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| <div class="title">FullyConnectedLayerFixture.h</div> </div> |
| </div><!--header--> |
| <div class="contents"> |
| <a href="validation_2fixtures_2_fully_connected_layer_fixture_8h.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) 2017 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">#ifndef ARM_COMPUTE_TEST_FULLY_CONNECTED_LAYER_FIXTURE</span></div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor"></span><span class="preprocessor">#define ARM_COMPUTE_TEST_FULLY_CONNECTED_LAYER_FIXTURE</span></div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor"></span></div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_tensor_shape_8h.xhtml">arm_compute/core/TensorShape.h</a>"</span></div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>"</span></div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</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="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="_assets_library_8h.xhtml">tests/AssetsLibrary.h</a>"</span></div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="_globals_8h.xhtml">tests/Globals.h</a>"</span></div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="_i_accessor_8h.xhtml">tests/IAccessor.h</a>"</span></div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="_raw_tensor_8h.xhtml">tests/RawTensor.h</a>"</span></div> |
| <div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="_asserts_8h.xhtml">tests/framework/Asserts.h</a>"</span></div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="_fixture_8h.xhtml">tests/framework/Fixture.h</a>"</span></div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "<a class="code" href="tests_2validation_2_c_p_p_2_fully_connected_layer_8h.xhtml">tests/validation/CPP/FullyConnectedLayer.h</a>"</span></div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include "<a class="code" href="tests_2validation_2_c_p_p_2_utils_8h.xhtml">tests/validation/CPP/Utils.h</a>"</span></div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include "<a class="code" href="tests_2validation_2_helpers_8h.xhtml">tests/validation/Helpers.h</a>"</span></div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor">#include <random></span></div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">namespace </span>arm_compute</div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="keyword">namespace </span>test</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="keyword">namespace </span>validation</div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span> {</div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="keyword">template</span> <<span class="keyword">typename</span> TensorType, <span class="keyword">typename</span> AccessorType, <span class="keyword">typename</span> FunctionType, <span class="keyword">typename</span> T, <span class="keywordtype">bool</span> run_<span class="keywordtype">int</span>erleave></div> |
| <div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_fully_connected_layer_validation_fixed_point_fixture.xhtml"> 49</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1validation_1_1_fully_connected_layer_validation_fixed_point_fixture.xhtml">FullyConnectedLayerValidationFixedPointFixture</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml">framework::Fixture</a></div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span> {</div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="keyword">public</span>:</div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">template</span> <<span class="keyword">typename</span>...></div> |
| <div class="line"><a name="l00053"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_fully_connected_layer_validation_fixed_point_fixture.xhtml#a9cf85fdf748668d730a30e60a77e80ff"> 53</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1validation_1_1_fully_connected_layer_validation_fixed_point_fixture.xhtml#a9cf85fdf748668d730a30e60a77e80ff">setup</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> input_shape, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> weights_shape, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> bias_shape, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> output_shape, <span class="keywordtype">bool</span> transpose_weights, <span class="keywordtype">bool</span> reshape_weights, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, <span class="keywordtype">int</span> fractional_bits)</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>  <a class="code" href="_error_8h.xhtml#a4103adbb45806b2f2002d44b91d0d206">ARM_COMPUTE_UNUSED</a>(weights_shape);</div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="_error_8h.xhtml#a4103adbb45806b2f2002d44b91d0d206">ARM_COMPUTE_UNUSED</a>(bias_shape);</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>  _fractional_bits = fractional_bits;</div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  _data_type = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</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>  _target = compute_target(input_shape, weights_shape, bias_shape, output_shape, transpose_weights, reshape_weights, data_type, fractional_bits);</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  _reference = compute_reference(input_shape, weights_shape, bias_shape, output_shape, transpose_weights, reshape_weights, data_type, fractional_bits);</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> </div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="keyword">protected</span>:</div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> U></div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordtype">void</span> fill(U &&tensor, <span class="keywordtype">int</span> i)</div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  {</div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute.xhtml#af5982a092e9eb743fce2d6392bdd8897">is_data_type_float</a>(_data_type))</div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  {</div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  std::uniform_real_distribution<> distribution(0.5f, 1.f);</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>->fill(tensor, distribution, i);</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  }</div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  {</div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>->fill_tensor_uniform(tensor, i);</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>  }</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>  TensorType compute_target(<span class="keyword">const</span> TensorShape &input_shape, <span class="keyword">const</span> TensorShape &weights_shape, <span class="keyword">const</span> TensorShape &bias_shape, <span class="keyword">const</span> TensorShape &output_shape, <span class="keywordtype">bool</span> transpose_weights,</div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordtype">bool</span> reshape_weights, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, <span class="keywordtype">int</span> fixed_point_position)</div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  {</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  TensorShape reshaped_weights_shape(weights_shape);</div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="comment">// Test actions depending on the target settings</span></div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="comment">//</span></div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="comment">// | reshape | !reshape</span></div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="comment">// -----------+-----------+---------------------------</span></div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="comment">// transpose | | ***</span></div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="comment">// -----------+-----------+---------------------------</span></div> |
| <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="comment">// !transpose | transpose | transpose &</span></div> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="comment">// | | transpose1xW (if required)</span></div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="comment">//</span></div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="comment">// ***: That combination is invalid. But we can ignore the transpose flag and handle all !reshape the same</span></div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">if</span>(!reshape_weights || !transpose_weights)</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="keyword">const</span> <span class="keywordtype">size_t</span> shape_x = reshaped_weights_shape.x();</div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  reshaped_weights_shape.set(0, reshaped_weights_shape.y());</div> |
| <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  reshaped_weights_shape.set(1, shape_x);</div> |
| <div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="comment">// Weights have to be passed reshaped</span></div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="comment">// Transpose 1xW for batched version</span></div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">if</span>(!reshape_weights && output_shape.y() > 1 && run_interleave)</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="keyword">const</span> <span class="keywordtype">int</span> transpose_width = 16 / <a class="code" href="namespacearm__compute.xhtml#abb7e0f23a4f2e63f39433f158dad47ab">data_size_from_type</a>(data_type);</div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> shape_x = reshaped_weights_shape.x();</div> |
| <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  reshaped_weights_shape.set(0, reshaped_weights_shape.y() * transpose_width);</div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  reshaped_weights_shape.set(1, static_cast<unsigned int>(std::ceil(shape_x / transpose_width)));</div> |
| <div class="line"><a name="l00109"></a><span class="lineno"> 109</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> </div> |
| <div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="comment">// Create tensors</span></div> |
| <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  TensorType src = create_tensor<TensorType>(input_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div> |
| <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  TensorType weights = create_tensor<TensorType>(reshaped_weights_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div> |
| <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  TensorType bias = create_tensor<TensorType>(bias_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div> |
