arm_compute v18.01
Change-Id: I9bfa178c2e38bfd5fc812e62aab6760d87748e05
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<div id="projectname">Compute Library
-  <span id="projectnumber">17.12</span>
+  <span id="projectnumber">18.01</span>
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<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
Functions</h2></td></tr>
-<tr class="memitem:a97e46b1270a50083320d33dee4bcc8ac"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="cl__sgemm_8cpp.xhtml#a97e46b1270a50083320d33dee4bcc8ac">main_cl_sgemm</a> (int argc, const char **argv)</td></tr>
-<tr class="separator:a97e46b1270a50083320d33dee4bcc8ac"><td class="memSeparator" colspan="2"> </td></tr>
-<tr class="memitem:a217dbf8b442f20279ea00b898af96f52"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="cl__sgemm_8cpp.xhtml#a217dbf8b442f20279ea00b898af96f52">main</a> (int argc, const char **argv)</td></tr>
-<tr class="memdesc:a217dbf8b442f20279ea00b898af96f52"><td class="mdescLeft"> </td><td class="mdescRight">Main program for sgemm test. <a href="#a217dbf8b442f20279ea00b898af96f52">More...</a><br /></td></tr>
-<tr class="separator:a217dbf8b442f20279ea00b898af96f52"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a3c04138a5bfe5d72780bb7e82a18e627"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="cl__sgemm_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627">main</a> (int argc, char **argv)</td></tr>
+<tr class="memdesc:a3c04138a5bfe5d72780bb7e82a18e627"><td class="mdescLeft"> </td><td class="mdescRight">Main program for sgemm test. <a href="#a3c04138a5bfe5d72780bb7e82a18e627">More...</a><br /></td></tr>
+<tr class="separator:a3c04138a5bfe5d72780bb7e82a18e627"><td class="memSeparator" colspan="2"> </td></tr>
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<h2 class="groupheader">Function Documentation</h2>
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<td class="paramkey"></td>
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- <td class="paramtype">const char ** </td>
+ <td class="paramtype">char ** </td>
<td class="paramname"><em>argv</em> </td>
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</dd>
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-<p>Definition at line <a class="el" href="cl__sgemm_8cpp_source.xhtml#l00213">213</a> of file <a class="el" href="cl__sgemm_8cpp_source.xhtml">cl_sgemm.cpp</a>.</p>
-
-<p>References <a class="el" href="cl__sgemm_8cpp_source.xhtml#l00039">main_cl_sgemm()</a>, and <a class="el" href="utils_2_utils_8cpp_source.xhtml#l00069">arm_compute::utils::run_example()</a>.</p>
-<div class="fragment"><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>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1utils.xhtml#a4c9395db2c8b8d0c336656a7b58fca3e">utils::run_example</a>(argc, argv, <a class="code" href="cl__sgemm_8cpp.xhtml#a97e46b1270a50083320d33dee4bcc8ac">main_cl_sgemm</a>);</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> }</div><div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a4c9395db2c8b8d0c336656a7b58fca3e"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a4c9395db2c8b8d0c336656a7b58fca3e">arm_compute::utils::run_example</a></div><div class="ttdeci">int run_example(int argc, const char **argv, example &func)</div><div class="ttdoc">Run an example and handle the potential exceptions it throws. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8cpp_source.xhtml#l00069">Utils.cpp:69</a></div></div>
-<div class="ttc" id="cl__sgemm_8cpp_xhtml_a97e46b1270a50083320d33dee4bcc8ac"><div class="ttname"><a href="cl__sgemm_8cpp.xhtml#a97e46b1270a50083320d33dee4bcc8ac">main_cl_sgemm</a></div><div class="ttdeci">void main_cl_sgemm(int argc, const char **argv)</div><div class="ttdef"><b>Definition:</b> <a href="cl__sgemm_8cpp_source.xhtml#l00039">cl_sgemm.cpp:39</a></div></div>
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- <td class="memname">void main_cl_sgemm </td>
- <td>(</td>
- <td class="paramtype">int </td>
- <td class="paramname"><em>argc</em>, </td>
- </tr>
- <tr>
- <td class="paramkey"></td>
- <td></td>
- <td class="paramtype">const char ** </td>
- <td class="paramname"><em>argv</em> </td>
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- <td>)</td>
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-<p>Definition at line <a class="el" href="cl__sgemm_8cpp_source.xhtml#l00039">39</a> of file <a class="el" href="cl__sgemm_8cpp_source.xhtml">cl_sgemm.cpp</a>.</p>
-
-<p>References <a class="el" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">ITensorAllocator::allocate()</a>, <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">CLTensor::allocator()</a>, <a class="el" href="validation_2_n_e_o_n_2_g_e_m_m_8cpp_source.xhtml#l00109">arm_compute::test::validation::alpha</a>, <a class="el" href="validation_2_n_e_o_n_2_g_e_m_m_8cpp_source.xhtml#l00109">arm_compute::test::validation::beta</a>, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#a48b9e5c0bdc8a7c306252dafff14741f">CLGEMM::configure()</a>, <a class="el" href="_c_l_scheduler_8h_source.xhtml#l00083">CLScheduler::default_init()</a>, <a class="el" href="validation_2_n_e_o_n_2_g_e_m_m_8cpp_source.xhtml#l00118">arm_compute::test::validation::dst</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::F32</a>, <a class="el" href="utils_2_utils_8h_source.xhtml#l00839">arm_compute::utils::fill_random_tensor()</a>, <a class="el" href="utils_2_utils_8h_source.xhtml#l00545">NPYLoader::fill_tensor()</a>, <a class="el" href="classarm__compute_1_1_c_l_scheduler.xhtml#a60f9a6836b628a7171914c4afe43b4a7">CLScheduler::get()</a>, <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">CLTensor::info()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa72161e0e3c0f6b2da20f835de6af680">ITensorAllocator::init()</a>, <a