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<div class="title">DeconvolutionLayerFixture.h</div> </div>
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<a href="_deconvolution_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>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2017, 2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<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>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<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>&#160;<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>&#160;<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>&#160;<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>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<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>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<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>&#160;<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>&#160;<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>&#160;<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>&#160;<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>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_tensor_shape_8h.xhtml">arm_compute/core/TensorShape.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>&quot;</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_assets_library_8h.xhtml">tests/AssetsLibrary.h</a>&quot;</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_globals_8h.xhtml">tests/Globals.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_i_accessor_8h.xhtml">tests/IAccessor.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_asserts_8h.xhtml">tests/framework/Asserts.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_fixture_8h.xhtml">tests/framework/Fixture.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="tests_2validation_2_helpers_8h.xhtml">tests/validation/Helpers.h</a>&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_deconvolution_layer_8h.xhtml">tests/validation/reference/DeconvolutionLayer.h</a>&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="preprocessor">#include &lt;random&gt;</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;{</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="keyword">namespace </span>test</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;{</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="keyword">namespace </span>validation</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;{</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> TensorType, <span class="keyword">typename</span> AccessorType, <span class="keyword">typename</span> FunctionType, <span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_deconvolution_layer_fixture_base.xhtml"> 43</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1validation_1_1_deconvolution_layer_fixture_base.xhtml">DeconvolutionLayerFixtureBase</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="l00044"></a><span class="lineno"> 44</span>&#160;{</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keyword">template</span> &lt;<span class="keyword">typename</span>...&gt;</div><div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_deconvolution_layer_fixture_base.xhtml#a196c97bffd0543d9d79a897494a38bde"> 47</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1validation_1_1_deconvolution_layer_fixture_base.xhtml#a196c97bffd0543d9d79a897494a38bde">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> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">output_shape</a>, <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>,</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="keyword">const</span> std::pair&lt;unsigned int, unsigned int&gt; &amp;inner_border, <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="l00049"></a><span class="lineno"> 49</span>&#160; {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; _fractional_bits = fractional_bits;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; _data_type = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; _target = compute_target(input_shape, weights_shape, bias_shape, output_shape, info, inner_border, data_type, fractional_bits);</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; _reference = compute_reference(input_shape, weights_shape, bias_shape, output_shape, info, inner_border, data_type, fractional_bits);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; }</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;<span class="keyword">protected</span>:</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <span class="keyword">template</span> &lt;<span class="keyword">typename</span> U&gt;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <span class="keywordtype">void</span> fill(<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">U</a> &amp;&amp;tensor, <span class="keywordtype">int</span> i)</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; {</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="keywordflow">switch</span>(tensor.data_type())</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; {</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>:</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; {</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; std::uniform_real_distribution&lt;&gt; distribution(-1.0f, 1.0f);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>-&gt;fill(tensor, distribution, i);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; }</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="keywordflow">default</span>:</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>-&gt;fill_tensor_uniform(tensor, i);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; }</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; }</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; TensorType compute_target(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;input_shape, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;weights_shape, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;bias_shape, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">output_shape</a>,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>, <span