| <div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  TensorType dst = create_tensor<TensorType>(output_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position);</div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div> |
| <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="comment">// Create and configure function.</span></div> |
| <div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  FunctionType fc;</div> |
| <div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  fc.configure(&src, &weights, &bias, &dst, transpose_weights, !reshape_weights);</div> |
| <div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div> |
| <div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="_asserts_8h.xhtml#adc60af942e951dc93e22b97b41809b51">ARM_COMPUTE_EXPECT</a>(src.info()->is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div> |
| <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="_asserts_8h.xhtml#adc60af942e951dc93e22b97b41809b51">ARM_COMPUTE_EXPECT</a>(weights.info()->is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div> |
| <div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <a class="code" href="_asserts_8h.xhtml#adc60af942e951dc93e22b97b41809b51">ARM_COMPUTE_EXPECT</a>(bias.info()->is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div> |
| <div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <a class="code" href="_asserts_8h.xhtml#adc60af942e951dc93e22b97b41809b51">ARM_COMPUTE_EXPECT</a>(dst.info()->is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div> |
| <div class="line"><a name="l00126"></a><span class="lineno"> 126</span> </div> |
| <div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="comment">// Allocate tensors</span></div> |
| <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  src.allocator()->allocate();</div> |
| <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  weights.allocator()->allocate();</div> |
| <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  bias.allocator()->allocate();</div> |
| <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  dst.allocator()->allocate();</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="_asserts_8h.xhtml#adc60af942e951dc93e22b97b41809b51">ARM_COMPUTE_EXPECT</a>(!src.info()->is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div> |
| <div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="_asserts_8h.xhtml#adc60af942e951dc93e22b97b41809b51">ARM_COMPUTE_EXPECT</a>(!weights.info()->is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div> |
| <div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <a class="code" href="_asserts_8h.xhtml#adc60af942e951dc93e22b97b41809b51">ARM_COMPUTE_EXPECT</a>(!bias.info()->is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div> |
| <div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="_asserts_8h.xhtml#adc60af942e951dc93e22b97b41809b51">ARM_COMPUTE_EXPECT</a>(!dst.info()->is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div> |
| <div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div> |
| <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="comment">// Fill tensors</span></div> |
| <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  fill(AccessorType(src), 0);</div> |
| <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  fill(AccessorType(bias), 2);</div> |
| <div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div> |
| <div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordflow">if</span>(!reshape_weights || !transpose_weights)</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>  TensorShape tmp_shape(weights_shape);</div> |
| <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  RawTensor tmp(tmp_shape, data_type, 1, fixed_point_position);</div> |
| <div class="line"><a name="l00146"></a><span class="lineno"> 146</span> </div> |
| <div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="comment">// Fill with original shape</span></div> |
| <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  fill(tmp, 1);</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>  <span class="comment">// Transpose elementwise</span></div> |
| <div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  tmp = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3bb27cb73ac0ecd83cbb28d01b5edc2c">transpose</a>(tmp);</div> |
| <div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div> |
| <div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="comment">// Reshape weights for batched runs</span></div> |
| <div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">if</span>(!reshape_weights && output_shape.y() > 1 && run_interleave)</div> |
| <div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  {</div> |
| <div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="comment">// Transpose with interleave</span></div> |
| <div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> interleave_size = 16 / tmp.element_size();</div> |
| <div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  tmp = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3bb27cb73ac0ecd83cbb28d01b5edc2c">transpose</a>(tmp, interleave_size);</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> </div> |
| <div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  AccessorType weights_accessor(weights);</div> |