class="el" href="utils_2_utils_8h_source.xhtml#l00878">arm_compute::utils::init_sgemm_output()</a>, <a class="el" href="utils_2_utils_8h_source.xhtml#l00521">NPYLoader::init_tensor()</a>, <a class="el" href="utils_2_utils_8h_source.xhtml#l00510">NPYLoader::is_fortran()</a>, <a class="el" href="utils_2_utils_8h_source.xhtml#l00504">NPYLoader::is_open()</a>, <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">CLTensor::map()</a>, <a class="el" href="utils_2_utils_8h_source.xhtml#l00488">NPYLoader::open()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0b092c86d6e0fb8a114281565953a02a">ITensor::print()</a>, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb">CLGEMM::run()</a>, <a class="el" href="utils_2_utils_8h_source.xhtml#l00720">arm_compute::utils::save_to_npy()</a>, <a class="el" href="_c_l_scheduler_8h_source.xhtml#l00174">CLScheduler::sync()</a>, <a class="el" href="_tensor_info_8h_source.xhtml#l00267">TensorInfo::total_size()</a>, <a class="el" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa4c614360da93c0a041b22e537de151eb">arm_compute::U</a>, and <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">CLTensor::unmap()</a>.</p>
-
-<p>Referenced by <a class="el" href="cl__sgemm_8cpp_source.xhtml#l00213">main()</a>.</p>
-<div class="fragment"><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml">NPYLoader</a> npy0, npy1, npy2;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> src0, src1, src2, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a62197192f0fbf4e0675eb37be1c4c175">alpha</a> = 1.0f, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a> = 0.0f;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <a class="code" href="classarm__compute_1_1_c_l_tuner.xhtml">CLTuner</a> tuner;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  CLScheduler::get().default_init(&tuner);</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>  std::ifstream stream;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">if</span>(argc > 1)</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>  stream.open(argv[1], std::fstream::in);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  }</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordflow">if</span>(argc < 3 || (argc < 4 && stream.bad()))</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  {</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="comment">// Print help</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  std::cout << <span class="stringliteral">"Usage: 1) ./build/cl_sgemm input_matrix_1.npy input_matrix_2.npy [input_matrix_3.npy] [alpha = 1] [beta = 0]\n"</span>;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  std::cout << <span class="stringliteral">" 2) ./build/cl_sgemm M N K [alpha = 1.0f] [beta = 0.0f]\n\n"</span>;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  std::cout << <span class="stringliteral">"Too few or no input_matrices provided. Using M=7, N=3, K=5, alpha=1.0f and beta=0.0f\n\n"</span>;</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>  src0.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa72161e0e3c0f6b2da20f835de6af680">init</a>(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(5U, 7U), 1, DataType::F32));</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  src1.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa72161e0e3c0f6b2da20f835de6af680">init</a>(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 5U), 1, DataType::F32));</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  src2.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa72161e0e3c0f6b2da20f835de6af680">init</a>(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(3U, 7U), 1, DataType::F32));</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="keywordflow">else</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  {</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">if</span>(stream.good()) <span class="comment">/* case file1.npy file2.npy [file3.npy] [alpha = 1.0f] [beta = 0.0f] */</span></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>  npy0.<a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a5988c0b8edbcd872e79d72cd47a8c18b">open</a>(argv[1]);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  npy0.<a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a6e3c7f7584c89bfed519597f40c08528">init_tensor</a>(src0, DataType::F32);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  npy1.<a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a5988c0b8edbcd872e79d72cd47a8c18b">open</a>(argv[2]);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  npy1.<a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a6e3c7f7584c89bfed519597f40c08528">init_tensor</a>(src1, DataType::F32);</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">if</span>(argc > 3)</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>  stream.close();</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  stream.clear();</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  stream.open(argv[3], std::fstream::in);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keywordflow">if</span>(stream.good()) <span class="comment">/* case with third file */</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  {</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  npy2.<a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a5988c0b8edbcd872e79d72cd47a8c18b">open</a>(argv[3]);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  npy2.