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| <div class="title">GoogLeNetInceptionV4ConvolutionLayerDataset Class Reference<span class="mlabels"><span class="mlabel">final</span></span></div> </div> |
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| |
| <p><code>#include <<a class="el" href="_goog_le_net_inception_v4_convolution_layer_dataset_8h_source.xhtml">GoogLeNetInceptionV4ConvolutionLayerDataset.h</a>></code></p> |
| <div class="dynheader"> |
| Collaboration diagram for GoogLeNetInceptionV4ConvolutionLayerDataset:</div> |
| <div class="dyncontent"> |
| <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_convolution_layer_dataset__coll__graph.svg" width="238" height="127"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe> |
| </div> |
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| <table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> |
| Public Member Functions</h2></td></tr> |
| <tr class="memitem:a8d29b2e598c645471e9b978e4317d3d9"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_convolution_layer_dataset.xhtml#a8d29b2e598c645471e9b978e4317d3d9">GoogLeNetInceptionV4ConvolutionLayerDataset</a> ()</td></tr> |
| <tr class="separator:a8d29b2e598c645471e9b978e4317d3d9"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="inherit_header pub_methods_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml">ConvolutionLayerDataset</a></td></tr> |
| <tr class="memitem:a2fcbf5359798ec294d009f286fd802e6 inherit pub_methods_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset_1_1iterator.xhtml">iterator</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a2fcbf5359798ec294d009f286fd802e6">begin</a> () const </td></tr> |
| <tr class="separator:a2fcbf5359798ec294d009f286fd802e6 inherit pub_methods_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab8e4e3e2a7bf18888b71bdf9dda0770b inherit pub_methods_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#ab8e4e3e2a7bf18888b71bdf9dda0770b">size</a> () const </td></tr> |
| <tr class="separator:ab8e4e3e2a7bf18888b71bdf9dda0770b inherit pub_methods_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a3f1ddb8fe464be68a02cc1b81ee5e3e7 inherit pub_methods_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a> (<a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> src, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> weights, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> biases, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> dst, <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> info)</td></tr> |
| <tr class="separator:a3f1ddb8fe464be68a02cc1b81ee5e3e7 inherit pub_methods_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a> |
| Additional Inherited Members</h2></td></tr> |
| <tr class="inherit_header pub_types_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset"><td colspan="2" onclick="javascript:toggleInherit('pub_types_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset')"><img src="closed.png" alt="-"/> Public Types inherited from <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml">ConvolutionLayerDataset</a></td></tr> |
| <tr class="memitem:aa29c9ab44036acf654b39611cee4b024 inherit pub_types_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#aa29c9ab44036acf654b39611cee4b024">type</a> = std::tuple< <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>, <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>, <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> ></td></tr> |
| <tr class="separator:aa29c9ab44036acf654b39611cee4b024 inherit pub_types_classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"> |
| <p>Definition at line <a class="el" href="_goog_le_net_inception_v4_convolution_layer_dataset_8h_source.xhtml#l00040">40</a> of file <a class="el" href="_goog_le_net_inception_v4_convolution_layer_dataset_8h_source.xhtml">GoogLeNetInceptionV4ConvolutionLayerDataset.h</a>.</p> |
| </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a class="anchor" id="a8d29b2e598c645471e9b978e4317d3d9"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_convolution_layer_dataset.xhtml">GoogLeNetInceptionV4ConvolutionLayerDataset</a> </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Definition at line <a class="el" href="_goog_le_net_inception_v4_convolution_layer_dataset_8h_source.xhtml#l00044">44</a> of file <a class="el" href="_goog_le_net_inception_v4_convolution_layer_dataset_8h_source.xhtml">GoogLeNetInceptionV4ConvolutionLayerDataset.h</a>.</p> |
| |
| <p>References <a class="el" href="_convolution_layer_dataset_8h_source.xhtml#l00103">ConvolutionLayerDataset::add_config()</a>, and <a class="el" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">arm_compute::U</a>.</p> |