| <div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div> |
| <div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i < tmp.num_elements(); ++i)</div> |
| <div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  {</div> |
| <div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  Coordinates coord = <a class="code" href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">index2coord</a>(tmp.shape(), i);</div> |
| <div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  std::copy_n(static_cast<const RawTensor::value_type *>(tmp(coord)),</div> |
| <div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  tmp.element_size(),</div> |
| <div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keyword">static_cast<</span><a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#afb9ded5f49336ae503bb9f2035ea902b">RawTensor::value_type</a> *<span class="keyword">></span>(weights_accessor(coord)));</div> |
| <div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  }</div> |
| <div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  }</div> |
| <div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keywordflow">else</span></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>  fill(AccessorType(weights), 1);</div> |
| <div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  }</div> |
| <div class="line"><a name="l00175"></a><span class="lineno"> 175</span> </div> |
| <div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="comment">// Compute NEFullyConnectedLayer function</span></div> |
| <div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  fc.run();</div> |
| <div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div> |
| <div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keywordflow">return</span> dst;</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> </div> |
| <div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  SimpleTensor<T> compute_reference(<span class="keyword">const</span> TensorShape &input_shape, <span class="keyword">const</span> TensorShape &weights_shape, <span class="keyword">const</span> TensorShape &bias_shape, <span class="keyword">const</span> TensorShape &output_shape, <span class="keywordtype">bool</span> transpose_weights,</div> |
| <div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keywordtype">bool</span> reshape_weights, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type, <span class="keywordtype">int</span> fixed_point_position = 0)</div> |
| <div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  {</div> |
| <div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="comment">// Create reference</span></div> |
| <div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  SimpleTensor<T> src{ input_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position };</div> |
| <div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  SimpleTensor<T> weights{ weights_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position };</div> |
| <div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  SimpleTensor<T> bias{ bias_shape, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, 1, fixed_point_position };</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>  <span class="comment">// Fill reference</span></div> |
| <div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  fill(src, 0);</div> |
| <div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  fill(weights, 1);</div> |
| <div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  fill(bias, 2);</div> |
| <div class="line"><a name="l00194"></a><span class="lineno"> 194</span> </div> |
| <div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordflow">return</span> reference::fully_connected_layer<T>(src, weights, bias, output_shape);</div> |
| <div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  }</div> |
| <div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div> |
| <div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  TensorType _target{};</div> |
| <div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  SimpleTensor<T> _reference{};</div> |
| <div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordtype">int</span> _fractional_bits{};</div> |
| <div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> _data_type{};</div> |
| <div class="line"><a name="l00202"></a><span class="lineno"> 202</span> };</div> |
| <div class="line"><a name="l00203"></a><span class="lineno"> 203</span> </div> |
| <div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="keyword">template</span> <<span class="keyword">typename</span> TensorType, <span class="keyword">typename</span> AccessorType, <span class="keyword">typename</span> FunctionType, <span class="keyword">typename</span> T, <span class="keywordtype">bool</span> run_<span class="keywordtype">int</span>erleave></div> |
| <div class="line"><a name="l00205"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_fully_connected_layer_validation_fixture.xhtml"> 205</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1validation_1_1_fully_connected_layer_validation_fixture.xhtml">FullyConnectedLayerValidationFixture</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1validation_1_1_fully_connected_layer_validation_fixed_point_fixture.xhtml">FullyConnectedLayerValidationFixedPointFixture</a><TensorType, AccessorType, FunctionType, T, run_interleave></div> |