<a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a6e3c7f7584c89bfed519597f40c08528">init_tensor</a>(src2, DataType::F32);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">if</span>(argc > 4)</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  {</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="comment">// Convert string to float</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  alpha = strtof(argv[4], <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">if</span>(argc > 5)</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  {</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="comment">// Convert string to float</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a> = strtof(argv[5], <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  }</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  }</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  }</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">else</span> <span class="comment">/* case without third file */</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  {</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  alpha = strtof(argv[3], <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordflow">if</span>(argc > 4)</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  {</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a> = strtof(argv[4], <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  }</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  }</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  }</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  }</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">else</span> <span class="comment">/* case M N K [alpha = 1.0f] [beta = 0.0f] */</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  {</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordtype">size_t</span> M = strtol(argv[1], <span class="keyword">nullptr</span>, 10);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordtype">size_t</span> N = strtol(argv[2], <span class="keyword">nullptr</span>, 10);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordtype">size_t</span> K = strtol(argv[3], <span class="keyword">nullptr</span>, 10);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  src0.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa72161e0e3c0f6b2da20f835de6af680">init</a>(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(K, M), 1, DataType::F32));</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  src1.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa72161e0e3c0f6b2da20f835de6af680">init</a>(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(N, K), 1, DataType::F32));</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  src2.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa72161e0e3c0f6b2da20f835de6af680">init</a>(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(N, M), 1, DataType::F32));</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">if</span>(argc > 4)</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  {</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  alpha = strtof(argv[4], <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">if</span>(argc > 5)</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  {</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a> = strtof(argv[5], <span class="keyword">nullptr</span>);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  }</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  }</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  }</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  }</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a3ff90da00700526d89a0ee29f85fd804">init_sgemm_output</a>(dst, src0, src1, DataType::F32);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="comment">// Configure function</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a> sgemm;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  sgemm.<a class="code" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#a48b9e5c0bdc8a7c306252dafff14741f">configure</a>(&src0, &src1, (src2.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#af398466b602a02b42d8df19fb66a6c60">total_size</a>() > 0) ? &src2 : <span class="keyword">nullptr</span>, &dst, alpha, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a>);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="comment">// Allocate all the images</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  src0.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">allocate</a>();</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  src1.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">allocate</a>();</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  dst.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">allocate</a>();</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="comment">// Fill the input images with either the data provided or random data</span></div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">if</span>(npy0.<a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">is_open</a>())</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  {</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  npy0.<a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a055a51a536088065021a54e13968521d">fill_tensor</a>(src0);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  npy1.<a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a055a51a536088065021a54e13968521d">fill_tensor</a>(src1);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordflow">if</span>(npy2.<a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">is_open</a>())</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  {</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  src2.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">allocate</a>();</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  npy2.