| <div class="fragment"><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="comment">// conv1_3x3_s2</span></div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(299U, 299U, 3U), TensorShape(3U, 3U, 3U, 32U), TensorShape(32U), TensorShape(149U, 149U, 32U), PadStrideInfo(2, 2, 0, 0));</div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="comment">// conv2_3x3_s1</span></div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(149U, 149U, 32U), TensorShape(3U, 3U, 32U, 32U), TensorShape(32U), TensorShape(147U, 147U, 32U), PadStrideInfo(1, 1, 0, 0));</div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="comment">// conv3_3x3_s1</span></div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(147U, 147U, 32U), TensorShape(3U, 3U, 32U, 64U), TensorShape(64U), TensorShape(147U, 147U, 64U), PadStrideInfo(1, 1, 1, 1));</div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="comment">// inception_stem1_3x3_s2</span></div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(147U, 147U, 64U), TensorShape(3U, 3U, 64U, 96U), TensorShape(96U), TensorShape(73U, 73U, 96U), PadStrideInfo(2, 2, 0, 0));</div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="comment">// inception_stem2_3x3_reduce, inception_stem2_1x7_reduce</span></div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(73U, 73U, 160U), TensorShape(1U, 1U, 160U, 64U), TensorShape(64U), TensorShape(73U, 73U, 64U), PadStrideInfo(1, 1, 0, 0));</div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="comment">// inception_stem2_3x3, inception_stem2_3x3_2</span></div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(73U, 73U, 64U), TensorShape(3U, 3U, 64U, 96U), TensorShape(96U), TensorShape(71U, 71U, 96U), PadStrideInfo(1, 1, 0, 0));</div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="comment">// inception_stem2_1x7</span></div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(73U, 73U, 64U), TensorShape(7U, 1U, 64U, 64U), TensorShape(64U), TensorShape(73U, 73U, 64U), PadStrideInfo(1, 1, 3, 0));</div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="comment">// inception_stem2_7x1</span></div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(73U, 73U, 64U), TensorShape(1U, 7U, 64U, 64U), TensorShape(64U), TensorShape(73U, 73U, 64U), PadStrideInfo(1, 1, 0, 3));</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="comment">// inception_stem3_3x3_s2</span></div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(71U, 71U, 192U), TensorShape(3U, 3U, 192U, 192U), TensorShape(192U), TensorShape(35U, 35U, 192U), PadStrideInfo(2, 2, 0, 0));</div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="comment">// inception_a1_1x1_2, inception_a1_1x1, inception_a2_1x1_2, inception_a2_1x1, inception_a3_1x1_2, inception_a3_1x1, inception_a4_1x1_2, inception_a4_1x1</span></div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(35U, 35U, 384U), TensorShape(1U, 1U, 384U, 96U), TensorShape(96U), TensorShape(35U, 35U, 96U), PadStrideInfo(1, 1, 0, 0));</div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="comment">// inception_a1_3x3_reduce, inception_a1_3x3_2_reduce, inception_a2_3x3_reduce, inception_a2_3x3_2_reduce, inception_a3_3x3_reduce, inception_a3_3x3_2_reduce, inception_a4_3x3_reduce, inception_a4_3x3_2_reduce</span></div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(35U, 35U, 384U), TensorShape(1U, 1U, 384U, 64U), TensorShape(64U), TensorShape(35U, 35U, 64U), PadStrideInfo(1, 1, 0, 0));</div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="comment">// inception_a1_3x3, inception_a1_3x3_2, inception_a2_3x3, inception_a2_3x3_2, inception_a3_3x3, inception_a3_3x3_2, inception_a4_3x3, inception_a4_3x3_2</span></div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(35U, 35U, 64U), TensorShape(3U, 3U, 64U, 96U), TensorShape(96U), TensorShape(35U, 35U, 96U), PadStrideInfo(1, 1, 1, 1));</div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="comment">// inception_a1_3x3_3, inception_a2_3x3_3, inception_a3_3x3_3, inception_a4_3x3_3</span></div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(35U, 35U, 96U), TensorShape(3U, 3U, 96U, 96U), TensorShape(96U), TensorShape(35U, 35U, 96U), PadStrideInfo(1, 1, 1, 1));</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="comment">// reduction_a_3x3</span></div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(35U, 35U, 384U), TensorShape(3U, 3U, 384U, 384U), TensorShape(384U), TensorShape(17U, 17U, 384U), PadStrideInfo(2, 2, 0, 0));</div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="comment">// reduction_a_3x3_2_reduce</span></div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(35U, 35U, 384U), TensorShape(1U, 1U, 384U, 192U), TensorShape(192U), TensorShape(35U, 35U, 192U), PadStrideInfo(1, 1, 0, 0));</div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="comment">// reduction_a_3x3_2</span></div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(35U, 35U, 192U), TensorShape(3U, 3U, 192U, 224U), TensorShape(224U), TensorShape(35U, 35U, 224U), PadStrideInfo(1, 1, 1, 1));</div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="comment">// reduction_a_3x3_3</span></div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(35U, 35U, 224U), TensorShape(3U, 3U, 224U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(2, 2, 0, 0));</div> |