| <div class="line"><a name="l00206"></a><span class="lineno"> 206</span> {</div> |
| <div class="line"><a name="l00207"></a><span class="lineno"> 207</span> <span class="keyword">public</span>:</div> |
| <div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="keyword">template</span> <<span class="keyword">typename</span>...></div> |
| <div class="line"><a name="l00209"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_fully_connected_layer_validation_fixture.xhtml#a76ed145b5e59fffbf17a6165423f9c3c"> 209</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1validation_1_1_fully_connected_layer_validation_fixture.xhtml#a76ed145b5e59fffbf17a6165423f9c3c">setup</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> input_shape, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> weights_shape, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> bias_shape, <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> output_shape, <span class="keywordtype">bool</span> transpose_weights, <span class="keywordtype">bool</span> reshape_weights, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type)</div> |
| <div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  {</div> |
| <div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <a class="code" href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml#a4fc01d736fe50cf5b977f755b675f11d">FullyConnectedLayerValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T, run_interleave>::setup</a>(input_shape, weights_shape, bias_shape, output_shape, transpose_weights,</div> |
| <div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  reshape_weights, data_type,</div> |
| <div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  0);</div> |
| <div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  }</div> |
| <div class="line"><a name="l00215"></a><span class="lineno"> 215</span> };</div> |
| <div class="line"><a name="l00216"></a><span class="lineno"> 216</span> } <span class="comment">// namespace validation</span></div> |
| <div class="line"><a name="l00217"></a><span class="lineno"> 217</span> } <span class="comment">// namespace test</span></div> |
| <div class="line"><a name="l00218"></a><span class="lineno"> 218</span> } <span class="comment">// namespace arm_compute</span></div> |
| <div class="line"><a name="l00219"></a><span class="lineno"> 219</span> <span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_TEST_FULLY_CONNECTED_LAYER_FIXTURE */</span><span class="preprocessor"></span></div> |
| <div class="ttc" id="_i_accessor_8h_xhtml"><div class="ttname"><a href="_i_accessor_8h.xhtml">IAccessor.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_fully_connected_layer_validation_fixed_point_fixture_xhtml_a9cf85fdf748668d730a30e60a77e80ff"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_fully_connected_layer_validation_fixed_point_fixture.xhtml#a9cf85fdf748668d730a30e60a77e80ff">arm_compute::test::validation::FullyConnectedLayerValidationFixedPointFixture::setup</a></div><div class="ttdeci">void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, bool transpose_weights, bool reshape_weights, DataType data_type, int fractional_bits)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2fixtures_2_fully_connected_layer_fixture_8h_source.xhtml#l00053">FullyConnectedLayerFixture.h:53</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_fully_connected_layer_validation_fixed_point_fixture_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_fully_connected_layer_validation_fixed_point_fixture.xhtml">arm_compute::test::validation::FullyConnectedLayerValidationFixedPointFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="validation_2fixtures_2_fully_connected_layer_fixture_8h_source.xhtml#l00049">FullyConnectedLayerFixture.h:49</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#l00038">TensorShape.h:38</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a4103adbb45806b2f2002d44b91d0d206"><div class="ttname"><a href="_error_8h.xhtml#a4103adbb45806b2f2002d44b91d0d206">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(var)</div><div class="ttdoc">To avoid unused variables warnings. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00049">Error.h:49</a></div></div> |
| <div class="ttc" id="tests_2validation_2_helpers_8h_xhtml"><div class="ttname"><a href="tests_2validation_2_helpers_8h.xhtml">Helpers.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a3bb27cb73ac0ecd83cbb28d01b5edc2c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3bb27cb73ac0ecd83cbb28d01b5edc2c">arm_compute::test::validation::transpose</a></div><div class="ttdeci">RawTensor transpose(const RawTensor &src, int chunk_width)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_c_p_p_2_utils_8cpp_source.xhtml#l00069">Utils.cpp:69</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1framework_1_1_fixture_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml">arm_compute::test::framework::Fixture</a></div><div class="ttdoc">Abstract fixture class. </div><div class="ttdef"><b>Definition:</b> <a href="_fixture_8h_source.xhtml#l00037">Fixture.h:37</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="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ad7f431e3446fddcd9b6b9f93c4c14"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_min_max_location_8cpp_source.xhtml#l00090">MinMaxLocation.cpp:90</a></div></div> |