class="keyword">const</span> std::pair&lt;unsigned int, unsigned int&gt; &amp;inner_border, <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="l00076"></a><span class="lineno"> 76</span>&#160; {</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="comment">// Create tensors</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; TensorType <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a> = create_tensor&lt;TensorType&gt;(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="l00079"></a><span class="lineno"> 79</span>&#160; TensorType weights = create_tensor&lt;TensorType&gt;(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="l00080"></a><span class="lineno"> 80</span>&#160; TensorType bias = create_tensor&lt;TensorType&gt;(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="l00081"></a><span class="lineno"> 81</span>&#160; TensorType <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a> = create_tensor&lt;TensorType&gt;(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">output_shape</a>, <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="l00082"></a><span class="lineno"> 82</span>&#160;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="comment">// Create and configure function</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; FunctionType <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adf88bb8e946175c496fb362aa458128b">conv</a>;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; conv.configure(&amp;src, &amp;weights, &amp;bias, &amp;dst, info, inner_border.first, inner_border.second);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(src.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(weights.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(bias.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(dst.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="comment">// Allocate tensors</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; src.allocator()-&gt;allocate();</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; weights.allocator()-&gt;allocate();</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; bias.allocator()-&gt;allocate();</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; dst.allocator()-&gt;allocate();</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(!src.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(!weights.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(!bias.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">ARM_COMPUTE_EXPECT</a>(!dst.info()-&gt;is_resizable(), <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#aca1fd1d8935433e6ba2e3918214e07f9a6f3a603fac4d817f1848c3173b243b57">framework::LogLevel::ERRORS</a>);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="comment">// Fill tensors</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; fill(AccessorType(src), 0);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; fill(AccessorType(weights), 1);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; fill(AccessorType(bias), 2);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <span class="comment">// Compute NEConvolutionLayer function</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; conv.run();</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; }</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> compute_reference(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;input_shape, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;weights_shape, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;bias_shape, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;output_shape,</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &amp;info, <span class="keyword">const</span> std::pair&lt;unsigned int, unsigned int&gt; inner_border, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type, <span class="keywordtype">int</span> fixed_point_position)</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; {</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <span class="comment">// Create reference</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>{ 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="l00119"></a><span class="lineno"> 119</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> 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="l00120"></a><span class="lineno"> 120</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> 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="l00121"></a><span class="lineno"> 121</span>&#160;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="comment">// Fill reference</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; fill(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, 0);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; fill(weights, 1);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; fill(bias, 2);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="keywordflow">return</span> reference::deconvolution_layer&lt;T&gt;(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, weights, bias, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">output_shape</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>, inner_border);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; }</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160;</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; TensorType _target{};</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> _reference{};</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="keywordtype">int</span> _fractional_bits{};</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> _data_type{};</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;};</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160;</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;<span class="keyword">template</span> &lt;<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">unsigned</span> <span class="keywordtype">int</span> kernel_size_x, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> kernel_size_y&gt;</div><div class="line"><a name="l00137"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_deconvolution_validation_fixture.xhtml"> 137</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1validation_1_1_deconvolution_validation_fixture.xhtml">DeconvolutionValidationFixture</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1validation_1_1_deconvolution_layer_fixture_base.xhtml">DeconvolutionLayerFixtureBase&lt;TensorType, AccessorType, FunctionType, T&gt;</a></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160;{</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <span class="keyword">template</span> &lt;<span class="keyword">typename</span>...