<a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a055a51a536088065021a54e13968521d">fill_tensor</a>(src2);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  }</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  }</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  {</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  src2.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">allocator</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">allocate</a>();</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>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#abe777f4e6d2b0d9964eee32f5ae3fca7">fill_random_tensor</a>(src0, -1.f, 1.f);</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#abe777f4e6d2b0d9964eee32f5ae3fca7">fill_random_tensor</a>(src1, -1.f, 1.f);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#abe777f4e6d2b0d9964eee32f5ae3fca7">fill_random_tensor</a>(src2, -1.f, 1.f);</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>  <span class="comment">// Dummy run for CLTuner</span></div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  sgemm.<a class="code" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>();</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> </div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keyword">auto</span> start = std::chrono::high_resolution_clock::now();</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> </div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="comment">// Execute the function</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  sgemm.<a class="code" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>();</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> </div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="comment">// Make sure all the OpenCL jobs are done executing:</span></div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  CLScheduler::get().sync();</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keyword">auto</span> stop = std::chrono::high_resolution_clock::now();</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> </div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordflow">if</span>(!npy0.<a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">is_open</a>()) <span class="comment">/* If the inputs were not files, print the results */</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>  std::cout << <span class="stringliteral">"\nMatrix 1:"</span> << std::endl;</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  src0.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">map</a>(<span class="keyword">true</span>);</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  src0.<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0b092c86d6e0fb8a114281565953a02a">print</a>(std::cout, <a class="code" href="structarm__compute_1_1_i_o_format_info.xhtml">IOFormatInfo</a>());</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  src0.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">unmap</a>();</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>  std::cout << <span class="stringliteral">"Matrix 2:"</span> << std::endl;</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  src1.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">map</a>(<span class="keyword">true</span>);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  src1.<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0b092c86d6e0fb8a114281565953a02a">print</a>(std::cout, <a class="code" href="structarm__compute_1_1_i_o_format_info.xhtml">IOFormatInfo</a>());</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  src1.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">unmap</a>();</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  std::cout << <span class="stringliteral">"Matrix 3:"</span> << std::endl;</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  src2.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">map</a>(<span class="keyword">true</span>);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  src2.<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0b092c86d6e0fb8a114281565953a02a">print</a>(std::cout, <a class="code" href="structarm__compute_1_1_i_o_format_info.xhtml">IOFormatInfo</a>());</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  src2.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">unmap</a>();</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> </div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  std::cout << <span class="stringliteral">"Alpha:"</span> << alpha << <span class="stringliteral">"\n\n"</span>;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  std::cout << <span class="stringliteral">"Beta:"</span> << <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">beta</a> << <span class="stringliteral">"\n\n"</span>;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> </div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  std::cout << <span class="stringliteral">"Output Matrix:"</span> << std::endl;</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  dst.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">map</a>(<span class="keyword">true</span>);</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  dst.<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0b092c86d6e0fb8a114281565953a02a">print</a>(std::cout, <a class="code" href="structarm__compute_1_1_i_o_format_info.xhtml">IOFormatInfo</a>());</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  dst.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">unmap</a>();</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  }</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordflow">else</span> <span class="comment">/* Save to .npy file */</span></div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  {</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <a class="code" href="namespacearm__compute_1_1utils.xhtml#a3f8c80e5ec379049ad0a9ba1d8ad5547">save_to_npy</a>(dst, <span class="stringliteral">"sgemm_out.npy"</span>, npy0.