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| <div class="title">FullyConnectedLayer.cpp</div> </div> |
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| <a href="src_2graph_2nodes_2_fully_connected_layer_8cpp.xhtml">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">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2018-2019 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="_fully_connected_layer_node_8h.xhtml">arm_compute/graph/nodes/FullyConnectedLayerNode.h</a>"</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> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_utils_8h.xhtml">arm_compute/core/Utils.h</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="graph_2_graph_8h.xhtml">arm_compute/graph/Graph.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_i_node_visitor_8h.xhtml">arm_compute/graph/INodeVisitor.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></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">namespace </span>graph</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> {</div><div class="line"><a name="l00034"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#af62c7158fbabce358a6f6f0efee791d0"> 34</a></span> <a class="code" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#af62c7158fbabce358a6f6f0efee791d0">FullyConnectedLayerNode::FullyConnectedLayerNode</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_outputs, <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> out_quant_info, <a class="code" href="structarm__compute_1_1_fully_connected_layer_info.xhtml">FullyConnectedLayerInfo</a> fc_info)</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  : _num_outputs(num_outputs), _out_quant_info(std::move(out_quant_info)), _info(fc_info)</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>  _input_edges.resize(3, <a class="code" href="namespacearm__compute_1_1graph.xhtml#a8e0b093eda0649ddbce791bb5076104f">EmptyEdgeID</a>);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  _outputs.resize(1, <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa94938a3eb11fda4724c362c53c28f24">NullTensorID</a>);</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"><a class="line" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a52400aeb76f277dca0ad7df201c7a196"> 41</a></span> <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> <a class="code" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a52400aeb76f277dca0ad7df201c7a196">FullyConnectedLayerNode::compute_weights_descriptor</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> &input_descriptor,</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_outputs,</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <a class="code" href="structarm__compute_1_1_fully_connected_layer_info.xhtml">FullyConnectedLayerInfo</a> fc_info,</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &weights_quant_info)</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_weights = 1;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_dimensions = input_descriptor.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">num_dimensions</a>();</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="comment">// Ignore the batch dimension if there is one:</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">if</span>(num_dimensions == 2 || num_dimensions == 4)</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>  num_dimensions--;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  }</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < num_dimensions; i++)</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>  num_weights *= input_descriptor.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>[i];</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  }</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> </div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> weights_descriptor = input_descriptor;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  weights_descriptor.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a> = <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(num_weights, <a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a>);</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>  <span class="comment">// If weights are tranposed, use tranposed shape</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">if</span>(!fc_info.<a class="code" href="structarm__compute_1_1_fully_connected_layer_info.xhtml#a11851649b6a7cd12ae25cf72b769cfb9">transpose_weights</a>)</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  {</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  weights_descriptor.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a> = <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a>, num_weights);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  }</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>  <span class="comment">// Set quantization info if present</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">if</span>(!weights_quant_info.<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a644718bb2fb240de962dc3c9a1fdf0dc">empty</a>())</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  {</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  weights_descriptor.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a> = weights_quant_info;</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> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">return</span> weights_descriptor;</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"><a class="line" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#abd7162842409e00f73b226a622f37544"> 76</a></span> <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> <a class="code" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#abd7162842409e00f73b226a622f37544">FullyConnectedLayerNode::compute_output_descriptor</a>(<span class="keyword">const</span> <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> &input_descriptor,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_outputs,</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &out_quant_info)</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> {</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="comment">// Note: Only 1D batch space is supported at the moment</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batches = input_descriptor.