| <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="comment">// inception_b1_1x1_2, inception_b2_1x1_2, inception_b3_1x1_2, inception_b4_1x1_2, inception_b5_1x1_2, inception_b6_1x1_2, inception_b7_1x1_2</span></div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(17U, 17U, 1024U), TensorShape(1U, 1U, 1024U, 384U), TensorShape(384U), TensorShape(17U, 17U, 384U), PadStrideInfo(1, 1, 0, 0));</div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="comment">// inception_b1_1x7_reduce, inception_b1_7x1_2_reduce, inception_b2_1x7_reduce, inception_b2_7x1_2_reduce, inception_b3_1x7_reduce, inception_b3_7x1_2_reduce, inception_b4_1x7_reduce, inception_b4_7x1_2_reduce, inception_b5_1x7_reduce, inception_b5_7x1_2_reduce, inception_b6_1x7_reduce, inception_b6_7x1_2_reduce, inception_b7_1x7_reduce, inception_b7_7x1_2_reduce, reduction_b_3x3_reduce</span></div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(17U, 17U, 1024U), TensorShape(1U, 1U, 1024U, 192U), TensorShape(192U), TensorShape(17U, 17U, 192U), PadStrideInfo(1, 1, 0, 0));</div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="comment">// inception_b1_1x7, inception_b1_1x7_2, inception_b2_1x7, inception_b2_1x7_2, inception_b3_1x7, inception_b3_1x7_2, inception_b4_1x7, inception_b4_1x7_2, inception_b5_1x7, inception_b5_1x7_2, inception_b6_1x7, inception_b6_1x7_2, inception_b7_1x7, inception_b7_1x7_2</span></div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(17U, 17U, 192U), TensorShape(7U, 1U, 192U, 224U), TensorShape(224U), TensorShape(17U, 17U, 224U), PadStrideInfo(1, 1, 3, 0));</div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="comment">// inception_b1_7x1, inception_b2_7x1, inception_b3_7x1, inception_b4_7x1, inception_b5_7x1, inception_b6_7x1, inception_b7_7x1</span></div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(17U, 17U, 224U), TensorShape(1U, 7U, 224U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(1, 1, 0, 3));</div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="comment">// inception_b1_7x1_2, inception_b2_7x1_2, inception_b3_7x1_2, inception_b4_7x1_2, inception_b5_7x1_2, inception_b6_7x1_2, inception_b7_7x1_2</span></div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(17U, 17U, 192U), TensorShape(1U, 7U, 192U, 192U), TensorShape(192U), TensorShape(17U, 17U, 192U), PadStrideInfo(1, 1, 0, 3));</div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="comment">// inception_b1_7x1_3, inception_b2_7x1_3, inception_b3_7x1_3, inception_b4_7x1_3, inception_b5_7x1_3, inception_b6_7x1_3, inception_b7_7x1_3</span></div> |
| <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(17U, 17U, 224U), TensorShape(1U, 7U, 224U, 224U), TensorShape(224U), TensorShape(17U, 17U, 224U), PadStrideInfo(1, 1, 0, 3));</div> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="comment">// inception_b1_1x7_3, inception_b2_1x7_3, inception_b3_1x7_3, inception_b4_1x7_3, inception_b5_1x7_3, inception_b6_1x7_3, inception_b7_1x7_3</span></div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(17U, 17U, 224U), TensorShape(7U, 1U, 224U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(1, 1, 3, 0));</div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="comment">// inception_b1_1x1, inception_b2_1x1, inception_b3_1x1, inception_b4_1x1, inception_b5_1x1, inception_b6_1x1, inception_b7_1x1</span></div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(17U, 17U, 1024U), TensorShape(1U, 1U, 1024U, 128U), TensorShape(128U), TensorShape(17U, 17U, 128U), PadStrideInfo(1, 1, 0, 0));</div> |
| <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">// reduction_b_3x3</span></div> |
| <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(17U, 17U, 192U), TensorShape(3U, 3U, 192U, 192U), TensorShape(192U), TensorShape(8U, 8U, 192U), PadStrideInfo(2, 2, 0, 0));</div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// reduction_b_1x7_reduce</span></div> |
| <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(17U, 17U, 1024U), TensorShape(1U, 1U, 1024U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(1, 1, 0, 0));</div> |