| <div class="ttc" id="_globals_8h_xhtml"><div class="ttname"><a href="_globals_8h.xhtml">Globals.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_fully_connected_layer_validation_fixture_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_fully_connected_layer_validation_fixture.xhtml">arm_compute::test::validation::FullyConnectedLayerValidationFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="validation_2fixtures_2_fully_connected_layer_fixture_8h_source.xhtml#l00205">FullyConnectedLayerFixture.h:205</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_xhtml_a71326f0909d77386e29b511e1990a11f"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">arm_compute::test::library</a></div><div class="ttdeci">std::unique_ptr< AssetsLibrary > library</div><div class="ttdef"><b>Definition:</b> <a href="main_8cpp_source.xhtml#l00054">main.cpp:54</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1framework_1_1_fixture_xhtml_a4fc01d736fe50cf5b977f755b675f11d"><div class="ttname"><a href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml#a4fc01d736fe50cf5b977f755b675f11d">arm_compute::test::framework::Fixture::setup</a></div><div class="ttdeci">void setup()</div><div class="ttdoc">Setup function. </div><div class="ttdef"><b>Definition:</b> <a href="_fixture_8h_source.xhtml#l00048">Fixture.h:48</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_afb9ded5f49336ae503bb9f2035ea902b"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#afb9ded5f49336ae503bb9f2035ea902b">arm_compute::test::SimpleTensor< uint8_t >::value_type</a></div><div class="ttdeci">uint8_t value_type</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00096">SimpleTensor.h:96</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_abb7e0f23a4f2e63f39433f158dad47ab"><div class="ttname"><a href="namespacearm__compute.xhtml#abb7e0f23a4f2e63f39433f158dad47ab">arm_compute::data_size_from_type</a></div><div class="ttdeci">size_t data_size_from_type(DataType data_type)</div><div class="ttdoc">The size in bytes of the data type. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l00087">Utils.h:87</a></div></div> |
| <div class="ttc" id="_assets_library_8h_xhtml"><div class="ttname"><a href="_assets_library_8h.xhtml">AssetsLibrary.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_xhtml_a24d8c0391cfa38e78969b6ad97c0ff09"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">arm_compute::test::index2coord</a></div><div class="ttdeci">Coordinates index2coord(const TensorShape &shape, int index)</div><div class="ttdoc">Convert a linear index into n-dimensional coordinates. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00308">Utils.h:308</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_fully_connected_layer_validation_fixture_xhtml_a76ed145b5e59fffbf17a6165423f9c3c"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_fully_connected_layer_validation_fixture.xhtml#a76ed145b5e59fffbf17a6165423f9c3c">arm_compute::test::validation::FullyConnectedLayerValidationFixture::setup</a></div><div class="ttdeci">void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, bool transpose_weights, bool reshape_weights, DataType data_type)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2fixtures_2_fully_connected_layer_fixture_8h_source.xhtml#l00209">FullyConnectedLayerFixture.h:209</a></div></div> |
| <div class="ttc" id="tests_2validation_2_c_p_p_2_utils_8h_xhtml"><div class="ttname"><a href="tests_2validation_2_c_p_p_2_utils_8h.xhtml">Utils.h</a></div></div> |
| <div class="ttc" id="tests_2validation_2_c_p_p_2_fully_connected_layer_8h_xhtml"><div class="ttname"><a href="tests_2validation_2_c_p_p_2_fully_connected_layer_8h.xhtml">FullyConnectedLayer.h</a></div></div> |
| <div class="ttc" id="_asserts_8h_xhtml_adc60af942e951dc93e22b97b41809b51"><div class="ttname"><a href="_asserts_8h.xhtml#adc60af942e951dc93e22b97b41809b51">ARM_COMPUTE_EXPECT</a></div><div class="ttdeci">#define ARM_COMPUTE_EXPECT(X, LEVEL)</div><div class="ttdef"><b>Definition:</b> <a href="_asserts_8h_source.xhtml#l00124">Asserts.h:124</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">arm_compute::test::framework::LogLevel::ERRORS</a></div></div> |
| <div class="ttc" id="_raw_tensor_8h_xhtml"><div class="ttname"><a href="_raw_tensor_8h.xhtml">RawTensor.h</a></div></div> |
| <div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00064">Types.h:64</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_af5982a092e9eb743fce2d6392bdd8897"><div class="ttname"><a href="namespacearm__compute.xhtml#af5982a092e9eb743fce2d6392bdd8897">arm_compute::is_data_type_float</a></div><div class="ttdeci">bool is_data_type_float(DataType dt)</div><div class="ttdoc">Check if a given data type is of floating point type. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l00633">Utils.h:633</a></div></div> |
| <div class="ttc" id="_tensor_shape_8h_xhtml"><div class="ttname"><a href="_tensor_shape_8h.xhtml">TensorShape.h</a></div></div> |
| <div class="ttc" id="_asserts_8h_xhtml"><div class="ttname"><a href="_asserts_8h.xhtml">Asserts.h</a></div></div> |
| <div class="ttc" id="_fixture_8h_xhtml"><div class="ttname"><a href="_fixture_8h.xhtml">Fixture.h</a></div></div> |
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