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>[1];</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">if</span>(input_descriptor.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">num_dimensions</a>() > 2)</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>  batches = input_descriptor.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>[3];</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="l00087"></a><span class="lineno"> 87</span>  <span class="comment">// Set descriptor shape</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> output_descriptor = input_descriptor;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  output_descriptor.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a> = <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">num_outputs</a>, batches);</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">// Set quantization info if present</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordflow">if</span>(!out_quant_info.<a class="code" href="classarm__compute_1_1_quantization_info.xhtml#a644718bb2fb240de962dc3c9a1fdf0dc">empty</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>  output_descriptor.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a> = out_quant_info;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  }</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordflow">return</span> output_descriptor;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> }</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#acadd42ba204d72f78bfef07cc4c864ab"> 100</a></span> <a class="code" href="structarm__compute_1_1_fully_connected_layer_info.xhtml">FullyConnectedLayerInfo</a> <a class="code" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#acadd42ba204d72f78bfef07cc4c864ab">FullyConnectedLayerNode::info</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="keyword"></span>{</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">return</span> _info;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> }</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00105"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b"> 105</a></span> <span class="keywordtype">bool</span> <a class="code" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">FullyConnectedLayerNode::forward_descriptors</a>()</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> {</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">if</span>((<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a6a156d1ea7a01d8b27131f30aacaf40b">input_id</a>(0) != <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa94938a3eb11fda4724c362c53c28f24">NullTensorID</a>) && (<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a339f9817d95cb065b7670d35c03f4d88">output_id</a>(0) != <a class="code" href="namespacearm__compute_1_1graph.xhtml#aa94938a3eb11fda4724c362c53c28f24">NullTensorID</a>))</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>  <a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml">Tensor</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = <a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(0);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>->desc() = <a class="code" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">configure_output</a>(0);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordflow">return</span> <span class="keyword">true</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="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> }</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710"> 117</a></span> <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> <a class="code" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">FullyConnectedLayerNode::configure_output</a>(<span class="keywordtype">size_t</span> idx)<span class="keyword"> const</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="keyword"></span>{</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(idx);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml">Tensor</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = <a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> == <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#abd7162842409e00f73b226a622f37544">compute_output_descriptor</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>->desc(), _num_outputs, _out_quant_info);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> }</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00126"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5"> 126</a></span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16">NodeType</a> <a class="code" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5">FullyConnectedLayerNode::type</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="keyword"></span>{</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a658061ff1dac70c02116fae6c044da1a">NodeType::FullyConnectedLayer</a>;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> }</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div><div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f"> 131</a></span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">FullyConnectedLayerNode::accept</a>(<a class="code" href="classarm__compute_1_1graph_1_1_i_node_visitor.xhtml">INodeVisitor</a> &v)</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>  v.<a class="code" href="classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#af2dbe7c232e1d5d1a9d0621c3bb483a0">visit</a>(*<span class="keyword">this</span>);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> }</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> } <span class="comment">// namespace graph</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> } <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="structarm__compute_1_1graph_1_1_tensor_descriptor_xhtml_a1fcd64682b37ed3c2098d0094ce788d8"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">arm_compute::graph::TensorDescriptor::shape</a></div><div class="ttdeci">TensorShape shape</div><div class="ttdoc">Tensor shape.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_descriptor_8h_source.xhtml#l00109">TensorDescriptor.h:109</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1graph_1_1_tensor_descriptor_xhtml"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">arm_compute::graph::TensorDescriptor</a></div><div class="ttdoc">Tensor metadata class.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_descriptor_8h_source.xhtml#l00038">TensorDescriptor.h:38</a></div></div> |