&gt;</div><div class="line"><a name="l00141"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1validation_1_1_deconvolution_validation_fixture.xhtml#a1c31e11220bbefead6d95e69b0251369"> 141</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1test_1_1validation_1_1_deconvolution_validation_fixture.xhtml#a1c31e11220bbefead6d95e69b0251369">setup</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> input_shape, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> sx, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> sy, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> padx, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> pady,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inner_border_right, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inner_border_top, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_kernels, <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>)</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; {</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <a class="code" href="core_2_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(kernel_size_x != kernel_size_y, <span class="stringliteral">&quot;Only square kernels supported&quot;</span>);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> weights_shape(kernel_size_x, kernel_size_y, input_shape.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a336121cb63ed79fa0a072eed03d694ac">z</a>(), num_kernels);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> bias_shape(num_kernels);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>(sx, sy, padx, pady, <a class="code" href="namespacearm__compute.xhtml#a1fece1bd804e64f39f602d1c3969849aa5bdce8e6d9dc3efbbd31e90a8a181dff">DimensionRoundingType::CEIL</a>);</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="keyword">const</span> std::pair&lt;unsigned int, unsigned int&gt; inner_border(inner_border_right, inner_border_top);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <span class="keyword">auto</span> out_dim = <a class="code" href="namespacearm__compute.xhtml#a5c7b26988083a67a91cd3e7962f38521">deconvolution_output_dimensions</a>(input_shape.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#afb5cd37bb08f1029691590372e6330f0">x</a>(), input_shape.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a691c9cb93365c2e33f3429de43244098">y</a>(), kernel_size_x, kernel_size_y, padx, pady, inner_border.first, inner_border.second, sx, sy);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">output_shape</a> = <a class="code" href="namespacearm__compute.xhtml#a7d57332eb91a8735f173556b3caf6236">deconvolution_output_shape</a>(out_dim, input_shape, weights_shape);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <a class="code" href="classarm__compute_1_1test_1_1framework_1_1_fixture.xhtml#a4fc01d736fe50cf5b977f755b675f11d">DeconvolutionLayerFixtureBase&lt;TensorType, AccessorType, FunctionType, T&gt;::setup</a>(input_shape, weights_shape, bias_shape, output_shape, info, inner_border, data_type, 0);</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; }</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160;};</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160;} <span class="comment">// namespace validation</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160;} <span class="comment">// namespace arm_compute</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="namespacearm__compute_xhtml_a5c7b26988083a67a91cd3e7962f38521"><div class="ttname"><a href="namespacearm__compute.xhtml#a5c7b26988083a67a91cd3e7962f38521">arm_compute::deconvolution_output_dimensions</a></div><div class="ttdeci">const std::pair&lt; unsigned int, unsigned int &gt; deconvolution_output_dimensions(unsigned int in_width, unsigned int in_height, unsigned int kernel_width, unsigned int kernel_height, unsigned int padx, unsigned int pady, unsigned int inner_border_right, unsigned int inner_border_top, unsigned int stride_x, unsigned int stride_y)</div><div class="ttdoc">Returns expected width and height of the deconvolution&amp;#39;s output tensor. </div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a336121cb63ed79fa0a072eed03d694ac"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a336121cb63ed79fa0a072eed03d694ac">arm_compute::Dimensions::z</a></div><div class="ttdeci">T z() const </div><div class="ttdoc">Alias to access the size of the third dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00091">Dimensions.h:91</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="namespacearm__compute_xhtml_a7d57332eb91a8735f173556b3caf6236"><div class="ttname"><a href="namespacearm__compute.xhtml#a7d57332eb91a8735f173556b3caf6236">arm_compute::deconvolution_output_shape</a></div><div class="ttdeci">TensorShape deconvolution_output_shape(const std::pair&lt; unsigned int, unsigned int &gt; &amp;out_dims, TensorShape input, TensorShape weights)</div><div class="ttdoc">Returns expected shape for the deconvolution output tensor. </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a1fece1bd804e64f39f602d1c3969849aa5bdce8e6d9dc3efbbd31e90a8a181dff"><div class="ttname"><a href="namespacearm__compute.xhtml#a1fece1bd804e64f39f602d1c3969849aa5bdce8e6d9dc3efbbd31e90a8a181dff">arm_compute::DimensionRoundingType::CEIL</a></div><div class="ttdoc">Ceil rounding. </div></div>