<a class="code" href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a8aa067630bcfd267bf3389ae27e70e76">is_fortran</a>());</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">auto</span> delta = std::chrono::duration_cast<std::chrono::microseconds>(stop - start);</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  std::cout << <span class="stringliteral">"Time elapsed: "</span> << delta.count() << <span class="stringliteral">"us."</span> << std::endl;</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> }</div><div class="ttc" id="classarm__compute_1_1_c_l_tuner_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_tuner.xhtml">arm_compute::CLTuner</a></div><div class="ttdoc">Basic implementation of the OpenCL tuner interface. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tuner_8h_source.xhtml#l00037">CLTuner.h:37</a></div></div>
-<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ab146b9cbab6e73e7588b240dc709fe01"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ab146b9cbab6e73e7588b240dc709fe01">arm_compute::test::validation::beta</a></div><div class="ttdeci">beta</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_n_e_o_n_2_g_e_m_m_8cpp_source.xhtml#l00109">GEMM.cpp:109</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00038">TensorShape.h:38</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_xhtml_a48b9e5c0bdc8a7c306252dafff14741f"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#a48b9e5c0bdc8a7c306252dafff14741f">arm_compute::CLGEMM::configure</a></div><div class="ttdeci">void configure(const ICLTensor *a, const ICLTensor *b, const ICLTensor *c, ICLTensor *output, float alpha, float beta)</div><div class="ttdoc">Initialise the kernel&#39;s inputs and output. </div></div>
-<div class="ttc" id="classarm__compute_1_1utils_1_1_n_p_y_loader_xhtml_a8aa067630bcfd267bf3389ae27e70e76"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a8aa067630bcfd267bf3389ae27e70e76">arm_compute::utils::NPYLoader::is_fortran</a></div><div class="ttdeci">bool is_fortran()</div><div class="ttdoc">Return true if a NPY file is in fortran order. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00510">Utils.h:510</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::CLGEMM::run</a></div><div class="ttdeci">void run() override</div><div class="ttdoc">Run the kernels contained in the function. </div></div>
-<div class="ttc" id="classarm__compute_1_1utils_1_1_n_p_y_loader_xhtml_a6e3c7f7584c89bfed519597f40c08528"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a6e3c7f7584c89bfed519597f40c08528">arm_compute::utils::NPYLoader::init_tensor</a></div><div class="ttdeci">void init_tensor(T &tensor, arm_compute::DataType dt)</div><div class="ttdoc">Initialise the tensor&#39;s metadata with the dimensions of the NPY file currently open. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00521">Utils.h:521</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_ad6dc6b773780dd6b1ad17fc82368d9f3"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">arm_compute::CLTensor::allocator</a></div><div class="ttdeci">ITensorAllocator * allocator()</div><div class="ttdoc">Return a pointer to the tensor&#39;s allocator. </div></div>
-<div class="ttc" id="classarm__compute_1_1utils_1_1_n_p_y_loader_xhtml_a055a51a536088065021a54e13968521d"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a055a51a536088065021a54e13968521d">arm_compute::utils::NPYLoader::fill_tensor</a></div><div class="ttdeci">void fill_tensor(T &tensor)</div><div class="ttdoc">Fill a tensor with the content of the currently open NPY file. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00545">Utils.h:545</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_a97de03c31e0ca04be6960e2e3ffdca95"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">arm_compute::CLTensor::info</a></div><div class="ttdeci">TensorInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor&#39;s metadata. </div></div>
-<div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_a14c53d2d17be6fa8a2c9861527c7b002"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">arm_compute::CLTensor::map</a></div><div class="ttdeci">void map(bool blocking=true)</div><div class="ttdoc">Enqueue a map operation of the allocated buffer. </div></div>
-<div class="ttc" id="namespacearm__compute_1_1utils_xhtml_abe777f4e6d2b0d9964eee32f5ae3fca7"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#abe777f4e6d2b0d9964eee32f5ae3fca7">arm_compute::utils::fill_random_tensor</a></div><div class="ttdeci">void fill_random_tensor(T &tensor, float lower_bound, float upper_bound)</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00839">Utils.h:839</a></div></div>
-<div class="ttc" id="classarm__compute_1_1utils_1_1_n_p_y_loader_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml">arm_compute::utils::NPYLoader</a></div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00476">Utils.h:476</a></div></div>
-<div class="ttc" id="structarm__compute_1_1_i_o_format_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_i_o_format_info.xhtml">arm_compute::IOFormatInfo</a></div><div class="ttdoc">IO formatting information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00872">Types.h:872</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">arm_compute::CLGEMM</a></div><div class="ttdoc">Basic function to execute GEMM on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_8h_source.xhtml#l00051">CLGEMM.h:51</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_af398466b602a02b42d8df19fb66a6c60"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#af398466b602a02b42d8df19fb66a6c60">arm_compute::TensorInfo::total_size</a></div><div class="ttdeci">size_t total_size() const override</div><div class="ttdoc">Returns the total size of the tensor in bytes. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00267">TensorInfo.h:267</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">Tensor dst</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_n_e_o_n_2_g_e_m_m_8cpp_source.xhtml#l00118">GEMM.cpp:118</a></div></div>