| <div class="ttc" id="_fully_connected_layer_node_8h_xhtml"><div class="ttname"><a href="_fully_connected_layer_node_8h.xhtml">FullyConnectedLayerNode.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a75d7c8bdf0059bb235880f8ef8d190bc"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a75d7c8bdf0059bb235880f8ef8d190bc">arm_compute::graph::INode::num_outputs</a></div><div class="ttdeci">size_t num_outputs() const</div><div class="ttdoc">Returns number of outputs of the node.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00183">INode.cpp:183</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_fully_connected_layer_node_xhtml_acadd42ba204d72f78bfef07cc4c864ab"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#acadd42ba204d72f78bfef07cc4c864ab">arm_compute::graph::FullyConnectedLayerNode::info</a></div><div class="ttdeci">FullyConnectedLayerInfo info() const</div><div class="ttdoc">Fully connected layer addition information.</div><div class="ttdef"><b>Definition:</b> <a href="src_2graph_2nodes_2_fully_connected_layer_8cpp_source.xhtml#l00100">FullyConnectedLayer.cpp:100</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00466">Error.h:466</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_fully_connected_layer_node_xhtml_adb48b5745c55605a2d4ec6f665bb7f3f"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#adb48b5745c55605a2d4ec6f665bb7f3f">arm_compute::graph::FullyConnectedLayerNode::accept</a></div><div class="ttdeci">void accept(INodeVisitor &v) override</div><div class="ttdoc">Accepts a node visitor.</div><div class="ttdef"><b>Definition:</b> <a href="src_2graph_2nodes_2_fully_connected_layer_8cpp_source.xhtml#l00131">FullyConnectedLayer.cpp:131</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1_fully_connected_layer_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_fully_connected_layer_info.xhtml">arm_compute::FullyConnectedLayerInfo</a></div><div class="ttdoc">Fully connected layer info.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00803">Types.h:803</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2020 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div> |
| <div class="ttc" id="arm__compute_2core_2_utils_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_utils_8h.xhtml">Utils.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_quantization_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_quantization_info.xhtml">arm_compute::QuantizationInfo</a></div><div class="ttdoc">Quantization information.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00069">QuantizationInfo.h:69</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1graph_1_1_tensor_descriptor_xhtml_a65bc62ff84efcb7e4a410600480a4dc9"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">arm_compute::graph::TensorDescriptor::quant_info</a></div><div class="ttdeci">QuantizationInfo quant_info</div><div class="ttdoc">Quantization info.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_descriptor_8h_source.xhtml#l00112">TensorDescriptor.h:112</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00152">Error.h:152</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_visitor_xhtml_af2dbe7c232e1d5d1a9d0621c3bb483a0"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node_visitor.xhtml#af2dbe7c232e1d5d1a9d0621c3bb483a0">arm_compute::graph::INodeVisitor::visit</a></div><div class="ttdeci">virtual void visit(INode &n)=0</div><div class="ttdoc">Visit INode.</div></div> |
| <div class="ttc" id="_i_node_visitor_8h_xhtml"><div class="ttname"><a href="_i_node_visitor_8h.xhtml">INodeVisitor.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a27369471d9b2ba47746e1e923f585b9f"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">arm_compute::graph::INode::output</a></div><div class="ttdeci">Tensor * output(size_t idx) const</div><div class="ttdoc">Returns the tensor of a given output of the node.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00158">INode.cpp:158</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_fully_connected_layer_node_xhtml_a3f18a7449b9d7fc9e5fec212b8e61710"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a3f18a7449b9d7fc9e5fec212b8e61710">arm_compute::graph::FullyConnectedLayerNode::configure_output</a></div><div class="ttdeci">TensorDescriptor configure_output(size_t idx) const override</div><div class="ttdoc">Calculates output configuration.</div><div class="ttdef"><b>Definition:</b> <a href="src_2graph_2nodes_2_fully_connected_layer_8cpp_source.xhtml#l00117">FullyConnectedLayer.cpp:117</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a6a156d1ea7a01d8b27131f30aacaf40b"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a6a156d1ea7a01d8b27131f30aacaf40b">arm_compute::graph::INode::input_id</a></div><div class="ttdeci">TensorID input_id(size_t idx) const</div><div class="ttdoc">Returns the tensor ID of a given input of the node.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00137">INode.cpp:137</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_fully_connected_layer_node_xhtml_abd7162842409e00f73b226a622f37544"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#abd7162842409e00f73b226a622f37544">arm_compute::graph::FullyConnectedLayerNode::compute_output_descriptor</a></div><div class="ttdeci">static TensorDescriptor compute_output_descriptor(const TensorDescriptor &input_descriptor, unsigned int num_outputs, const QuantizationInfo &out_quant_info=QuantizationInfo())</div><div class="ttdoc">Computes fully connected layer output descriptor.</div><div class="ttdef"><b>Definition:</b> <a href="src_2graph_2nodes_2_fully_connected_layer_8cpp_source.xhtml#l00076">FullyConnectedLayer.cpp:76</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_acac9cbaeea226ed297804c012dc12b16"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16">arm_compute::graph::NodeType</a></div><div class="ttdeci">NodeType</div><div class="ttdoc">Supported nodes.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00132">Types.h:132</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00102">AbsoluteDifference.cpp:102</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a8e0b093eda0649ddbce791bb5076104f"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a8e0b093eda0649ddbce791bb5076104f">arm_compute::graph::EmptyEdgeID</a></div><div class="ttdeci">constexpr EdgeID EmptyEdgeID</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00073">Types.h:73</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_fully_connected_layer_node_xhtml_a65d13dc93e2df5e8ab725263cf9f4ac5"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a65d13dc93e2df5e8ab725263cf9f4ac5">arm_compute::graph::FullyConnectedLayerNode::type</a></div><div class="ttdeci">NodeType type() const override</div><div class="ttdoc">Returns node's type.