| <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="comment">// reduction_b_1x7</span></div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(17U, 17U, 256U), TensorShape(7U, 1U, 256U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(1, 1, 3, 0));</div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="comment">// reduction_b_7x1</span></div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(17U, 17U, 256U), TensorShape(1U, 7U, 256U, 320U), TensorShape(320U), TensorShape(17U, 17U, 320U), PadStrideInfo(1, 1, 0, 3));</div> |
| <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="comment">// reduction_b_3x3_2</span></div> |
| <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(17U, 17U, 320U), TensorShape(3U, 3U, 320U, 320U), TensorShape(320U), TensorShape(8U, 8U, 320U), PadStrideInfo(2, 2, 0, 0));</div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="comment">// inception_c1_1x1_2, inception_c1_1x1, inception_c2_1x1_2, inception_c2_1x1, inception_c3_1x1_2, inception_c3_1x1</span></div> |
| <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(8U, 8U, 1536U), TensorShape(1U, 1U, 1536U, 256U), TensorShape(256U), TensorShape(8U, 8U, 256U), PadStrideInfo(1, 1, 0, 0));</div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="comment">// inception_c1_1x1_3, inception_c1_1x1_4, inception_c2_1x1_3, inception_c2_1x1_4, inception_c3_1x1_3, inception_c3_1x1_4</span></div> |
| <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(8U, 8U, 1536U), TensorShape(1U, 1U, 1536U, 384U), TensorShape(384U), TensorShape(8U, 8U, 384U), PadStrideInfo(1, 1, 0, 0));</div> |
| <div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="comment">// inception_c1_1x3, inception_c2_1x3, inception_c3_1x3</span></div> |
| <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(8U, 8U, 384U), TensorShape(3U, 1U, 384U, 256U), TensorShape(256U), TensorShape(8U, 8U, 256U), PadStrideInfo(1, 1, 1, 0));</div> |
| <div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="comment">// inception_c1_3x1, inception_c2_3x1, inception_c3_3x1</span></div> |
| <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(8U, 8U, 384U), TensorShape(1U, 3U, 384U, 256U), TensorShape(256U), TensorShape(8U, 8U, 256U), PadStrideInfo(1, 1, 0, 1));</div> |
| <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="comment">// inception_c1_3x1_2, inception_c2_3x1_2, inception_c3_3x1_2</span></div> |
| <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(8U, 8U, 384U), TensorShape(1U, 3U, 384U, 448U), TensorShape(448U), TensorShape(8U, 8U, 448U), PadStrideInfo(1, 1, 0, 1));</div> |
| <div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="comment">// inception_c1_1x3_2, inception_c2_1x3_2, inception_c3_1x3_2</span></div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(8U, 8U, 448U), TensorShape(3U, 1U, 448U, 512U), TensorShape(512U), TensorShape(8U, 8U, 512U), PadStrideInfo(1, 1, 1, 0));</div> |
| <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="comment">// inception_c1_1x3_3, inception_c2_1x3_3, inception_c3_1x3_3</span></div> |
| <div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(8U, 8U, 512U), TensorShape(3U, 1U, 512U, 256U), TensorShape(256U), TensorShape(8U, 8U, 256U), PadStrideInfo(1, 1, 1, 0));</div> |
| <div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="comment">// inception_c1_3x1_3, inception_c2_3x1_3, inception_c3_3x1_3</span></div> |
| <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">add_config</a>(TensorShape(8U, 8U, 512U), TensorShape(1U, 3U, 512U, 256U), TensorShape(256U), TensorShape(8U, 8U, 256U), PadStrideInfo(1, 1, 0, 1));</div> |
| <div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  }</div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset_xhtml_a3f1ddb8fe464be68a02cc1b81ee5e3e7"><div class="ttname"><a href="classarm__compute_1_1test_1_1datasets_1_1_convolution_layer_dataset.xhtml#a3f1ddb8fe464be68a02cc1b81ee5e3e7">arm_compute::test::datasets::ConvolutionLayerDataset::add_config</a></div><div class="ttdeci">void add_config(TensorShape src, TensorShape weights, TensorShape biases, TensorShape dst, PadStrideInfo info)</div><div class="ttdef"><b>Definition:</b> <a href="_convolution_layer_dataset_8h_source.xhtml#l00103">ConvolutionLayerDataset.h:103</a></div></div> |
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| <hr/>The documentation for this class was generated from the following file:<ul> |
| <li>tests/datasets/system_tests/googlenet/inceptionv4/<a class="el" href="_goog_le_net_inception_v4_convolution_layer_dataset_8h_source.xhtml">GoogLeNetInceptionV4ConvolutionLayerDataset.h</a></li> |
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