-<div class="ttc" id="classarm__compute_1_1utils_1_1_n_p_y_loader_xhtml_a2f57f54d8c03b615bb31eee091d8a88a"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a2f57f54d8c03b615bb31eee091d8a88a">arm_compute::utils::NPYLoader::is_open</a></div><div class="ttdeci">bool is_open()</div><div class="ttdoc">Return true if a NPY file is currently open. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00504">Utils.h:504</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_i_tensor_allocator_xhtml_aa8a4946cd749d482dd996874d295af85"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">arm_compute::ITensorAllocator::allocate</a></div><div class="ttdeci">virtual void allocate()=0</div><div class="ttdoc">Interface to be implemented by the child class to allocate the tensor. </div></div>
-<div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a3f8c80e5ec379049ad0a9ba1d8ad5547"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a3f8c80e5ec379049ad0a9ba1d8ad5547">arm_compute::utils::save_to_npy</a></div><div class="ttdeci">void save_to_npy(T &tensor, const std::string &npy_filename, bool fortran_order)</div><div class="ttdoc">Template helper function to save a tensor image to a NPY file. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00720">Utils.h:720</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_i_tensor_allocator_xhtml_aa72161e0e3c0f6b2da20f835de6af680"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa72161e0e3c0f6b2da20f835de6af680">arm_compute::ITensorAllocator::init</a></div><div class="ttdeci">void init(const TensorInfo &input)</div><div class="ttdoc">Initialize a tensor based on the passed TensorInfo. </div></div>
-<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a></div><div class="ttdoc">Store the tensor&#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00044">TensorInfo.h:44</a></div></div>
-<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a62197192f0fbf4e0675eb37be1c4c175"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a62197192f0fbf4e0675eb37be1c4c175">arm_compute::test::validation::alpha</a></div><div class="ttdeci">alpha</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_n_e_o_n_2_g_e_m_m_8cpp_source.xhtml#l00109">GEMM.cpp:109</a></div></div>
-<div class="ttc" id="classarm__compute_1_1utils_1_1_n_p_y_loader_xhtml_a5988c0b8edbcd872e79d72cd47a8c18b"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_n_p_y_loader.xhtml#a5988c0b8edbcd872e79d72cd47a8c18b">arm_compute::utils::NPYLoader::open</a></div><div class="ttdeci">void open(const std::string &npy_filename)</div><div class="ttdoc">Open a NPY file and reads its metadata. </div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00488">Utils.h:488</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_a1ffeb3b5abb3d61f62b58a391816201c"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">arm_compute::CLTensor::unmap</a></div><div class="ttdeci">void unmap()</div><div class="ttdoc">Enqueue an unmap operation of the allocated and mapped buffer. </div></div>
-<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a0b092c86d6e0fb8a114281565953a02a"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a0b092c86d6e0fb8a114281565953a02a">arm_compute::ITensor::print</a></div><div class="ttdeci">void print(std::ostream &s, IOFormatInfo io_fmt=IOFormatInfo()) const </div><div class="ttdoc">Print a tensor to a given stream using user defined formatting information. </div></div>
-<div class="ttc" id="namespacearm__compute_1_1utils_xhtml_a3ff90da00700526d89a0ee29f85fd804"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml#a3ff90da00700526d89a0ee29f85fd804">arm_compute::utils::init_sgemm_output</a></div><div class="ttdeci">void init_sgemm_output(T &dst, T &src0, T &src1, arm_compute::DataType dt)</div><div class="ttdef"><b>Definition:</b> <a href="utils_2_utils_8h_source.xhtml#l00878">Utils.h:878</a></div></div>
-<div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml">arm_compute::CLTensor</a></div><div class="ttdoc">Basic implementation of the OpenCL tensor interface. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8h_source.xhtml#l00039">CLTensor.h:39</a></div></div>
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+<p>Definition at line <a class="el" href="cl__sgemm_8cpp_source.xhtml#l00223">223</a> of file <a class="el" href="cl__sgemm_8cpp_source.xhtml">cl_sgemm.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> {</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordflow">return</span> utils::run_example<CLSGEMMExample>(argc, argv);</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> }</div></div><!-- fragment -->
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<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
<ul>
<li class="navelem"><a class="el" href="dir_d28a4824dc47e487b107a5db32ef43c4.xhtml">examples</a></li><li class="navelem"><a class="el" href="cl__sgemm_8cpp.xhtml">cl_sgemm.cpp</a></li>
- <li class="footer">Generated on Thu Dec 14 2017 23:48:33 for Compute Library by
+ <li class="footer">Generated on Wed Jan 24 2018 14:30:42 for Compute Library by
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<img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
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