</div><div class="ttdef"><b>Definition:</b> <a href="src_2graph_2nodes_2_fully_connected_layer_8cpp_source.xhtml#l00126">FullyConnectedLayer.cpp:126</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_acac9cbaeea226ed297804c012dc12b16a658061ff1dac70c02116fae6c044da1a"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16a658061ff1dac70c02116fae6c044da1a">arm_compute::graph::NodeType::FullyConnectedLayer</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_quantization_info_xhtml_a644718bb2fb240de962dc3c9a1fdf0dc"><div class="ttname"><a href="classarm__compute_1_1_quantization_info.xhtml#a644718bb2fb240de962dc3c9a1fdf0dc">arm_compute::QuantizationInfo::empty</a></div><div class="ttdeci">bool empty() const</div><div class="ttdoc">Indicates whether this QuantizationInfo has valid settings or not.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00140">QuantizationInfo.h:140</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a80a5f2d6e3a697c9aad893a3b4242615"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">arm_compute::Dimensions::num_dimensions</a></div><div class="ttdeci">unsigned int num_dimensions() const</div><div class="ttdoc">Returns the effective dimensionality of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00122">Dimensions.h:122</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_fully_connected_layer_node_xhtml_af62c7158fbabce358a6f6f0efee791d0"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#af62c7158fbabce358a6f6f0efee791d0">arm_compute::graph::FullyConnectedLayerNode::FullyConnectedLayerNode</a></div><div class="ttdeci">FullyConnectedLayerNode(unsigned int num_outputs, QuantizationInfo out_quant_info=QuantizationInfo(), FullyConnectedLayerInfo fc_info=FullyConnectedLayerInfo())</div><div class="ttdoc">Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="src_2graph_2nodes_2_fully_connected_layer_8cpp_source.xhtml#l00034">FullyConnectedLayer.cpp:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_fully_connected_layer_node_xhtml_a6272eb9643b239dd0c1e7adde3ee093b"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a6272eb9643b239dd0c1e7adde3ee093b">arm_compute::graph::FullyConnectedLayerNode::forward_descriptors</a></div><div class="ttdeci">bool forward_descriptors() override</div><div class="ttdoc">Forwards descriptor information to outputs if possible.</div><div class="ttdef"><b>Definition:</b> <a href="src_2graph_2nodes_2_fully_connected_layer_8cpp_source.xhtml#l00105">FullyConnectedLayer.cpp:105</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a339f9817d95cb065b7670d35c03f4d88"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a339f9817d95cb065b7670d35c03f4d88">arm_compute::graph::INode::output_id</a></div><div class="ttdeci">TensorID output_id(size_t idx) const</div><div class="ttdoc">Returns the tensor ID of a given output of the node.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00144">INode.cpp:144</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1_fully_connected_layer_info_xhtml_a11851649b6a7cd12ae25cf72b769cfb9"><div class="ttname"><a href="structarm__compute_1_1_fully_connected_layer_info.xhtml#a11851649b6a7cd12ae25cf72b769cfb9">arm_compute::FullyConnectedLayerInfo::transpose_weights</a></div><div class="ttdeci">bool transpose_weights</div><div class="ttdoc">Transpose weights if true.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00806">Types.h:806</a></div></div> |
| <div class="ttc" id="graph_2_graph_8h_xhtml"><div class="ttname"><a href="graph_2_graph_8h.xhtml">Graph.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_fully_connected_layer_node_xhtml_a52400aeb76f277dca0ad7df201c7a196"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_fully_connected_layer_node.xhtml#a52400aeb76f277dca0ad7df201c7a196">arm_compute::graph::FullyConnectedLayerNode::compute_weights_descriptor</a></div><div class="ttdeci">static TensorDescriptor compute_weights_descriptor(const TensorDescriptor &input_descriptor, unsigned int num_outputs, FullyConnectedLayerInfo fc_info=FullyConnectedLayerInfo(), const QuantizationInfo &weights_quant_info=QuantizationInfo())</div><div class="ttdoc">Computes weights descriptor.</div><div class="ttdef"><b>Definition:</b> <a href="src_2graph_2nodes_2_fully_connected_layer_8cpp_source.xhtml#l00041">FullyConnectedLayer.cpp:41</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_aa94938a3eb11fda4724c362c53c28f24"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#aa94938a3eb11fda4724c362c53c28f24">arm_compute::graph::NullTensorID</a></div><div class="ttdeci">constexpr TensorID NullTensorID</div><div class="ttdoc">Constant NodeID specifying an equivalent of null node.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00069">Types.h:69</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_visitor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node_visitor.xhtml">arm_compute::graph::INodeVisitor</a></div><div class="ttdoc">Node visitor interface.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_visitor_8h_source.xhtml#l00034">INodeVisitor.h:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_ad7c09b0faaf3c808b0489012204852a9"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">arm_compute::graph::INode::input</a></div><div class="ttdeci">Tensor * input(size_t idx) const</div><div class="ttdoc">Returns the tensor of a given input of the node.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00150">INode.cpp:150</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a989ab3e96426615bb98e04e0235088ca"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">arm_compute::test::validation::src</a></div><div class="ttdeci">cast configure & src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_cast_8cpp_source.xhtml#l00169">Cast.cpp:169</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_tensor.xhtml">arm_compute::graph::Tensor</a></div><div class="ttdoc">Tensor object.</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_tensor_8h_source.xhtml#l00041">Tensor.h:41</a></div></div> |
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