<div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel </div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adf88bb8e946175c496fb362aa458128b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adf88bb8e946175c496fb362aa458128b">arm_compute::test::validation::conv</a></div><div class="ttdeci">int16_t conv[25]</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00140">Convolution.cpp:140</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_a096668313a9a819d54a2e65ec21ff0cc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">arm_compute::test::validation::info</a></div><div class="ttdeci">src info() -&gt; set_format(Format::S16)</div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_deconvolution_validation_fixture_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_deconvolution_validation_fixture.xhtml">arm_compute::test::validation::DeconvolutionValidationFixture</a></div><div class="ttdef"><b>Definition:</b> <a href="_deconvolution_layer_fixture_8h_source.xhtml#l00137">DeconvolutionLayerFixture.h:137</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_deconvolution_validation_fixture_xhtml_a1c31e11220bbefead6d95e69b0251369"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_deconvolution_validation_fixture.xhtml#a1c31e11220bbefead6d95e69b0251369">arm_compute::test::validation::DeconvolutionValidationFixture::setup</a></div><div class="ttdeci">void setup(TensorShape input_shape, unsigned int sx, unsigned int sy, unsigned int padx, unsigned int pady, unsigned int inner_border_right, unsigned int inner_border_top, unsigned int num_kernels, DataType data_type)</div><div class="ttdef"><b>Definition:</b> <a href="_deconvolution_layer_fixture_8h_source.xhtml#l00141">DeconvolutionLayerFixture.h:141</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_deconvolution_layer_fixture_base_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_deconvolution_layer_fixture_base.xhtml">arm_compute::test::validation::DeconvolutionLayerFixtureBase</a></div><div class="ttdef"><b>Definition:</b> <a href="_deconvolution_layer_fixture_8h_source.xhtml#l00043">DeconvolutionLayerFixture.h:43</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_afb5cd37bb08f1029691590372e6330f0"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#afb5cd37bb08f1029691590372e6330f0">arm_compute::Dimensions::x</a></div><div class="ttdeci">T x() const </div><div class="ttdoc">Alias to access the size of the first dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00081">Dimensions.h:81</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="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="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00116">GEMM.cpp:116</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="_deconvolution_layer_8h_xhtml"><div class="ttname"><a href="_deconvolution_layer_8h.xhtml">DeconvolutionLayer.h</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&lt; AssetsLibrary &gt; library</div><div class="ttdef"><b>Definition:</b> <a href="main_8cpp_source.xhtml#l00059">main.cpp:59</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb"><div class="ttname"><a href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">arm_compute::Channel::U</a></div><div class="ttdoc">Cb/U channel. </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="namespacearm__compute_1_1test_1_1validation_xhtml_a7fc93f37dac131a1a40b7921f9df3a9a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">arm_compute::test::validation::output_shape</a></div><div class="ttdeci">output_shape</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00115">GEMM.cpp:115</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="classarm__compute_1_1_pad_stride_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml">arm_compute::PadStrideInfo</a></div><div class="ttdoc">Padding and stride information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00491">Types.h:491</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_convolution_8cpp_source.xhtml#l00137">Convolution.cpp:137</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">arm_compute::test::SimpleTensor</a></div><div class="ttdoc">Simple tensor object that stores elements in a consecutive chunk of memory. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00059">SimpleTensor.h:59</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a691c9cb93365c2e33f3429de43244098"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a691c9cb93365c2e33f3429de43244098">arm_compute::Dimensions::y</a></div><div class="ttdeci">T y() const </div><div class="ttdoc">Alias to access the size of the second dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00086">Dimensions.h:86</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_af3c1de77fd86df539395c75c17ec230e"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#af3c1de77fd86df539395c75c17ec230e">arm_compute::test::validation::ARM_COMPUTE_EXPECT</a></div><div class="ttdeci">ARM_COMPUTE_EXPECT(src.info() -&gt;is_resizable(), framework::LogLevel::ERRORS)</div></div>
<div class="ttc" id="core_2_error_8h_xhtml_a5bbdcf574d3f5e412fa6a1117911e67b"><div class="ttname"><a href="core_2_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MSG(cond,...)</div><div class="ttdef"><b>Definition:</b> <a href="core_2_error_8h_source.xhtml#l00297">Error.h:297</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="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#l00072">Types.h:72</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure &amp; src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00147">Convolution.cpp:147</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1validation_1_1_deconvolution_layer_fixture_base_xhtml_a196c97bffd0543d9d79a897494a38bde"><div class="ttname"><a href="classarm__compute_1_1test_1_1validation_1_1_deconvolution_layer_fixture_base.xhtml#a196c97bffd0543d9d79a897494a38bde">arm_compute::test::validation::DeconvolutionLayerFixtureBase::setup</a></div><div class="ttdeci">void setup(TensorShape input_shape, TensorShape weights_shape, TensorShape bias_shape, TensorShape output_shape, PadStrideInfo info, const std::pair&lt; unsigned int, unsigned int &gt; &amp;inner_border, DataType data_type, int fractional_bits)</div><div class="ttdef"><b>Definition:</b> <a href="_deconvolution_layer_fixture_8h_source.xhtml#l00047">DeconvolutionLayerFixture.h:47</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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