : net_def.op()) {</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  caffe2::GetMutableArgument(</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="stringliteral">"algo"</span>, <span class="keyword">true</span>, const_cast<caffe2::OperatorDef*>(&op))</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  ->set_s(caffe2::FLAGS_algo);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  }</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  }</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <a class="code" href="classcaffe2_1_1_net_base.html">caffe2::NetBase</a>* net = workspace->CreateNet(net_def);</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  CHECK_NOTNULL(net);</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  net-><a class="code" href="classcaffe2_1_1_net_base.html#a69aed01ddcd98e7fa13b174c4cd134a8">TEST_Benchmark</a>(</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  caffe2::FLAGS_warmup, caffe2::FLAGS_iter, caffe2::FLAGS_run_individual);</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> </div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordtype">string</span> output_prefix = caffe2::FLAGS_output_folder.size()</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  ? caffe2::FLAGS_output_folder + <span class="stringliteral">"/"</span></div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  : <span class="stringliteral">""</span>;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">if</span> (caffe2::FLAGS_output.size()) {</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  vector<string> output_names = caffe2::split(<span class="charliteral">','</span>, caffe2::FLAGS_output);</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordflow">if</span> (caffe2::FLAGS_output == <span class="stringliteral">"*"</span>) {</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  output_names = workspace->Blobs();</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  }</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keywordtype">string</span>& name : output_names) {</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  CAFFE_ENFORCE(</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  workspace->HasBlob(name),</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="stringliteral">"You requested a non-existing blob: "</span>,</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  name);</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keywordtype">string</span> serialized = workspace->GetBlob(name)->Serialize(name);</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordtype">string</span> output_filename = output_prefix + name;</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  caffe2::WriteStringToFile(serialized, output_filename.c_str());</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  }</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  }</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="keywordflow">return</span> 0;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> }</div><div class="ttc" id="classcaffe2_1_1_blob_html"><div class="ttname"><a href="classcaffe2_1_1_blob.html">caffe2::Blob</a></div><div class="ttdoc">Blob is a general container that hosts a typed pointer. </div><div class="ttdef"><b>Definition:</b> <a href="blob_8h_source.html#l00025">blob.h:25</a></div></div>
<div class="ttc" id="namespacecaffe2_html_af70b04a01a1779ddd61f9ef1e0a141b7"><div class="ttname"><a href="namespacecaffe2.html#af70b04a01a1779ddd61f9ef1e0a141b7">caffe2::GlobalInit</a></div><div class="ttdeci">bool GlobalInit(int *pargc, char ***pargv)</div><div class="ttdoc">Initialize the global environment of caffe2. </div><div class="ttdef"><b>Definition:</b> <a href="init_8cc_source.html#l00018">init.cc:18</a></div></div>
<div class="ttc" id="classcaffe2_1_1_tensor_html"><div class="ttname"><a href="classcaffe2_1_1_tensor.html">caffe2::Tensor< CPUContext ></a></div></div>
<div class="ttc" id="classcaffe2_1_1_tensor_html_a5fbe65f2d062db6f1f5ab319b0f811fd"><div class="ttname"><a href="classcaffe2_1_1_tensor.html#a5fbe65f2d062db6f1f5ab319b0f811fd">caffe2::Tensor::mutable_data</a></div><div class="ttdeci">T * mutable_data()</div><div class="ttdoc">Returns a typed pointer of the underlying storage. </div><div class="ttdef"><b>Definition:</b> <a href="tensor_8h_source.html#l00578">tensor.h:578</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_tensor_html_a359b5ed5cfd9beaf7f62a5561d939c3b"><div class="ttname"><a href="classcaffe2_1_1_tensor.html#a359b5ed5cfd9beaf7f62a5561d939c3b">caffe2::Tensor::Resize</a></div><div class="ttdeci">void Resize(Ts...dim_source)</div><div class="ttdoc">Resizes a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="tensor_8h_source.html#l00288">tensor.h:288</a></div></div>
<div class="ttc" id="classcaffe2_1_1_blob_html_a355cff5bfcdfce83ac53ce2a2eef9ee4"><div class="ttname"><a href="classcaffe2_1_1_blob.html#a355cff5bfcdfce83ac53ce2a2eef9ee4">caffe2::Blob::GetMutable</a></div><div class="ttdeci">T * GetMutable(bool *is_new_object=nullptr)</div><div class="ttdoc">Gets a mutable pointer to the stored object. </div><div class="ttdef"><b>Definition:</b> <a href="blob_8h_source.html#l00101">blob.h:101</a></div></div>
<div class="ttc" id="classcaffe2_1_1_net_base_html"><div class="ttname"><a href="classcaffe2_1_1_net_base.html">caffe2::NetBase</a></div><div class="ttdef"><b>Definition:</b> <a href="net_8h_source.html#l00035">net.h:35</a></div></div>
<div class="ttc" id="classcaffe2_1_1_net_base_html_a69aed01ddcd98e7fa13b174c4cd134a8"><div class="ttname"><a href="classcaffe2_1_1_net_base.html#a69aed01ddcd98e7fa13b174c4cd134a8">caffe2::NetBase::TEST_Benchmark</a></div><div class="ttdeci">virtual vector< float > TEST_Benchmark(const int, const int, const bool)</div><div class="ttdoc">Benchmarks a network. </div><div class="ttdef"><b>Definition:</b> <a href="net_8h_source.html#l00077">net.h:77</a></div></div>
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